tº 39– er 24, 25. C6 2- DRAFT º ENVIRONMENTAL IMPACT STATEMENT ROYAL GORGE EIS AREA, COLORADo PROPOSED DOMESTIC LIVESTOCK GRAZING PROGRAM Prepared by BUREAU OF LAND MANAGEMENT DEPARTMENT OF THE INTERIOR CONSERVE United States Department of the Interior BU REAU OF LAND NAA NAG ENMENT COLOR ADO STATE OFFICE RO OM 7 OO, COLOR ADO STATE BANK BU | LO NG | 6 OO BROA OVW A Y OEN VER, COLORADC 8 O 2 O2 NOTICE Enclosed for your review and comment is the draft environmental impact statement (DEIS) for the management of livestock grazing in the Royal Gorge Resource Area. This statement is based on information developed by the Bureau of Land Management and the Department of the Interior. Information and data were supplied by and in coordination and consultation with Federal, state, and local governmental departments and agencies and a number of organizations and individuals. The purpose of the statement is to address various alternatives for a grazing management plan, including a preferred alternative and to assess the possible impacts from the various alternatives. The statement discusses regional and local impacts associated with the five grazing management alternatives. Impact assessment includes coverage of 368 grazing management units on 589,675 acres of public land in south-central Colorado. Impacts were analyzed over two projection periods, a short term (5 years) and a long term (20 years), for 16 resource values. Af We would appreciate receiving any review comments you may wish to make as soon as possible. The comment period extends to May 12, 1980. A series of public meetings were heid in seven cities in central and southern Colorado during the spring and summer of 1979 to explain the proposed grazing plan. A formal hearing on the statement is scheduled for early May. Information on this hearing will be announced by local, regional, and national news media. DALE R. AND RUS State Director Save Energy and You Serve Americal ;VEW FORMAT The printing of EISs is necessary for public awareness and participation in management decisions concerning public lands. Two factors have principally contributed to experimentally printing this EIS in newspaper pertaining to the printing of EISs direct that they be more readable and in other ways more accessible to the general public. For example, EISs may not exceed 150 pages (excluding appendices) and must be written in clear, understandable language. Printing in newspaper format reduces printing costs enormously. Readability also benefits through use of larger type. Reduced printing, format. First, in the past few years, printing Costs have increased enormously. To handling and mailing costs encourages a wider dissemination and increased readership of the document which is consistent with the new EPA regulations. reduce overall costs for production of draft and final EISs, the Bureau has experimented with printing only the draft EIS and publishing corrections, additions, and Comments as an addendum rather than reprinting the whole document as a final EIS. Still, printing costs have been high. Since this is the first use Of this new format, the Bureau of Land Management would appreciate your comments. Any comments pro or con should be addressed to the District Manager, Bureau of Land Management, P.O. Box 311, Canon City, Colorado 81212. Second, new Environmental Protection Agency (EPA) regulations SUMMARY (X) Draft ( ) Final Environmental Impact Statement Department of the Interior, Bureau of Land Management 1. Type of Action: (X) Administrative ( ) Legislative 2. Brief Description of Action: The Bureau of Land Management proposes to implement a domestic livestock grazing program for the Royal Gorge Resource Area (approximately 589,675 acres of public lands) in the Canon City District, located in south-central Colorado. The overall objective is to increase livestock/wildlife forage by 6,551 AUMs, from a present total of 14,212 AUMs to 20,163 AUMs, by the year 2000. Components of the proposed action are: (1) intensive grazing management through allotment management plans (AMPs) on 379,380 acres, (2) less intensive management on 189,900 acres, (3) elimination of grazing on 20,395 acres, and (4) completion of the following vegetation manipulation projects and range facilities required to implement the intensive management AMPs: 18,530 acres of thinning, 4,900 acres of burning, 200 acres of brushland plowing, 9 reservoirs, 28 catch ments, 67 spring developments, 2 wells, 3.3 miles of pipeline, 80 miles of fence, 4 cattleguards, 1 water storage tank, and 4 water troughs. 3. Summary of Environmental Impacts: Vegetation would improve in quantity and quality; plant vigor and production would be increased from 14,212 AUMs to 20,763 AUMs. Runoff and erosion would decrease as a result of improved watershed conditions. Deer, elk, and bighorn habitat would improve. Aquatic and riparian habitats would stabilize or improve on m OSt areas. Livestock grazing and income would be reduced in the short and long term. Ranching costs would increase. Visual quality and recreational usage would be slightly affected. Income from recreation-related sources would increase. 4. Alternatives considered: Preferred No Action Elimination of Grazing Management Constraints Nonintensive ; 5. Comments requested from the following: See list of agencies, organizations, and persons to whom copies of the statement are sent. 6. Date Draft Statement made available for *** **puble MAR 17 1980 LIST OF AGENCIES, ORGANIZATIONS, AND PERSONS TO WHOM COPIES OF THE STATEMENT ARE SENT Comments On the Environmental Statement will be requested from the following agencies and interest groups: Federal Agencies Department of the Interior Geological Survey Water and Power Resources Service Fish and Wildlife Service National Park Service Heritage Conservation and Recreation Service Department of Agriculture Forest Service Soil Conservation Service Environmental Protection Agency Advisory Council on Historic Preservation Colorado State Agencies Office of the Governor Colorado Division of Planning-State Clearing House (Distributes to State Agencies) Colorado Historical Society Local Government Fremont, Chaffee, Lake, Park, Teller, Custer, Hu er fan o, and El Paso County Commissioners and Planning Commission Other Organizations American Fisheries Society - Colorado Association of Soil Conservation Districts Colorado Cattlemen's Association Colorado Farm Bureau Colorado Four Wheel Drive Clubs Colorado Guides and Outfitters Association Colorado Mining Association Colorado Open Space Council Colorado Parks and Recreation Society Colorado Rivers Council Colorado Sportsmen Association Colorado Wildlife ASSOciation Colorado Wildlife Federation Colorado Wool Grower's Association Environmental Defense Fund Izaak Walton League of America National Audubon Society National Council of Public Land Users National Resources Defense Council Rockwell international Sierra Club Society for Range Management Trout Unlimited The Wilderness Society Individuals Dick Loper James Lindzey Paul Friesema William Southern Livestock Operators 4 — ROYAL GORGE ENVIRONMENTAL STATEMENT TABLE OF CONTENTS sº * * * * * * * * * * * * * * * * * * * * * e e s e e s e e s e o e e s e e s e s e e s a e s e e s e e < e < e < e < e < e e s e e s a e e s a e s e a e e s = e s e e * * * * * * * * * * * * * * * * * * * * * * e s e e s e e s a e s e s e e s e e s s e º 'º e º e º e º e e s e e e s a e e s a e s a e e e s e e s e e s e s e e s a e CHAPTER 2 DESCRIPTION OF THE ALTERNATIVES. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Preferred Alternative (Intensive Management) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Grazing Treatments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Key Species and Rest Treatment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Facilities and Land Treatments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Facility and Treatment Design Features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Adjustments in Grazing Use and Proposed Utilization Level . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Benefit/Cost Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nonintensive Management Units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Elimination of Grazing Units. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unallotted Units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Monitoring, Evaluation, and Adjustment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Implementation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . No Action (Continuation of Present Grazing Management) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Elimination of Grazing Alternative . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Management Constraints Alternative . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nonintensive Management Alternative . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Alternatives Dropped From Consideration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Impact Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Interrelationships . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . The Decision to Graze . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Determination of Management Level . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Determination of Stocking Level . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Rationale for Range Improvements. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . State and Private Land . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Federal Programs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . State Programs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Local Programs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . CHAPTER 3 AFFECTED ENVIRONMENT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Setting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Soils . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Vegetation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Vegetative Types. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Poisonous and Noxious Plants. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Threatened and Endangered Plants . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Condition. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Apparent Trend . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Production . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Livestock . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Wildlife. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Mule Deer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Elk . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Antelope . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Bighorn Sheep . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Riparian-Broadleaf-Associated Species . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Mountain Shrub-Associated Species . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Conifer-Associated Species. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Grassland-Associated Species . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Threatened and Endangered Animals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Aquatic Resources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Recreation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Economics and Social Values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Income . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Government Finance and Tax Base . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Social Values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Water Resources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Water Quantity. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Water Quality . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Cultural Resources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Archaeology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Historic Resources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Paleontology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Visual Resources Management . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Forestry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Wilderness . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Flood Plains/Flood Hazard Evaluation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . CHAPTER 4 ENVIRONMENTAL CONSEQUENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Assumptions and Anal Preferred Alternative . ysis Guidelines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . • * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Impacts on Vegetation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Impacts on Livestock . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Impacts on Wildlife 10 10 10 10 10 12 13 13 14 14 14 15 15 15 16 16 16 16 16 16 16 17 17 17 17 17 17 19 19 19 19 19 23 23 23 23 24 24 24 26 26 26 26 29 29 29 30 30 30 30 30 32 32 33 34 34 34 34 34 35 35 35 35 36 36 37 37 37 38 38 38 38 38 40 40 Impacts on Aquatic Resources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 Impacts on Recreation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 Impacts on Economics and Social Values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 Impacts on Water Resources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 Impacts on Soils . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 Impacts on Archaeology. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50 Impacts on Visual Resources Management (VRM) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50 Impacts on Forestry. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . • • • - - - - - - - 50 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 No Action . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 Impacts on Vegetation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 Impacts on Livestock . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 Impacts on Wildlife. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 Impacts on Aquatic Resources. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 Impacts on Recreation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53 Impacts on Economics and Social Values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53 Impacts on Water Resources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 Impacts on Soils . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 Impacts on Archaeology. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 Impacts on Visual Resources Management (VRM) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 Impacts on Forestry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 Elimination of Grazing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 Impacts on Vegetation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 Impacts on Livestock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 Impacts on Wildlife. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 Impacts on Aquatic Resources. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 Impacts on Recreation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 Impacts on Economics and Social Values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 Impacts on Water Resources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 Impacts on Soils . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 Impacts on Archaeology. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 Impacts on Visual Resources Management (VRM) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 Impacts on Forestry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 Management Constraints. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 Impacts on Vegetation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 Impacts on Livestock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 Impacts on Wildlife. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 Impacts on Aquatic Resources. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60 Impacts on Recreation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60 Impacts on Economics and Social Values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60 Impacts on Water Resources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 Impacts on Soils . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 Impacts on Archaeology. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 Impacts on Visual Resources Management (VRM) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 Impacts on Forestry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 Nonintensive Alternative . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63 Impacts on Vegetation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63 Impacts on Livestock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63 Impacts on Wildlife. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63 Impacts on Aquatic Resources. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64 Impacts on Recreation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64 Impacts on Economics and Social Values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 Impacts on Water Resources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 Impacts on Soils . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 Impacts on Archaeology. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 Impacts on Visual Resources Management (VRM) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Impacts on Forestry. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 The Relationship Between Local Short-Term Uses of Man's Environment and the Maintenance and Enhancement of Long-Term Productivity. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Cumulative Impacts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Trends Significantly Impacting Environmental Values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Long- and Short-Term Benefits. . . . . . . . . . . . . . . . . . • * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * > . . . . . . . . . . . . . . . . . . 66 Risks to Health and Safety. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Alteration in Quality of Life . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Irreversible and Irretrievable Commitment of Resources Which Would Be Involved if the Preferred Alternative Were Implemented . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 LIST OF PREPARERS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 APPENDIX A-SUMMARY OF GRAZING MANAGEMENT RECOMMENDATIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . A-1 APPENDIX B–RANGELAND MANAGEMENT PROPOSAL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . B-1 APPENDIX C–SOIL ASSOCIATIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . C-1 APPENDIX D–STREAM PROFILE RATING SYSTEM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . D-1 APPENDIX E–RECREATIONAL USE DATA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . E-1 APPENDIX F-ECONOMICS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . F-1 APPENDIX G–RUNOFF, PEAK FLOWS, AND SEDIMENT YIELD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . G-1 APPENDIX H-WILDLIFE DATA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . H-1 LITERATURE CITED . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . LC-1 GLOSSARY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . GL-1 TABLE OF CONTENTS – 5 6 — ROYAL GORGE ENVIRONMENTAL STATEMENT Five alternatives for rangeland management, one of which is preferred over the others, are presented in this environmental impact statement. They are the Preferred Alternative, No Action (continuation of present management), Elimination of Grazing (elimination of all livestock grazing on public lands), Management Constraints (curtailment of livestock grazing in favor of the development and use of other resources), and Non intensive Management (continuation of present management with reduced livestock grazing). Livestock management under the Preferred Alternative is based on recently completed Management Framework Plans (MFPs) of the Royal Gorge and the Raton Basin Planning Areas. These MFPS were written from recommendations of BLM resource Specialists and considered public opinion. They present objectives for future use of resources on public lands and describe specific action plans to accomplish them. Only the Preferred Alternative fulfills objectives for rangeland management as well as objectives for all of the other resources in these MFPs. On the basis of MFP decisions, three objectives were defined for rangeland management: (1) improve livestock grazing habitat; (2) provide additional livestock forage on intensively managed units above the 1977-78 range survey level; and (3) provide livestock forage on a sustained yield basis to management units where intensive management is not possible. On the basis of MFP decisions five objectives were defined for other resources: (1) provide forage to meet projected wildlife needs; (2) improve fisheries on 33 streams on public land; (3) reduce erosion rates on public lands; (4) enhance existing recreational opportunities; and (5) provide additional access to public lands. Whichever of the alternatives (or combination of them) is selected, these objectives should be fulfilled to comply with MFP decisions and maintain the spirit of multiple use. Impacts Impacts of each of the five alternatives are summarized below and all impacts would originate from the initial effect of grazing reductions on vegetation and would accrue gradually. In this EIS they have been assessed at two points—5 years after implementation of a given management program (short term) and 20 years after implementation (long term). The one exception is economics, in which impacts are expressed as yearly averages over 5 years and over 20 years. For example, under the Preferred Alternative, total yearly property tax collections would average $5,472 less over 5 years but in the long term, as range improved and vegetation allocations were adjusted upward, ranch equity would increase and early losses in tax revenues would be recouped. After 20 years, tax revenue losses would average only $2,347 per year. Except for economics, short-term changes are not discussed in this summary. Impacts take place so slowly that even 20 years (long term for the purpose of this EIS) are too short to observe much change; therefore only long-term impacts are indicated. Where increases and decreases are noted, the change is always relative to present conditions. With the exception of impacts on the local economy and on the Arkansas River watershed (e.g., sediment yield, peak flows, and runoff), impacts described in this summary and throughout this document apply only to public lands. A more lengthy but readable description of the cause-effect sequence of impacts and evaluation of their relative importance appears in Chapter 4. Methods for gathering SUMMARY background data and criteria for analysis are explained further in the Appendices. All data used in this summary are drawn from Table 2-5, a quantitative summary of impacts. Preferred Alternative Upon implementation, there would be a reduction in livestock use from 39,369 AUMS to 14,212 AUMS On public rangelands. As a result, livestock production per animal per year would increase. The number of AUMs available annually would gradually increase, reaching 20,763 after 20 years. Net revenues to 21 large ranchers would decrease from an average of $34,449 per year per rancher to $27,470 in the short term. In the long term, net revenues to large ranchers would average $31,521 per year. Net revenues to 72 small ranchers would decrease from $352 per year per rancher to an average operating loss of $3,785 in the short term; operating loss would average $1,628 in the long term. Construction of range improvements would cost $2.4 million. Short-term labor losses would total 17.9 person-years. Some of that loss would be recovered by increased employment as range improves and stocking level is increased. Over the long term, total labor losses would shrink to 7.2 person-years. Total yearly property tax collections from all ranchers, large and small, would average $5,472 less in the short term and average $2,347 less over the long term. Income would increase in the government sector by $90,000 due to costs of administering the range program. After 20 years, total live vegetative cover would increase 12 percent, from 22.5 to 25.2 percent cover. The condition of range suitable for grazing would improve; 200 more acres would reach excellent condition, 23,430 more acres good condition, and 23,630 acres less would be in poor condition. Of 438,959 acres of range suitable for grazing, 341,834 acres in a downward trend (78 percent) would reach stable range condition. This improvement would be attributable primarily to increases in vigor and production of range forage plants. Vegetative composition on public lands would change to more desirable species, but composition change takes place slowly so even in the long term (20 years) it would only be slight. Out of 109 miles of riparian habitat, 3.5 miles would improve from fair condition to excellent in the long term (20 years). An additional 41.3 miles of riparian habitat would assume an apparent upward trend instead of its current downward trend. Of the 109 miles, 53 miles would be in good or excellent condition; 99 miles of the 109 would be either in an upward trend or stable (Table 2-5). Consumptive use of water by livestock and wildlife would decrease from 50 to 15 acre-feet of water per year over 20 years. Changes in peak flows, runoff, and sediment yield would reflect increases or decreases in vegetative cover and production. These changes were calculated only for lands that are proposed for intensive management under the Preferred Alternative. These lands constitute 64 percent of the total land surface affected by proposals in this EIS and would experience the major changes. Water resources calculations for the Other alternatives involve the same land surface only under different kinds of management. Changes taking place on the remaining 36 percent of the land surface were calculated to be very minor by comparison and would do little to alter the major results, so they were excluded from consideration. Peak flows from 10-year storms would decrease 3 percent and volume of runoff from a 10-year storm would decrease about 3 percent over the long term. Sediment entering the Arkansas River would gradually reach 10 percent reduction after 20 years. No change would Occur in the amount of sediment entering the South Platte River. Overall there would be, accordingly, 25 percent less erosion (also see changes in the number of acres in each erosion condition class (Table 2-5), a more generalized measure of land's susceptibility to erosion). Wildlife habitat would be largely unaffected by management of rangelands under the Preferred Alternative, although some smaller areas would be improved and others degraded. Wildlife would benefit from increased forage and water resulting from cutbacks in livestock grazing and redistribution of animals to other areas. Some degradation of wildlife habitat would occur elsewhere, principally because of increased competition for food and water as livestock are introduced into areas previously seldom or never grazed and as burning and thinning, carried out for improvement of rangeland, destroys some wildlife cover. Overall, however, habitat would benefit. Improvement would occur on 13 percent of mule deer habitat, degradation on 2 percent. For elk habitat, 8 percent would be improved, 1 percent degraded; for bighorn sheep, 5 percent and 0.1 percent (Table 2-5 shows acreage). Forage available for wildlife would gradually increase; 26 percent more would become available annually in the long term. Wildlife populations in the region as a whole would not be expected to increase significantly since small improvements in habitat on public land would be offset by losses of habitat to other uses on private lands. These other uses would be unrelated to range management, such as construction of housing, building of roads, mining, and development of recreational facilities. With the improvement of riparian and wildlife habitat, hunting and fishing would be expected to improve. A 2 percent increase in recreation days, principally in hunting and fishing, would be gradually realized over the long term (Table 2-5 indicates numbers). Increases in recreation days would be accompanied by expenditures for goods and services, bringing more money into the local economy. The total increase for all recreational activities would average $213,133 per year over the long term. As vegetative cover increases on rangelands, visual quality and variety would also be expected to improve. Damage to cultural resources would continue because of livestock grazing, but difficulties inherent in assessing damage to archaeological resources preclude evaluation of losses here. Impacts to known resources or resources discovered during implementation of range improvement projects will be mitigated on site-specific basis. No Action Livestock use would remain at its present level of 39,369 AUMs with no chance for increase in the long term (20 years). Livestock production per animal per year would remain at its present level or decrease slightly. No rangeland improvements would be COnStructed. No changes in revenue would accrue to livestock operators. Similarly, there would be no changes in ranch labor, property tax collections, or government- related income. Of 438,959 acres of range suitable for grazing, there would be no change in the number of acres presently in upward, downward, and stable trend (2,664, 346,834, and 89,461, respectively) over the long term. The number of acres in good or excellent range COndition would remain the but 5,000 to 10,000 of the 99,133 acres of range presently in fair condition could decline into poor condition. Vegetative composition on public lands would not change. Condition of riparian habitat where livestock graze would not change. Improvement would occur on 1.5 miles of stream due to factors unrelated to livestock management. Apparent trend on 109 miles of stream fisheries also would not change. Consumptive use of water by livestock would remain at 50 acre-feet. Total runoff from a 10-year storm would continue to be 22.22 acre-feet per square mile. Peak flows from a 10-year storm would gradually increase due to loss of Cover, by 14 percent over the long term on a few units not currently grazed but which would be allotted upon demand. This increase would not significantly alter the average peak flow from public rangelands, however. Sediment entering the Arkansas River would not be expected to change (presently 1.9 million tons per year). After 20 years, sediment yield per acre would have increased slightly, from 1.55 to 1.64 tons per acre per year, due to gradual loss of cover, but there could be no change in the amount of land in erosion Condition classes, a more general measure of Susceptibility to erosion (Table 2-5). There would be a slight but unmeasurable decline of mule deer, elk, and bighorn sheep habitat from present condition. Forage available for wildlife and Competition for forage with livestock would remain at present levels. Recreational use for hunting would decrease 300 days for deer (9 percent) and 50 days for elk (2 percent) as habitat and wildlife numbers decline. This decrease in recreation days would result in loss of revenue for the local economy, over the long term averaging $44,576 per year. Damage to cultural resources because of livestock grazing would continue at its present rate, which Cannot be assessed due to difficulties inherent in evaluation. There would be no damage to archaeological resources because of range improvements, as none would be implemented. Elimination of Grazing Upon implementation, all of the 39,369 AUMs presently harvested by livestock would no longer be available. In some respects, this would be beneficial. The apparent downward trend on public rangelands would reverse itself. All of the 341,834 acres currently Showing downward trend in range condition would become stable. Range condition would not change because it depends on large changes in component factors—vegetative production, density, cover, and Species composition—which would take much longer than 20 years, the long-term endpoint for the EIS. Smaller beneficial changes would take place, however. Vegetative cover would gradually increase 8 percent, from 22.5 to 24.3 percent cover, after 20 years. Vigor and production in range forage plants would improve and composition of forage plants would shift toward more desirable species for grazing. Elimination of grazing would have adverse effects economically. Net revenues to 21 large ranchers would decrease from an average of $34,449 per year per rancher to $24,457 while net revenues to 72 small ranchers would decrease from an average of $352 to an operating loss of $5,575 per rancher per year over the long term. Long-term ranch labor losses would total 26.6 person-years. Total yearly property tax Collections from all ranchers, large and small, would average $7,120 per year less over the long term. Fences Costing an estimated $18 to $30 million (6,000 to 10,000 miles total) would have to be constructed by ranchers and would yield no economic return to them. Riparian habitat would improve, limited only by site potential. Of the 109 miles of stream in the EIS area, 49 miles would reach excellent condition (3.3 at present), 46.25 miles good condition (46.25 at present), 10 miles fair condition (46.60 at present), and 4 miles would remain in poor condition (13.15 at present) after 20 years. All 109 miles would be in an apparent stable Condition or upward trend; 56.25 miles of stream fisheries are presently in a downward trend. Consumptive use of water by livestock would cease, making an additional 44 acre-feet of water available on public lands. Volume of runoff from a 10- year storm would decrease by 10 percent and peak flows from 10-year storms would gradually decrease by 15 percent in 20 years. Sediment load in the Arkansas would have decreased from 1.9 million tons per year to 1.49 million tons per year (24 percent). Sediment yield per acre per year would have decreased from 1.55 tons to 0.54 tons (65 percent) on management units currently grazed (90 percent of public rangelands in the EIS area). No change in Sediment yield would have occurred in areas which currently are not grazed (10 percent of public rangeland). Less erosion would occur overall, but data was not available with which to calculate the amount of rangeland that would fall in different erosion classes. Wildlife habitat would be largely unaffected by elimination of grazing on public rangelands. Improvement would occur on 5 percent of mule deer habitat and 10 percent of elk habitat. Bighorn sheep habitat would not be affected. An estimated 13,500 AUMS would be available for big game. There would be no competition with livestock for forage on public lands. With improvement of riparian and wildlife habitat, hunting and fishing would be expected to improve (Table 2-5). An increase of 26 percent in recreation days for deer hunting, 13 percent for elk hunting, and 57 percent for bighorn sheep would be realized gradually over the long term. There would be a 10 percent increase in recreation days for fishing. Increases in recreation days would be accompanied by expenditures for goods and services, bringing more money into the local economy. The total increase for all recreational activities would average $617,349 per year over the long term (20 years). With increases in vegetative cover and production, visual variety and therefore quality would also improve. Damage to Cultural resources because of livestock grazing would cease. Management Constraints Upon implementation, a reduction in livestock use from 39,369 AUMs to 10,413 AUMS would occur on public rangelands. Over the long term, live vegetative cover would increase 9 percent, from 22.5 to 24.6 percent cover. Of the 438,959 acres of range suitable for grazing, 341,834 acres presently exhibiting a downward trend in range condition would become stable. The condition of range suitable for grazing would improve; 100 more acres would reach excellent condition, 7,160 more good condition, and 7,160 acres less would be in poor condition. Beneficial impacts on Condition would be attributable to land treatments. The number of AUMs annually available would gradually increase, reaching 14,659 after 20 years. Net revenues to 21 large ranchers would decrease from an average of $34,449 per year per rancher to $19,786 over the short term but would average $20,904 SUMMARY —7 per year per rancher over the long term. Net revenues to 72 smaller ranchers would decrease from an average of $352 per year per rancher to an average net operating loss of $4,726 in the short term and an average net operating loss of $3,985 over the long term. Range improvements would cost $6.5 million. Ranchers would pay $5.9 million for fencing to keep livestock off public lands. BLM would provide $604,000 for range improvements. In the short term, a total of 22.7 person-years of ranch labor would be lost. Some of that would be recovered because employment would increase as range improves and stocking level is again increased. Over the long term, labor losses would total 19.2 person-years. Total yearly local property tax Collections from all ranchers, large and small, would average $6,075 less per year in the short term and $5,139 less per year over the long term. Income would increase in the government sector by $60,000 due to costs of administering the program. Riparian habitat would improve; of 109 miles in the EIS area, 13 miles of stream would become excellent (3.60 at present), 47.75 miles good (46.25 at present), 40.58 miles fair (46.60 at present) and 7.62 miles poor (13.15 at present) after 20 years. There would be 56.25 miles of stream in apparent stable condition, 42.85 miles in an upward trend, and 10.2 miles in downward trend compared to current levels of 56.25, 1.50, and 51.50 miles, respectively. Consumptive use of water for livestock would decrease from 50 acre-feet to 12 acre-feet per year. Runoff from rangelands would decrease, reflecting increases in vegetative cover and production. Volume of runoff from a 10-year storm would gradually decrease by 6 percent and peak flows from 10-year storms would be reduced 8 percent after 20 years. Sediment yield would gradually change, decreasing 15 percent after 20 years. Erosion generally would decrease, but data was not available with which to Calculate the amount of rangeland that would fall in different erosion classes (Table 2-5). Wildlife habitat in the EIS area would be largely unaffected by the management of rangelands (Table 2- 5). Improvement would occur on 11 percent of mule deer habitat, degradation on 2 percent. For elk habitat, 5 percent would be improved, 1 percent degraded; for bighorn sheep, 5 percent would be improved. Forage available for wildlife would gradually increase; after 20 years, 26 percent more (2,945 AUMs) would be available. With improvement of wildlife and riparian habitat, hunting and fishing would be expected to improve (Table 2-5). An increase of 41 percent in recreation days for deer hunting, 12 percent increase for elk hunting, 75 percent increase for bighorn sheep hunting, and 5 percent increase for fishing would gradually be realized over the long term (20 years). Increases in recreation days would be accompanied by expenditures for goods and services, bringing more money into the local economy. The total increase for all recreational activities would average $458,932 per year over the long term. With increases in vegetative cover and production, visual variety and therefore quality would improve. Damage to cultural resources due to livestock grazing would continue but at a slower rate than at present. No known sites would be destroyed by range improvement projects. Impacts to newly discovered sites will be properly mitigated. Nonintensive Management With implementation, livestock grazing on public 8 — ROYAL GORGE ENVIRONMENTAL STATEMENT lands would be reduced from 39,369 AUMs to 14,212 AUMs. That level of use would remain essentially constant over the long term (20 years). No increase in forage availability would be expected. A small increase (5 percent) in live vegetative cover would occur, from 22.5 to 23.2 percent cover. This small change combined with minor improvements in plant vigor, species composition, and production would not be sufficient to change trend of range condition. Net revenues to 21 large ranchers would decrease from an average of $34,449 to $27,470 per year per rancher while net revenues to 72 smaller ranchers would decrease from an average of $352 to a net operating loss of $3,785 per year per rancher over the long term. Long-term ranch labor losses would total 17.9 person-years. Total yearly property tax collections from all ranchers, large and small, would average $5,472 less per year over 20 years. Range improvements, limited to fencing of riparian areas to protect them from livestock, would cost $300,000. Riparian habitat on 50 miles of fenced stream would improve. Of 109 miles of stream in the EIS area, 13.4 miles would be in excellent condition (3.30 at present), 47.75 miles in good condition (46.25 at present), 40.6 miles in fair condition (46.6 at present), and 7.62 miles in poor condition (13.15 at present) after 20 years. There would be 1.5 miles of stream fisheries in an apparent upward trend (1.50 at present), and 62.75 in stable condition (51.50 at present). Consumptive use of water would decrease from 50 to 15 acre-feet. Peak flows from 10-year storms and volume of runoff from 10-year storms would both decrease by about 1 percent after 20 years. Sediment yield would gradually change; 9 percent less sediment would enter the Arkansas River after 20 years. Erosion would generally decrease, although present data does not permit projections of numbers of acres in different erosion classes (Table 2-5). Wildlife habitat in the EIS area would be largely unaffected by the management of rangelands. Improvement would occur on 4 percent of mule deer habitat, degradation on 1 percent. For elk habitat, 4 percent would be improved, none degraded; 2 percent of bighorn sheep habitat would be improved, none degraded. Available forage for big game on public lands would not be expected to increase beyond its present level of 11,189 AUMs. With improvement of wildlife and riparian habitat, hunting and fishing would be expected to improve (Table 2-5). An increase of 20 percent in recreation days for deer hunting, 8 percent for elk hunting, 45 percent for bighorn sheep hunting, and 4 percent for fishing would gradually be realized over the long term. Increases in recreation days would be accompanied by expenditures for goods and services, bringing more money into the local economy. The total increase for all recreational activities would average $305,543 per year over the long term. Damage to cultural resources would continue at its current rate, but cannot be quantified due to difficulties inherent in assessment. No sites would be destroyed because of range improvement projects because none are proposed. Issues To Be Resolved In the preparation plan for this EIS, several important issues were identified: (1) the suitability of livestock grazing in the EIS area because of its steep and rocky nature, (2) adverse economic impacts on ranchers wrought by changes in management of livestock operations in response to BLM planning decisions and the 1977–78 range survey, (3) the compatibility of livestock grazing with the RIPARIAN VEGETATION IS IMPORTANT FOR GOOD FISHERIES The health of riparian vegetation is important to the well being of the whole aquatic ecosystem. stabilize streambanks. gravel. cent to 40 percent. healthy. washed into the stream. result. bury their eggs. aeration, providing oxygen for fish eggs. When riparian areas lose vegetation, a lot more sediment enters streams. filled and sediment filters into riffle areas, smothering fish eggs and aquatic inver- tebrates. As the process continues, fish production decreases. When riparian areas are healthy, fish production can be two to three times greater than when they are un- Lack of vegetation makes riparian areas less able to absorb moisture. rains, runoff is not slowed down as it drains from the watershed and streams become shutes for water. The land is eroded away and habitat is destroyed. In the upper photograph banks are pocked with hoof marks and are bare. have grazed the vegetation away, banks have been trampled, and exposed soil has The stream has widened and become more shallow as a Both herbaceous and woody species grow there and help When livestock graze riparian areas heavily, vegetation loses vigor and becomes more sparse, exposing the soil. This loss of vegetation makes banks more suseptible to erosion. The situation is made worse by the continued presence of livestock, which trample banks, causing them to collapse into the stream. Lack of vegetation also eliminates shading along the stream. Cover is important for maintaining proper temperature for survival of the fishery. Cold water species, such as trout, cannot survive in water temperatures over 81 degrees F over a two-week period. Stabilization of banks is important because it maintains the pool/riffle ratio. The whole length of a stream is either pool or riffle. A pool is an area where there is slack water and depth is greater than average. Riffle is rapidly moving "white” water that is shallow and contains small diameter Fish feed on aquatic invertebrates and spawn there. Pools provide resting areas for fish. Riffle areas have good The ideal ratio of pool to riffle is 60 per- Pools are During heavy Cattle In the lower photograph vegetation is high and continuous to the water's edge. The bank is stable and the stream has undercut the bank (the darker area along the stream), providing shade, cooler water, and a pool for hiding. the stream there are shallower, faster running riffle areas where fish seek food and In the center of maintenance of viable riparian areas, (4) competition between livestock and wildlife resulting from the introduction of livestock into areas not previously grazed, (5) degradation of the wilderness Characteristics in areas where there would be improvement projects, and (6) overgrazing of certain areas because of trespass on remote small parcels of public lands intermingled with private lands. As the EIS developed, two of these issues came to the forefront as the most compelling—economic impacts on ranchers and impacts of livestock grazing on riparian areas. Economic impacts on ranchers were inevitable because of the livestock reduction called for in most of the alternatives. Grazing riparian areas developed as an issue because it conflicted with the MFP goal of maintaining or improving fisheries. A major problem in rangeland husbandry is appraisal of the forage resource and determination of the livestock grazing capacity of the land (Stoddart and Smith, 1955). BLM's 1977-78 range survey estimated current livestock grazing capacities of public land within the EIS area. This Survey is an estimate only and will be adjusted either upward or downward on the basis of actual use and utilization studies until a moderate level of grazing is reached. Stated another way, the goal of rangeland management in the Royal Gorge Resource Area is not to implement levels suggested by the survey to obtain optimum rangeland, but to implement a stocking level that would perpetuate the value of public rangelands on a sustained yield basis. To this end, the survey is the most current and best data BLM has and will be adjusted through on-the-ground studies and Consideration of needs of all resources. This environmental impact statement (EIS) is the result of a suit filed by environmental interests, usually referenced as Natural Resources Defense Council (NRDC) et al., in Federal Court in 1973, alleging that BLM's programmatic grazing EIS did not comply with the National Environmental Policy Act of 1969 (NEPA). Following a court decision largely in favor of the NRDC and subsequent agreements, BLM developed new Management Framework Plans (MFPs) for use of public lands in the Royal Gorge and Raton Basin Planning Areas. A table outlining recommendations made in these MFPs appears in Appendix A. Recommendations in these MFPs reflect policy goals expressed in the Federal Land Policy and Management Act (FLPMA) that the "national interest will be best realized if the public land and their resources are periodically and systematically inventoried and their present and future use is projected through a land use planning process . . .," that "the public lands be managed in a manner that protects the quality of the environment,” that "management be on the basis of multiple use and Livestock grazing in riparian areas is a perennial problem everywhere (Ames, 1977; Graul and Bissell, 1978). In the MFP, a decision was made not to permanently fence large areas of riparian habitat because initial and maintenance Costs would be prohibitive. A compromise solution was reached that would allow cattle to graze riparian areas but would maintain a high quality riparian habitat. The principal problem in the EIS area seems to be that cattle are interfering with the regeneration of woody riparian vegetation, which is maintaining the Current deteriorated State of fisheries. Areas where woody vegetation has already been established for some time can withstand moderate use by cattle and their associated fisheries can maintain themselves. To protect young regrowths of woody riparian vegetation, exclosures would be constructed in portions of deteriorated riparian areas as part of each allotment management plan. When the woody vegetation had grown to a point where livestock grazing at a moderate level could be tolerated, the exclosure would be moved to another location until that site had improved. This movement of exclosures would continue until all riparian areas would be self-sustaining. This type of woody riparian regeneration has not been widely documented in the literature but has been used successfully. Whether this system of regeneration would work in the EIS area, whether the woody vegetation could actually withstand livestock use after the exclosure is removed, and how long it would take an excluded area to recover, need yet to be resolved. CHAPTER 1 PURPOSE sustained yield ...," and that "public land be managed in a manner which recognizes the Nation's need for domestic Sources of mineral, feed, timber and fiber." Out of recommendations in these MFPs came several alternatives for grazing management which are described in this EIS. Of these alternatives, one is preferred, and is hereafter referred to as the "preferred alternative." This corresponds to the "proposed action" in past EISs. The change in terminology is a result of a new organization and structuring of environmental impact statements. The other alternatives are variously referred to as "alternatives", "other alternatives", or by descriptive names, e.g., "elimination of grazing", "nonintensive management", "management constraints alternative", etc. The Preferred Alternative is designed: 1. To improve livestock grazing habitat (soil, plant, and water requirements) on 589,675 acres of public land within a 20-year period; 2. To increase the vegetation production from a CHAPTER ONE – 9 Conclusion In terms of meeting the objectives indicated at the beginning of this summary, the Preferred Alternative is the most complete and balanced plan for rangeland management. Implementation would accomplish all eight of the listed objectives. The Management Constraints Alternative would accomplish all except that of providing additional livestock forage for stabilizing the local livestock industry. The other three alternatives fall far short. The No Action Alternative would not meet any of the eight objectives. The Elimination of Grazing Alternative would meet only the objectives of aquatic habitat improvement, reduction of erosion, and increased recreational use. The Nonintensive Management alternative would provide only aquatic habitat improvement, increased recreational opportunities, and livestock forage on a sustained yield basis to 250 management units. A brief synopsis of the tradeoffs and complementary recommendations for the Preferred Alternative appears in Appendix A. In Chapter 2, the Preferred Alternative is described in detail along with differences between it and other alternatives. Chapter 3 describes the affected environment of this EIS area and Chapter 4 presents impacts. To avoid repetition, a full analysis of impacts appears only in the Preferred Alternative and brief summary descriptions of impacts are presented for the other alternatives. Whichever alternative is selected, some details Of the action will change and evolve to accommodate the listed objectives in the light of new data, unexpected changes in resource condition, and changes in public demand on a resource until on-the-ground implementation is complete. The basic objective of BLM is a balanced program in the spirit of multiple use. proposed level of 14,212 livestock animal unit months (AUMs) after implementation of the Preferred Alternative to 20,763 AUMs in 20 years; 3. To provide livestock forage on a sustained yield basis to 278 grazing management units on public lands in the Royal Gorge Planning Area, insuring that 7, 181 AUMs are available for immediate and future use; 4. To increase stream channel stability on approximately 75 miles of 33 streams and thus improve fish habitat; 5. To reduce erosion rates on 546,820 acres to enhance watershed COnditions; 6. To enhance recreational values by increasing wildife numbers and, ultimately, hunting and fishing success and wildife viewing opportunities as well as improving aesthetic and visual qualities of the area; 7. To provide access facilities that will allow the general public full use of areas which is permitted by existing law and regulations; and 8. To provide 14,134 AUMs of forage on 77 intensive management units for wildlife to maintain the desired wildlife populations. 10 – ROYAL GORGE ENVIRONMENTAL STATEMENT CHAPTER 2 DESCRIPTION OF THE ALTERNATIVES INTRODUCTION Following is a description of the five alternatives for grazing management in the EIS area. The Preferred Alternative, in previous EISs referred to as the Proposed Action, is described first. This is followed by four alternatives, which include a wide range of possible grazing management alternatives. These alternatives are No Action (continuation of present grazing management), Elimination of Grazing, Management Constraints, and Non intensive Management. The first two of these represent ends of the spectrum, from essentially no management (allowing present use levels), to total control (elimination of all grazing on public lands). The Management Constraints Alternative represents an intermediate level of management between the Preferred Alternative and Elimination of Grazing. The Nonintensive Management Alternative is a minimal management level. The Preferred Alternative results from the Royal Gorge and Raton Basin Management Framework Plans (MFPs). Specific allotment management plans (AMPs) were not developed, but a rest standard for rangeland vegetation was proposed on which all future AMPs would be based. Because this EIS is based on the BLM Management Framework Plans and not an AMP program, the Preferred Alternative is somewhat more broadly stated than in previous grazing EISs that were based on AMPS. PREFERRED ALTERNATIVE (INTENSIVE MANAGEMENT) The Preferred Alternative was developed to benefit livestock production on public lands by adjusting the manner, amount, and timing of grazing. These adjustments would benefit desirable forage species of rangeland plants by giving them a "rest" from grazing. During this rest they would be able to complete their physiological growth requirements and gain in vigor and relative abundance. A recent BLM range survey (1977–78) determined the current condition of range forage plants in the EIS area and their physiological needs for reversal of the current downward trend in their condition. These requirements are reflected in the proposed adjustments of livestock use on public rangelands. The proposed adjustments under the Preferred Alternative would also benefit wildlife habitat, fisheries production, and to a lesser extent recreation. For example, livestock grazing would be restricted on some management units to summer, fall, and winter because spring grazing is detrimental to wildlife, especially big game. In spring, the forage needs of wildlife coincide with those of livestock. At other times of the year, moderate livestock grazing improves forage species consumed by wildlife and adjustments would be made accordingly. BLM would place study exclosures to preclude livestock use along certain streams in the EIS area to establish the impact of grazing in riparian areas, ultimately adjusting use to benefit fisheries. LiveStock would be eliminated from places designated as valuable for development of recreational facilities such as campgrounds and picnic 3 ſea S. In the final analysis, the Preferred Alternative would benefit mainly vegetation, livestock, and wildlife both in the short and long term. This involves a complex compromise balancing the conflicting needs of all three resources and would be achieved principally through the coordinated use of two methods. First, period of livestock use would be adjusted to allow proper rest for and regeneration of desirable forage species. Secondly, utilization would be limited to a moderate level, on the average about 50 percent, although this average would be achieved by varying utilization of key species from 40 to 60 percent in Selected areas. The upper limit of 60 percent utilization on public lands would actually include the combined use of livestock and wildlife. For the purposes of this EIS, all vegetation was allocated to livestock, but it was assumed that some of this would be used by wildlife. How much is not known. Present data from the Colorado Division of Wildlife (DOW) is insufficient to project how much forage wildlife, especially big game, WOUld COnSU me. With implementation of the Preferred Alternative, actual livestock consumption would be monitored. The upper limit placed on utilization on public rangelands would, therefore, help determine the actual vegetative needs of wildlife. Competition between big game and livestock is most severe early in the growing season of forage species—spring and early summer. During this time, they consume the same vegetative species. Through adjustments in livestock period of use and livestock stocking rates, these vegetative species would be expected to increase in vigor and relative abundance (hereafter referred to a "percent composition" relative to total vegetative cover). Wildlife needs would be met and the condition of rangelands would improve. The needs of livestock would be met for the time being with minimal economic pressure on operators. More importantly, a gradual improvement in rangelands for the future would be insured. The principal beneficiary of improved range would be livestock. As vegetative production on public lands increases, it would be allocated entirely to livestock to the limit of each operator's original qualifications (the level of his present grazing privileges). Thereafter, vegetation would be allocated to both livestock and wildlife on the basis of priorities established in future MFPS. According to recommendations in current MFPs, 100 grazing units totaling 379,380 acres (64 percent of public land in the EIS area) would be combined to form 77 units and these WOuld receive intensive management (Table 2-1). Range improvements proposed for implementing intensive management are listed on Table 2–2 by management alternative. Specifications, exact locations, type, and general maintenance requirements for each development are detailed in the 1979 Royal Gorge MFP, which is available for review at the BLM Canon City District Office. Grazing Treatments A "grazing treatment" is the management of livestock use to achieve a certain quality and quantity of vegetative production on rangelands. Grazing treatments would allow range plants a period free from livestock grazing during the growing season. According to MFP recommendations, the minimum rest standard is 1 year of grazing during the growing season followed by 2 years of rest during the growing season. If livestock are grazed during the nongrowing time of year, rest would not be required during the subsequent growing season. Such treatments can be expected to improve forage production by changing botanical composition, increasing plant vigor, stimulating plant growth and reproduction (through seed dissemination and seedling establishment), and allowing litter accumulation for protection of the soil surface. Livestock production and performance would be improved without range deterioration (Stoddart et al., 1975). Key Species and Rest Treatment Grazing treatments developed for the 77 units proposed for intensive management are designed to provide a rest standard based on four key species of forage plants, one or more of which are found in each unit. Key species serve as an indicator of changes occurring in the vegetational complex (Stoddart et al., 1975). The species of grass selected as key species are mountain muhly, Arizona fescue, needle-and-thread, and Indian ricegrass. These plants are widespread but not common, intolerant of excessive grazing pressure, and highly palatable to livestock. By using grazing treatments that meet the physiological requirements of these species, it is assumed that the requirements of other important grasses, forbs, and browse can also be met. D M v / { ſº tº 4% * { * F. W ... " f.s . " W \f t p\\ /. © ºf * ... a = 4 # r e * 6 : * { \ f * * y º /// ſ * A tº / "pºſſ, ºf"/". G ' ', |NDIAN RICE GRASS (Oryzopsis hymenoides) TABLE 2-1 SUMMARY OF THE PREFERRED ALTERNATIVE CHAPTER TWO – 11 Proposed Present Proposed Level of Level of Level Of Land Number Livestock Livestock Percent Wildlife Treatments Management Status Of Units Acres Use Use Adjustment Use (Acres) Facilities Unallotted 13 20,395 0 AUMS 387 AUMS – 100 None Fence 39.70 Miles Nonintensive 278 189,900 7,181 AUMS 15,434 AUMs — 53 None None Intensive 77 379,380 7,031 AUMs 23,548 AUMs — 70 11, 189 AUMS Thin Springs 18,530 67 Burn Water Catchments 4,900 28 Plow Reservoirs 200 9 Fence 40.45 Miles Water Pipeline 3.3 Miles Water Troughs 4 Cattleguards 4 Wells 2 Water Storage Tank 1 Total 368 589,675 14,212 AUMs 39,369 AUMs – 64 11,189 AUMs Thin Springs 18,530 67 Burn Water Catchements 4,900 28 Plow Reservoirs 200 9 Fence 80.1 Miles Water Pipeline 3.3 Miles Water Troughs 4 Cattleguards 4 Wells 2 Water Storage Tank 1 12 – ROYAL GORGE ENVIRONMENTAL STATEMENT TABLE 2-2 A SUMMARY OF THE LEVEL OF USE AND REOUIRED DEVELOPMENTS FOR THE PREFERRED AND THE OTHER ALTERNATIVES No Action Nointensive Preferred? Management' (Present Situation) Elimination (No AMPs) Alternative Constraints Initial Level of Use (AUMs) 39,369 O 14,212 14,212 10,413 Increase Level of Use 20 Years (AUMs) O O O 6,551 2,872 Number of Units with Intensive Management 1 O 1 77 27 Units with Nonintensive Management 470 O 354 278 278 Units with No Grazing 5 368 13 13 63 Miles of Pipeline Required O O O 3.3 O Number of Storage Tanks O O O 1 O Number of Reservoirs Required O O O 9 3 Number of Water Troughs O 0 O 4 O Number of Spring Developments” O O O 67 22 Rainfall Catchments? O O O 28 10 Number of Wells O O O 2 O Number of Cattleguards O O O 4 2 Miles of New Fencing? O 6-10,000 100 80 1-2,000 Acres of Brushland Plowing O O O 200 100 Acres of Prescribed Burning O O O 4,900 3,160 Acres of Selective Thinning O O O 18,530 4,000 'Intensive Management Units in this proposal are 12, 23, 58,61, 75, 95, 97, 126, 133, 139, 140, 142, 150, 170, 173, 193, 194, 197, 198, 199,200, 202,204, 217,224, 230,231 *See Appendix B for specific management units. *As AMPS are developed in the Preferred Alternative it is estimated that an additional 100 water developments and 71 miles of fence, not shown in this table, would be required. l % 'ſ /4. º' MOUNTAIN MUHLY | }\, , (Muhlenbergia montana) On units with woody riparian species, critical stands of big game browse, or young reproducing aspen stands, management would be based on their needs. If a unit has more than one key species and rest requirements for them are different but overlapping, the rest standard would be adapted to accommodate both, from the beginning of one to the end of the other. In unique areas, additional plants would be used as a basis of management. Key species and their rest requirements are indicated in Table 2-3. Facilities and Land Treatments Construction of management facilities would be required for the implementation of grazing treatments. Facilities include springs, pipelines, storage tanks, earthen reservoirs, water troughs, cattle guards, catchments, wells, and new fencing. Realizing the full forage potential of a management unit might require one or more land treatments, (Arnold et al., 1964), such as brushland plowing, prescribed burning, and selective thinning of trees. All facilities are designed by the BLM district engineers on a site-specific basis but are standard in design throughout BLM. Details of construction may be reviewed in the BLM Canon City District Office. Facilities required for implementation of all alternatives are shown in Table 2-2. Site-specific management facilities would be detailed in AMPs that would be developed. Fencing that was recommended in the MFP grazing unit border fence which would prevent trespass by livestock from adjacent land. An estimated 71 miles of additional fence would be required to set up pastures within 16 management units. Spring developments proposed in the MFPs were only those that are known. Additional springs undoubtedly exist and would be developed. An estimated 100 additional water sources (predominately springs and a few catchments) would be proposed in AMPs. Study exclosures to preclude livestock from grazing would be constructed in major riparian areas that are in poor or fair condition. The number, size, and exact location of these exclosures would be determined as AMPs are developed. Exclosures would help to determine recovery rates of woody riparian Species and serve as nurseries for the surrounding area. Once woody riparian vegetation would become established enough so that livestock grazing could not damage it severely, the exclosure would be moved to another location. Studies in Utah (Kimbal and Savage, 1977) have shown that this requires about 4 years. NEEDLE AND TH READ S(Stipa comata) Land treatments proposed on behalf of grazing management would be generally supportive of other resource recommendations in the Same area. Facility and Treatment Design Features Design features for construction of proposed range developments are as follows: 1. Roads or trails would be constructed only where existing roads and trails could not be used (BLM policy). 2. Archaeological clearance would be required for each project site before construction (BLM policy; National Historic Preservation Act of 1966; National Environmental Policy Act of 1969; Executive Order 115983; 36 CFR 800). 3. Threatened or endangered species survey and clearance would be required for each project site before construction (Endangered Species Act and BLM Manual Section 6840. 4. Disturbance of soil and vegetation at all project sites would be held to an absolute minimum (BLM policy, BLM Manual Section 8400). 5. Areas where the Soils would be disturbed would be restored to blend into the surrounding topography (BLM policy, BLM Manual Section 8400). 6. Visual resources contrast ratings would be completed in the survey and design stage of all proposed developments (BLM policy; BLM Manual Section 8400), and appropriate mitigating measures would be implemented to meet the Visual Resource Management (VRM) objectives. 7. All water storage tanks would be buried when feasible. 8. The watershed specialist would be consulted for onsite investigations to determine areas of least impact. Areas of greatest impact could be avoided, e.g., steep slopes and areas in the critical and severe erosion condition classes. Soil maps, when available, would be used in making selections. 9. All fences would be constructed according to BLM Manual Section 1737. 10. Water would be provided in rested pastures for wildlife use where feasible (BLM policy). 11. All prescribed burning would be written as part of the AMP; guidelines for smoke dispersal would accommodate air quality standards for the particular a ſea. %2 ARIZONA FESC, IE aſºvº's (Festuca arizonica) 7. 12. Facilities constructed in a wilderness study area would not impair the area's suitability for wilderness designation. 13. Before construction of any facility, BLM would prepare a site-specific environmental assessment to analyze impacts. Maintenance of range developments on public lands is subject to policy in BLM Manual Section 7120. Fences and cattle guards built primarily for livestock management would be maintained by allottees under agreements complying with BLM guidelines. BLM would maintain all BLM-owned water developments on public land. TABLE 2-3 CHAPTER TWO – 13 Allottees' obligations would be limited to periodic inspections and reporting of damage or malfunction. The inspection and maintenance schedule would be met subject to budget constraints. The schedule is: fences and cattle guards, 5 years; earthen reservoirs, 3 years; springs, well facilities, pipelines, and wildlife water areas, annually. Adjustments in the maintenance schedule would be made as appropriate. Adjustments in Grazing Use and Proposed Utilization Level Range surveys were completed on 209,862 acres (36 percent of all public lands) in 92 management units by the ocular reconnaissance method which is briefly described in Appendix B. These surveyed management units varied in size from 36 acres to 52,229 acres and in livestock grazing qualifications from 6 to 2,601 animal units months (AUMs). Most of these management units were selected for survey because of the large amount of public land within their boundaries (at least 30 percent) and a relatively large number of AUMs. Some small units were selected because they could be easily surveyed and were adjacent to larger units. The range Survey, along with suitability studies in 1975 and 1976, indicated that the surveyed area was Overstocked. Results of the studies are on file at the Royal Gorge Resource Area office in Canon City and Summarized in Table 2-4. The 278 management units in the EIS area not selected for intensive survey by ocular reconnaissance were less intensively surveyed by mapping vegetative type, condition, and apparent trend. This enabled a comparison between the two kinds of Surveyed units. Average forage production on intensively surveyed units was used to estimate production on those less intensively surveyed. Plans for grazing management have allocated 14,212 AUMS for livestock use, of which 7,031 AUMS are found on intensively surveyed areas and 7, 181 AUMS in less intensively surveyed areas. Allocation of vegetation to livestock by unit is shown in Appendix B. This stocking level would allow for 40-60 percent (moderate) utilization of usable vegetation in each management unit. KEY SPECIES, UTILIZATION, AND THEIR REST REQUIREMENTS Percent Percent Utilization Utilization Tolerable In Tolerable in Grazed Pastures' Crucial Grazed Pastures? Crucial Species (Under Management) Rest Period (Under Management) Rest Period Arizona fescue 80 4–25 through 8-25 50 None Festuca arizonica 2 years in 3 Mountain muhly 75 5–5 through 9-15 40 NOne Muhlenburgia montana 2 years in 3 Indian ricegrass 75 4-20 through 7-5 40 None Oryzopsis hymenoides 2 years in 3 Needle-and-thread 70 4-20 through 7-10 30 None Stipa comata 2 years in 3 "Type of grazing would be high intensity, low frequency. These are maximum levels of utilization allowable on an area in good or excellent condition. These levels would be lower on areas in poor or fair condition, and in years of below normal precipitation. Period of use would also change allowable utilization levels. Heavy utilization (60-80%) can be tolerated by plants if given 2 years rest following the growing season (Hyde, et al., 1979). 2Type of grazing would be yearlong. Grazing cannot exceed moderate use (50%) if pastures are used every year during the growing season. 14 – ROYAL GORGE ENVIRONMENTAL STATEMENT erosion. wildlife or watershed. one pictured is too small. STUDIES ARE PART OF RANGE MANAGEMENT Study exclosures are important for monitoring rangeland improvement. These areas are removed from cattle grazing to improve comparisons with grazed lands. They are placed in key areas, usually areas which are susceptible to heavy livestock use or are critical to Exclosures allow resource specialists to monitor only those elements which are pertinent to judging range condition - plant vigor, production, per- cent composition of desirable species, litter accumulation, and soils susceptibility to Existing study exclosures are too small, too few, or too infrequently monitored. The Exclosures should be large enough (an acre) to buffer the effects of grazing around it. They should be monitored regularly to obtain results and to maintain proper experimental controls. SUMMARIZED RESULTS OF ROYAL GORGE RANGE INVENTORY 1977-78 TABLE 2-4 Percent Number Present Use Proposed Use Adjustment of Units (AUMs) (AUMs) + 3 to +274 3 340 235 0 to — 10 2 345 319 – 11 to – 20 2 183 148 –21 to — 30 O - - –31 to - 40 3 308 206 –41 to — 50 7 1,950 1,084 —51 to – 60 8 1,669 769 –61 to - 70 12 6,867 2,511 –71 to - 80 12 3,157 749 –81 to — 90 21 5,332 760 –91 to -100 13 3,784 250 83. 23,548 7,0312 There were 92 allotments surveyed and combined into 83 management units. 2The percent reduction was calculated by subtracting proposed use from present use and dividing by present use: (23,548 - 7,031) divided by 23,548. The present grazing use by livestock on intensively surveyed public lands is 23,548 AUMs, an average of 70 percent overuse. Recommended changes for 80 of these units ranged from no change to 100 percent reduction. Three management units showed potential for increases in grazing use. There are 15,434 AUMS being grazed on management units that received a less intensive survey. Reductions were made on the basis of average existing forage production (See Appendix B for methodology) so that AUM levels would reflect more closely how much grazing can actually occur. Recommended changes for the 278 less intensively surveyed units range from no change to 96 percent reduction. Under the Preferred Alternative, adjustments would be initiated during the first grazing year (March 1, 1981) following completion of the final EIS, in October 1980. Livestock operators would have up to 3 years to adjust their ranching operations to accommodate the survey level stocking rate. Adjustments of at least 20 percent in any one year would be required (e.g. 20-30-50, 40–20–40, 20-40-40, or some other combination for the respective 3-year adjustments). This would be responsive not only to the needs of the operator but to the needs of the rangeland resource. Apportionment of predicted vegetative increases above livestock operator qualifications must be done through the BLM planning system. Projected increases in vegetation would be distributed through guidelines set during the next update of Management Framework Plans (MFPs) for the Royal Gorge and Raton Basin Planning Areas. Distribution of increases in vegetative production would reflect the needs of all resources (e.g., watershed, wildlife, recreation, etc.). Benefit/Cost Analysis As grazing systems and range improvements are developed for management units, an analyis of those developments would be made for each unit to examine their economic viability. Nonintensive Management Units Nonintensive grazing management is proposed for 278 units on 189,900 acres (33 percent of public land in the EIS area). These units are small scattered tracts of public land in areas largely privately owned, containing a small number of AUMs relative to surrounding private land with little or no value for resource uses other than grazing. Grazing on these public lands would be reduced an average of 53 percent (7,181 AUMs remaining). Most of this public land is in poor condition. Reductions would be made to more accurately reflect real carrying capacity. New allocations would also be made. Of 278 units proposed for nonintensive management, 59 (29,610 acres, 667 AUMS) would be allocated on demand. On lands that would be managed nonintensively, grazing permits would be issued specifying the period of use, kind and number of livestock, and any other necessary stipulations. No range improvements and no management objectives other than improvement or maintenance of desirable range conditions have been proposed. Elimination of Grazing Units Livestock grazing would be eliminated on eight units totaling 7,465 acres (1 percent of the public land in the EIS area) (Table 2-1). Six of these units have insufficient forage for livestock grazing; one is within a reservoir and one is a vegetatively unique area on THE MOSOUITO PASS AREA HAS NEVER BEEN GRAZED The Mosquito Pass area is one of the few Alpine grasslands on BLM-administered land. Because of its fragile nature, great scenic beauty, and general ruggedness and remote- ess, resource specialists have recommended it never be grazed. Sommerville Table. Grazing would be eliminated on portions of eight other units (1,190 acres, 66 AUMs) because of conflicts between nonintensive range management and use of other resources. To ensure that these 16 units would not be grazed, 39.7 miles of fence would be constructed. Unallotted Units Five units (12,930 acres, 2 percent of the EIS area) composed of Small, scattered tracts of public land are unsuitable for grazing and have never been allotted (Table 2-1). These units would remain unallotted. Monitoring, Evaluation, and Adjustment Specific objectives would be formulated for each unit and set forth in individual Allotment Management Plans (AMPs). Progress toward these objectives would be periodically checked through vegetation studies, which would be conducted on each unit and intensively documented. Monitoring Actual utilization of the current annual years growth (expressed as percent) by livestock and wildlife would be monitored by BLM. In addition, livestock Operators would be required to furnish actual use data, i.e., exact numbers of livestock and amount of time spent on each management unit. Together these data would be used to extrapolate the amount of vegetation actually available as forage for livestock and wildlife. Long-term trend would be observed by the use of permanent plots, transects, exclosures, and photo points, which would enable a comparison of various factors of range condition at two points in time. These study areas could be read and photographed at regular intervals. To make meaningful evaluations of range trend, more data is needed on localized climate. Fluctuations in climate tend to "mask" or bias data on changes in rangeland condition. To overcome this deficiency, an extensive system of weather stations would be maintained by BLM through contracts or cooperative agreements with local residents. Remote sensing techniques would be used to observe the trend of range and related resources as expertise becomes available. For example, low level, color infra-red aerial photography would be used to monitor riparian vegetation. Evaluation Each unit under intensive management would be periodically checked for progress toward objectives set forth in its management plan and evaluated according to a predetermined schedule. For instance, a three-pasture rotation system would be evaluated after each grazing cycle—every 3 years. Units being grazed seasonally would be evaluated on the average of every 4 years. Some could be evaluated more often if they contain a sensitive feature such as a critical erosion hazard or critical wildlife habitat. The evaluation Schedule would be carried out subject to certain limitations, principally budget and personnel. As part of the evaluation of AMPs, CHAPTER TWO – 15 competition between big game and livestock for forage would be assessed. Currently, no data exists to evaluate how much competition is taking place. Adjustments of grazing treatments and livestock numbers could result from this assessment. These studies would most likely take place on units where grazing conflicts occur, for example, on units with spring grazing and/or riparian habitat. Fecal analysis may be used to assess conflict. Adjustment Level of use may be adjusted annually. Utilization of the current annual growth would be checked at the end of grazing periods, taking into account actual use records provided by the livestock operator. Use levels for the next season would be adjusted to fall within the moderate-use range (40-60 percent). In certain cases, operators may request additional use if production exceeds that of the previous year. Requests for additional use would be approached on a case-by-case basis and temporary, nonrenewable use could be granted. If actual utilization is consistently below the moderate range by at least 10 percent for 3 years after livestock reductions are fully implemented and the unit exhibits an upward trend, a permanent upward adjustment could be made. Implementation The decision to adopt the preferred or one of the other alternatives would be made on the basis of the final EIS, scheduled to be completed by September 30, 1980. Whatever program is adopted, it would be implemented after issuance of the Range Management Program Decision Document, probably late in 1980. Certain phases, such as monitoring studies, would begin before final approval of the EIS and issuance of the program document. The grazing program itself would be implemented before the 1981 grazing season. Allotment Management Plans (AMPs) would be formulated jointly by BLM and the livestock operators. In 1981 and 1982, 77 AMPs would be written (see Appendix Table B-4 for implementation schedule). Period of use on 42 units would be adjusted to accommodate implementation of the grazing program. Range improvements needed on these allotments would also be carried out according to standard BLM work plan procedures. These improvements would be constructed as funding becomes available. Full grazing systems would be implemented to accommodate present period of use on 35 units and improvements would be constructed as funding becomes available. Full implementation would be achieved by September 30, 1986. Implementing allotment management plans and grazing systems would not be contingent upon carrying out land treatments (thinning, burning, plowing, etc.). They would be scheduled as the AMPs are formulated. Periodic maintenance would be scheduled as needed. The one currently active AMP would be revised and its level of use adjusted. Each range user would be issued term permits through the Royal Gorge Resource Area office. These would specify use area, period of use, numbers, and kind of livestock. Livestock grazing would be supervised throughout the year. Requests by livestock operators for changes in use outside the limits of the action being implemented must be consistent with management objectives, requested in writing, and approved in advance of the grazing period. Without prior authorization, such use would be considered trespass and appropriate action would be taken in accordance with regulations in 43 CFR 4150. 16 — ROYAL GORGE ENVIRONMENTAL STATEMENT Livestock may be marked (preferably by ear tagging) to aid in the detection of trespass in certain area.S. NO ACTION ALTERNATIVE (CONTINUATION OF PRESENT GRAZING MANAGEMENT) Livestock use would remain at the present level of 39,369 AUMs. No new range improvements would be constructed, but existing ones would be maintained. The one existing AMP in the EIS area would continue operation with no revisions. Of the remaining 367 units, 5 would be unallotted and 362 units would be nonintensively managed. On nonintensive units, kinds of livestock, period of use, and livestock numbers would be specified. Existing improvements would be maintained. BLM would not build any new improvements for livestock, but operator-built improvements would be allowed under cooperative agreement or permit on a case-by-case basis. Trespass control would take place on all allotments. Manpower and funding would remain at their present levels. ELIMINATION OF GRAZING ALTERNATIVE All grazing on public lands in the Royal Gorge and Raton Basin Planning Areas would cease. No grazing authorizations would be issued and no AMPS would be developed. All existing forage would be allocated to wildlife, watershed, and other uses. To insure elimination of grazing on public lands interspersed among state and private lands, an estimated 6,000 to 10,000 miles of fence would have to be built. No new improvements for livestock would be built on public lands. Existing improvements would be maintained by BLM only if required for other resource uses and would otherwise be removed. The rangeland management program for this resource area would be limited to trespass detection and processing of trespass cases. MANAGEMENT CONSTRAINTS ALTERNATIVE This alternative was designed to achieve the greatest benefit for big game and fisheries habitat and deteriorated watershed. Currently watershed in the EIS area has a plant community with relatively low diversity and ecological stability. Wildlife, fisheries, and watershed specialists have identified 50 management units on which these deteriorated conditions exist, recommending that grazing be eliminated until their condition has become acceptable. Intensive livestock management would occur on 27 units, nonintensive management on 278 units, and no grazing on 63 units (Table 2-2). Descriptions of intensive and nonintensive types of management appear in the Preferred Alternative. Instead of 39,369 AUMs presently grazed, 10,413 AUMs would be allocated to livestock. NONINTENSIVE MANAGEMENT ALTERNATIVE Stocking on 355 management units would be reduced to the moderate-use levels proposed under the Preferred Alternative. The kinds of livestock, a year around period of use, and livestock numbers would be specified. In contrast to the Preferred Alternative, no rest standard for rangeland forage plants would be implemented and thus no AMPs would be written. Existing improvements would be maintained. BLM would not build any new improvements, but operator- built improvements would be allowed under cooperative agreement or permit on a case-by-case basis. Approximately 50 miles of critical riparian habitat would require fencing to prevent further deterioration and improve habitat. Management units that are currently unallotted would be available for grazing upon demand. The rangeland management program would be reduced from its present level to issuing periodic use authorizations, detecting trespass, processing trespass cases, and minimally monitoring range condition and trend. ALTERNATIVES DROPPED FROM CONSIDERATION According to BLM's 1977-78 range survey and a number of watershed, fisheries, and wildlife Specialists, current grazing pressure (demand) far exceeds forage production. Any alternative that would stock management units above moderate-use levels proposed under the Preferred Alternative was dropped. Consideration of the No Action Alternative is, however, mandated in all environmental analyses. IMPACT SUMMARY A table summarizing impacts of the alternatives appears at the end of this chapter (Table 2-5). Resources which could be directly impacted by the selection of any one of the alternatives include vegetation, livestock, economic and social values, wildlife habitat, fisheries habitat, and watershed (hydrology and soils). Recreation and visual resources would experience secondary impacts as wildlife numbers increase, fisheries become more productive, or watershed conditions stabilize or improve. Impacts on air quality by any of the alternatives would be minor and of short duration. Impacts on forestry would be noticeable in 50 to 100 years. There probably would be no impacts on geology, known historic sites, lands, or wilderness study areas. Selection of the No Action Alternative would produce no short-term adverse impacts. Rapid changes in wildlife habitat, fisheries, and watershed condition (soil and water) did occur over 100 years ago and finally stabilized 40 to 60 years ago. Since then changes have been slow and grazing pressure has remained constant. There would be no long-term benefits from this proposal. A small decline in gain per livestock animal would result as forage quality and quantity would decline. As production per animal decreases economic return would also diminish. Selection of the Elimination of Grazing Alternative would improve 45.4 miles of fisheries habitat and watershed to near pristine conditions in the long term. In the short term wildlife habitat would rapidly improve (3 to 5 years), then stabilize at a level below optimum unless vegetation manipulation practices such as fire or brush cutting occurred regularly. Sediment yield on public land would be reduced 65 percent. With improvement in other resources, recreational use of public lands would increase by an estimated 13,770 days. Impacts on income would be insignificant because ranch income as a component of regional income is quite small. A few individual ranchers would suffer economic hardship, however, being forced to make major changes or sell their ranches. Up to 10,000 miles of fencing would be required to keep livestock off public lands, resulting in significant improvement of fisheries, wildlife habitat, and watershed conditions in the long term. As fencing is constructed, 10,000 acres of vegetation would be disturbed but loss of topsoil would be insignificant. Some wildlife would be lost due to entrapment in fences. The Nonintensive Alternative would improve 11.25 miles of fisheries to good or excellent condition on streams impacted by livestock. Wildlife habitat, principally mule deer (18,238 acres) but also elk and bighorn sheep habitat, would improve. Economic impacts would be insignificant. Benefits would accrue to 50 miles of fenced riparian areas and a reduced but unknown level of competition for forage between livestock and wildlife would result on all grazed units. In the long term, all resources on public land including livestock grazing would benefit from the Preferred Alternative. Wildlife habitat and watershed conditions would significantly improve on 77 intensively managed units in the long term. Fisheries habitat would improve on 3.5 miles of stream while 50 miles remain in good to excellent condition. There would be 46 miles of riparian habitat on which the trend would change from declining to stable or improving condition. Secondary benefits would accrue to recreation and visual resources. An additional 2,460 recreation days of hunting and fishing would result from improved habitat. There would be slight decreases in 10-year storm runoff and peak flow (3 percent each) and soil loss due to erosion (25 percent). Water quality would improve slightly. Some negative economic impacts would be felt. A few individual ranchers would be forced to make major changes or sell their ranches, but fewer than under the Elimination of Grazing Alternative. The Management Constraints Alternative would result in economic impacts very similar to those under Elimination of Grazing. In addition, it would not meet livestock production goals identified in the Management Framework Plan. Beneficial impacts would be expected in wildlife habitat, fisheries, and watershed condition. Wildlife and watershed conditions could improve most rapidly where overgrazing has taken place. Secondary beneficial impacts would be expected in recreation and visual resources. An additional 9,005 recreation days would result from improved wildlife and fisheries habitat. INTERRELATIONSHIPS The preferred and other alternatives are an outgrowth of BLM's planning process, whose principal purpose is to develop plans for the management of public lands. These plans reflect priorities established through several contacts with the public and other interested parties and in consultation with BLM resource specialists. According to Federal policy, the following resource values receive consideration: vegetation, watershed, wildlife, aduatic resources, wild horses, recreation (including visual resources), wilderness, cultural resources, and livestock. Details on the multiple use planning system of BLM may be obtained at the BLM Canon City District Office and the Royal Gorge Resource Area Office and in BLM Manuals Sections 1601 through 1608. The planning process begins with an inventory of basic resources which are analyzed in the Unit Resource Analysis (URA) and progresses through a series of recommendations and management decisions described in a Management Framework Plan (MFP). Basic resource data are contained in the Raton Basin URA, 1978, and the Royal Gorge URA, 1979. Recommendations and management decisions are contained in the Royal Gorge MFP, 1979, and in the Raton Basin MFP, 1978. These documents may be reviewed at the Royal Gorge Resource Area Office or the Canon City District Office. The livestock portions of these MFPs are summarized in Appendix A. The MFPs provide guidance for development of on-the-ground action plans-known as Activity Plans- for specific public resources (e.g., watershed, wildlife, etc.). The Decision to Graze Grazing of livestock on public land has taken place for over 120 years and potential of the land to support this use is evident. The BLM range survey indicates there are at least 7,000 AUMs of usable livestock forage produced every year on units proposed for intensive management. Grazing is the only practical way to harvest them. However, public land has been in the past and continues to be grazed beyond its grazing capacity on a sustained yield basis. Part of the decision to allow continued cattle grazing on public land was based on studies which show that livestock grazing improves the quality and quantity of forage consumed by wildlife (Stoddart et al., 1975). This conclusion has been borne out in the EIS area. Heavy use by livestock has resulted in present day mule deer habitat which has an abundance of browse where normally too little browse would occur (Leopold, 1950; by Stoddart et al., 1975). Heavy use has, however, reduced the amount of spring forage available to mule deer. The Preferred Alternative would reserve this forage for deer annually or on a rotating basis while maintaining livestock use at other times to keep browse stands in excellent condition. The decision to graze was also influenced by public input. The majority opinion of those in the EIS area attending the planning meetings was that ranchers should be allowed to continue to graze livestock on public lands. Determination of Management Level Management level in the Preferred Alternative was determined by a number of factors. Units containing at least 30 percent public land were considered amenable to intensive management. Units having critical big game habitat and deteriorating watershed and at least 20 percent public land within their boundaries were also considered amenable. Implementing intensive management in areas with only a small percentage of public land was not considered feasible. Five of the 77 units indicated for intensive management were included principally because such management would benefit wildlife. Unallotted management was proposed for portions of eight units identified as valuable for development of recreational facilities. Determination of Stocking Level The 1977-78 BLM range survey provides the best estimate of current forage production available for use by domestic livestock on public lands. Most wildlife needs are apparently being met on lands other than those administered by BLM or on lands unsuitable for livestock grazing. This is evidenced by the generally good condition of wildlife habitat on public lands. There is currently a lack of spring forage for wildlife in the EIS area, which under the Preferred Alternative would be corrected by changing the period of use on 42 units from spring to late summer, fall, or winter. The proposed rest standard would aid in increasing desirable grass species and fulfilling both livestock and wildlife needs. No allocation of forage was made to wildlife on nonintensively managed units because of two factors—land ownership patterns and big game mobility. Most of these units are very small and scattered among large blocks of private land. Big game are extremely mobile and therefore have a wide range of possible habitat. Thus it was assumed that if the range were stocked with livestock at a moderate rate big game could satisfy their forage requirments. Rationale for Range Improvements Land treatments and construction of rangeland facilities were designed to improve forage production and distribution of livestock on public land (away from overgrazed areas to lightly used areas). Proposed rangeland facilities are mainly water sources, which would improve livestock distribution as well as providing water for wildlife. Land treatments were designed to return the rangeland to a state of disclimax instead of climax. As rangeland approaches its climax, its productivity of vegetation usable by livestock and wildlife diminishes (Komarek, 1963). Much of the EIS area is now at climax because man has eliminated wildfires, which maintain a state of disclimax (Burkhardt and Tisdale, 1976). The proposed treatments are designed to replace wildfires with the cutting and thinning of conifers and some controlled burns of brush. State and Private Land BLM management plans must take into account resources available on state and private lands intermingled with public lands. Section 402 of the Federal Land Policy and Management Act of 1976 states in part: "Allotment Management Plans shall not refer to livestock operations or range improvements on non-Federal lands except where the non-Federal lands are intermingled with, or, with the consent of the permittee or lessee involved, associated with, the Federal lands subject to the plan." Availability of non- Federal resources could influence plans on units slated for intensive management, although currently no such resources have been identified. ' CHAPTER TWO – 17 State and private land comprises 78 percent of the total of 2,631,000 acres in the EIS area. Under the Preferred Alternative, 278 units consisting mainly of state and private land would be managed nonintensively. Presently, this level of management does not involve any non-Federal resources. Federal Programs Bureau of Land Management Section 603 of Bureau of Land Management (FLPMA) directs BLM to complete a wilderness inventory. The first phase involves identification of roadless areas (a contiguous tract of land 5,000 acres or greater). BLM policy directs that no action will be taken on this land which would impair its suitability as wilderness. This is known as "interim management". Preliminary decisions as to suitability for wilderness will be made by October 1980, and lands not suitable will be returned to multiple use management. Final determination of wilderness areas must be made by Congress by 1990. Forest Service The Pike-San Isabel National Forest is adjacent to part of the EIS area. Four BLM permittees have five allotments (units 199,116,117, 222, and 223) adjacent to their Forest Service allotments. These are not integrated with BLM allotments to form integrated grazing units. There is no cooperative nor coordinated grazing program between BLM and the Forest Service and no trailing permits across BLM-administered land since most of the National Forest is not grazed. However, when Forest Service allotments become available, BLM could recommend that certain vegetation allocations be made to qualified operators who have lost or had reductions in grazing use on public lands. There are no major conflicts between the current Pike- San Isabel grazing management and the BLM preferred and other alternatives described in this EIS. Soil Conservation Service The Soil Conservation Service (SCS) has cooperated and continues to cooperate with BLM in developing soil surveys. BLM will coordinate with the SCS in formation of ranch management plans with operators having AMPs developed for their grazing allotments on public lands. Fish and Wildlife Service The Fish and Wildlife Service (FWS), under the Endangered Species Act of 1973 (PC 93-205), under the Fish and Wildlife Coordination Act, as amended (PL 85–624, 72 Stat. 563, 16 USC 661), and under animal damage control programs, must cooperate with other Federal and state agencies with regard to wildlife. FWS has primary responsibility for control of predatory animals and rodents on public lands when damage to other resources by these animals can be shown and documented. They report animal damage or predation, compile records, and carry out control programs on public lands in areas authorized by BLM. Regulations governing interagency cooperation (43 CFR 870-876) require Federal agencies to formally consult with one another if a Federal action would or may affect endangered or threatened species or their habitat. 18 – ROYAL GORGE ENVIRONMENTAL STATEMENT TABLE 2-5 IMPACT SUMMARY | Present Preferred NO Elimination Management Nonintensive Environmental Element Situation Alternative Action of Grazing Constraints Management Livestock Forage AUMS (per year) 14,212 20,763 14,212 O 14,659 14,212 Average Vegetative Cover On Intensive Mgt Units (Percent) 22.50 25.20 22.49 24.30 24.60 23.20 Apparent Range Trend (Acres) Upward 2,664 2,664 2,664 2,664 2,664 2,664 Stable 94,461 436,295 89,461 436,295 436,295 94,461 Downward 341,834 O 346,834 O O 341,834 Unsuitable 150,716 150,716 150,716 150,716 150,716 150,716 Range Condition (Acres) Excellent 307 507 307 307 407 307 Good 3,376 26,806 3,376 3,376 10,536 3,376 Fair 99,133 99.133 94,133 99,133 99,133 99,133 Poor 336,143 312,513 341,143 336,143 328,983 336,143 Wildlife Habitat Acres Improved (On Intensive Mgt Units) Mule Deer 455,000° 58,431 O 22,598 50,961 18,238 Elk 96,200 8, 141 O 10,000 4,780 3,960 Bighorn Sheep 41,900 2,276 O O 2,276 900 Acres Degraded (On Intensive Mgt Units) Mule Deer 455,000° 10,500 O O 7,902 4,360 Eik 96.200 1,000 O O 1,000 O Bighorn Sheep 41,900 30 O O O O Acres Unchanged Mule Deer 455,000. 386,069 455,000 432,402 396,137 432,402 Elk 96.200 87,059 96,200 86,200 90,420 92,240 Bighorn Sheep 41,900 39,594 41,900 39,624 39,624 41,000 Wildlife Forage (On Intensive Mgt Units) AUMs (per year) 11, 189 14, 134 11, 189 13,500 14, 134 11,189 Aquatic Riparian Habitat Condition of Stream Fisheries (Miles) Excellent 3.63 7, 1 5, 1 49. 1 13.4 13.4 Good 46.3 46.3 46.3 46.3 47.8 47.8 Fair 45.6 42.1 44.1 10.0 40.6 40.6 Poor 13.8 13.8 13.8 4.0 7.6 7.6 Apparent Trend of Stream Fisheries (Miles) Upward 1.5° 42.9 1.5 1.5 42.9 1.5 Stable 51.5 56.3 51.5 107.8 56.3 62.8 Downward 56.3 10.2 56.3 O 10.2 45.1 Recreation Visitor Days (per year) Deer Hunting 3,512 4,565 3,212 4,412 4,962 4,212 Elk Hunting 3,009 3,279 2,959 3,359 3,379 3,259 Bighorn Sheep Hunting 245 382 245 385 430 355 Other Big Game 1,593 1,593 1,593 1,593 1,593 1,593 Fishing 122,979 123,979 122,979 135,359 129,979 127,949 TOTAL 131,338 133,798 130,988 145,108 140,343 137,368 Livestock Grazing AUMs (per year) 39,369 20,763 39,369 O 14,659 14,212 Economic Values (On Intensive Mgt Units) Net Revenue (per year) Large Operator $ 34,449 $ 31,521 $ 34,449 $ 24,457 $ 20,904 $ 27,470 Small Operator 352 – 1,628 352 –5,575 –3,985 –3,785 Construction Costs of Rangeland Improvements (Millions) O $ 2.4 O $ 18-30 $ 6.5 $ .3 Ranch Labor Losses (person-years) *s- 7.2 O 26.6 19.2 17.9 Property Tax Total $ 34,086 $ 31,739 $ 34,086 $ 26,966 $ 28,947 $ 28,614 Government Related Income Change * $ 90,000 O O $ 60,000 O Recreation Related Income Change Per Year - +$213,133 –$ 44,576 +$617,349 +$458,932 +$305,543 Water Resources Water Consumption by Livestock and Wildlife (Acre-Feet/Year) 50 15 50 6 12 15 Peak Flow from 10-year Storm (Cubic Feet/Second/Sq. Mile on Intensive Mgt Units) 112.92 109. 12 112.87 97.87 103.89 11 1.67 Volume of Runoff from a 10-year Storm (Acre-feet/Sq. Mile on Intensive Mgt Units) 22.23 21.66 22.22 20. 10 20.98 22.06 Sediment Entering — Arkansas River (Million Tons/Year) 1.90 1.72 1.90 1.49 1.62 1.73 Soil Erosion Soil Loss to Erosion (Tons/Acre/Year on Intensive Mgt Units) 1.55 1. 16 1.64 0.54 0.82 1.19 Soil Loss to Range Improvement Construction (Tons) 733,050 8,511 O O 3, 183 O Erosion Condition Class (Acres) Stable 55,259 55,594 55,259 Slight 182,604 198,984 182,604 NA NA NA Moderate 221,863 208,389 221,863 Critical 33,925 30,684 33,925 "All impacts are long term (20 years) and no short-term impacts were identified because of the length of time required to observe a change in vegetation *These figures represent total acres of habitat *Rounded to the nearest tenth mile *NA means not available Water and Power Resources Service Water and Power Resources Service (WPRS) is responsible for water control and management along the Arkansas River and has one project, the Arkansas Frying-Pan in the area. WPRS is routinely consulted on projects that could affect area watersheds. None of the alternatives are expected to affect WPRS lands or areas of jurisdiction. State Programs Colorado State Land Office About 15 percent of the 2.6 million acres of land in the EIS area is owned by the state and administered by the State Land Office. These lands are leased to permittees for livestock grazing and, in most instances, are intermingled with public and private lands. The lessee is considered responsible for these lands and controls public access, except when leases are granted by the state for concurrent uses in addition to livestock grazing (e.g., mining). The state also issues oil, gas, and geothermal leases On its lands. The proposed intensive livestock management program would have a direct effect on unfenced, intermingled state lands. If BLM sets the grazing capacity of intermingled state lands below what the state recognizes as the proper capacity, the state lessee may request an adjustment in recognized capacity for his state lands. Colorado Division of Wildlife The Colorado Division of Wildlife (DOW) is responsible for fish and wildlife management within the EIS area. BLM is responsible for fish and wildlife habitat management on public lands, while DOW CHAPTER 3 CHAPTER THREE – 19 manages actual populations. This requires close coordination. Much of the information used to determine present and estimated future wildlife numbers was supplied by DOW. They presently have 38 AUMs of grazing qualifications in unit 127 (5,755 acres of public land). Local Programs Few local programs are directly related to the preferred and other alternatives considered in this EIS. Resource plans developed by SCS and BLM mutually affect each other, and SCS is often the contact for local agencies regarding these plans. The Soil and Water Conservation Districts work with landowners through the SCS and Agriculture Stabilization and Conservation Service on conservation measures for farmers and ranchers. The EIS area lies in portions of eight counties; it appears there would be little conflict with county planning or zoning. AFFECTED ENVIRONMENT SETTING The environmental impact statement (EIS) area is located in Southcentral Colorado, bordered On all sides by the Pike-San Isabel National Forest. The area's principal Communities are Canon City, Salida, Colorado Springs, Leadville, and Walsenburg (Map 3- 1). Elevation ranges from 5,300 feet near Penrose on the east to 14,036 feet near Leadville On the west and 6,100 feet near Walsenburg on the south to 9,900 feet near Fairplay on the north. The Arkansas River divides the area. Its upper reaches run north-south, parallel to the Continental Divide. The EIS area consists of 589,675 acres of public land scattered throughout 2,631,000 acres of land in two planning areas. Approximately 22 percent of the EIS area is public land, 62 percent private land, 15 percent state land, and 1 percent other. The EIS area lies in all or parts of eight counties: Chaffee, Custer, El Paso, Fremont, Huerfano, Lake, Park, and Teller. The land form of the area is predominately a foothills type. To the east lie plains, to the west the rugged Sangre De Cristo and Collegiate mountain ranges. East from these mountain ranges, the land descends into steep and rugged canyons dominated by pinyon and juniper, finally leveling out into rolling hills and mountain valleys. SOILS The soils in the EIS area represent a complexity of chemical and physical features but most generally are residual type soils derived from sandstone and shale and alluvial soils derived from mixed alluvium (Map 3- 2). Appendix C gives the more important chemical and physical properties of individual soils occurring in the soil associations. More detailed information can be found in the Royal Gorge and Raton Basin Planning Unit URAs and in the Chaffee-Lake Area soil survey (SCS-1975), available at the BLM Canon City District Office. The present erosion condition classes are an expression of current erosion activity based on field examination. Seven categories of soil surface factors (SSFs) were considered to determine the present erosion condition. The seven features are soil movement, surface litter, surface rock, pedestalling, rills, flow patterns, and gullies. Five erosion condition classes are used to depict erosion activity through numerical values: stable (SSF 0-20), slight (SSF2I-40), moderate (SSF 41-60), critical (SSF 61-80), and severe (SSF 8-100) (See Appendix B, Form 7310-12). Public lands of potential AMP status in each erosion class are: stable—55,259 acres; slight—182,604 acres; moderate—221,863 acres; and critical 33,925 acres. Almost 45 percent of public lands falls within the moderate erosion class and 7 percent is within the Critical class. Often there is a direct relationship between erosion condition class and vegetative condition. Of land area suitable for grazing, 78 percent shows an apparent declining trend; only percent (2,664 acres) has an improving vegetative trend; 21 percent is static. Sediment yield is soil transported by water from one point to another. Sediment yield is measured in tons per acre per year. Reliable data is based on calculations over a long period, generally 25 years or more. Sediment yield is estimated on the basis of an area's geology, soil, climate, runoff, topography, ground cover, land use, upland erosion, channel erosion, and sediment transport. The Pacific Southwest Interagency Committee (PSIAC) developed procedures for estimating sediment yield, giving each of these factors a numerical rating. Sediment yield from public lands is estimated at 733,050 tons or 396 acre-feet of soil annually. Individual sediment yield ratings are listed by unit in Appendix G. 20 – ROYAL GORGE ENVIRONMENTAL STATEMENT r-a2-w R-81-w R-79-w ) | P i k E N AT I O N A L Fo R. Es T. s N AT to NAL For Es T. H l & | R-74-w - s A N is A B E L l |- - –H–- - N AT to NAL - º 15 mile- MAP 3-1. ROYAL GORGE EIS AREA LOCATION MAP For Est | - L. —H--- T----- re".” Luis Maria dºc- T-40-n T-39-N T-38'N R-73-w R-72-w rike narronal Fo R. Es T - T-7-s R-70-w ~ \ --- "... | - Rampart Reservoir T-11-s T-12-5 –––. \ | i ~~~ \ - |\ \, T-1 6-s T--4-- T-26-s T-27-s T-26-s T-29-s R-82-w R-80-w R-79-w R-78-w R-77-w - - - – ur-c-nr-dº- r Homertake Reservoir l Pi KE 49 N AT I O N A L F O R. Es T - R-73-w R-74-w R 73 w R-72-w I – º ºs {º} T-7-s , - - - - - - - - `-- | - | -- CHAPTER THREE – 21 4. \) º - º º - | T-8-s T-9-s º Rºw R-70-w R-69-w R-68-w R-67-w ----r *H G9 Monum-nt i \ | - P 1 K E N AT I o N A L Fo REST - º r- ~ I- gº - +. | |-- 49 — = i — — . ~. - - º - 'H' Worth ºtamount Reservoir ! south cºwmount Reservoir & ſ. 24, " : ſ Crystal Creek Reservoir Rampart Reservoir T-12-s --> !- ~ : 137 gºwn". Canyon Reservoir - - t 157 - - - - l . T-13-s F-—- 49 - | - --- -14-s --- l T - - 120 º - * º F—-—, - - º º 49 | - º crºpp-cr- * T-15-s º 137 +. | - tº º -- victor - ----------- -- - + - ~ | T-1 6-s - 55 137 3 t l / 49 - 31 - I 46 - - T-17-s 55 55 8 AN 93 - 46 - * 3. º - A. 34 46 l 55 47 /3 T-18-s t 2 Canon-city 8 **- 34 47 45 100 - *7 46. 34 - - - º T-19-s Tl25 . - -" !-- —- * — 116 - º - T-20-s S A N IS A B E - - - - - - 35 -Tº - N AT I C N A L º Fo REs T T-21-s º -- - - - º 51 º º GE | º "T-22's - - - 1– - O 5 1O 15 miles - |--|--|-l l +\ MAP 3-2. SOIL ASSOCIATIONS (Refer to Appendix C for Names and Descriptions) T-44-N Hºcºon. - Luis Maria Baca Grant wo. 4 T-41 -N T-40-N T-39-N 22 – Royal GoRGE ENVIRONMENTAL STATEMENT R-02-w R-61-w R-80-w R-79-w R-76-w R-77-w R-76-w R-75-w R-7--- R-73-w R-72-w - I --- + - - º c & - --~~ - - - Moment-º-noir - - | º: | - - R-r -- - \ ---- \ Turquois-l T-9-s \ \ - N r | | –H | | -- | --- T-to-s l - - - - l º R-71-w R-70-w R-69-w R-6--- R-67-w - - º - -- T --- º W ------- “. G - - º | * - --- \l. - - T-11-s rwin Lººſ cº Pik Elºn Air 1 on All Fo RE's T - - G - Pi KE - – \ - - clear C º N AT I O N A L T5 ~ / -- º - - - - Nº. Fo R. Es T | - º, lº: Rampart Reservoir T-12-s y 2 \º s ; : A = º -à 2^ / | ----- canyon Reservoir º . - - -- º - - i º º South nºt a - -- ºf 2 gº . |T-13's | - Crystal Creek Reservo - - - º |colorado pring- ºvº - T----> T-15-s r-5-E - º * - T-17-- -T- T-18-s © º |ries |- ~ - -- - ~~ º *~~r-zo's zes saw is as EL º - - r—. -- 2– T----> --- T-22-s o 5 lo 15 miles - 1–1–1–1–1–1– º MEADOW º GRASSLAND T-23-s - AGRICULTURE -N - - BROADLEAF * -- MOUNTAIN SHRUB Luis Maria Bac- – P- PINYON-JUNIPER Grant wo. 4 Conifer SAGEBRUSH SALTBUSH MAP 3-3. DISTRIBUTION OF VEGETATIVE TYPES - - - º P- - --- - >\* ºf ea ~~ - - - T-o-º- º - C -º … - - o: Mº o: T-39-n º sº - → . º: º | - T-38-n - | GE/ —— | A § - * L-v- ºs T-25-s VEGETATION The quite variable climate and elevation of the Royal Gorge EIS area are conducive to extremely varied vegetation. The classification system used in the EIS area by BLM categorizes vegetation into one of three major groups-grassland, shrubland, or forestland. More definitive type designations, as outlined in BLM Manual Section 1632.12, consist of types, subtypes, and major species. Major subtypes are listed in Appendix Table B-3. Distribution of major subtypes is shown on Map 3-3. Grassland Group The grassland group includes the grass and meadow types and covers approximately 1,532,300 acres or 58 percent of the EIS area. This group is most important because of its potential for forage production. The grassland group is found predominately in the South Park and High Park areas and includes the blue grama subtype at 5,000-9,500 feet, the mountain muhly subtype at 8,000-10,000 feet, and the Arizona fescue subtype at 9,000-II,500 feet. These subtypes intergrade with each other and are found throughout the area within their elevational zones. Each is found as extensive acreages or as very small parks within shrub or forest types. Much of the blue grama-dominated subtype is the result of past overuse of mountain muhly, needle-and-thread, or western wheatgrass- dominated sites. Severely overutilized sites are dominated by annual weeds or shrubs but these are not extensive and generally occur in bottoms, around water, or in small parks within forest and shrub types. The meadow type includes the sedge-rush and brome meadow subtypes. Sedge-rush meadows are found extensively in South Park while brome meadows are found at mid to high elevations throughout the EIS area. Except in South Park, meadows generally are small (less than 5 acres) and therefore less significant to overall forage production. However, meadows are important as an index of productivity when associated with relatively low forage-producing forest or shrub types. Shrubland Group The shrubland group covers approximately 28 percent or 736,400 acres in the EIS area. Types include pinyon-juniper at 5,000-10,000 feet, mountain shrub at 6,000-9,500 feet, sagebrush at 7,500-10,000 feet, and saltbush at 5,400–5,500 feet. Pinyon-juniper is the most significant shrub type because it covers nearly one-fourth of the EIS area. It is found on shallow rocky soils of ridges, on deep soils in valleys, and on benches. Pinyon dominates at higher elevations, juniper at lower. Mature stands of pinyon or juniper support little or no understory vegetation. Relative forage production depends mainly on the occurrence of blue grama parks within the type. The mountain shrub type is dominated by Gambel oak or mountain mahogany. These are found predominately in the Arkansas Canyon area or on shallow rocky soils. This type is less important in the EIS area as a whole but contributes significant forage and cover where it occurs. Gambel oak is a primary successional stage following fire or disturbance in forest types. The sagebrush and saltbush types are less important because they occupy relatively little area on public lands. Forestland Group The conifer and broadleaf tree types make up the forestland group. It occupies only 11 percent (294,900 acres) of the EIS area. The major conifer subtypes include ponderosa pine at 5,000-9,000 feet, lodgepole pine at 9,000-11,500 feet, Douglas-fir at 6,000-10,000 feet, and Engelmann spruce at 9,000-11,500 feet. Major broadleaf types are aspen at 5,000-11,500 feet, narrowleaf cottonwood at 5,000-8,000 feet, and plains cottonwood at 5,000-6,000 feet. Ponderosa pine occurs in open stands with productive understory of grasses, forbs, and shrubs. Other conifer types are less important because they occur on steep slopes in dense stands with little understory production. Aspen is the most widely distributed subtype in the EIS area, occurring as small "islands" within conifer types where moisture and light are favorable. The aspen subtype generally has a highly productive grass- forb understory and contributes to the overall productivity of associated conifer types. The two cottonwood subtypes are limited in size and distribution but are important as livestock and wildlife concentration areas. These subtypes are often associated with streams or springs and are often the only suitable bedding grounds in the rugged canyon areas at low and mid elevations. These types can support productive grass or meadow understories but more often have annual weed understories due to Overuse. Other Other types found in the area are riparian, cultivation and cropland areas, population centers, and waste areas. Riparian Riparian zones are generally too small to be mapped separately but are found throughout the EIS area where there is enough water. Riparian bands generally occur along streams through the grass, meadow, and broadleaf tree types, but can also be found where conditions permit in conifer types and woodlands. The cottonwoods dominate riparian areas at lower elevations while alder dominates high elevation riparian sites. Willow can dominate riparian sites from mid to high elevations and is commonly associated with cottonwoods or alder. Other species found in riparian areas include cattails, sedges, and rushes. Riparian species commonly have given way to annuals and some hardier grass species under excessive grazing pressure. Cultivation and Croplands These areas involve private lands that are currently being used to grow row crops and hay, both irrigated and dry land. Cropland areas can be found in major drainages and in large valleys such as South Park and the Wet Mountain Valley. Major crops are alfalfa and grass for hay production. Some corn is grown as well as some dryland grain crops. Population Centers Population centers are areas occupied by cities and towns and the surrounding suburbs. CHAPTER THREE – 23 Waste Waste includes land covered by large bodies of water or extremely rocky, steep land which is not supporting any appreciable amount of vegetation. Poisonous and Noxious Plants Poisonous and noxious plants are not a serious problem in the Royal Gorge EIS area. Localized concentrations may cause problems or reduce vegetative production but these are not significant to the area. The major noxious or poisonous plants found are sleepygrass, snakeweed, rabbitbrush, rubberweed, Whipple cholla, prickly pear, lupine, and loco. Water hemlock is known to occur along Fourmile Creek, but is not a problem. Gambel oak can be a hazard to livestock when grazed during the spring. Normally losses are not significant because rangeland having much oak is deferred from grazing during that time. More information on poisonous or noxious plants of the Royal Gorge EIS area is available in the Royal Gorge and Raton Basin URAs, Step III, Vegetation. Threatened and Endangered Plants No specimens of the species contained in the list of endangered and threatened plant species of Colorado (Federal Register, Vol. 40, No. 127, p. 27846, dated 07/01/75) have been found in the EIS area. More information on suspected or proposed threatened or endangered plant species is available in the Royal Gorge and Raton Basin URAs, Step III, Vegetation. 24 – ROYAL GORGE ENVIRONMENTAL STATEMENT Condition The analysis of range condition is used to compare the current condition of a range to the best possible condition of a given area (Stoddart et al., 1975). Major changes in vegetation that would affect range condition are slow in occurring (Wasser, 1974). In the long term for this EIS, which is 20 years, changes in range condition classes are not expected. Objectives for range condition have been adjusted accordingly. In the EIS area, 1 percent of public ranglands are in excellent to good condition and 73 percent fair and poor. Twenty-six percent of public land is unsuitable for livestock grazing. Table B-1 in Appendix B indicates range condition objectives by management unit. Ideally, permanent, fenced exclosures that have been in place over a long period of time should be used to indicate the potential of the native plant community in contrast to current conditions (Stoddart and Smith, 1955). Lacking such exclosures, BLM specialists have had to use highway and railroad rights-of-way and remote or protected sites showing little or no sign of livestock use. Blue grama dominates much of the mid- and low- elevation grasslands and shrub or forest understories. Blue grama is known to be quite resistant to grazing and will tend to increase under heavy grazing pressure (Cook, 1975, 1979). Ungrazed areas were found by comparison to be dominated by cool season bunch grasses with blue grama, a warm season species, occurring only in small amounts (Trlica and Hackney, 1977). Yearly grazing during the growing season has eliminated or prevented reproduction of the cool season species (Cook, 1979) on most of the grazeable rangeland in the EIS area. The method used in this EIS for evaluating range condition (Appendix B) is similar to one used by the Soil Conservation Service (SCS), in which the concept of climax is a measure of optimum condition. Nearness to climax is judged by closeness to maximum species diversity, but this alone may not adequately indicate actual range condition. To add flexibility to the method of evaluating range Condition, production of usable forage species is added as a consideration, especially when a plant community is apparently near climax. The range condition rating is lowered when production is lower than would be expected considering current growing conditions (SCS, 1976). The rating system must be applied to a great variety of vegetative conditions and types. For example, grazing in the EIS area takes place in areas that are quite heavily forested and not usually considered rangeland. A mature pinyon-juniper stand would rate in excellent condition but, because such a stand has so little usable forage, it would rate in poor condition as rangeland. This situation accounts for a large amount of rangeland in poor condition in the EIS area. With few exceptions, the quality of riparian vegetation in areas grazed by livestock is far below potential. All of the riparian zones affected by livestock grazing are in poor or fair condition (see Aquatic Resources). The concentration of livestock, wildlife, and human use in these areas has resulted in a reduction of the indigenous woody and nonwoody vegetation. Species composition, vigor, and density of desirable species have been reduced. Sites in good or excellent Condition are inaccessible to livestock (see Appendix D). Rangeland unsuitable for grazing was not included in general livestock management objectives to improve condition and therefore its condition was not rated. Areas with steep slopes (greater than 50 percent) or areas supporting little usable vegetation (less than 25 pounds per acre) such as dense timber or mature pinyon-juniper stands were rated unsuitable. Apparent Trend Effective evaluation of present and past management must be determined by evaluating the direction of change in range condition, up or down (Stoddart et al., 1975). To measure a change, or trend, in range Condition, observations should be made at two points in time. Lacking earlier observations of range condition for comparison, trend can be inferred from factors such as species composition, plant vigor, and litter accumulation. This was the method used for the purpose of this EIS. Because trend had to be inferred, it is referred to as "apparent" trend throughout this document. The observations of current conditions occurred during the drought years of 1977 and 1978. At that time, apparent trend of range condition of 83 percent of the EIS area was downward. Objectives for range trend by management unit are found in Appendix Table B. Most rangeland in this EIS area showed undesirable compositional changes during the 1977– 78 apparent trend survey. The severe drought would have diminished the amount of desirable seedlings observed thus falsely lowering the trend rating but undesirable species reproduction would have been similarly affected. Compensation for the effects of drought was therefore possible and an undesirable change was still indicated. Pinyon or juniper was observed to be intermingled with grass and shrub types. This natural encroachment of pinyon and juniper into adjacent types, however slow, inevitably causes a decline in other shrub and 9tass species (Barney and Frischknecht, 1974; Burkhardt and Tisdale, 1975). Thus the apparent trend of pinyon-juniper stands and most adjacent areas was inferred to be downward. Plant vigor was lower than expected because of the drought. Relative vigor is readily apparent when grazed plants are compared to protected plants growing on the same site. Desirable plants found under shrubs, inside cactus clumps, or across fencelines Commonly showed an estimated two to five times greater size over plants readily available to livestock and wildlife. Such reduced vigor will eventually lead to a reduction or loss of these plants from the community (Stoddart and Smith, 1955), which is characteristic of a downward trend. Comparisons between grazed and ungrazed areas on the same site also permitted evaluation of ground cover of desirable vegetation. Losses in cover of desirable species were observed. Such losses provide opportunity for undesirable species to become established, implying a downward trend (Humphrey, 1962). all or even lose weight. new forage areas. severely overgraze the flatter land. SOME LAND IS UNSUITABLE Areas with steep slopes or sparse vegetation are not suitable for livestock grazing. When forced to graze these areas, cattle expend more energy in acquiring food and, as a result, gain weight more slowly. Unsuitable areas are, therefore, not economical to graze because of low weight gains and greater management costs in moving cattle to In addition, cattle do not graze these areas evenly. They tend to This being the case, BLM does not allocate forage for livestock in these kinds of areas. In some cases, cattle gain no weight at CHAPTER THREE – 25 RANGE IMPROVEMENT BEGINS WITH PLANT VIGOR Increase in plant vigor is the first step in improvement of rangeland. It takes five years for overgrazed forage plants to regain enough vigor to produce seed at a normal rate. During late summer and fall, seeds dry up and are scattered by the wind and other natural forces. In spring they germinate, producing more plants. At this time, already-established plants are low in food reserves (carbohydrates), which they use during winter and in spring for first growth. First growth is necessary to replenish the carbohydrates used for later growth and, if carbohydrate reserves are adequate, for producing more seeds. Cattle graze on the upper part of range plants, which is where the carbohydrate-pro- ducing process of photosynthesis takes place. Removal of the upper part delays pro- duction and storage of nutrients, which is necessary for winter survival. Less seed is produced as a result because growth requirements take precedence and use up available nutrients. If plant physiological processes are inhibited in this way over several years, reserves of nutrients get too low for the plant to survive. With proper rest, desirable forage species are more competitive than other species of vegetation and tend to predominate. Forage species are the most stable and have the highest producing potential. The measure of good range condition is the relative predominance of these desirable forage species. The upper left drawing depicts the gradual decline of a range plant. As it is grazed heavily every year during the growing season, the plant and its root system become progressively smaller. Two drawings below depict the recovery of a range plant given proper rest. Note that the plant on the right is larger and has abundant seed heads. In the photograph to the left the range has been grazed heavily every year and plant vigor is low. The photograph to its right is a closeup of the ground on the same range. It is the end of the growing season and there is very little growth and few seed heads. In another closeup of a different part of the range (lower right), there are several plants that are larger and have more seed heads. This part of the range has been less heavily grazed and plants have had an opportunity to complete their physiological requirements. 26 – ROYAL GORGE ENVIRONMENTAL STATEMENT The majority (75 percent) of riparian areas affected by livestock grazing have a declining trend in condition (see Aquatic Resources). Livestock concentration along stream courses has caused overgrazing of riparian vegetation, resulting in extremely low plant vigor. Reproduction of desirable species is limited or nonexistent. Woody riparian species are becoming more rare, reducing cover and therefore soil and streambank stability. Production Prior to the 1977-78 range survey, very little reliable production data was available. Production surveys were made on some grazing units in past years but results are questionable. Little or no field data was documented or figures were arbitrarily changed (always upward) without documentation. Previous Surveys often did not discount unsuitable rangeland in assessing the grazing capacity of units. For example, a rocky brush covered ridge was given equal grazing capacity to a grassy flat nearby. The 1977-78 survey is currently the only reliable source of data upon which to base initial grazing capacities in the Royal Gorge EIS area. Even though 1977 and 1978 were two exceptionally dry years, little or no difference was found in field data that was checked during the extremely wet 1979. Though the data is sound, several factors preclude the results of this survey from being used as the sole determinant of grazing capacities. The survey method used requires actual use pastures upon which to base forage acre requirements (FARs) and individual plant species proper use factors (PUFs). (See Appendix B for more detail on the method of calculation.) These two factors can be determined for local conditions through monitoring actual grazing use in a controlled grazing unit. Lacking such a unit, FARs and PUFs were estimated based on specialists' local experience and knowledge and similar surveys conducted in western Colorado and Nevada. Another major factor affecting the applicability of the current survey in determining grazing capacity was the inability to map vegetative types on a small enough scale. The BLM Manual (44.12.11A) requires mapping Of areas no Smaller than 160 acres. Where this has been done, grazing capacity has been underrated. In the EIS area, much grazing takes place in shrublands and forested areas in which are Scattered grassy parks and meadows. The grazing capacity of areas like these, therefore, are judged primarily on the basis of vegetative types less productive of forage species. Where possible, such areas have been mapped as small as 5 acres, but this still does not adequately indicate their grazing capacities. Map scale precludes mapping any smaller. As a result, land that might be desirable to the operator was not allocated because its apparent capacity was below minimum Standards for allocation. In the recent MFP updates, grazing capacities were calculated based on 50 percent use of the current annual vegetative growth of perennial vegetation, which is the average for proper use (Cook, 1974). If more annual vegetation is present during the spring or summer, more grazing use may occur while remaining within 50 percent and still achieve proper use levels. During the fall or winter or under high intensity-low frequency grazing treatments, more than 50 percent use may be allowed. In these situations where current annual growth varies substantially, setting an exact yearly grazing capacity is not feasible. e In summary, the results of the 1977-78 range survey are not intended for determining the absolute grazing capacities of management units, but they are the most reliable data available and provide a sound basis for initial use adjustments when evaluated along with condition and apparent trend information. LIVESTOCK Cattle and horses are the only kinds of livestock authorized to graze public lands within the Royal Gorge EIS area. There are approximately 310 grazing permittees/lessees using 416 grazing allotments on public land. Grazing of horses is authorized on 9 of these, the rest entirely cattle. An average of 40 to 50 ranch transfers or grazing lease assignments are processed each year in the Royal Gorge Resource Area, constituting a 13 to 16 percent yearly turnover in livestock operators using public land. Of the 93 operators being directly affected by proposed intensive management, 72 operators run small operations (200 head or less) and are usually Cependent On Outside income to sustain their Operation. The approximately 217 operators not affected by intensive management proposals are not dependent on public rangeland. Their permits/leases generally consist of a few scattered parcels of public land within hundreds or thousands of acres of private land. Of all forage production in the EIS area, only 3 percent is attributed to public land (Bartlett et al., 1979) and only half of that is found on the large manageable tracts slated for intensive management (Table 2-1). The stability of the region's livestock industry as affected by grazing management on public lands is indicated by the relative amount of forage provided on public lands compared to private lands, the number of operators dependent on public land, and the number of those operators dependent on livestock for their livelihood. Present overstocking on some public land causes livestock to utilize low value forage, expend more energy in grazing, and consume less forage. Weight gains and livestock production returns are lower (Oxley, 1975). Most grazing use on public lands occurs during the summer although some use occurs during other seasons of the year. Winter use is limited to foothill ranges on the eastern and southern edges of the EIS area because most of the range is at a higher altitude and is often covered by snow. Hay and private pasture are generally needed to hold livestock through the winter. Most operators pasture and feed their livestock on hay meadows and remove them in the spring or summer to allow for hay production. Historically public lands have been used to graze cattle during this time. Most livestock operations are cow-calf or Cow- calf-yearling. A few operators maintain a rigid livestock management program, calving occurring in the late winter and early spring. Most are part-time operators, however, and calving can occur at any time of the year, although it occurs predominately in the spring. Some of the part-time Operators lease their base property from investment companies and subdividers. WILDLIFE Species, type, and conditions of habitats are SO diverse that most wildlife species must be considered in generalized groupings related to preferred habitats. Most big game will be addressed by species—mule deer, elk, antelope, and bighorn sheep. All other wildlife will be addressed by principal related habitats—riparian and broadleaf trees, mountain Shrub, Conifer grasslands. (including pinyon-juniper), and Food, water, cover, and the interrelationships of these factors all affect quality of habitat and ultimately wildlife populations. Determining the precise cause- effect relationship and degree to which each of these factors limits wildlife populations is difficult. The Combined effects can be described in general terms, however. Mule Deer Populations are low and habitat conditions are generally in poor to fair condition throughout the EIS region (Table 3-1). Several factors have influenced the EIS area deer herd in recent years, including climate, human activities, and livestock grazing (Map 3-4). Some of the resulting impacts are irreversible; others are temporary or cyclic. During the winter of 1972-73 a series of severe winter storms decimated many of the Colorado deer herds, including those of the EIS area. The following years were generally dry, damaging and retarding growth of browse plants, grasses, and forbs. Continued livestock and wildlife use in the wake of this drought has reduced production, vigor, density, and composition of the area's vegetation and with it the area's carrying capacity for mule deer. Additional mule deer habitat has been lost because of urbanization, rural Subdivision, home construction, and associated human activity, and wildlife harassment. During Spring, concentrations of mule deer are found feeding on private irrigated hay fields and meadows along Currant Creek, Texas Creek, and the area around Howard, Colorado. As forage outside these hay fields "greens up" the mule deer move out of these areas and spend the summer, fall, and winter, depending on the severity, in adjacent mountain shrub Communities. Although winter habitat is generally critical to survival and health, losses of mule deer in this EIS area are due principally to the poor condition of Spring- summer ranges (Table 3-1). This can be seen by comparing the condition of seasonal ranges. The recent drought has only slightly affected annual production and vigor of mountain shrubs like Gambel oak, mountain mahogany, and Snowberry which are sufficient for their winter Survival. Utilization is generally below 60 percent. In comparison, vegetation on spring-summer ranges has little vigor and low production due to heavy livestock use. In addition, these are the sites most Often used for subdivision and recreation. Public lands have very little spring range to compensate for loss of spring-summer range elsewhere. Drinking water is scarce and can limit use of areas during June, July, and August. Deer frequently move great distances to get water and use of an area can depend on maintenance of livestock water sources. COver in the area is excellent. The terrain is generally rough or rolling, which provides for many requirements of deer. Much of the steep rocky terrain is covered by dense pinyon-juniper stands which provide excellent escape and resting cover. The principal use of public land by mule deer is for cover and gathering food at times other than Spring. Water and spring forage are acquired on private land. Elk Elk populations in the EIS area have been increasing steadily ever since their reintroduction into the region in the 1940s. Approximately half of all elk R-82-w R-79-w | N AT I O N A L F O R. Es T. º \ 15 | -N- _^ Gº- O 5 IO H–1–1–1–1–1–1–1–1–1–1–1–1– Miles LEGEND: Mule Deer Bighorn Sheep Distribution-1/ C - - - - C Winter Range Crucial Winter Range *- - Calving, Lambing & - Kidding Areas CT) º Generalized Movement Patterns _2~ _- +/secause mule deer habitat is so general and wide spread, only areas not normally supporting significant numbers have been excluded (Eastern plains, south Park and Wet Mountain valley). MAP 3–4. | MULE DEER AND BIGHORN SHEEP DISTRIBUTION N AT 1 o NAL The Forest | Luis Maria Baca R-70-w R-69-w cHAPTER THREE – 27 R-71 -w º T-1 1-s - / P 1 K E N AT I o N A L. F o REST - - -- – H- ----- |- ſ \ | - - -T – | -- |- Rampart Reservoir T-12-s | “”º º '— '#7 |\ k . Eºwn".Canyon Reservoir -- | - * - t - º - tamount Reservoir-e South cºwmount Reservºir T2+2 & – --- - T-13-5 Crystal Creek Reservo co-or-do-prin-- I. º |-- \s | | ſ=J A san is aest *N__ - w ~s - ^ H # T-14-s T-15-s T-16-s T-17-3 T-18-s T-19-5 T-22-5 | Fo R. Es T T-23-s T-24-s --- - - r −1. y \ T T-25-s NiZ - |z ºr ſº | ſ N. T-26-s ſt-r-, -F – S- |_--~ — 28 – ROYAL GORGE ENVIRONMENTAL STATEMENT R-82-w R-81-w R-80-w R-79-w - R-78-w R-77-w R-76-w a........a...º - - R-75-w R-74-w R-73-w R-72-w ar-e--nº-d-- - - - T-7-s T-8-s T-9-S T-10-s rºw R-70-w R-69-w - \ | t | - \ - | - T - - * - | |G) º º - P 1 K E N AT I o N A L FOREST - P 1 K E lsº - N / \|^\ | > *N – r--- - - - N AT I O N A L \ - r— - \ Antero Reservour - º * - South - º - º º, º *. ~ !-- l F OR Es.T `--> º “” P-r River Tu-, 1- , - —l- - - E. * - º -> – -worthcºtsmount º South owoup. Reservoir | zº, "Sº -—y - * * T-13-s Crite creek Reservoi © - colorado spring- - - º # H H TH T-14-s - * | T-15-s - R-s-E r-e-e | P |T-1s-s N AT to NAL T-17-g ! T-18-s T-19-5 H - - \ 4 | -i. - | Ti, Z2-—º --- SA N T S A B E L i ºp National L. N. - T N !T-4 - Forest | º - |- ) Nº ºn- - º 1. - --------- - Gº. - *...* O 5 |O 15 –– - L - T-zz-s - - I - - l_1-1–1–1–1–1–1–1–1–1–1–––– Scole in Miles K - Nº TTLLC. / saw is est | >- T-23-5 | '1, \\\\ | T-44-N L. \ º | *c...” LEGEND: *- - - - n a ri O N a L ºl 22-d T----> Fo R. Est Elk Antelope _9_^1 Distribution - Winter Range C2 - crucial winter Range T Calving, Lambing, & T-25-g Kidding Areas Generalized Movement - Patterns _2~ _2~ -T- T-26-s MAP 3-5. ELK AND ANTELOPE DISTRIBUTION CHAPTER THREE – 29 TABLE 3-1 ExISTING BIG GAME POPULATION AND HABITAT STATUS Big Game Population Population Big Game Habitat Condition Species Estimated Trend Numbers 1978–1979 Total Habitat? Winter Habitat Spring-Summer Habitat Yearlong Habitat (1,000s (1,000s Acres) (1,000s Acres) (1,000s Acres) Acres) Poor Fair Good Total Poor Fair Good Total Poor Fair Good Total Mule deer 8,740 Stable - 103.6 126.8 230.4 17.0 30.0 100.0 147.0 24.0 240.9 15.6 280.5 455.0 Elk 1,950 Up - 2.4 43.1 45.1 - 58.9 - 58.9 - 58.9 15.9 74.8 7.2.2 Antelope 545 Down 1.7 - - 1.7 - 25.7 - 25.7 9.8 13.3 - 23.2 43.5 Bighorn sheep 270 Up - - 3.6 3.6 10.9 - - 10.9 - - 38.4 38.4 76.2 'Public Lands only *Total habitat doesn't equal the sum of the seasonal habitat uses because of overlapping utilization habitat is in good condition with the rest, mainly spring-summer range, in fair condition (Table 3-1). Most Spring-summer habitat is on U.S. Forest Service land, which is generally in good condition. Livestock grazing and human activity have not affected elk as severely as mule deer because elk normally inhabit lands at higher elevations that are less suitable for human uses (Map 3-5). Elk habitat in the EIS area includes Waugh Mountain, Black Mountain, and Reinecker Ridge. Movement between these areas and adjacent Forest Service lands is frequent. Competition for forage with livestock often occurs during the spring and early summer, so elk spend most of this time on Forest Service lands and fall and winter on or near BLM- administered public lands. Water and cover are not limiting factors to elk. Water is generally abundant even at higher elevations. Large tracts of heavy timber with open meadows provide cover and forage. As a result the population is expanding. Antelope Antelope are found mostly on private lands within the EIS area with several important exceptions (Map 3– 5). The antelope population is declining (Table 3-1). Antelope habitat on public lands is in poor to fair condition. There are conflicting uses, the major ones being subdivisions adjacent to public land and livestock grazing. Drought has affected grass, forb, and browse production in recent years. Antelope spend Summer and fall in South Park and move towards Canon City via Currant Creek in the winter. Normally they winter near the Stirrup Ranch, but if weather is severe, they move close to Canon City. South Park does not have sufficient browse species for antelope in the winter. Their principal forage, fringed sage, is covered by drifted snow. More favorable conditions exist closer to Canon City. Competition for food between antelope and livestock in South Park is suspected not to be a problem. Water can be a limiting factor during late summer in South Park and sometimes they can rely only on water developed for livestock. Cover is a limiting factor. Summer and fall habitat is covered with subdivisions, by highways with sheep proof fences, and by dams with municipal water supplies. Winter habitat is under intensive agricultural use, crossed with highways, and subdivided. In severe winters, antelope retreat to pinyon-juniper hillsides, which provide adequate cover. Bighorn Sheep Bighorn numbers are increasing, partially due to a vigorous Colorado Division of Wildlife program which includes transplanting bighorn sheep and controlling lungworms. Several sheep ranges are fringe use areas of herds that spend a good deal of time on National Forest Lands (Map 3-5). The Arkansas Canyon herd is the only one that does not occupy U.S. Forest Service land. Habitat conditions are generally good (Table 3-1). The bighorns inhabit areas that have not, so far, been subdivided nor urbanized to any significant degree. Sheep prefer rough rocky terrain, which is abundant on public lands and precludes concentrated livestock USe. Food is abundant in bighorn sheep habitat. There are good mixtures of browse, forbs, and grass. Water is limiting to the distribution of sheep, which usually follow water courses rather than depend on livestock water developments. Riparian-Broadleaf-Associated Species These habitats have heavy wildlife, livestock, and human use. Typical wildlife species found in the riparian and broadleaf habitat type include beaver, cottontail rabbit, raccoon, marsh hawk, mourning dove, king fisher, flicker, warbler, sparrow, deer, and pocket gopher. Hundreds of acres in the EIS area have been degraded by intensive livestock and wildlife grazing, home building, roads, and recreational use. Riparian habitat has also been degraded by many water diversions for agriculture and other uses. Watershed degradation (Badger Creek) has adversely affected riparian habitat. Suitable woody riparian habitat has not established itself because of periodic flooding at least partially attributable to poor condition of the watershed. Location and condition of riparian areas are discussed under Vegetation, this chapter. Most riparian habitat on public lands in the EIS area is associated with small streams having narrow flood plains and distinct riparian zones. These zones are far more important to wildlife than their total acreage would indicate. They make up the smallest RIPARIAN AREAS ARE IMPORTANT TO NEARLY ALL WILDLIFE SPECIES Riparian habitat provides food, water, and escape cover. Riparian areas run through all of the other vegetative types but occupy less area than any other. They provide early spring forage for herbivores before the surrounding tree-covered hillsides begin producing food. In late summer and early fall riparian areas are important because perennial streams are the only source of water. Smaller nongame animals use the thick heavy vegetative cover to escape predators and to reproduce and rear their young. Riparian areas also provide them with a cooler, moister habitat during summer. 30 — ROYAL GORGE ENVIRONMENTAL STATEMENT percentage of all zones but provide at least some habitat requirements for nearly all wildlife species inhabiting the EIS area. Riparian habitats provide water, food, escape cover, sites for reproduction and rearing young, and travel routes for species associated with adjacent habitats as well as riparian species (Ames, 1977). Because of the larger amount of vegetation produced in these areas, the early greenup, long growing season, and relatively flat terrain, they are attractive sites for livestock, wildlife, and most human activities. Wildlife habitat in riparian areas is the most adversely impacted habitat type in the EIS area. Cattle grazing and other human activities have resulted in production far below potential and below the needs projected for wildlife. Mountain Shrub-Associated Species The mountain shrub type is a transition zone between the conifer type and the grassland type. Typical wildlife species of the mountain shrub type are mule deer, coyote, magpie, red-tailed hawk, pinyon jay, western bluebird, least chipmunk, Colorado chipmunk, rattlesnake, and mountain lion. Big game such as mule deer typically use these areas as winter range. South-facing slopes which are free of snow and contain large numbers of browse plants are mule deer winter habitat. Food produced here is usually abundant and diverse. Acorns, seeds, grass, browse, and forbs provide food for many species of wildlife. Water is scarce in the mountain shrub type but usually can be found in adjacent drainages. During winter, snow is a source of water. During summer, lack of water in an adjacent drainage can limit use of this community by wildlife. Cover on these types is usually good. The terrain is typically rolling hills dissected with ravines and dry washes. Scattered conifers provide nest sites, shade, and escape for many species of wildlife. Dense stands of brush provide escape cover and nesting sites as well as food. These areas are typically crossed with trails which wildlife use to travel from water to heavy or thick cover. Since mountain shrub is a transition type, species found there also use adjacent habitat types as well. Conifer-Associated Species A large variety of wildlife species occupy conifer habitats (pinyon-juniper, ponderosa pine, fir, etc.) at some time in their lives but few spend their entire life cycle there. Conifer sites are important for nesting, denning, rearing of young, protection from weather, and escape from predators. Typical species of the conifer type include turkey, elk, mountain chickadee, Stellar jay, Aberts squirrel, porcupine, and goshawk. A variety of factors is altering the composition, health, and stability of wildlife populations using these habitats. Beneficial changes are occurring where firewood cutting, timber harvest, and pine beetle infestations are opening up many of the dense conifer stands, creating a greater edge effect and diversity of understory vegetation and promoting a more varied faunal mixture. Detrimental changes for wildlife are happening as a result of rural home building, subdivision, and to some extent drought making inroads into conifer sites. Conifer habitats in the EIS area normally support little wildlife because so much of their production is tied up in standing biomass and the shade from trees and other tall vegetation reduces understory production. Grassland-Associated Species Grasslands in the EIS area are in generally poor condition, as manifested by low plant vigor, low plant composition and density, and low production. The gradual downward trend is continuing. Typical species of the grassland type include Richardson's ground squirrel, prairie dog, jackrabbit, mourning dove, western king bird, horned lark, tree sparrow, and antelope. Next to riparian species, those dependent on grasslands have been more drastically impacted than those associated with any other type of habitat. Changes in quality and amount of production as well as reduction or depletion of such important vegetative species as western wheatgrass and Indian ricegrass have diminished wildlife production, health, and species diversity. Degradation is largely due to urban development, livestock grazing, off-road vehicle use, roads, and powerlines. Water, an important element of grassland habitat, is generally adequate in quality but dependability of supply and distribution are lacking on many summer- fall ranges. Threatened and Endangered Animals Between 10 and 30 bald eagles winter in the EIS area. They primarily occupy private and state land. Peregrine falcons are suspected of occupying the area during breeding season, but there have been no verified sightings in the last 5 years. Past nesting sites are monitored each year. The EIS area potentially is habitat for the black- footed ferret, grizzly bear, and gray wolf but there have been no confirmed sightings for at least 30 years. Implementation of any of the grazing management alternatives would not affect the abundance or distribution of any threatened or endangered species of wildlife. AQUATIC RESOURCES Within the Royal Gorge Grazing EIS area, aquatic resources consist of 44 streams covering 109 miles and 11 reservoirs with 251 surface acres. The Arkansas River is the main fishery, accounting for 70 percent of fish production. Approximately 40 miles (38 percent) of the river flow across public land. The remaining fisheries are small feeder streams to the Arkansas or South Platte Rivers. The feeder streams are important mainly as Spawning grounds (Map 3-6), which are crucial to brown trout production because the Arkansas River is not stocked with brown trout by the DOW. The DOW does stock rainbow trout regularly. Approximately 10 percent of the length of feeder streams for the Arkansas River is on public lands. There are 11 reservoirs partly on public land whose fisheries receive regular stocking by DOW. Approximately 70 percent of the fish production in these lakes is from DOW stockings. Grazing does take place on public land adjacent to two of these lakes but effects have been determined to be negligible. grasses, and trees. MIXING OF HABITAT TYPES BENEFITS WILDLIFE Where two or more habitat types meet is called an edge; the beneficial effect of this occurrence on wildlife is called the "edge effect." in the mountain shrub type, water in riparian areas, and find cover in pinyon-juniper. They can acquire all of their needs in one small area. the chance of predation is greatly reduced. In this photograph, pinyon-juniper is intermingled with grassland parks. rounding rolling hills are covered by shrubland which contains a mixture of shrubs, Animals can acquire food They expend less energy and The sur- R-82-w R-81-w R-80-w R-79-w N V -- R-78-w Twin Lakes | Twin La Fºnor —. clear cººki wº Clear Creek Reservoir - -j-Nºr-I-Rºt | Pik E N AT To NAL | - FOR Es T. R-77-w R-75-w R-74-w R-71-w R-70-w CHAPTER THREE – 31 R-69-w R-6e-w R-67-w O L_1 L^ Scole in EXCELLANT GOOD FAIR POOR CRITICAL SPAWNING AREAS to --1-1–1–1–1–1–1–1–1–1–1– Miles MAP 3-6. AQUATIC HABITAT PROFILE RATINGS 15 | l W ------ ++. G . (3) - IT º r- = 1. l. Rampart Reservoir T-12-5 | *#) T-13-s - * c ------- Luis Mariº Bºc- Grant Wo. 4 A y T-41-N T-40-n T-39-N | -------- ſ st --tº- l Wilson Reservoir Ø º | T-15-5 _l t-tº-3 T-17-3 T-10-3 Q º T- © º - T-10-3 .*..... - - ~ º ſ \ | - T-21-5 T-22-5 T-24-5 - |- - - - | ſº `s --— T-26-s N T-27-5 T-29-s 32 – ROYAL GORGE ENVIRONMENTAL STATEMENT In the Summers of 1977 and 1978 all Streams on public land were inventoried and rated for stream profile. Reservoirs were also inventoried and rated for fish habitat Condition. In the BLM stream profile rating system, five factors (i.e. Stream cover, streambank condition, streambank stability, stream channel stability, and sedimentation of streambed) are evaluated to indicate the physical, chemical, and biological characteristics of a stream. Application of these factors in the profile rating system is illustrated in Appendix D. The system produces a condition rating for each fishery as excellent, good, fair and poor. The inventory also produces a reading of apparent trend, which is the direction of habitat toward a different condition rating. Based on the inventory, 49 percent of the miles of streams on public lands is in good or excellent condition (Appendix Table D-2) (Map 3-6). However, 87 percent of that amount is on the Arkansas River where conditions are not influenced by livestock. Streams influenced by livestock are small and generally in either poor or fair condition (Table 3-2). All are on lower reaches of the Arkansas system below Salida. The trend for aquatic habitat on 51.5 miles of stream is stable while 56.3 miles are declining in condition and only 1.5 are improving. The Arkansas River accounts for 78 percent of aquatic resources in stable condition (Appendix Table D-2). Stream shading is a critical component of fish habitat, providing protection from warming by the sun. Adequate stream shading is due primarily to woody riparian vegetation and to a lesser extent herbaceous vegetation. Vegetation also provides food for riparian- associated species and fish and has a stabilizing effect on soils. Livestock feeding on herbaceous and woody vegetation during critical growth stages can severely harm riparian habitat (Garul and Bissell, 1978). Streambank condition is judged by the amount of exposed soil, the more exposed soil, the worse the condition. Soils not stabilized by vegetation are washed away during periods of high runoff and deposited as Sediment in stream beds. When livestock continually graze riparian vegetation during the growing season, it loses vigor and is less effective in holding soil. The percent of streambank that is eroding away along its length is a measure of streambank stability, which is an important factor in fish habitat because banks provide cover. The erosion of streambanks caused by vegetation decline can be intensified due to livestock trampling. Fifty to seventy percent of the small feeder streambanks On the lower Arkansas system has been damaged by trampling. Unstable banks yield large volumes of sediment which cover food sources and smother fish eggs, hampering reproduction and survival. Streambed Sedimentation, therefore, is another factor that can be Observed and used to rate the relative health and productivity of streams. These factors directly influence another measure of the health of streams, stream channel stability. This is the percent a channel "moves" or changes its meanderings within its high watermark. The more a channel moves, the less pooling and riffling occurs along its length. Pools and riffles are important for high quality fish habitat, providing, respectively, resting areas and feeding and spawning areas. Feeder streams in the lower reaches of the Arkansas have heavy livestock use and exhibit frequent channel movement. Most Streams above Salida have less livestock use and are relatively stable. Fish production varies with habitat condition. The streams in excellent condition have an average TABLE 3-2 AOUATIC AND RIPARIAN PROFILE RATINGS ON STREAMS AFFECTED BY LIVESTOCK GRAZING |N ROYAL GORGE E.I.S. AREA Stream Miles Profile" Stability Stream Name On Public Land Rating Rating Tarryall Creek 3/4 Fair Declining High Creek 1/3 PO.Or Declining Sheep Creek 1/4 Fair Stable Salt Creek 1/4 POOl' Declining Pruden Creek 1/4 POOr Declining Currant Creek 3 POOr Declining Box Canyon 2 1/2 Fair Declining Fourmile Creek (Shelf Road Area) 3 1/4 POOr Declining Beaver Creek 1/2 Fair Stable Eightmile Creek 8 Fair Declining Cottonwood Creek 6 Fair Declining Tallahassee Creek 2 1/2 PO.Or Declining Texas Creek 3 Fair Declining Fourmile Creek (Buena Vista Area) 1/4 Fair Stable Little Cochetopa Creek 1/2 Fair Stable Bear Creek 3/8 Fair Stable West Creek 1/8 POOr Declining Hamilton Creek 2 Fair Declining Big Cottonwood Creek 3/4 Fair Declining Muddy Creek 1 Fair Stable Palo Durc Creek 3 1/4 Fair Declining May Creek 1 1/4 Fair Declining Pass Creek 1/8 PO.Or Declining N. Abeyta Creek 3 1/2 Fair Stable S. Abeyta Creek 1/4 Fair Stable Totals 6.1 Fair Stable 27.5 Fair Declining 9.8 POOr Declining "See Appendix D for explanation of classification system production of 85 lbs/acre, streams in poor condition, 25 lbs/acre (Worm, 1978). RECREATION The main recreational resource in the EIS area is the Arkansas River. The river and adjacent land support a gamut of activities including rafting, fishing, picnicking, camping, wildlife viewing (particularly bighorn Sheep near the lower end of the Arkansas Canyon), and geological viewing. Actual visitor use data for this area are not yet available, but an estimated 500,000 visitor-days occur on these lands annually. Of primary recreational concern in this EIS are hunting and fishing resources. Approximately 8,359 big game hunter-days are attributable to public lands (Appendix E) and 122,979 fishermen-days. Most of the fishermen days are spent on the Arkansas River. Most of the streams in the area have only a small amount of public land adjoining, but small feeder streams such as Badger Creek, Texas Creek, and Fourmile Creek (near Canon City) on these lands annually receive about 800, 300, and I,200 visitor-days, respectively. Other streams such as Grape Creek and Pass Creek have potential as fisheries, but due to destruction of habitat presently have little or no sport fish. Public lands along these tributaries annually receive approximately 225 and 180 visitor-days, respectively. Deer, elk, and antelope hunting in the EIS area contributes approximately 0.4 percent of the statewide harvest of each of these animals. Bighorn Sheep, On the other hand, provide 10-15 percent of the state harvest. The Colorado Division of Wildlife (DOW) has projected overall hunter pressure (demand) to rise for the next 5 to 10 years. Consequently, public lands will play an even more important role as a hunting resource. If the present trend continues, game (particularly big game) numbers will not keep pace with hunter demand. Hunting also generates supplementary but unknown amounts of recreational activities such as four-wheel drive use, motorcycle use, hiking, camping, and picnicking in undeveloped areas. Public lands with unique primitive values and characteristics include the area around Beaver Creek, which covers approximately 12,000 acres and is characterized by extremely rough, steep terrain. Most visitor use occurs along the west and east forks of Beaver Creek, which are administered by DOW. Brown's Canyon near Salida also contains similar values. Other lands in the EIS area lie within wilderness inventory areas and are proposed for management under special guidelines. ECONOMICS AND SOCIAL VALUES The EIS area includes all or portions of eight counties in Colorado. Excluding Colorado Springs and CHAPTER THREE – 33 TABLE 3-3 RANCH SIZE AND INCOME EFFECTS Average BLM Cattle Number of AUM Use Gross Revenues Net Revenues' Non-Ranching Income Model (Head) Ranches Per Ranch Per Ranch All Ranches Per Ranch All Ranches Per Ranch A|| Ranches 1 1 to 199 72 190 $ 16,401 $1,152,072 $ 352 $ 25,344 $12,807 $ 922,104 2 200+ 21 260 $129,908 $2,728,068 $34,449 $723,429 $21,758 $ 456,498 Total 93 $3,880,140 $748,773 $1,378,602 Source: Effect of Federal Grazing on the Economy of Colorado, a draft report, Departments of Range and Economics, Colorado State University, 1978. "Excludes depreciation and owner operator labor costs. TABLE 3-4 suburbs the EIS area is predominately rural. The DEPENDENCY ON PUBLIC LANDS estimated total population for the eight-county area is FOR LIVESTOCK GRAZING 355,900 (1978). For the purpose of analysis in this EIS, ROYAL GORGE EIS AREA El Paso County will be excluded because so little area within it is actually affected. With this exclusion the estimated total population in the EIS area is 65,900 Breakdown 0 to 199 Head 200+ Head Total (USDI-BLM, RGRA, PAA, 1978). by Percent Number Percent Number Percent Number Percent Social and economic impacts of livestock grazing On public lands appear relatively insignificant when * § !. . : º º : : Compared to the EIS area economy and society as a 21 to 30 6 8 2 10 8 9 whole, but are relatively important to individual ranch tº ſº tº it. * 31 to 40 8 11 8 9 operators and families of those holding BLM grazing privileges. Therefore, whenever possible, socio- 41 to 50 7 10 7 8 economic analysis will concentrate on this microcosm 51 to 60 3 4 3 3 of ranch operators and their families. 61 to 70 71 to 80 Of the 368 units making up the Royal Gorge EIS 81 to 90 91 to 100 1 2 1 1 Area, 77 units would be managed intensively; of the remaining, 278 units would be managed nonintenively tº-º-º-º: tº-º-e *-ºſ e cº-º-º-º- tº-e tº Eº-º-º-º: and 13 would not be allotted for grazing. On the 77 units 93 different operators run cattle and horses Total 72 100 21 100 93 100 during all or part of the grazing season. Only impacts associated with intensive 1 e & e & º & management on the 77 units will be treated in this and Based on information provided by livestock operators for grazing case files, Royal Gorge Resource Area the other socio-economic sections of the statement. Office Nonintensive management will not be discussed because there are essentially no changes in actual TABLE 3-5 practices and therefore no impacts on livestock Operators. PERSONAL INCOME BY MAJOR SOURCES CONSTRUCTION – 1976 Income Government All Industries County ($1,000) ($1,000) Ranch income Chaffee 2,804 31,144 Custer 1 14 96 Impacts on ranch income in the EIS were based on . º º: a study by the Range and Economics Departments of L . aſ O 815 7401s Colorado State University at Fort Collins, Colorado, of a Ke 3,777 ranch operations in Southeast Colorado, including the Park 480 y Royal Gorge Resource Area. This study delineated Teller 1,509 9,438 "typical" ranch budgets (Appendix F) (Bartlett et al., Total - 7 Counties 10,082 197,829 1979). Ranching operations were separated into two Categories (or models) by herd size. Table 3-3 shows - Colorado 924,158 13,032,345 the effects on income from cattle ranching for operators directly affected by BLM-administered Percent 1.09 1.52 grazing within the Royal Gorge Resource Area. Both models show nonranching income to be important to . operator livelihood, especially for the smaller Source: Bureau of Economic Analysis, Personal Income By Major perators (Model 1). Sources 1976, USDC Over two-thirds of the ranch operators are dependent upon public lands for less than 20 percent Construction Income construction-related industries for 1976 in the Seven- of their total livestock forage (Table 3-4). However, county region totaled $10,083,000 (U.S. Department of dependency is largely seasonal. Operators depend on Commerce, Bureau of Economic Analysis, 1978). This public lands for spring forage, making their availability Implementation of all but the No Action Alternative was 5.1 percent of total personal income for the region a critical factor in ranching viability. would require some construction. Personal income for (Table 3-5). 34 – ROYAL GORGE ENVIRONMENTAL STATEMENT * TABLE 3-6 Government Income PERSONAL INCOME BY MAJOR SOURCES GOVERNMENT – 1976 In 1976, government employment (Federal, state, and local) in the seven-county region accounted for $45,533,000 of personal income (USDC Bureau of Government All Industries Economic Analysis, 1978). This is 23 percent of total County ($1,000) ($1,000) 1976 personal income in the region (Table 3-6). Chaffee 9,536 31,144 Employment Custer 697 96 ploy Fremont 19,001 67,658 Huerfano 4,035 11,698 The labor force increased in the seven-county Lake 6,302 * region from 18,096 (U.S. Census, 1970) in 1970 to 28,255 Park 2,601 9488 in 1978 (Colorado Department of Labor and Teller 3,261 9. Employment, 1978). This constitutes an increase of tº 10,159 in the labor force during this period. As of June Total - 7 Counties 45,433 197,829 1978, there were 1,990 or 7.0 percent of the labor force unemployed. Total - Colorado 2,910,073 13,032,345 Percent 1.56 1.52 Government Finance and Tax Base Livestock Carried On ranches are considered property for purposes of local and county property taxes. Livestock stocking level is also a factor determining the market value of ranches. Changes in BLM grazing management could ultimately affect future assessed valuations and market values. The 1978 assessed valuation for the seven-County region was $353,056,260 which, when applied to the total average county mill levy of 61.19, produced a total revenue of $21,604,924 (Colorado Division of Property Taxation, Department of Local Affairs, 1978). Cattle were valued at $1,702,690 for the seven-county region in 1978, or .0048 percent of total assessed valuation. On an average mill levy of 61.19, all cattle in the sevencounty region contributed $104,188 in property taxes. Social Values The public attitudes and social values in the Royal Gorge EIS area traditionally have been conservative, that is, in favor of the status quo, especially regarding attitudes toward land management and planning for privately-owned resources. Many people feel that the owners of resources have a constitutional right to use them as they see fit and that controls on the use and dispostion of resources are unwarranted and unconstitutional. For ranchers this idea carries Over to land they lease from the Federal government, in conflict with the government's right to eminent domain and with the traditional right of the community to control property and resources to protect itself from what is viewed as harmful in individual control. From the point of view of social well being, this change in public attitudes toward the acceptance of local controls is positive, but continued resentment of Federal controls from "outside" agencies (i.e., BLM) is negative. The continued resentment is engendered by the economic dependence of ranchers on BLM lands and tends to undermine a desirable basic trust relationship. The major land use trend in the EIS area is Conversion of range, forest, and agricultural land to mining development (i.e., uranium) and to rural subdivisions. Major land use changes in Park and Fremont Counties are coming in the conversion of pasture and agricultural land to mining areas. Notwithstanding this trend, overall social well being of the residents relative to land use is good. Although residents would prefer the land was privately owned, they apparently appreciate some regulation of mining development. Source: Bureau of Economic Analysis, Personal Income By Major Sources 1976, USDC WATER RESOURCES The area covered by this analysis is drained by two major rivers, the South Platte and the Arkansas. These rivers provide about half of the streamflow available for use on the eastern slope of the Colorado Rockies. Natural flow in both rivers is augmented by trans- mountain diversions from western slope streams. Three significant tributaries of the Arkansas join it many miles downstream from the eastern boundary of the area. These are the Huerfano, Cucharas, and Purgatoire Rivers. Their upper reaches are located in the southern part of the EIS area, in Huerfano and Las Animas Counties. The management of public lands has little effect upon the hydrology of these three streams because their watersheds exist principally on private, state, and national forest lands (BLM is 6 percent of total drainage area). Similarly, management of BLM land has little influence upon the South Platte River because there are only a few scattered tracts of public land in its watershed and, in most cases, are not directly tributary to that river. Water Quantity Both the South Platte and Arkansas Rivers (including the Huerfano, Cucharas, and Purgatoire) are fed primarily from snowmelt in the high mountains. Figures 3-1 and 3-2 illustrate how the influence of snowmelt in the headwaters of the Arkansas near Malta is transmitted downstream all the way to the gaging station at Portland (over 120 miles). The hydrographs presented in these figures are representative of the other major streams within the EIS area. In contrast, most runoff produced from BLM lands comes from intense rainfall, usually in the form of flash floods. With few exceptions, channels draining public lands are normally dry. To put things in perspective, annual runoff from public lands in the Arkansas drainage is estimated to be less than 1 percent of the Arkansas River's total volume of Streamflow. This estimate is based on the SCS Flood Hydrograph method. Water Quality Both the Arkansas and the South Platte Rivers are high quality streams supporting cold water fisheries. Generally, the quality of water is poorest during spring and early Summer when snowmelt swells rivers and flushes accumulated sediments from tributary channels. On the Arkansas, for example, suspended sediment levels usually increase from low flow concentrations of 10 to 300 milligrams per liter (mg/l) to around 2,000 mg/l. Short-lived but more dramatic increases result from summertime flash floods on tributary drainages. For example, on August 7, 1968, suspended sediment at the Portland gage was measured to be over 9,000 mg/l, following heavy rains upstream. Water quality of streams within the EIS area gradually decreases downstream. In 1976 water samples analyzed for total dissolved solids (TDS) showed an average of 42 milligrams per liter at a station on Halfmoon Creek near Leadville. Samples taken from the Arkansas River 130 miles downstream, near Portland, averaged 292 mg/l. Similar situations are likely in other streams, although no data exists to Substantiate this. It is not known how much of this increase in TDS is related to management of forest and rangelands, but a large part of the increase is probably due to irrigation return water and natural geologic conditions (water flowing over soluble geologic formations). The occurrence, quantity, and quality of ground water within the EIS area are highly dependent upon geologic conditions. The principal Sources of ground water are valley alluviums, basin fill deposits of the Wet Mountain Valley, and Mesozoic sedimentary formations. The remainder of the area is underlain with a complex variety of older sedimentary, metamorphic, and igneous rocks. Ground water originating from and underlying most BLM lands occurs as a result of fracturing and weathering. Although the total amount of ground water within the EIS area is unknown, it exceeds several million acre-feet. A recent Geological Survey study (1978) estimates there are over 1.5 million acre-feet in the Wet Mountain Valley alone. . . FIGURE 3-1 TYPICA L ANNUAL HYDROGRAPH HALFMOON CREEK NEAR MALTA , COLOR ADO (Drainage Area; 23.6 sq. mi.) CHAPTER THREE – 35 FIGURE 3-2 TYPICAL ANNUAL HYDROGRAPH A R KANSAS RIVER AT PORT LAND , COLORADO (Drainage Area; 4024 sq. mi.) ISO 3000 I 40 -:424- 144.0. 1 30 2500 * 1 20 1 1 0 sº † * 100 2000 | } i ~5 ſº 90 c § | C/D 5 C- 80 ~ º ſº- | .E 1500 l -C -: 7 J Q tº- | $º | 60 +: | *S | 13 50 1 000 XXX XXXX º 40 i –49.9 23.8- | | 30 i | | i S 00 - # . : 20 | | •) 5 | •) 10 206 | | 0 0– || || OCT NOV DEC JAN FEB M A R A PR MAY JUNE JULY AUG SEPT OCT NOV DEC JAN FEB M A R A PR MAY JUNE JULY AUG SEPT Months of the Year The quality of ground water is generally very good with no known sources unsuitable for stock water. Some of the Mesozoic sedimentaries, however, Produce water high in hardness and TDS. This water is Suitable for irrigation, wildlife, or stockwater, but marginal for human use. - The greatest consumptive use of water in the area ls for irrigation and almost all of these needs are Supplied by surface water. Over 400,000 acres are irrigated from the average annual flow of about 700,000 acre-feet. Municipal and industrial use account for most of the remainder. Ground water is used for ºrrigation, municipal, domestic, and stock water Purposes but in much smaller amounts. BLM consumptive uses are miniscule compared to the total water supply and to uses by others. ^pproximately 45 acre-feet per year are withdrawn from ground water for livestock, wildlife, and Tecreational purposes (campground water supplies). ^nnual use of surface water by livestock and wildlife is °stimated at 5 acre-feet based on water requirements 9' 12.5 gal/day and 3 gal/day per animal, respectively (see wildlife and livestock sections for present Tumbers of animals). Total ground water has been es timated at millions of acre-feet, the annual surface Water supply at 700,000 acre-feet. CULTURAL RESOURCES Archaeology Known archaeological resources were identified in the following manner. 1. Data was gathered in a Class 1 inventory which is continuing by BLM personnel. 2. The State Historic Preservation officer has been consulted and the Colorado State Inventory (Master Preservation Plan) has been researched. 3. Individuals with knowledge of the EIS area archaeological resources were contacted. 4. A research team from the University of Northern Colorado currently doing a stratified random inventory of the Raton Basin, which includes part of the EIS area, was contacted. Of the 680 archaeological sites identified in the EIS area, 15 appear to qualify for the National Register and will be nominated; 3 additional sites will be investigated further to determine eligibility. The Brown's Canyon portion of the Arkansas River has potential to qualify as an Archaeological District. All of these sites are identified in the Unit Resource Analyses Months of the Year (URAs) for both the Raton Basin and the Royal Gorge Planning Areas. Types of sites found throughout the EIS area include: rock art, kill sites, various structures, "processing" sites, "general" camps, lithic and quarry sites, tipi rings, wickiups, battle grounds, trails, vision guest locations and a paleo-astronomic observatory. All types of sites have been damaged by livestock (Carmichael and Loendorf, 1976, Fuchs, Kaufman and Roney, 1977; Johnson, 1977; Gordon 1978, Litzinger, 1975; Roney, no date). Roughly 4 percent of the EIS area has been inventoried. At least 50 percent of those sites located in the Royal Gorge Planning Area are known to have been disturbed by vandalism, erosion, or livestock. Similar conditions exist in the northern third of the Raton Basin Planning Area. Historic Resources The principal period of Euro-American settlement in the Royal Gorge area occurred between 1859 and the turn of the century, encouraged chiefly by the discovery and subsequent development of various and substantial metal ore deposits. 36 — ROYAL GORGE ENVIRONMENTAL STATEMENT Gold exploration brought tens of thousands of people to the northwest section of South Park and to the headwaters of the Arkansas River between 1859 and 1865. Camps such as Tarryall, Hamilton, Jefferson City, Buckskin Joe, Fairplay, and Oro City were established. Silver mining during the 1870s and 1880s resulted in the re-emergence of several gold camps and led to the creation of new town sites such as Alma, Park City, Montgomery, Granite, and Leadville, the most spectacular of the state's silver boom towns. In 1879, over $11,000,000 worth of ore was taken from Leadville's mines, and by 1880, the carbonate camp ranked second, only to Denver, in population. The decline of silver mining, during the 1890s, resulted in a second wave of gold prospecting and the emergence of another boom town. From its initial discovery, in 1891, to 1920 the mines of Cripple Creek produced more than $300,000,000 worth of gold ore. In 1900, gold production in the Cripple Creek district was valued at $18,000,000 and the population was estimated at between thirty and fifty thousand. A significant outgrowth of this mining activity was the construction of major railroad lines to the important mining regions. From 1880 to 1887, Leadville was linked to eastern terminals by three roads, the Denver and Rio Grande (D&RG), the Denver, South Park and Pacific (DSP&P), and the Colorado Midland railroads. The Florence and Cripple Creek, the Midland Terminal, and the Colorado Springs and Cripple Creek District railroads had all reached Cripple Creek and Victor by 1901. Railroad construction spurred the advancement of population centers dependent on activities other than precious metals mining. Canon City, founded in 1859 as a supply town for the mountain mining camps, also developed into a coal mining and fruit growing center by the 1870s. As major stops on the route to Leadville, Canon City and nearby Florence prospered from D&RG traffic along the upper Arkansas River valley after 1880. Florence became a center for regional ore reduction following the completion of the Florence and Cripple Creek Railroad in 1894. By the 1890s, Communities such as Hartsel, the center of South Park's cattle industry, Salida, and Buena Vista were provided access to front range and eastern markets through rail transportation. As the twentieth century progressed, precious metals mining declined in emphasis and a more diversified economic base became established in the Royal Gorge area. Sheep and cattle ranching, practiced in South Park and at sections along the upper Arkansas valley prior to 1900, increased in significance as the mining activity and interest of the previous decades subsided. Fruit growing in Fremont County, particularly in the Canon City area, experienced similar development. Tourism and outdoor recreation were important if only seasonal parts of the region's economy. Mining subsequently faded somewhat from the historical picture, but not entirely. Coal and oil production remained important for a time in the Canon City-Florence area. Mineral extraction also experienced a marked change. Cement manufacturing at Portland and Concrete, begun at the turn of the century, promoted the mining of lime, silica, iron, and gypsum. The Climax Molybdenum Company, with operations north of Leadville, was the world's largest producer of a rare metal, molybdenum, from 1924 to 1946. By the late 1940s, uranium mining and milling. began taking place near Canon City. Upon consultation with the State Historic Preservation Officer (Colorado State Historical Society, 1967), and the National Register of Historic Places, February 6, 1979, and supplements listed to November 13, 1979, it was found that several sites TABLE 3-7 SITES LISTED ON THE NATIONAL REGISTER OF HISTORIC PLACES (SITES THAT HAVE BEEN DETERMINED ELIGIBLE FOR INCLUSION ON THE NATIONAL REGISTER) FOUND IN THE EIS AREA Site Name" County Type of Site Impact Location Grace Episcopal Church Chaffee Historic None In Buena Vista, CO Littlejohn Mine Complex Chaffee Historic None Vicksburg Mining Complex Chaffee Historic None Hutchinson Ranch Chaffee Historic None Ohio-Colorado Smelting and Refining Company Smokestack Chaffee Historic None Hope Lutheran Church Custer Historic None Pioneer Cabin El Paso Historic None Dexter Cabin Lake Historic None In Leadville, CO Healy House Lake Historic None In Leadville, CO Interlaken Resort District Lake Historic None South Park Community Church Park Historic None In Fairplay, CO South Park Lager Beer Brewery Park Historic None In Fairplay, CO Summer Saloon Park Historic None In Fairplay, CO 'Federal Register, February 6, 1979 and subsequent volumes through November 13, 1979 (Table 3-7) have been entered on the Register or are eligible for entry on the Register. None of these sites would be affected by any of the alternatives. Paleontology Paleontological resources have been observed in several geological formations in the EIS area. The most significant formation producing dinosaur fossils is the Morrison formation of the Jurassic age. The Denver Museum of Natural History is currently excavating and salvaging dinosaur remains in the Fourmile area, unit 147. Results from this excavation are not available. VISUAL RESOURCES The EIS area is located in the Southern Rocky Mountain physiographic region. Public lands within the EIS area lie between river bottoms and the higher coniferous forests. Exceptions are the Cripple Creek, Waugh Mountain, Kerr Gulch, and Leadville areas, where public lands include high forested ridges. Public lands in the EIS area are characteristically diverse. They include narrow river bottoms, alluvial fans, eroded foothills, flat-topped mesas, and rolling ridges. Vegetation includes aspen, fir, ponderosa pine, pinyon, juniper, mountain shrubs, mixed brush, and grasses. The vegetation is closely related to elevation and exposure (see Vegetation, this chapter). All landscapes have an identifiable character, regardless of size, location, or land use. This character is determined by the relationships between four basic elements: Color, line, form and texture. The dominant colors in the EIS area, which vary with the weather and the time of day and year, are the browns, reds, and greys of soils and rocks and the greens, yellows, reds, and browns of vegetation. Occasional blues, greens, and browns are added by the presence of water. . Lines are distinct in the layering of soils, changes in vegetation types, along ridge tops, and in drainage patterns. Form or topography varies from sheer-walled Canyons to flat-topped mesas. Texture results from the different vegetative types and erosion patterns. The relationships of these four basic elements in the four landscape features soil, water, vegetation, and structures—give the EIS area a general landscape character of natural ruggedness, remoteness, and openness. The area is visually quite vulnerable to culture modifications—any changes to the natural landscape resulting from the activities of man. Those having the greatest visual impact are associated with early mining activities, development of ranches and farms, recent energy exploration and development and their related service facilities, and railroads. Fences are probably the most common intrusion. Fences that were built by brushing out the fence line with a bulldozer are the most Obvious. Sharp lines have also been created by vegetation manipulation projects such as chaining, spraying, or plowing followed by seeding along powerline rights- of-way. These clearings and associated powerlines are noticeable near Canon City, Wellsville, Salida, and Leadville. The magnitude of visual intrusions on public lands at present is low in comparison to total area and to private lands within the EIS area. This is due primarily to the ruggedness and remoteness of the public lands, management restrictions, population distributions, and the vast acreage involved. Visual Resource Management (VRM) classes have been established for the public lands. The manner in which they are determined is explained in BLM Manual Section 8400. Each VRM Class describes a different degree of acceptable modification in basic elements (form, line, color, and texture) of the landscape. The classes are therefore the basis for determining whether or not a modification would result in a visual impact and, if so, what appropriate mitigating measures would be required. Information on the visual classes determined for the EIS area are available in the Royal Gorge and Raton Basin Management Framework Plans. - FORESTRY Present estimated sustained yield of forest products is 1.1 million board feet per year (mbf) of saw timber and 1.0 mbfoſ woodland products. Saw timber is usually obtained by commercial thinning and a few clearcuts on about 600 acres. Ponderosa pine, lodgepole pine, Douglas-fir, and Englemann spruce provide the saw timber. An estimated 800 acres of pinyon and juniper is thinned each year to harvest woodland products. In the long term (20 years) there would be about 20,000 acres of coniferous forest in a regeneration state each year that would be susceptible to damage by livestock grazing. WILDERNESS Eight units are currently being intensively inventoried for wilderness characteristics. Six of these units have over 5,000 acres of roadless land. The High Mesa Grassland Natural Area is required by Section 603 of FLPMA to automatically become an Instant Study Area, while the Crystal Falls unit is being considered because it adjoins Forest Service lands being considered for wilderness (Table 3-8). The Colordo BLM State Director will make a decision by February 1980 on which land will be returned to multiple use management. After a period of public comment On his decision, a final decision will be made on which lands should be returned to multiple use management, sometime around September 1980. Lands not released to multiple use management (Wilderness Study Areas) will receive interim management to protect wilderness values until Congress makes the final decision on their status. FLOOD PLAINS/FLOOD HAZARD EVALUATION Flood hazard depends on the amount of human occupancy in conjunction with the probability of a flood-inducing storm. Virtually every perennial and ephemeral stream channel in the entire EIS area is subject to flash flooding. Changes in grazing management would have virtually no effect on the susceptibility of these streams to flooding because their influence would be enormously overshadowed by that of geology, topography, and the characteristics of localized storm occurrence. Changes in flood runoff attributable to each alternative are indicated by unit in Appendix G. TABLE 3-8 CHAPTER THREE – 37 INTENSIVE WILDERNESS INVENTORY UNITS Inventory Unit No. and Name Approximate Acreage General Location CO-050-002 6,468 Brown's Canyon CO-050-009 680 High Mesa Grassland CO-050-013 15,063 McIntyre Hills CO-050-014 10,937 Lower Grape Creek CO-050-010 12,950 Bear Mountain CO-050-016 21,140 Beaver Creek CO-050-017 11,080 Upper Grape Creek CO-050-033 160 Crystal Falls Total 83,868 South of Buena Vista (Chaffee County) Northwest of Canon City High Mesa Instant Study Area (Fremont County) Southwest of Canon City (Fremont County) West of Canon City (Fremont County) North of Cotopaxi (Fremont County) Northeast of Canon City (Teller, Fremont & El Paso Counties) Southwest of Canon City (Fremont & Custer Counties) Southwest of Westcliffe (Custer County) AIR OUALITY Air Quality throughout the EIS area is good. Low populations and lack of extensive manufacturing and industry account for reasonably good quality air. The EIS area lies within Colorado Air Quality Control Region 4 and air pollution data is based on nondesignated area standards. Sampling in Canon City over a 1-year period (1976) showed suspended particulate matter at a mean of 56 micrograms per cubic meter (ug/m3) (Colorado Air Pollution Control Commission 1977), which is below the 75 ug/m Federal primary and state standards. Canon City is the only recording station located in the EIS area. Due to insufficient data, no conclusions nor further observations can be accurately projected concerning air pollution problems in the EIS area. No significant deterioration of air quality is expected from range management activities in the EIS area, however. 38 – ROYAL GORGE ENVIRONMENTAL STATEMENT CHAPTER 4 ENVIRONMENTAL CONSEQUENCES INTRODUCTION None of the alternatives would have impacts on minerals, lands, historic resources, wild horses, wilderness, climate, air quality, and threatened and endangered flora and fauna. For this reason they were not included in the following discussion. To avoid repetition, a full analysis of impacts appears only in the Preferred Alternative and brief summary discriptions of impacts are presented for the Other alternatives. There was no detailed study on which alternative would be the most efficient in conserving energy, but some general observations are possible. The Management Constraints and Elimination of Grazing Alternatives would require large amounts of fencing (2,000 miles and 10,000 miles, respectively) and therefore large expenditures of energy for COnStruction and maintenance. This would waste energy because fencing would yield few benefits to the grazing management program. The No Action and Nonintensive Alternatives would involve no rangeland projects and limited fencing, respectively, so implementation of either alternative would be conservative of energy but at the expense of resource development. The Preferred Alternative would require project development somewhere between the two levels described above. There would be optimum achievement of resource potentials in the long run and energy expenditure would fall somewhere between the higher level required in the Management Constraints and Elimination of Grazing Alternatives and the lower one for No Action or Nonintensive Management. From a resource development standpoint, the Preferred Alternative is more balanced than NO Action, Nonintensive, or Elimination of Grazing and equal to the Management Constraints Alternative. Description of impacts of the Preferred Alternative on resources follows, in order of diminishing consequence. This order is different from that of Chapter 3, Affected Environment, for which a different format is required. Long-term impacts for each alternative are summarized in Table 2-5 at the end of Chapter 2. ASSUMPTIONS AND ANALYSIS GUIDELINES 1. The Preferred Alternative would be implemented beginning in the spring of 1981. 2. BLM would have the funds and manpower available to implement the proposal. 3. Baseline data for vegetation condition, trend, and production is the most reliable data currently available. Available data was used whenever it was applicable and extrapolated to areas for which no data was available. 4. Licensed use was used instead Of active livestock qualifications in tabular displays. There may be a small difference between the two, but it was not deemed significant for the purpose of impact assessment. 5. Allotment Management Plans (AMPs) in the EIS area would be written during 1981-82. Site-specific Environmental Assessment (EAs), formerly called Environmental Assessment Reports (EARs), would be written to assess site-specific impacts of each AMP. 6. Construction of improvements (wells, springs, pipelines, fences, etc.) would be completed by September 30, 1986. 7. Implementation of AMPs and grazing systems would not be contingent on carrying out land treatments such as thinning, burning, plowing, etc. Land treatments would be carried Out On a timetable indicated in each AMP, which in many instances would extend beyond September 30, 1986. 8. Livestock operators would have up to 3 years to adjust their ranching operations and reach the moderate stocking level. Final levels of grazing use would be adjusted based on utilization studies and actual use data. 9. Forage increases over and above present livestock Qualifications would be allotted in future updates of the appropriate Management Framework Plan (MFP). Increases up to this point, indicated by annual utilization and actual use studies, would not require MFP updates. 10. Management of grazing would be done to guarantee forage on a sustained-yield basis. Reductions in grazing would produce short-term adverse impacts in terms of forage availability but eventually would provide better forage on a sustained- yield basis for livestock production. 11. Management status of some management units may change after implementation of the EIS. For example, during subsequent evaluations in future MFPs, some units managed nonintensively may be changed to intensive management. These changes would likely be minor with respect to their effect on overall impacts. Assessment of impacts is sufficiently general to allow for this type of change. 12. Short-term impacts are those that would occur 5 years after full implementation of the rangeland management program. Long-term impacts are those projected for 20 years after implementation. 13. AMPs, including land treatments and range improvement projects, would not be developed in intensive wilderness study areas until a final decision On their wilderness status has been made. 14. BLM will verify the level of impacts and monitor and evaluate AMPs after they are implemented so that necessary adjustments in those plans not meeting multiple use objectives can be made. 15. Proposed conifer thinnings complement forestry recommendations made in the Royal Gorge MFP and would be carried out under Supervision of RGRA foresters. PREFERRED ALTERNATIVE Impacts on Vegetation The Preferred Alternative would, in general, be beneficial to vegetation. Livestock would be more evenly distributed over suitable range and certain key species more desirable to livestock as forage would improve significantly in vigor and production in the Short term. Impacts on Vegetative Types Vegetative types would not significantly change as a result of grazing treatments or rest standards. Key species would recover vigor and complete their reproductive functions and the percent composition of key species relative to the whole vegetative community would increase slightly over the long term (Cook, 1979). Specific objectives for key species composition would be established when individual AMPs are developed. Vegetative types in poor condition may realize a change in dominant species, but a significant change would only occur over an extended term of 25 to 50 years. Implementation of a rest standard would allow desirable herbaceous species in riparian zones to regain vigor and production and increase in density. Vegetation immediately adjacent to streams would not be expected to improve, however, since livestock and big game would continue to trample and cause sloughing of the banks. Locally, this has been observed in the Texas Creek study area, prior to elimination of grazing there in 1976. In 2 miles of riparian habitat that would be fenced and in all exclosures woody species would be expected to re-establish themselves. Re-establishment in riparian areas that are not protectively fenced would be in doubt (see Vegetation). Plowing and seeding would convert 200 acres of shrubland to grassland. Burning would convert 4,900 acres of the Gambel oak subtype to a Gambel Oak- grass subtype. Dense conifer or pinyon-juniper (PJ) types on 18,530 acres would be thinned to encourage understory production (Carder, 1977). For example, a mature PJ stand would be thinned, creating a PJ- needle-and-thread-Indian ricegrass type as a result of understory response (Barney and Frischknecht, 1974). There would be a short-term loss of vegetation on 93 to 271 acres scattered over 159 sites and a long-term loss of vegetation on 47 to 152 acres due to construction of various range improvement projects. These losses would be very small and would be offset by benefits resulting from the improvements. For example, new water developments would be placed to attract livestock away from overused existing water sources, allowing areas around them to improve in vigor, composition, and production (Vallentine, 1971). A tabulation of rangeland treatments and facilities appears in Appendix Table B-5. Impacts on Condition Range condition would improve with proper management (Humphrey, 1962; Stoddart et al., 1975). Rate of improvement depends on the current vigor and percent composition of desirable plant species on rangeland (Humphrey, 1962; Vallentine, 1971). Five years or more are necessary for desirable plant species to regain enough vigor to produce seed at a normal rate; more time is needed in drier climates. Beyond this, several more years are necessary before an increase in percent composition of desirable plants would be noticed (Stoddart and Smith, 1955). Because of the generally poor range condition, scattered sporadic moisture patterns, and low vigor and percent composition of desirable species, improvement in range condition classes would not be anticipated during the long term (20 years) (McLean and Tisdale, 1972 by Trlica et al., 1977). Land treatments would expedite improvement in range condition. In some cases, land treatments would be used for partial conversion of the vegetative community to new vegetative types. In other cases, conversion would be complete. Land treatment for partial vegetation conversion (burning or thinning) followed by proper management would be expected to improve range to good condition. Partial conversion could achieve at least 50 percent composition of desirable vegetative species (Pase and Granfelt, 1977; Vallentine, 1971). Complete conversion through plowing followed by seeding would improve a site to excellent condition. Desirable vegetative species would reach over 75 percent of total vegetative composition. Such good results are likely because only sites with the highest productive potential would be chosen for land treatment (Stoddart et al., 1975). As a result of land treatment, 200 acres would be improved to excellent condition and 23,430 acres would be improved to good condition. Riparian zones would not improve in condition class. Increases in percent composition of herbaceous vegetation on the Texas Creek site might suggest the contrary but improved composition alone is not enough to improve riparian's condition class. Reproduction of woody riparian species would have to occur also, and it would not without a grazing exclosure. For range condition objectives, see Appendix B, Table B-1. Impacts on Trend Change in vegetative cover is commonly used as one of the basic indicators of apparent trend in range condition (Humphrey, 1962). Given a small change in cover, other indicators such as composition and reproduction will also show small changes in the same direction. For the purpose of analysis, cover was used as the major indicator of apparent trend. The predicted increase in total live vegetative cover of 2.7 percent is not large, but it is a significant increase (12 percent) over current total live cover. Given such a small change, significant improvement of apparent trend in range condition would not be expected within the 20 years that represents the "long term" for this EIS. Implementing proposed grazing treatments and rest standards would allow the vigor of desirable plant species to improve significantly in the short term (Stoddart and Smith, 1955). They are more competitive, long-lived, and adapted. If they are not continually overgrazed but are allowed to complete their physiological growth requirements their seedlings would eventually become established (Mueller-Dombois and Ellenberg, 1974). Downward apparent trend should at least be arrested and Stable condition achieved on 270,781 acres of public lands over the long term. Principally responsible for this change would be intensive management and elimination of grazing. Elimination of grazing on some units should stabilize condition there. Cover on the 77 intensively managed units would be expected to increase by 1 to 5 percent in 20 years (see Appendix Table B-2). Rangeland treatments followed by proper management could significantly increase ground CHAPTER FOUR – 39 is excluded (top photograph). NATURAL WOODLAND EXPANSION REDUCES PRODUCTION OF GRASSLANDS As pinyon and juniper become larger, they intercept more and more light and water. A duff layer of needles accumulates underneath, making the ground unsuitable for germination and growth of understory plants. As pinyon and juniper are removed (e.g., through burning and thinning) and the duff is broken up, water and light are allowed to reach the soil surface and understory plants receive sufficient light and nutrients to grow. Forage plants will predominate (lower photograph). Ultimately, most other vegetation cover on treated areas (Stoddart and Smith, 1955). These cover values could not be computed, however, because cover values used for analysis were a weighted average for an entire unit. Rangeland treatments and facilities would aid in improving livestock distribution and enhance the effects of grazing treatments, rest standards, and proper stocking levels on apparent trend. The apparent trend in condition of riparian zones would stabilize. Two years of nonuse on the Texas Creek site has shown that woody riparian species will not otherwise reproduce. Without reproduction of woody species condition of riparian zones would not improve (Platts and Roundtree, 1972). The establishment of continuing trend studies prior to implementation would allow at least 5 years to evaluate actual trend in range condition. Impacts on Production The generally low vigor of forage species in this EIS area is significantly affecting production. Ungrazed plants are two or more times the size of repeatedly grazed plants or, stated another way, production is less than half of potential. More precise data on production increases is not possible without specific measurement of relative plant size. Nevertheless, given the 5 years necessary for forage species to regain full vigor (Stoddart and Smith, 1955), production could double. The overall increase in production projected for public rangelands was 50 percent, however, because a large amount of vegetation on the surveyed range occurred on sideslopes, ridges, and mountaintops. This vegetation is not as low in vigor as that occurring on more accessible range so production could not improve as much (Stoddart and Smith, 1955). 40 – ROYAL GORGE ENVIRONMENTAL STATEMENT Rangeland improvement facilities would not be expected to increase production directly but would be supplemental in achieving the projected increase due to intensive management. Vegetative treatment of low forage-producing, high-potential sites (through plowing and seeding, burning, and thinning) would be expected to provide an additional 3,036 AUMs of forage (Wright, 1976, Vallentine, 1971; Carder, 1977). An overall forage increase from 7,031 AUMs to 13,582 AUMs would occur on intensively managed units in the long term. Appendix Table B-1 describes objectives and treatments for specific management units. Methodologies for predicting production increases are also found in Appendix B. Conclusion Impacts of the Preferred Alternative on vegetation would be beneficial. Key species would recover vigor and complete their reproductive functions; percent composition of key species would increase slightly on rangelands. This would also occur in riparian areas, except that woody species would re-establish themselves only where exclosures were used. Range condition would improve, but noticeable improvement would not be expected within 20 years without land treatment (burning, plowing, or thinning). Downward trend in range condition would be arrested and stable condition achieved in the long term. Cover would be expected to increase 1 to 5 percent. Production would increase about 50 percent in the short term. An overall forage increase from 7,031 AUMs to 13,582 AUMs would occur in the long term. Impacts on Livestock The Preferred Alternative would initially reduce active qualifications on intensively managed units from 23,548 AUMS to 7,031 AUMs. A reduction from 15,434 AUMs to 7,181 would take place on nonintensively managed units and from 387 AUMs to 0 AUMs on units where grazing would be eliminated. This is a total reduction of 25,157 AUMs (64 percent), from 39,369 to 14,212 AUMs. The estimated 14,212 AUMs of usable livestock forage on public lands is only 1 percent of the total forage produced in the EIS area. Adjustments in use by units are shown in Appendix B, Table B-1. Livestock operators on the intensive management units would become more dependent on other lands until forage production increases were realized on 72 units. If other lands these operators control could not support the 16,517 AUM's reduction on public lands, some operators would have to buy, rent, or lease additional pasturage or feed some of their livestock. Operators on 42 units would be required to change from spring-summer grazing to fall grazing on public lands. There would be no impacts on operators of nonintensively managed units because reductions would reflect the amount of forage currently being harvested. Increased vegetative vigor and production as a result of intensive management would provide more nutritious forage and make more forage available for livestock. Fewer livestock would be grazed but this would be somewhat offset by higher production per animal (Oxley, 1975; Martin, 1978). Cattle tend to graze where they drink. PROPERLY PLACED WATER FACILITIES PROMOTE BETTER LIVESTOCK DISTRIBUTION Where several sources of water are available, cattle will tend to distribute themselves more evenly. vegetation around a single water source. In this photograph, even though cattle are con- gregated near the water facility, surrounding vegetation has not been overgrazed. This prevents overuse of In some cases operators on intensive management units would require better management practices such as closer herd monitoring, record keeping, and proper husbandry techniques. These plus extra herding of cattle and maintenance of proposed range facilities would cause higher operating costs. The proposed water projects would improve livestock distribution within units and reduce the amount of time and energy livestock spent traveling to water (Vallentine, 1971). Stocking at proper levels would also reduce grazing pressure in areas that have been overutilized. These measures would result in a small but unquantifiable improvement in livestock condition and production (Stoddart, et al., 1975). An additional 1,515 AUMS would be available in the short- term through rangeland management, increasing livestock production (Vallentine, 1971). Fencing would help in administration of grazing on public land by allowing BLM easier detection of trespass. Approximately 6,551 AUMs of additional livestock forage would be expected to become available on the intensively managed units in the long term (20 years). Due to dietary overlap, some of this increase would be consumed by wildlife (Hansen and Reid, 1975). Conclusion The Preferred Alternative would reduce allocated vegetation to livestock by a total of 64 percent through intensive and non intensive management and elimination of grazing. To accommodate changes on intensively managed units, some operators might have to buy, rent, or lease additional pasturage or feed some of their livestock. Operators of nonintensively managed units would not be impacted because reductions would merely reflect current grazing capacity on those lands. Increased vegetative vigor and production as a result of management would provide more nutritious forage and make more forage available for livestock. Proposed water projects would improve livestock distribution within units and reduce the amount of time and energy livestock spent traveling to water. Management would also reduce grazing pressure in areas that have been overutilized in the past. On intensively managed units, an additional 1,515 AUMs would become available in the short term and 6,551 more AUMs in the long term. Impacts on Wildlife The Preferred Alternative would be slightly beneficial to wildlife habitat (Table 4-1). Providing a rest standard for forage plants and reducing livestock use to a moderate level would change range trend, increase vegetative cover and species diversity, quality and quantity of nesting and escape cover, and supply of forage for wildlife. As shown in Table 4–2, greater forage production resulting from intensive management would help meet big game needs projected by the DOW although meeting these needs is not a formal goal of BLM wildlife management. Studies indicate that in the long term, wildlife habitat benefits when a grazing system is implemented on suitable livestock range (Skovlin et al., 1968). Steger (1970) noted that moderate grazing can improve a range. As older, less efficient plant material is used, the younger plant parts will produce a more efficient growth, especially if given a rest. This improvement in the quality of forage along with the increased quantity should produce better overall habitat conditions. Impacts on Mule Deer Livestock compete with wildlife, especially the larger herbivores such as deer, elk, and antelope, for food. Wadle (1962) and Muchmore (1969) report that 90 percent or more of a deer's diet in the spring is made up of grass species. Mackie (1978) found that the diets of domestic and wild ungulates are often very similar in TABLE 4-1 IMPACT RATINGS FOR THE PREFERRED CHAPTER FOUR – 41 ALTERNATIVE ON VARIOUS BIG GAME AND WILDLIFE SPECIES ASSOCATIONS ON PUBLIC LANDS" Big Game Wildlife Species Association? Riparian Mule Bighorn and Mountain Deer Elk Antelope Sheep Broadleaf Shrub Conifer Grassland Grazing Use: AUMs at time of implementation 4 4 3 3 1 4 3 4 AUMs at 5 years 4 4 3 3 1 4 3 4 AUMs at 20 years 4 4 3 4 1 4 3 4 Period of use (rest standard) 5 5 5 3 2 2 2 5 Management Facilities: Storage tanks (water) 3 3 3 3 4 3 3 4 Pipeline (water) 3 3 3 3 4 3 3 4 Reservoirs 2 2 3 2 4 3 3 4 Water troughs 3 2 3 2 4 3 3 4 Spring developments 3 2 3 2 4 3 3 4 Rainfall catchments 3 2 3 2 4 3 3 4 Wells (water) 3 2 3 2 4 3 3 4 Brushland plowing 2 3 2 3 3 2 3 4 Prescribed burning 4 4 3 4 3 4 2 4 Selective thinning 5 3 3 3 3 4 2 4 Fencing 3 3 3 3 3 3 3 4 Land Actions: Disposal 2 2 3 3 2 2 2 2 Acquisition 4 4 3 4 4 4 4 4 Access 3 3 3 2 3 3 3 3 Administration: Allotment COmbination 4 4 3 4 4 4 4 4 Totals 64 59 58 55 58 61 55 75 Elements considered 19 19 19 19 19 19 19 19 Rating 3.4 3.1 3.0 2.9 3.0 3.2 2.9 3.9 Average impact rating for whole alternative 3.2 "The rating system is as follows: 1 = Most significant adverse impact 2 = Adverse impact 3 = Minor or no impact 4 = Beneficial impact 5 = Most significant beneficial impact *See Royal Gorge URA Step II, Animals, for list of animals by preferred habitat sites. *arly spring when both tend to seek out new, rapidly 9°owing grasses and forbs on similar range sites. He *So found that during this period nutritional needs, *Specially of pregnant females, are very high and *ubstantial quantities of new green plants are required. Where competition is intense, there are changes in "stribution, population size, and growth and survival "ates adverse to wildlife. This need not be the case. CKean and Bartman (1971) found that under "oderate stocking, livestock daily gains were "naffected by moderate grazing of mule deer. Competition between mule deer and livestock "ould generally be reduced on the 77 intensive units as * result of reduced livestock use. There would be no $9mpetition during the spring on 42 of these units °Cause livestock would be grazed after the growing Season. Affects of land treatments such as the proposed brushland plowing, prescribed burning, and selective thinning are difficult to evaluate because exact location, vegetative composition, Slope, and other pertinent data would not be determined until AMPs are written. Plowing often kills native plants, especially highly preferred forbs (Yokum, 1977). Up to 200 acres of habitat, none of it critical, would suffer a loss of preferred forbs. Selective thinning on 18,530 acres in forested areas and woodlands would improve habitat for deer. Shrub and other forage production would be increased without destroying escape Cover as these plants are "released" when the overstory is removed, giving them more light and water. Prescribed burning on 4,900 acres could create a more favorably mixed community of grasses, forbs, and shrubs as well as setting back overaged, dominate shrubs (Beardall and Sylvester, 1973). Where pinyon- juniper would be removed, the density of grasses, forbs, and shrubs would be higher which is favorable to mule deer. The addition and improvement of 67 water sources WOuld result in better Overall livestock distribution, providing a more uniform grazing pattern and reducing heavy use around existing water sources. Water developments for livestock would also benefit wildlife, but greater competition between livestock and wildlife for forage could result in some areas. New water facilities extend livestock into areas that have previously received little use or have only been seasonally grazed. Some of these might be important wildlife habitat. The degree of impacts, both beneficial 42 – ROYAL GORGE ENVIRONMENTAL STATEMENT TABLE 4-2 PROJECTED FORAGE PRODUCTION IN RELATION TO PROJECTED BIG GAME NEEDS WITHIN THE INTENSIVELY MANAGED UNITS (ON PUBLIC LANDS)" Difference Between e Minimum Increased Needed Mule Deer (AUMs) Elk (AUMs) Bighorn Sheep (AUMs) Needed Forage Increase Existing DOW Minimum Existing DOW Minimum Existing DOW Minimum For Mule Objectives Projection Management Use Projected Needed Use Projected Needed Use Projected Needed Deer, Elk at 20 Yrs. Objectives Unit Level? Needs” Increase" Level? Needs” Increase" Level? Needs* Increase" Sheep” (AUMs)* (AUMs)7 12 174 228 54 64 69 5 sº-º: &Eº &=ºge 59 61 2 23 5 6 1 *º sº- wºme * Gºº *-ºs 1 69 68 58 6 8 2 30 32 2 &= * = Eº 4 8 4 61 77 101 24 225 243 18 *= Gº-º º 42 46 4 66 121 158 37 178 192 14 * Eº *E tº 51 81 30 68 218 286 68 4 4 *E* *ºme tº me. *E= 68 61 –7 75 106 139 33 wº e-8 gº º º tº-ºº: 33 98 65 91 11 14 3 33 36 3 tºº tº- º 6 8 2 95 18 24 6 e-º-º-º-º: *E* mººse wº * sºme 6 22 16 96 13 17 4 sº sº e-8 * º *E= 4 5 1 97 77 101 24 sºme &= sº sº-ºº: ºms &_- 24 135 111 98 54 71 17 ---> * --> * sº tº-º-º-º: * --> 17 12 –5 99 22 29 7 sº *= * = * tºº * 13 102 85 100 6 8 2 e- sº --- 11 17 5 2 22 20 105 39 51 12 e- * º * sºme *ºme 12 17 5 117 38 50 12 sº- sº sº 12 18 6 18 16 –2 118 50 65 15 20 22 2 26 40 14 31 26 –5 126 42 55 13 * sº * -º 15 23 8 21 75 34 127 206 270 64 sº sº sºme 88 135 47 111 99 -12 128 47 62 15 e-ºº-º sº sº * gºe º 15 2 –13 133 17 22 5 * * * -º * * *-* 5 196 181 134 2 2 * * * sº sº * &- sº 3 3 136 1 1 14 3 sº *= e- * º- *º 3 6 3 137 14 18 4 {-º º tº-º-º: *-ºs *º-º-º: º 4 6 2 138 47 62 15 sº * 3- 37 57 20 35 230 195 139 5 6 1 sº sº sº 3 5 2 3 15 12 140 82 107 25 * --> sº *Eºgº 10 15 5 30 30 Gº 141 130 170 40 * sº tº- 10 15 5 45 73 28 142 66 87 21 sº 8-9 *- sº * tº- 21 40 19 143 12 16 4 * tº-º-º-º: {-} mº, * --> {- 4 23 19 146 9 11 2 tºº-º-º: 4-> * * tº- sºme 2 5 3 147 37 48 11 sº tº- &- &= * sº 11 242 231 148 8 10 2 sº e- * --> * gº * 2 2 emº 149 60 79 19 sº e- * * tº- * 19 121 102 150 52 68 16 sº <--> sºmº *E= &= sºme 16 45 29 155 79 103 24 *Eºs e- sºme sº sº *-*- 24 55 29 156 44 58 14 * * --> e- {-> sº * 14 10 –4 158 63 82 19 tº- {- 4-> sºme sº sº- 19 40 21 165 115 151 36 210 227 17 * tºº º 53 62 9 166 51 67 16 76 79 3 * º tº- 19 41 22 167 50 65 15 100 108 8 * sº sºme 23 16 –7 168 10 13 3 140 151 11 wº º sº 14 43 19 169 14 18 4 125 135 10 º-º-º: sºme e-º-º- 14 98 84 170 25 33 8 25 27 2 *--> *-* * = 10 36 26 "Because of computer limitation antelope needs were not included. *Existing use level was determined using Division of Wildlife current estimates of big game populations. *Minimal projected needs for forage determined using the Division of Wildlife's long range projections of wildlife numbers for 1983. These numbers are projected to remain stable after 1983. “Minimal needed increases are the difference between the existing use level and minimal projected needs. *Minimal needed increases for mule deer, elk, and bighorn sheep are the sum of the minimal needed increases for each species. *Increased forage projection objectives at 20 years are BLM objectives for increases in forage production on public land in 20 years. 7Increased forage production objectives are compared to forage needs for wildlife calculated from DOW's projected big game populations for 1983, which are predicted to remain stable thereafter. Forage production for wildlife on public lands is not expected to be sufficient to meet these projected requirements until 20 years after implementation of the preferred alternative. CHAPTER FOUR – 43 TABLE 4-2 (Cont.) PROJECTED FORAGE PRODUCTION IN RELATION TO PROJECTED BIG GAME NEEDS WITHIN THE INTENSIVELY MANAGED UNITS (ON PUBLIC LANDS) Difference Between Mule Deer (AUMs) Elk (AUMs) Bighorn Sheep (AUMs) '...' º . Existing DOW Minimum Existing DOW Minimum Existing DOW Minimum For Mule Objectives Projection Management Use Projected Needed USe Projected Needed Use Projected Needed Deer, Elk at 20 Yrs. Objectives Unit Level? Needs? Increase" Level? Needs? increase" Level? Needs? Increase" Sheep” (AUMs)* (AUMs)? 171 8 11 3 * e- sº sº- * {-> 3 3 º-> 172 21 27 6 * 4-8 º &= tº- tº- 6 35 29 173 12 16 4 11 12 1 4-º e- *E*º-º: 5 13 8 177 12 16 4 {-º-º-º-º: *- tº-º-º-e e- e- 4- 4 2 –2 187 91 119 28 * * sº sº *= * --> 28 70 42 189 56 73 17 º * --> e---> 8- 4- * 17 10 –7 190 127 166 39 sº * * - 15 23 8 47 99 52 191 252 330 78 10 11 1 115 176 61 140 105 –35 192 468 615 145 tº-º * g- 12 18 6 151 566 4.15 193 674 883 209 *-º-º-º: * tº- *= &=> * 209 404 195 193A 3 4 1 * *ºs :- * --> tº-º-º-º: * 1 2 1 194 50 65 15 sº º sº * e- sº 15 59 44 195 27 35 8 sºme * tº-3 tº-3 sº s== 8 7 – 1 196 26 34 8 * * g- egºs * s== 8 1 –7 197 658 862 204 129 139 10 * -º * * 214 950 736 198 227 297 70 5 5 *º * 4-8 *= 70 43 –27 199 179 234 55 º * tº-º-º: 23 35 12 67 4-3 –67 200 38 50 12 º tºº 4-> * tº- e- 12 * - – 12 202 306 401 95 * *= 3- * tº-º-º: 3- 95 4-> –95 204 102 134 32 75 81 6 tº- 8- tº- 38 67 29 213 51 67 16 37 40 3 e- {-, * 19 29 10 216 469 614 145 469 506 37 * tº- e- 182 48 -134 217 500 655 155 625 675 50 * tº- *--> 205 29 – 176 222 51 67 16 * tººs * * *E=º tº- 16 99 83 224 267 350 83 sºme &ºm= *E= e- * -> 83 56 –27 225 11 14 3 sº º-> * tº- * e- 3 9 6 227 227 297 70 * wº- * 8--> sº sºme 70 342 272 230 188 246 58 13 14 1 * -º *mme sº-º-º-º-º: 59 142 83 231 76 100 24 * sº * * * * 24 233 209 233 73 96 23 3 3 cº- tº- * <-- 23 145 102 237 400 524 124 * - º- *=º * &- * 124 314 190 238 46 60 14 sºme * *-*. tº- sºme tº- 14 75 61 243 190 249 59 N 21 23 2 4- sº sº-º-º: 61 258 197 TOTAL 77 8,220 10,712 2,543 2,592 2,834 206 377 588 199 2,948 6,551 3,616 'Because of computer limitation antelope needs were not included. *Existing use level was determined using Division of Wildlife current estimates of big game populations. *Minimal projected needs for forage determined using the Division of Wildlife's long range projections of wildlife numbers for 1983. These numbers are projected to remain stable after 1983. “Minimal needed increases are the difference between the existing use level and minimal projected needs. *Minimal needed increases for mule deer, elk, and bighorn sheep are the sum of the minimal needed increases for each species. *Increased forage projection objectives at 20 years are BLM objectives for increases in forage production on public land in 20 years. "Increased forage production objectives are compared to forage needs for wildlife calculated from DOW's projected big game populations for 1983, which are predicted to remain stable thereafter. Forage production for wildlife on public lands is not expected to be sufficient to meet these projected requirements until 20 years after implementation of the preferred alternative. 44 – ROYAL GORGE ENVIRONMENTAL STATEMENT and adverse, would be addressed in individual AMPS on a site-by-site basis. Fencing would have impacts similar to development of water in terms of influencing livestock distribution and range use. Fences also constitute physical barriers to normal mule deer movement. Regardless of design or construction, some loss of life and disruption of movement would be unavoidable, but would be expected to be minor (Papez, 1976). BLM wildlife biologists estimate that five mule deer per year would become entangled in fences and die. The Preferred Alternative would improve 58,431 acres of mule deer habitat and degrade 10,500 acres (Appendix H-2). Degradation would result from certain land treatments and management facilities. Deer would not be totally eliminated from these 10,500 acres, but would be excluded temporarily, possibly as long as the life of the project. In all, 68,931 acres out of 455,000 acres of mule deer habitat in the EIS area could be impacted. This area is relatively small, but 17,000 of the acres that would be improved are critical spring and summer range. Mule deer population would be expected to increase in response to more favorable habitat. This improvement would be offset later by losses of habitat on private lands due to other conflicting human uses which would diminish the overall carrying capacity of big game range. Impacts on Elk The Preferred Alternative would improve the quantity and quality of elk forage and cover. Hansen and Reid (1975) found that cattle and elk diets overlap 30 to 50 percent in spring and summer, suggesting the competition for food can be intense during that time and could limit elk use. Aside from this competition, which occurs mainly during the growing season of plants (spring-summer), livestock use during summer (after growing season) could benefit elk. Anderson and Scherinzinger (1975) found that cattle grazing during summer improve the quality of forage which elk use during winter. Under the Preferred Alternative, livestock use would be reduced during the growing season on 11 management units that have elk habitat, thereby reducing competition but maintaining some beneficial grazing. On 10 other management units, competition would be eliminated altogether by grazing livestock after the growing season (after August 10). Studies indicate that in the long term wildlife habitat benefits when a grazing system is implemented on suitable livestock range. Steger (1970) noted that moderate grazing can improve range. As older, less efficient plant material is used, younger plant parts will produce a more efficient growth, especially if given a rest. By allowing the more palatable key forage species to complete their growth cycle more high quality forage would be available for grazing herbivores. In addition, this would improve overall habitat conditions for elk (Table 4-2). Brushland plowing of 200 acres is not within elk habitat and would not impact elk. Selective thinning would improve the quality of some elk habitat. Good elk cover on 1,060 acres of conifer on six sites would be maintained while improving forage production. Prescribed burning on l,000 acres on four sites would create a more favorably mixed community of grasses, forbs, and shrubs as well as setting back overaged, dominate shrubs. Adding and improving 67 water sources for livestock would result in better Overall livestock distribution, but elk would not benefit directly by new water sources. The availability of water would extend livestock into areas that have previously received little grazing use and would, in some cases, increase competition between livestock and wildlife for forage. The degree of impact, both beneficial and adverse, would be addressed in the individual AMPS On a site- by-site basis. Out Of 96,200 acres of elk habitat in the EIS area, 8,141 acres would be improved while 1,000 acres would be degraded (Appendix Table H-2). Some increases in elk numbers would be expected the first few years following implementation but would be offset later by losses unrelated to grazing management. Impacts on Bighorn Sheep The Preferred Alternative would not generally improve sheep habitat and could degrade part of it if areas receiving little livestock use at present were grazed more heavily, thereby increasing competition with bighorn sheep (Table 4-2). Cattle do not generally graze areas inhabited by sheep because they are often remote, mountainous, and rocky and because, in the case of this EIS area, areas that are accessible to livestock Often lack water. Therefore, changes in grazing management would probably not greatly affect bighorn sheep habitat. However, development of water facilities for livestock could attract sheep and result in more competition instead of a more uniform use of resources. The degree of impact, both beneficial and adverse, would be addressed in the individual AMPs on a site-by-site basis. Selectively thinning 2,010 acres of pinyon-juniper would improve habitat for sheep. Shrub and other forage production would increase. Prescribed burning on 100 acres would remove pinyon-juniper and create a more mixed community of grasses, forbs, and shrubs favorable to sheep as well as setting back overaged, dominate shrubs. Providing additional water and producing new forage by thinning and burning could improve 2,276 acres of sheep habitat (Appendix Table H-I and H-2). Other facilities would degrade 30 acres. Heavier cattle use in existing sheep habitat could increase competition but the effect of this cannot be quantified. Impacts on Antelope The Preferred Alternative would have little impact on antelope since very little (less than 5 percent) of their habitat is on public land (Table 4-2). Only three units proposed for intensive management contain antelope habitat. Reducing stocking rates, providing a rest standard for forage plants, and reducing competition in spring would not increase the amount of forage available to antelope when it is a limiting factor in habitat viability. Forage availability is a problem in winter and antelope do not generally use public land then. Providing additional water sources in South Park could benefit antelope during late summer but this would not significiantly improve their habitat nor increase their numbers. No land treatments are proposed in antelope habitat. Impacts on Riparian-Broadleaf-Associated Species Under the Preferred Alternative, intensive management would increase vegetative species diversity, increase quality and quantity of nesting and escape cover, and provide a greater supply of forage for herbivores. Livestock grazing will always be heavier in riparian areas because of lusher vegetation and the presence of water (Table 4-2). Any shift in livestock use away from the spring season would be beneficial to wildlife in riparian habitat. In the EIS area the riparian areas are the first sites to green up and the first grazed by livestock. Competition among all herbivores is greatest in riparian areas in the spring. Reduction of livestock use under intensive management would benefit more than just big game. As indicated by Galliziolis (1977), bird populations usually decline in the presence of too many head of livestock. He observed that when a severely overgrazed area was placed under proper grazing management, small bird populations increased by more than 100 percent. Range improvements such as water developments would provide an additional 34 to 106 acres of riparian habitat. Overflows from these new Sources would create amphibian breeding habitat where none had existed before. The small increase in runoff in the short term due to burning, thinning, or plowing would not affect wildlife populations. A severe storm following Soon after land treatments would result in greater runoff and more sediment could be introduced into riparian areas. The effects of this short-term impact cannot be quantified (see Aquatic Resources). Increases in vegetative cover would protect small animals from the heat of the sun as well as from predators. There could be substantial increases in populations of small mammals, birds, and amphibians indigenous to these areas. The diversity of wildlife species using this habitat type, principally smaller mammals and birds as well as predators on these species, would also increase. Impacts on Mountain Shrub-Associated Species Impacts on wildlife populations of the mountain shrub type would be small. At present this type is in good condition and the important forage producing plants, Oakbrush and mountain mahogany, are in good condition. There is little competition for forage between livestock and wildlife in this type in the spring so changes in livestock management would not significantly increase forage for wildlife. Increasing the number of management units grazed in the fall or winter would increase only slightly the amount of competition. By providing a rest standard, desirable key species of grass would increase relative to other species which are less desirable forage. Production and ground cover would increase, benefiting smaller mammals and birds. Development of new water sources for livestock in or near the mountain shrub type would provide water for wildlife where none usually exists in the summer. It would also improve habitat around existing water sources a little, by reducing competition. Small mammals would benefit especially in drier periods like summer and early fall. Conversion of 4,900 acres of mountain shrub to grassland habitat on 10 management units by burning would be temporary. Loss of mountain shrub would also be minor, there are a total of 76,600 acres of this type in the EIS area. Prescribed burning would create a more favorably mixed community of grasses, forbs, and shrubs as well as set back overaged, dominant shrubs, improving forage production and cover (Short and McCulloch, 1977). This would provide a variety of foods instead of just browse and also different types and heights of cover. Burning would not destroy important wildlife habitat. Mountain shrub is a transition type of habitat, and few animals complete their entire life cycles there. In the very long term, removal of livestock from spring grazing on 42 of 77 intensively managed units could have adverse impacts on wildlife. These units would be grazed by livestock only in fall and winter, which could promote grassland habitats at the expense of mountain shrub. Grass not grazed during its growing season tends to burgeon and dominate a site by obtaining its nutrients, water, and light at the expense of young browse plants. Wildlife need a diversity of vegetation to fulfill their yearlong nutritional needs. Proper grazing management can, however, maintain the desired plant mix, vigor, densities, and production to provide this diversity. Thinning 17,470 acres of pinyon-juniper would convert it to a mountain shrub or grassland type. The forest canopy would be opened up, increasing production of forage plants and providing a mix of cover types (Minnich, 1969). Brushland plowing would not take place in the mountain shrub type and would not impact associated wildlife species. As a result of the Preferred Alternative, 22,370 acres of mountain shrubland would be disturbed by burning and thinning. All of the thinnings, burnings, and water developments proposed in the Preferred Alternative are complementary to recommendations made for wildlife in the Royal Gorge MFP. Impacts on Conifer-Associated Species Most of the coniferous habitat in the EIS area is not suitable for livestock grazing. What little usable forage grows there is often inaccessible because it occurs on steep slopes. Some grazing does take place, however, and changes in livestock management would probably reduce use and thereby competition with wildlife in this type. Vegetative production would increase some as a result, but not enough to significantly improve habitat. Coniferous habitat primarily provides cover. Such areas will not support as diverse wildlife populations as other habitat types. Thinning 1,060 acres would create Small openings in overmature timber where low- growing plants could grow and produce forage. Openings would be small enough not to affect quality of cover. Development of water in or near conifer types would provide an important habitat element. With the addition of water and increase in forage, these areas, which already provide good cover, would become highly productive of wildlife. Impacts on Grassland-Associated Species Of the four wildlife associations, grassland would benefit most with the Preferred Alternative (Table 4-2). Grasslands have been heavily grazed in the past, resulting in significant declines in wildlife densities and diversity. CHAPTER FOUR – 45 Wherever a forest canopy is removed (e.g., through burning and thinning), understory forage production increases dramatically Small natural openings are too remote and widespread to have any value for livestock and wildlife grazing LAND TREATMENTS BENEFIT LIVESTOCK AND WILDLIFE Proposed thinnings and burnings would increase the number and size of natural openings so that addi- tional wildlife. forage would be available for livestock and Burning and thinning provide more nutrients for understory growth because they remove compe- tition from larger vegetation and allow understory access to more sun and precipitation. They are also very cost-effective as management tools. As vegetative cover, composition, and productivity improved, forage as well as the quality and quantity of nesting and escape cover would increase, benefiting more than just big game (Galliziolis, 1977). Development of water sources for livestock would also benefit wildlife. Conclusion Providing a rest standard under the Preferred Alternative would reduce competition on spring and summer ranges of mule deer. Some minor damage to habitat would occur as a result of brushland plowing, which would destroy highly preferred forbs. Development of water facilities would generally benefit mule deer although in a few habitat areas competition might increase as a result of livestock redistribution. Fencing would have a similar effect. Competition would be a bane mainly during spring and early summer, when the diets of livestock and mule deer overlap. Otherwise, livestock grazing would be a benefit, by increasing the growth of highly preferred forbs. Effects on elk would be similar to those on mule deer. Bighorn sheep habitat would be little affected, except in a few areas where competition would increase due to redistribution of livestock. In some cases, bighorn sheep habitat might be extended as a result of new water developments for livestock, also creating new competition, but this impact would be minor. Thinning and burning of pinyon-juniper would benefit sheep, by providing a more favorably mixed community of grasses, forbs, and shrubs. Antelope would be little affected because very little of their habitat is on public lands. Intensive management would increase vegetative species diversity, quality and quantity of nesting and escape cover, and supply of forage for riparian and broadleaf associated wildlife species. Impacts on mountain shrub associated species would be small. Coniferous habitat would improve from thinning and water development, becoming highly productive of wildlife. Of the four wildlife associations, grassland- associated species would benefit most. Increases in vegetative cover, composition, and productivity would increase forage and improve nesting and escape cover. Water developments for livestock would improve water availability for wildlife. Impacts on Aquatic Resources The Preferred Alternative would not be expected to have a major effect on the fish habitat in the EIS area, even in the long term. Streams presently in good or excellent condition (49.9 miles) would remain so. Of streams in poor and fair condition (59.45 miles), 14 miles would remain in poor or fair condition due to factors other than livestock grazing. Habitat on the remaining 41.95 miles of stream would improve but probably not enough to jump a full condition class (Appendix Table D-2). Stream shading would improve on about 2.0 miles of stream where the growth of willows would occur because of fencing to exclude livestock. On another 1.5 miles of stream, conditions would improve from fair to excellent due to conditions unrelated to livestock grazing. 46 – ROYAL GORGE ENVIRONMENTAL STATEMENT Streambank conditions should significantly improve on approximately 42 miles of stream in poor or fair condition as vigorous reproduction of the herbaceous Species takes place. Streambank stability would not be expected to improve where livestock grazing would occur because recovery is cumulative and livestock would continue to damage banks by trampling. As riparian vegetation, especially woody species, increase in density and vigor, streambanks would be able to better withstand high and vigorous flows. Whether or not a major improvement in channel stability would occur is unknown because recovery of woody species is not certain. Streambed sedimentation would diminish in relation to beneficial changes in other factors indicated above. Under the Preferred Alternative fish populations would be expected to remain the same or increase slightly in response to habitat either stabilizing or improving slightly (Duff, 1978). Impacts on Recreation The Preferred Alternative would not affect the Arkansas River, which is the main recreational resource of the EIS area. Rafting, fishing, picnicking, camping, geologic viewing, and watching bighorn sheep would continue and probably increase regardless of which alternative is implemented. The river is very large compared to other water resources in the EIS area, and its appeal to recreationists is influenced much more by spring runoff, flash floods, fish stocking, and recreational facilities than by livestock grazing. Fishing as a recreational resource contributes about 122,000 recreational days out of the 500,000 days provided in the EIS area. The Preferred Alternative would somewhat improve the quality of fisheries on a total of 7 miles of stream along Texas Creek and Fourmile Creeks, which are feeder streams On the lower Arkansas River. Other feeder streams in the lower Arkansas River drainage such as Badger and Grape Creeks would not improve because factors other than grazing management limit their fishery value. Improving the quality of fishing on these streams and other small stretches would increase the total amount of recreational fishing by an estimated 1,000 days (Table 4-3). Some of the increase would occur on the Arkansas River itself. The Arkansas River is stocked yearly with rainbow trout but it's known at least locally for its brown trout. The spawning sites for brown trout are found on feeder streams such as Texas and Badger Creeks. Improvements on these spawning streams would help maintain the Arkansas River as a top brown trout fishery. By improving the quality of 58,431 acres of mule deer habitat, 8,141 acres of elk habitat and 2,276 acres of bighorn sheep habitat, these populations would increase. Recreation days for hunting and big game harvest would increase proportionally to habitat improvement. Currently, about 8,359 recreation days are devoted to big game hunting in the EIS area. There would be an expected increase of about 1,460 days (Table 4-3), which would be small compared to current activity estimated by the Colorado DOW for the Southeast Region of Colorado, about 107,250 days. Development of range improvement facilities in areas with primitive values and characteristics would not threaten nor diminish values associated with these areas since their design and construction would be compatible with overall management objectives. Spring developments could be well hidden by vegetation and water catchments could use naturally flat rock surfaces to collect water. These and other types of mitigation would be developed in site specific environmental assessments to preserve primitive values and characteristics. Conclusion The Preferred Alternative would improve riprian and wildlife habitat. Improvements along Texas and Badger Creeks would help maintain them as important spawning areas for brown trout and the Arkansas River as a top brown trout fishery. Texas and Fourmile Creeks would also improve as fisheries. Hunting would improve as wildlife habitat improves. Range improvement facilities and spring developments would not threaten primitive values. Impacts on Economics and Social Values Agriculture, in its regional setting, is not a major contributor to generation of personal income. Only Fremont and Teller Counties contribute an appreciable amount (1.5 to 2.0 percent) to their respective county's total income (USDI-BLM, RGRA, TABLE 4-3 ESTIMATED ADDITIONAL RECREATION VISITOR DAYS BY ALTERNATIVE IN 20 YEARS" 1978). Reduced grazing on BLM-administered lands would not have a significant effect on the regional economy. Factors considered in impact analysis are the EIS area population, income (including range livestock- related income, COntract construction-related income, recreation-related income, and government-related income), employment, public finance and tax base, and social values. Grazing units that would be less than intensively managed would not affect these factors since reductions in vegetation allocation would be made to reflect the amount of forage currently being harvested on them rather than being true reductions. As a result, operating costs in the form of grazing fees would be slightly lower. Resulting impacts on ranch equity would only be very minor if not negligible because the number of AUMS from public land contributing to the equity of these ranches is very small compared to the AUMs derived from private land. With a couple of exceptions, this also holds true for units where grazing would be eliminated. Where elimination of grazing would have major impact on the operator, units are included in the economic analysis. Aside from these units, only impacts resulting from 77 intensively managed units are analyzed because major impacts would derive only from them. Impacts on Income Impacts on Ranch Income Ranch operations having less than 200 head of Cattle would incur a total loss of net revenues related to cattle grazing of $297,864 per year in the short term (5 years) and $42,560 per year over the long term (Tables 4–4 and 4-5). Each rancher would incur an average short-term loss of $4,137 per year and a long-term loss of $1,980 per year. These ranchers, particularly the smaller ones, would become more dependent on nonranching income. The method by which these statistics were derived appears in Appendix F. Ranch operations having more than 200 head of cattle would incur a loss of net revenues related to cattle grazing of $46,559 per year in the short term and $61,488 over the long term (Tables 4-4 and 4-5). Each operator would incur an average short-term loss of $6,979 and a long-term loss of $2,928 per year. Despite this reduction in net revenues, intensive management would still yield an average annual net profit per operator of $30,000. Elimination Present NO Of Management Preferred Situation Action Grazing Constraints Nonintensive Alternative Deer Hunting 3,512 –300 900 1,450 700 1,053 Elk Hunting 3,009 – 50 350 370 250 270 Bighorn Sheep Hunting 245 O 140 185 110 137 Other Big Game 1,593 O O O O O Fishing 122,620 O 12,380 7,000 4,970 1,000 Totals 130,979 -350 13,770 9,005 6,030 2,460 "These estimates were made by BLM personnel and will vary due to several reasons not related to the rangeland management such as gas availability, regional population increases, DOW regulations, climatic conditions, and legal access to public lands. TABLE 4-4 RANCH SIZE AND SHORT-TERM INCOME EFFECTS (Constant 1978 Dollars) CHAPTER FOUR —47 Gross Revenue Changes Model Number of Total BLM AUM Total Public and Net Revenue Changes Ranches Cattle Ranches Reduction Private AUM Reduction' Per Ranch All Ranches Per Ranch All Ranches Preferred and Nonintensive? Alternatives Cattle 1 0 - 199 72 11,780 23,560 $– 5,437 $–391,464 $— 4,137 $–297,864 Cattle 2 200+ 21 4,737 9,474 –10,270 –215,670 – 6,979 –146,559 Total 93 16,517 $–607,134 $–445,323 Management Constraints Alternative Cattle 1 0 - 199 72 14,383 28,765 $– 6,815 $–490,680 $– 5,078 $–365,616 Cattle 2 200+ 21 5,933 11,866 —13,292 –279,132 –14,663 –307,923 Total 93 20,316 $–769,812 $–673,539 'Private AUM reductions are on private land managed in conjunction with public lands. Analysis was made based on an average of 1 private AUM per 1 BLM AUM. *Short and long-term impacts for the Nonintensive Alternative are the same. TABLE 4-5 RANCH, SIZE AND LONG-TERM INCOME EFFECTS (Constant 1978 Dollars) Gross Revenue Changes Model Number of Total BLM AUM Total Public and Net Revenue Changes Ranches Cattle Ranches Reduction Private AUM Reduction' Per Ranch All Ranches Per Ranch All Ranches Preferred Alternative Cattle 1 0 - 199 72 7,232 14,464 $– 2,178 $–156,816 $– 1,980 $–142,560 Cattle 2 200+ 21 2,734 5,468 – 4,457 – 93,597 – 2,928 – 61,488 Total 93 9,966 $–250,413 $–204,048 Elimination of Grazing Alternative” Cattle 1 0 - 199 72 16,156 32,312 $– 8,294 $–597,168 $– 5,927 $–426,744 Cattle 2 200+ 21 7,392 14,784 -16,195 –340,095 – 9,992 –209,832 Total 93 23,548 $–937,263 $–636,576 Management Constraints Alternative Cattle 1 0 - 199 72 13,496 26,992 $– 5,661 $–407,592 $— 4,337 $–312,264 Cattle 2 200+ 21 3,948 7,896 —11,704 –245,784 —13,545 –284,445 Total 93 17,444 $–653,376 $–596,709 'Private AUM reductions are on private land managed in conjunction with public lands. Analysis was made based on an average of 1 private AUM per 1 BLM AUM. *Short and long-term impacts of the Elimination of Grazing Alternative are the same. Impacts on Construction Income Impacts on Government Income Six additional staff people would be hired by the Impacts on Employment Types of improvements needed to stabilize and improve the condition of the range under intensive management are shown on Table 4-6. They are estimated to cost $2.4 million (1978 dollars) and would Contribute significantly to the income of construction industries in the seven-county region. Royal Gorge Resource Area to implement intensive management. Assuming an average of $15,000 per employee in salary and benefits, an increase of $90,000 in annual personal income would be generated. This would be very small in proportion to current government-related income in Fremont County, where most of the new employees would be located. The principal benefit of intensive management would accrue to the construction industry through construction and maintenance of range improvements. The ranch labor sector would suffer a decline in employment accompanying cutbacks in vegetation allocations on public land. In the short term, a reduction of 18 person-years of labor would result from intensive management. In the long term, 11 of 48 – ROYAL GORGE ENVIRONMENTAL STATEMENT these 18 person-years would be regained on these ranches, resulting in a long-term net loss of 7 person- years (Table 4–7). As stated earlier, an estimated six additional BLM employees would be hired to implement intensive management, which could be considered a beneficial though not a major impact. Impacts on Government Finance and Tax Base As a result of intensive management, collections of local property taxes would be reduced by $5,472 per year during the short term (5 years) and $2,347 per year in the long term (20 years)(Table 4-8). Given total property tax revenues of $34,086 for cattle ranches in the Royal Gorge Grazing EIS area, losses would amount to 16 percent and 7 percent in the short term and long term, respectively. Within the seven-county region this loss in tax revenue would be negligible. Impacts on Recreational Values An increase of 2,460 hunting and fishing days due to a change in management on the public grazing land would increase recreation-related expenditures for goods and services in the resource area though not much. The increase in hunting days for deer, elk, and bighorn sheep is the largest of the recreation-related increases (Appendix Table F-7). Accordingly, the greatest share of the increased income would come from hunters. TABLE 4-6 ESTIMATED CONSTRUCTION COSTS OF RANGE IMPROVEMENTS OF THE PREFERRED ALTERNATIVE (1978 Dollars) |tem Units Dollars Pipeline (Miles) 3.3 6,600 Storage Tanks (No.) 1 5,000 Reservoirs (No.) 11 27,500 Water Troughs (No.) 4 900 Spring Developments (No.)? 67 46,900' Catchments (No.)? 39 195,000 Wells (No.) 2 18,000 Plowing (Acres) 200 5,000 Burning (Acres) 4,900 98,000 Thinning (Acres) 17,630 1,763,000 Fencing (Miles) 80 240,000 Cattleguards (No.) 4 6,400 Total 2,412,300 "As AMPs are developed, there would be an estimated 71 miles of additional fencing and 100 additional spring developments required for implementation of the AMPs. Estimated construc- tion costs due to these additional improvements would in- crease to $2,503,600. *Includes the cost of necessary water troughs. TABLE 4-7 RANCH LABOR LOSSES (In Person-Years) Preferred Elimination of Grazing Management Constraints Model Short-term' Long-term Short-term Long-term Short-term Long-term Cattle 1 12.75 5.04 18.49 T8.49 16.13 13.41 Cattle 2 5.13 2.21 8.10 8.10 6.65 5.86 Total 17.88 7.25 26.59 26.59 22.78 19.27 "Implementation of the Nonintensive Alternative would produce long-term losses of labor equal to short-term losses produced by the Preferred Alternative. TABLE 4-8 LOCAL PROPERTY TAX TOTAL (PER YEAR) – ALL RANCHES (Constant 1978 Dollars) Preferred Alternative Elimination of Grazing Management Constraints Property Tax Current Model Tax! Short-term? Long-term Short-term? Long-term Short-term Long-term Cattle 1 $13,208 $ 9,789 $11,843 $ 8,257 $ 8,257 $ 8,908 $ 9,632 Cattle 2 $20,878 $18,825 $19,896 $18,709 $18,709 $19,103 $19,315 Total $34,086 $28,614 $31,739 $26,966 $26,966 $28,011 $28,947 'Average annual assessed value per head would be $31.95 (typical feeder steer value derived by the Colorado Division of Property Taxation, Dept of Local Affairs). *Implementation of the Nonintensive Alternative would reduce long-term property tax collection by the same amount as the short term for the Preferred Alternative. *Implemention of the Elimination of Grazing Alternative would impact local property taxes equally over both the short and long term. Growth in income expected from expenditures for goods and services would be $213,133. Income attributable to increases in hunting days would be $176,564 while income attributable to increases in fishing days would contribute $36,569. Of total regional income, the additional sportsman expenditures would amount to less than a tenth of a percent of the regional economy. Impacts on Social Values Reductions set forth in the Preferred Alternative would conflict with the attitudes and expectations of people engaged in livestock production who presently use lands administered by BLM. As borne out at public meetings, these people feel that grazing should Continue as a necessary and defensible use of public lands. At least 90 percent of all operators would be affected, either by reduction, elimination, or change in management. Social impacts are directly related to economic impacts, which in turn are primarily a function of (1) dependence on BLM grazing; (2) severity of reduction in grazing use on BLM-administered lands; and (3) the percentage of income derived from livestock production. Several other factors are also influential: age of operator, family situation, degree of diversification, debt burden, and present income. TOO little information is available On individual Operators and their economic options to determine Social impacts wrought by intensive management. Some operators would be forced out of business but most would continue their operations, perhaps at a lower level. Those who quit the business might have to relocate, either to a new community where conditions are more favorable for raising livestock or to a "new place" within this community, such as a tenant Operator. In extreme cases, they might have to leave the rural environment altogether and seek residence and employment in towns and cities. Others might Continue their lifestyle by finding a new livelihood in rural areas. Some operators who suffer economic hardship but do not quit business would seek employment to replace lost livestock-related income. Ranches now producing livestock could be sold and subsequently subdivided for rural homesites. There is already a large influx of people into the EIS region caused by development of energy resources. Accommodation of new housing demand in rural, formerly agrarian areas, would change their character. Population growth in the region will inevitably cause a Shift in the socio-political spectrum away from a predominantly rural and agrarian society. Conclusion Under the Preferred Alternative, net revenues to 21 large ranchers would decrease from an average of $34,449 per year per rancher to $27,470 in the short term. In the long term, net revenues to large ranchers would average $31,521 per year. Net revenues to 72 Small ranchers would decrease from $352 per year per rancher to an average operating loss of $3,786 in the Short term; operating loss would average $1,628 in the long term. Construction of range improvements would cost $2.4 million, benefiting the local construction industry. Short-term ranch labor losses would total 17.9 person- years. Some of that loss would be recovered by increased employment as range improves and Stocking level is increased. Over the long term, total labor losses would shrink to 7.2 person-years. Total yearly property tax collections from all ranchers, large and small, would average $5,472 less in the short term and average $2,347 less over the long term. Income would increase in the government sector by $90,000 due to costs of administering the range program. With improvement of riparian and wildlife habitat, hunting and fishing would be expected to improve (Table 2-5). Associated increases in recreation days would be accompanied by expenditures for goods and services, bringing more money into the local economy. The total increase for all recreational activities would average $213,133 per year over the long term. Impacts on Water Resources Impacts on Water Quantity Implementation of the Preferred Altenative would increase vegetative cover on 77 intensive management units (Appendix Table B-2). Increases in total ground cover would be expected to decrease flood peaks and reduce potential sediment loads (Pase and Lindenmuth, 1971). Decreases in flood peak flows would be expected to average 3.8 cubic feet per second per square mile of drainage (CSM) (Appendix G). As calculated by the SCS Flood Hydrograph method, this is a reduction of 3 percent from the existing level. The average annual sediment load in the Arkansas River would be reduced by about 183,200 tons, compared with the existing rate of 1.9 million tons per year (PSIAC method) (Appendix G). Sediment loads in the South Platte River would not be affected because tributary public lands are generally proposed for nonintensive management and are mostly remote from perennial Stream S. A greater decrease in runoff and sediment production would be expected from 7,465 acres of currently allotted land that would be put into a no grazing status. Runoff would decrease an estimated 15 CSM, a reduction of 13 percent, and sediment load to the Arkansas would decrease an estimated 7,500 tons per year (0.4 percent of the total existing load). A slight increase in runoff and sediment production would be expected on 29,610 acres. In this case, previously ungrazed land would be opened to grazing and ground cover would be expected to decrease, causing increases in runoff of about 11 CSM and increases in sediment load of 18,350 tons annually in the long term. No changes in runoff or sediment load would be anticipated on 180,602 acres where nonintensive management or nongrazing is expected to continue since no changes in cover would be anticipated. Approximately 200 acres in allotments 23 and 213 would be plowed and reseeded. Runoff from these acres would be expected to decrease significantly during the first 2 or 3 years after treatment, as infiltration rates of water into the soil are increased, then gradually decrease and eventually approach existing rates. Short-term decreases are estimated to be 11 CSM for runoff and 0.4 ton per acre per year for Sediment. In allotments 68, 133, 147, 192, 194, 224, 227, 230, 231, and 233 a total of 4,900 acres would be scheduled for burning of oakbrush to establish more forage. This action would result in a short-term (2-3 years) decrease in ground cover with accompanying increases in runoff and sediment load. The increases should be highest during the first year (depending on storms), averaging 61 CSM of runoff and 3,000 tons of potential sediment load per year. In the long term, runoff and sediment load would approach pre- treatment levels. CHAPTER FOUR — 49 Thinning of pinyon-juniper stands is proposed on 18,530 acres in units 66,97, 126, 127, 138, 142, 143, 147, 150, 155, 158, 165, 166, 169, 172, 190, 192, 193, 197, 204, 216, 222, 224, 227, 230, 231, 237, 238, and 243. An increase in runoff and sediment load would be expected after treatment, initially 29 CSM of runoff and 220 tons per year per square mile of sediment. As ground cover increases over the short term, sediment yield and runoff would decrease slightly from pre- treatment levels (Pase and Lindenmuth, 1971; Hurst, 1976), stabilizing in the long term. Installation of 80 miles of fence, 3.3 miles of pipeline, and 97 water developments would not be expected to have any measurable effect on runoff or Sediment load because of the Small area involved. The present consumptive use of ground and surface water by livestock (50 acre-feet) would decrease in proportion to the reduction of AUMs proposed in this alternative (about 70 percent). This decrease would be offset to a certain extent by increased consumption by wildlife, primarily big game, and should result in no measurable change in either ground water quality or quantity. Impacts on Water Quality Although total dissolved solids and salinity in streams are related to the quantity and characteristics of the sediment load, no changes in water quality are anticipated. Conclusion Runoff changes would reflect increases or decreases in vegetative cover and production. Peak flows from 10-year storms would decrease 3 percent on lands proposed for intensive management. Volume of runoff from a 10-year storm would decrease about 3 percent over the long term. Impacts on Soils Intensive management on 77 units totaling 379,380 acres would provide a rest standard for forage plants. Live vegetative cover and litter (total ground cover) production would increase, improving infiltration rates and erosion condition (Table 4-9). Runoff and associated sediment yield (Appendix G) would Cecrease. TABLE 4–9 EROSION CONDITION CLASS Erosion Acreage in Each Class Condition Classes Present Predicted' Stable 55,259 55,594 Slight 182,604 198,984 Moderate 221,863 208,389 Critical 33,925 30,684 Totals 493,651 493,651 'Predictions are based on average predicted improve- ments after 15 years of management. Predictions were made only on the 84 percent of the public lands which have been inventOried. 50 – ROYAL GORGE ENVIRONMENTAL STATEMENT Late Summer, fall, and early winter periods of use would be most beneficial to overall condition of the watershed because infiltration rate of the soil would not be as severely affected as that caused by spring grazing. Sediment yield would be reduced from 1.55 to 1.16 tons/acre/year on intensively managed units, a 25 percent reduction from present levels. Erosion condition and sediment yield would remain essentially the same on the 279 units with nonintensive management and on the one existing AMP allotment. Sediment yield would increase from 0.54 to 1.19 tons/acre/year on 59 nonintensively managed units covering 29,610 acres. These units are currently ungrazed but would be allotted for grazing upon demand. Elimination of grazing is proposed for 13 units totaling 7,465 acres that currently are being grazed. Sediment yield on these units would be reduced from 1.55 to 0.54 tons/acre/year. No changes would occur on the remaining 12,930 acres since they are not presently being grazed and never will be. Sediment yield estimates have been calculated by use Of the PSIAC method. The current rate of wind erosion has not been determined, but would decrease on intensively managed units as vegetative cover increases. Short-term soil loss due to range improvements and land treatments needed to implement intensive management on 77 units would be about 8,511 tons (Table 4-10 and Map 4-1). This loss is insignificant when compared to 733,050 tons of soil lost annually from public lands. Long-term impacts would be negligible. The effects of compaction have not been quantified although studies would be carried out. Conclusion Sediment entering the Arkansas River would gradually reach 10 percent reduction after 20 years. No change would occur in the amount of sediment entering the South Platte River. Overall there would be, accordingly, 25 percent less erosion (also see changes in the number of acres in each erosion condition class (Table 2-5), a more generalized measure of land's susceptibility to erosion). Impacts on Archaeology The Preferred Alternative would not change the number of sites affected, but the degree of impact attributable to livestock grazing would be reduced. Increasing vegetative cover would stabilize land surface and reduce erosion. Since fewer artifacts would be exposed, fewer would be subject to alteration because of livestock trampling and vandalism. None of the 680 known sites would be disturbed through range project construction. Sites discovered during construction of range improvements would be protected. Locations and types of improvements would be altered to mitigate impacts on new sites discovered prior to construction. Such projects could produce negative impacts because areas previously remote would become accessible during implementation, thereby making newly discovered Sites subject to vandalism. These impacts are not Quantifiable. Impacts on Visual Resource Management Improving the cover, density, vigor, production, and composition of the forage-producing grasses could change two of the basic elements of a landscape, TABLE 4-10 SHORT TERM SOIL LOSS DUE TO PROPOSED RANGE IMPROVEMENTS (Preferred Alternative) Acre Disturbance Improvement Units Per Unit Soil Loss (Tons)" Plow - Seed 200 AC. &=º 120 Burn - Seed 4,900 AC. * 2,940 Thin 18,530 AC. ºmº 5,289 Fence 80 Mi. 0.5 - 1.0 45 Pipeline 3.3 Mi. 0.2 - 1.5 3 Water Storage Tanks 1 0.1 - 1.0 .6 Earthen Reservoirs 9 0.5 - 3.0 20 Water Troughs 4 0.1 - 1.2 3 Spring Developments 67 0.1 - 0.5 20 Rainfall Catchments 28 1.0 - 3.0 70 Wells 2 0.2 - 0.5 .6 Totals 8,511.2 "Total units of range improvement were multiplied by the optimum number of acres disturb- ed per unit. This was then multiplied by the optimum amount of sediment yield (.6 Tons/Acre) were taken from the “Sediment Yield" map, Colorado Land Use Commission, 1974, (Map 4-1). color and texture. The color of the landscape might be slightly changed from earth colors of browns and reds to greens and yellows of vegetation. The addition or increase of plants could change the texture of a landscape by covering erosion patterns or changing vegetative types. Texture would be changed as barren or nearly barren areas are covered, removing the barren landscape and replacing it, at least in the foreground, with a vegetated landscape. The changes would be evident only at major viewpoints along roads and highways. Highway 50 through the Arkansas Canyon provides the majority of viewpoints of public land in the EIS area. There would be no changes in livestock management and therefore no changes in vegetation in the canyon. Existing basic elements of that landscape would not change. Visual contrasts would result from range improvement facilites such as pipelines, storage and watering tanks, fences, and temporary roads, which would contrast with an otherwise natural landscape. These impacts would be short term and highly localized, however. There would also be short-term visual intrusions related to land treatments such as plowing, burning, and thinning. None of the adverse impacts would threaten outstanding scenery or primitive and wildland type areas. None of the adverse impacts identified above exceed allowable Visual Resource Management contrast ratings. For criteria and methodology, see BLM Manual, Section 8400. Impacts on Forestry Increases in growth of grass plants associated with implementation of the Preferred Alternative would prevent or retard the establishment of seedlings. Grass plants and shrubs are beneficial to seedlings by providing shade which keeps soil temperatures down, but they also compete with pine seedlings for soil moisture and nutrients. In the long term, effects would be offsetting and localized. Steeper slopes where livestock do not graze would not be impacted. Trampling damage to wooded areas would not become acute unless livestock would be concentrated in planatations, where forests are being regenerated. In any case, serious adverse impacts would be very localized. Moderate trampling could also be beneficial, however, burying seeds in the soil, thereby making them more susceptible to germination. Any increase in vegetative production would increase the potential for fire. Fire would have a localized, long-term impact in any forested or wooded a ſea S. Prescribed burning in the 4,900 acres of oakbrush would kill the Scattered conifers. These conifers are the only natural seed source for the timber and woodland products in this cover type and their loss would be a loss both in present worth and in costs for regeneration of the site by planting. The benefit of burning is the removal of oakbrush, which allows better access for planting of either forest or woodland commercial species and diminishes oakbrush competition with seedlings for water, sunlight, and nutrients. This benefit to seedlings would, however, be partially offset by increased competition from grass and forbs. The long-term impact would be positive, replacing oakbrush cover with a productive forest stand. Selective thinning 1,060 acres of conifer to improve range would remove more trees from the forest stand than would be removed strictly for R-81-w R-79-w R-78-w R-77-w R-82-w R-73-w V a.....nºes." ^ Twin Laºh N AT I O N A L Fo R E S T R-5-E | N AT on AL Tie- |- For Est º *— T] Fº- 5 very high yield (1.0–3.0 acre feet per square mile per year) includes areas consisting mostly of badlands or other severely eroded lands with extensive sheet and rill erosion and numerous deep gullies and streambanks. High yield (0.5–1.0 acre feet per square mile per year) includes mostly rangelands having much sheet and rill erosion and numerous shallow to moderately deep gullies or a few deep gullies and eroding streambanks. Also includes dry cropland on slopes averaging greater than three percent. 3. Moderate yield (0.2–0.5 acre feet per square mile per year) includes mostly rangelands with some sheet and rill erosion and only a few shallow to moderately deep gullies. Also includes dry cropland on slopes averaging less than three percent. 2 Low yield (0.1–0.2 acre feet per square mile per year) includes mainly forest lands, grasslands, irrigated cropland, and other areas with a good vegetative cover and only occasional gullies or sites with obvious sheet and rill erosion. 1 Very low yield (less than 0.1 acre feet per square mile per year) includes mainly high mountain areas with dense vegetative cover, areas of resistant rock outcrops, and sandhill areas. All of these areas are characterized by having no significant erosion problems. Severely eroding stream banks or gullies with average depth of five feet or more are shown. Sediment yield is from 1.0 to 2.0 acre-feet per bank mile per year. MAP 4-1. SEDIMENT YIELD MAP R-71-w CHAPTER FOUR –51 N AT I on Luis Mariº Bºca Grant No. 4 T-41-N \ - N - ^- Re- -on -- 2^ T-22-s R-70-w R-69-w R-68-w R-67-w T \ -----r *H. G 2 -------- T-11-s - © - — r- - = !-- l. Rampart Reservoir T-12-5 - | “ſº ---L- '5 vº– ~ orthplemsTºzº, mount Reservºir -------'A' |T-13's Crystal Creek Reservoi | N- co-or-do-Prin-- |- º T-14-s * 1 T - . T-15-s - ſ ſ 2 T-16-3 - / T-17-- \ / |T-iss * / - > - | Yº | \ º - w N |T-is-s - 8. *~ \ = * wº-> T-zo-s -T I Th. - i- º T-21-s !----- - - l_ſ- 1 s A N is AB. E. L. ---- - N AT 1 o N-A L. T-24-3 T-25- —f-H H H Zº | 14on - - |- T-27-5 T-26-s T-29-s 52 – ROYAL GORGE ENVIRONMENTAL STATEMENT maintenance of a productive forest. The remaining trees in the stand would be worth more at their maturity than if the stand had not been cut at all. Timber production averages 6,000 board feet per acre. At the current value of $20 per thousand board feet, $127,200 of revenue would be generated through timber sales over the long term. Thinning 17,470 acres of pinyon- juniper would benefit forest resources and also help meet Some of the current demand for firewood. Average production is 5 cords of firewood per acre. At the current value of $5 per cord, $436,750 of revenue would accrue through firewood sales over the long term. Thinnings would be conducted on an average of 500 acres per year. This is approximately equal to and complements the current forestry program. Therefore, forest product sales would not change. Summary The Preferred Alternative, if implemented, would meet all eight of the MFP objectives as outlined in Chapter 1 of this EIS. Some resource tradeoffs have been made to accomplish this. Grazing management plans would be developed with special consideration given to improving riparian habitat. Other resources would benefit similarly: watershed, vegetation, wildlife, and recreation. NO ACTION Impacts on Vegetation Under the No Action Alternative decline in plant vigor, and the related indirect impacts of decreased production, cover, and compositional diversity, would continue. Vegetative types would remain essentially unchanged over the long term, but a small increase in the pinyon-juniper type would occur (Barney and Frischknecht, 1974; Burkhardt and Tisdale, 1976). Physiological needs of vegetation would not be met (Martin, 1978). Yearly, heavy utilization of desirable forage species would favor undesirable species (Cook, 1977), continuing the apparent downward trend in range condition on 341,834 acres. The amount of public land in poor range condition, currently 336,143 acres, would increase by 5,000 to 10,000 acres over the long term due to the continued decline in plant vigor and the loss of desirable species. On the 77 units proposed for intensive management in the Preferred Alternative, cover would diminish by less than 1 percent (Appendix Table B-2). As desirable species are lost from a plant community, they will be replaced by less desirable plants (Humphrey, 1962). Cover would not change on 209 units which would continue to be managed nonintensively. On 59 additional units currently not grazed but recommended for non intensive management under the Preferred Alternative, cover would decrease about 1 percent. Impacts on Llvestock Livestock grazing would continue at the present level without change in numbers of livestock or use periods. Continued decline in plant vigor, cover, production, and diversity could adversely affect animal health and weight gains (Oxley, 1975) over a much longer time, 20 to 50 years (Stoddart et al., 1975). Since no water developments nor facilities are proposed under the No Action Alternative, livestock would continue to concentrate around currently available water sources, which are limited. Livestock would graze less desirable vegetation, adversely affecting livestock production. Without a change in present grazing practices on public lands, trend and range condition would continue to slowly decline. Livestock production per animal on public lands would remain lower than the resource is capable of supporting on a sustained yield basis (Martin, 1978). According to the 1977-78 range survey conducted by BLM, there are 14,212 AUMs of forage available for harvest on a sustained yield basis. Current livestock use is 39,369 AUMs. Impacts on Wildlife The overall wildlife impacts of the No Action Alternative would favor mountain shrub habitat. This is currently in good condition so the small improvement would not increase the carrying capacity or diversity of species using that type. Grassland- and riparian- related wildlife species would be hardest hit by continuation of existing grazing practices (Table 4-11). Impacts on Mule Deer No Action would result in the continued domination of upland areas by woody vegetation and intense competition between mule deer and livestock for green forage on meadows and parks in the spring and early summer. Without the production of additional forage in spring and without additional water developments, the overall quality of mule deer habitat would not be expected to improve. It could actually decline if additional spring habitat is lost to subdivision development. Impacts on Elk Elk would have to compete with livestock on a yearlong basis for food. Competition for spring forage on 21 management units while elk are calving and before they move to their summer range on Forest Service lands could adversely affect reproduction. Currently cover and water appear to be adequate. Impacts on Antelope Antelope would be relatively unaffected by this alternative, but changes in cover in their yearlong habitat due to the encroachment of Subdivisions could further reduce their numberS. Impacts on Bighorn Sheep Bighorn sheep probably would not be impacted because they currently inhabit areas livestock rarely use. There is a chance, however, that present heavy livestock use may be preventing or slowing bighorn sheep movement into new areas. Impacts on Riparian-Broadleaf-Associated Species Continuation of present grazing practices would further degrade riparian habitat. Important wildlife food and cover would be lost or existing poor habitat Conditions would be perpetuated. Loss of cover, particularly in riparian areas, would have adverse effects because of increased evaporation, which reduces the amount of water available for wildlife. This would adversely affect big game and fish but also many forms of insect life, which are directly or indirectly related to free-standing or flowing water during some portion of their life cycle. Insects are vital to a healthy ecosystem because of their importance in the food chain. Impacts on Mountain Shrub-Associated Species The mountain shrub type would continue in good condition, supplying browse for big game and escape cover for all species of wildlife. Since habitat components supplied by this type, summer or fall food and cover, are not limiting to wildlife populations, maintaining or improving its condition would not affect the carrying capacity of surrounding habitat types. Impacts on Conifer-Associated Species The quality of the coniferous habitat would not be affected. It principally provides cover and water. Impacts on Grassland-Associated Species Grassland habitats, like riparian habitats, would continue to produce far below their potential. Heavy grazing would keep competition for food intense while removing some cover for smaller wildlife species. Many grassland types have been converted from mixtures of grasses and forbs to sodbound bluegrama parks which have little value to wildlife. Continued livestock grazing at current levels would perpetuate this undesirable condition. Conclusion There would be a slight but unmeasurable decline of mule deer, elk, and bighorn sheep habitat from present conditions. Available forage and competition with livestock would remain at current levels. Impacts on Aquatic Resources The NO Action Alternative would result in a small continued decline in aquatic resources resulting from current livestock grazing management practices. About 5 miles of stream would remain in good or excellent condition while 13.83 miles of stream would remain in poor condition. On Pass Creek, 1.50 miles in fair condition would improve to excellent, due to the creek's natural recovery from a severe flood in 1976 which lowered its profile rating from excellent to fair. Stream shading, streambank stability, stream channel stability, and streambed sedimentation would not be expected to change if present management is continued. Without any improvement of these four stream characteristics and with streambank conditions declining, the overall downward trend of aquatic TABLE 4-11 IMPACT RATINGS FOR THE NO ACTION CHAPTER FOUR – 53 ALTERNATIVE ON VARIOUS BIG GAME AND WILDLIFE SPECIES ASSOCIATIONS ON PUBLIC LANDS! Big Game Wildlife Species Association? Riparian Mule Bighorn and Mountain - Deer Elk Antelope Sheep Broadleaf Shrub Conifer Grassland Grazing Use: AUMs at time of implementation 2 3 3 2 1 3 3 2 AUMs at 5 years 2 3 3 2 1 3 3 2 AUMs at 20 years 2 2 3 2 1 3 3 2 Period of use (rest standard) NA Management Facilities: Storage tanks (water) NA Pipeline (water) NA Reservoirs NA Water troughs NA Spring developments NA Rainfall catchments NA Wells (water) NA Brushland plowing NA Prescribed burning NA Selective thinning NA Fencing NA Land Actions: Disposal NA Acquisition NA Access NA Administration: Allotment combination NA Totals ET –F– -ā- –F– -ā- + -ā- –F– Elements Considered 3 3 3 3 3 9 3 3 Rating 2.0 2.7 3.0 2.0 1.0 3.0 3.0 2.0 Average impact rating for whole alternative 2.3 *The rating system is as follows: 1 = Most significant adverse impact 2 = Adverse impact 3 = Minor or no impact 4 = Beneficial impact 5 = Most significant beneficial impact *See Royal Gorge URA Step II, Animals, for list of animals by preferred habitat sites. resources would be expected to continue: 1.50 miles would improve, 51.50 miles would remain stable, and 56.30 miles would decline. The resources that would decline are already in poor or fair condition; decreases in fishery production would be small or slight. The declining trend would continue on 37.50 miles of stream where grazing occurs until an equilibrium attributable to current grazing practices would be reached. The remaining 14 miles of stream would decline to a point determined by natural conditions. Streambanks would also continue to deteriorate. Impacts on Recreation Recreation use of the Arkansas River would be Unchanged. Activities such as rafting, picnicing, Camping, geologic and wildlife viewing, and fishing would not be affected by continuation of present livestock management practices. Small unnoticeable declines in the quality of big game habitat along with losses in quantity of habitat on private land would reduce recreational big game hunting by about 350 days (Table 4-3). The loss would increase the gap between the projected demand for big game hunting and the amount resources would be able to provide. The No Action Alternative would not be expected to change the amount of fisherman days in the EIS area. The quality of fisheries habitat and fish production would remain the same. With no change in fish production, no additional fishing pressure would be anticipated. There would be no impacts on areas with primitive values and characteristics. Impacts on Economics and Social Values Impacts on Economics Production per animal would decline, taking the form of fewer calves, smaller calves, and less weight gain on yearlings. As production per animal declines, a small decrease in the economic return per animal would result. Economic losses would be insignificant on a regional basis, but would increasingly impact individual ranchers. Recreation-related income would be negatively impacted by a loss of $44,576, mostly attributable to a loss of hunting days. This would be of little significance to the regional economy. 54 – ROYAL GORGE ENVIRONMENTAL STATEMENT RECREATION IS PART OF MULTIPLE USE Major recreational activities in the EIS area are fishing, camping, and wildlife viewing along the Arkansas River. Steep surrounding hillsides, a highway, and a railroad right-of-way prevent livestock from grazing along much of the river. A bighorn sheep herd in- habits the hills across the river and frequently may be seen during summer and fall. Impacts on Social Values There would be no impact on the social attitudes or expectations of people engaged in the production of livestock. Impacts on Water Resources Impacts on Water Quantity Under the No Action Alternative, ground cover would not be expected to change on 562,000 acres in the EIS area. Since changes in runoff are dependent on changes in ground cover, runoff would remain at current levels. On 30,000 acres in 6 units, ground cover would be expected to diminish by about 1 percent over the next 20 years (Appendix Table B-1). Based on the SCS Flood Hydrograph method of calculation, this would result in a very slight increase in runoff (less than 1 percent) over the long term. The No Action Alternative would have no measureable effect upon the sediment load in either the Arkansas or South Platte River (PSAC method). There would be no change in consumptive use of water by livestock and wildlife nor in ground water quality and quantity. Impacts on Water Quality Without increasing the sediment loads of the Arkansas or South Platte Rivers, there would be no change in the water quality of either river. Impacts on Soils Since livestock grazing would continue at its present levels and no new range improvements would be constructed, watershed condition would be expected to remain essentially the same for the next 20 years. Impacts on Archaeology Damage to archaeological remains due to livestock trampling and trailing would continue at its present rate. Sites previously undisturbed by livestock would remain undisturbed. Without improving vegetative cover and reducing erosion, remains would continue to be exposed and susceptible to vandalism or livestock damage. There would be no vandalism attributable to range improvement projects. Impacts on Visual Resource Management (VRM) Areas currently overgrazed would continue to deteriorate. Vegetative cover would diminish slightly over the long term, but not enough to change any of the four basic VRM elements. With this gradual change, visual variety and therefore visual quality would also gradually diminish, but contrast due to lack of cover would not exceed allowable VRM contrast ratings. Impacts on Forestry Implementation of the No Action Alternative would not involve thinning or burning of forested areas and would therefore not affect forestry production. Summary The No Action Alternative, if implemented, would not meet any of the eight MFP objectives as outlined in Chapter 1. The following resources would suffer: watershed, vegetation, livestock, wildlife, fisheries, and recreation. ELIMINATION OF GRAZING Impacts on Vegetation The Elimination of Grazing Alternative would, in general, be beneficial to the vegetation resource. Plant vigor would improve significantly along with slight improvement in cover and production (Stoddart and Smith, 1955). Seedlings of the more desirable forage species, which would normally predominate without grazing, would eventually become re-established (Mueller-Dombois and Ellenberg, 1974). Composition would improve only slightly since it requires a longer period of time to show significant change. Vegetative types would not change. The predicted increase in live vegetative cover of 1.8 percent is not great, but it is a significant increase (8 percent) over current cover (Appendix Table B-2). Changes in vegetation occur very slowly in areas of harsh edaphic and climatic conditions (Stoddartet al., 1975) such as the Royal Gorge EIS area. The apparent trend in range condition would stabilize over the long term and more significant changes in range condition would be noticeable over an extended term of 25-50 years (Stoddart and Smith, 1955). Riparian vegetation would be expected to improve dramatically by the elimination of grazing. Improvement on stream reaches classified as "fair" and "good" would begin immediately. The 13.8 miles of riparian habitat classified as "poor" would stabilize as herbaceous and woody plants begin to establish themselves, as evidenced in the Texas Creek study area. Those in poor condition would achieve a "good" classification within 20 years. Ninety-five miles of stream in the EIS area would be in good or excellent Condition. Trespassing livestock would limit improvement on portions of streams because riparian areas would be grazed first. It is difficult to assess the impact of infrequent trespass on riparian habitat, but it is expected to be minimal. Improved watershed conditions would buffer water flow during high- and low-flow periods and extend riparian vegetation further onto alluvial fans. Since public land is intermingled with private grazing land, fences would have to be constructed. The Construction of 6,000 to 10,000 miles offence would be necessary to guarantee elimination of grazing. As many as 10,000 acres would be disturbed in building the fence. Initially vegetation would be lost on the fence line to permit construction. Following completion of fences, 600 to 2,000 acres would remain perpetually disturbed due to trailing and periodic maintenance. With the loss of grazing use on public lands, private ranges and agricultural land could be more intensively managed for more forage production to meet additional need. This could benefit vegetation on private lands if production and management are improved sufficiently to meet this need. If not, condition of private ranges could decline. Conclusion Upon implementation, all of the 39,369 AUMs presently harvested by livestock would no longer be available. In some respects, this would be beneficial. The apparent downward trend on public rangelands would reverse itself. All of the 341,834 acres currently showing downward trend in range condition would become stable. Range condition would not change because it depends on large changes in component factors—vegetative production, density, cover, and species composition—which would take much longer than 20 years, the long-term endpoint for the EIS. Smaller beneficial changes would take place, however. Vegetative cover would gradually increase 8 percent, from 22.5 to 24.3 percent of total cover, after 20 years. Vigor and production of desirable forage plants would improve and composition of rangeland vegetation would shift toward more desirable species for grazing. Impacts on Livestock Elimination of livestock grazing from public lands (3 percent of total livestock production in the Royal Gorge Planning Area) (Bartlett et al., 1979) would constitute an insignificant decrease in total livestock production over the entire EIS area. About 39,369 AUMs of forage production or 3,280 animal units of livestock production would be lost each year. Use of private land for grazing would probably increase with elimination of grazing on public land if herds are not reduced. Because of the generally better vegetative condition and production of private land in this EIS area, livestock would benefit from higher Quality forage. Increased production per animal, improved animal health, larger calf crops, and fewer losses could indirectly result in the short term (Sims, 1975). If management and production of private lands were not improved to sustain the increased grazing use, the decline in vegetative condition and production would have a significant adverse impact on livestock over the long term. If management and production of private lands were improved to sustain the increased use, benefits to livestock would be significant in the long term. Livestock would graze ranges of higher quality and production year around. At present, they must graze the largely unsuitable lower producing, lower forage Quality ranges of public land during a portion of the year. If such a practice continues, it would, in effect, depress potential livestock production (Stoddart et al., 1975). IMPACT RATINGS FOR THE ELIMINATION OF GRAZING Impacts on Wildlife Total elimination of grazing on public lands within the EIS area would variously affect the biological community (Table 4-12), favoring species that are associated with grassland habitats at the expense of mountain shrub-associated Species. Many wildlife species would benefit from increases in cover and forage. Lusby et al. (1963) found that ground cover index on mixed soil types was significantly higher (4 percent) on ungrazed areas than on grazed areas at the end of 5 years. The long-term effects on wildlife habitat are harder to evaluate, but most wildlife authorities agree that some livestock grazing is needed to protect species diversity and population health and stability (see Preferred Alternative, Wildlife). TABLE 4-12 CHAPTER FOUR – 55 Impacts on Mule Deer Overall, elimination of grazing would improve big game habitat for about 20 years after implementation, with habitat condition diminishing slightly thereafter. Competition between livestock and big game on spring ranges would be eliminated, significantly benefiting mule deer; 22,598 acres of spring and summer deer habitat would improve. However, in a study conducted in Colorado, Rogers (unpublished paper) found that initial recovery of various browse species is faster with no grazing, but more forage is produced with moderate use over a period of 3 to 4 years. Some increase in big game populations would be expected the first few years following implementation because more spring forage would be available. At first, an apparent increase in population would Occur as deer that formerly grazed on private land during Spring would graze on public land instead. Actual increases in deer population would require 4 to 5 years. ALTERNATIVE ON VARIOUS BIG GAME AND WILDLIFE SPECIES ASSOCATIONS ON PUBLIC LANDS! Big Game Wildlife Species Association? Riparian Mule Bighorn and Mountain Deer Elk Antelope Sheep Broadleaf Shrub Conifer Grassland Grazing Use: AUMs at time of implementation 2 3 3 3 4 3 3 4 AUMs at 5 years 4 4 3 3 5 2 3 4 AUMs at 20 years 4 4 3 3 5 2 3 4 Period of use (rest standard) NA Management Facilities: Storage tanks (water) NA Pipeline (water) NA Reservoirs NA Water troughs NA Spring developments NA Rainfall catchments NA Wells (water) NA Brushland plowing NA Prescribed burning NA Selective thinning NA Fencing 2 4 3 3 5 2 3 4 Land Actions: Disposal NA Acquisition NA Access NA Administration: Allotment Combination NA Totals T2- TET T2- TZT TST –F T2- -H- Elements considered 4 4 4 4 4 4 4 4 Rating 3.0 3.7 3.0 3.0 4.7 2.2 3.0 4.0 Average impact rating for whole alternative 3.3 "The rating system is as follows: 1 = Most significant adverse impact 2 = Adverse impact 3 = Minor or no impact 4 = Beneficial impact 5 = Most significant beneficial impact *See Royal Gorge URA Step II, Animals, for list of animals by preferred habitat sites. 56 — ROYAL GORGE ENVIRONMENTAL STATEMENT These increases would be offset later, however, by losses unrelated to grazing management such as subdivision of private lands and other conflicting human USeS. The extensive fencing necessary to enforce nonuse would disrupt big game movement and cause some wildife losses (Papez, 1976). Numbers lost and degree of disruption of normal movement patterns would depend to some degree on yearly weather cycles, hunting pressures, and other nongrazing factors. Impacts on Elk Initally, removal of livestock would benefit elk habitat by eliminating competition between livestock and elk for forage in the spring. At other times of year, the elk diet shifts more toward forbs and away from grasses, however, and cattle grazing promotes the growth of forbs. Anderson and Scherinzinger (1975) found in their study on elk that when cattle are removed from a jointly-used area elk numbers gradually decline because forage quality declines. An apparent increase in elk population would occur initially because elk would be attracted to public land from adjacent habitat by the increased availability of spring forage. Some increase in elk population would actually occur after 4 to 5 years but would eventually decline to near present levels. Impacts on Antelope Antelope would be relatively unaffected. No additional forage would be provided during the crucial winter period since antelope rarely use public land in the winter. Competition with cattle would be reduced during summer and this would improve the overall quality of antelope habitat. Impacts on Bighorn Sheep Elimination of grazing would not affect bighorn sheep. As riparian areas adjacent to sheep habitat improve, bighorn sheep might extend their home range to utilize these lush sites and the sheep population might increase slightly. Impacts on Riparian-Broadleaf-Associated Species The riparian sites would benefit more from this alternative than any other habitat. Livestock concentrate on lowlands, meadows, and along watercourses and this has severely impacted riparian vegetation within the EIS area. Within 5 years, riparian habitats would improve significantly as cover and food increase. Associated wildlife populations would improve in stability, health and diversity. Impacts on Mountain Shrub-Associated Species Elimination of grazing would promote grassland habitats at the expense of mountain shrub sites. Grass not grazed during its growing season tends to burgeon and dominate a site by obtaining its nutrients, water, and light at the expense of young browse plants. Wildlife, especially deer and elk, would lose a necessary diversity of vegetation to fulfill their yearlong nutritional needs. Cover and nesting sites for other wildlife species would also be lost. Domination by grasses, however, could take 50 to 100 years developing to a point where it would seriously impact wildlife. Impacts on Conifer-Associated Species This type would be unaffected by elimination of grazing. Grasses would not be expected to invade established conifer stands without the aid of fire Or logging. The cover provided by conifers would not be affected. Impacts on Grassland-Associated Species Grassland habitat, like riparian habitat would be expected to improve significantly. Grass species would increase in density, vigor, and production providing additional food, a greater variety of food, and additional ground cover which is now lacking or greatly deficient. The reduction in livestock use would benefit more than just herbivores. As indicated by Galliziolis (1977), when a severely overgrazed area was rested and allowed to recover small bird population increased more than 100 percent. Conclusion With the elimination of grazing, big game habitat would improve in the long term, principally because of the removal of competition for spring forage. Benefits would actually be limited, however, because livestock grazing promotes the growth of various forage species which are the mainstay of mule deer and elk diets during summer, fall, and winter. The net effect would be beneficial to elk and mule deer, antelope and bighorn sheep would be largely unaffected. Riparian-broadleaf-associated Species would improve in stability, health, and diversity. Grassland habitat would improve at the expense of shrubland habitat, although domination of shrubland sites by grasses, which would reduce diversity of food, cover, and nesting sites, would not happen for 50 to 100 years. Coniferous habitat would be unaffected. Impacts on Aquatic Resources The Elimination of Grazing Alternative would have both short- and long-term beneficial impacts on aquatic resources. Condition of 45.45 miles of stream would change from poor or fair to good or excellent. Ten miles of stream in fair condition and 4 miles in poor condition would remain so due to natural Conditions. All 109.30 miles of stream in the EIS area would become approximately stable or improving, with variations resulting from yearly fluctuations in climate. Stream shading would improve as woody riparian vegetation would grow and herbaceous species would increase in vigor and density. These improvements would be expected within 5 years. As herbaceous species gain in vigor, density, and production, streambank conditions would improve significantly. Litter would accumulate, increasing resistance to erosion. Streambank stability would also improve as woody and herbaceous species become established. In the absence of trampling by livestock, less sediment from streambanks would be deposited in streams. Stream channel stability would improve as a consequence of these other improvements. Sediment would be reduced from surrounding streams in the watershed as cover and litter in these areas accumulated. As a result, food supply to Cold water trout species would increase, improving fish reproduction (see Preferred Alternative, Aquatic Resources). Fishery production on 24.25 miles of feeder stream in the lower Arkansas drainage would be expected to increase two to three times. Use of these streams by fishermen would increase but would not significantly affect fish supply to the Arkansas River, the principal fishery in the EIS area. Impacts on Recreation Recreational uses of the Arkansas River would not be affected if grazing on public lands were eliminated. Livestock use is remote from recreational resources. Improving big game habitat would increase their numbers and subsequently increase hunter days by 1,350, most of which (900 days) would be attributable to increases in the mule deer population. Improving the quality of fisheries habitat on 45 miles of stream would increase fish production and subsequently fisherman use on these streams. If production were to improve 2 to 3 times on these streams, fishermen days would increase from 122,979 to an estimated 135,359 days. Without improvement of fish production, fisherman days would remain relatively stable. Primitive values and characteristics would not be changed if grazing were eliminated on public lands. Impacts on Economics and Social Values If grazing were eliminated, incomes of ranch operators using public lands would be cut back, in some cases, severely. Some Operators would have to give up cattle grazing as a livelihood. Impacts on Income Impacts on Ranch Income As a group, ranch operations having less than 200 head of cattle would incur a loss in net revenues related to cattle grazing of $426,744 (Table 4-5) per year. Each operator would incur an average loss in net revenues of $5,927 per year and would become very dependent upon nonranching income. As a group, ranch operations having more than 200 head of cattle would incur a loss in net revenues related to cattle grazing of $209,832 per year. Each operator would incur an average loss in net revenues of $9,992 per year, but would still show an average profit of $27,500 per year. Impacts on Construction Income The type of improvement needed to carry out the elimination of grazing on public lands is shown in Table 4-13. An estimated 6 to 10 thousand miles of fencing would be needed costing from 18 to 30 million dollars (1978 dollars). TABLE 4-13 ESTIMATED CONSTRUCTION COSTS OF RANGE IMPROVEMENTS OF THE ELIMINATION OF GRAZING ALTERNATIVE — (1978 Dollars) |tem Units Dollars Pipeline (Miles) O O Water Storage Tanks (No.) O O Reservoirs (No.) O O Water Troughs (No.) O O Spring Developments O O Catchments (No.) O O Wells (No.) O O Plowing (Acres) O O Burning (Acres) O O Thinning O O Fencing (1,000s of Miles Millions of Dollars) 6 - 10 18 - 30 Cattleguards (No.) O O Total (Millions of Dollars) 18 – 30 Impacts on Government Income It is not known if increases in BLM staff would be required for carrying out the Elimination of Grazing Alternative, but for the purposes of this analysis it is assumed that none would be. Impacts on Employment Beneficial impacts to employment would be felt in construction activities related to the construction and maintenance of fencing. Negative impacts would Occur when the ranch labor force would be cut back due to losses in public land grazing privileges. In the long term, 27 person-years of labor would be lost (Table 4-7). Impacts on Government Finance and Tax Base Local property tax collections would be reduced $7,120 per year (Table 4-8) as a result of elimination of grazing, but this loss would be insignificant in the EIS area. Impacts on Recreational Values Recreation days would increase by 13,770 (Appendix Table F-9), mainly attributable to hunting and fishing. Growth in income expected from expenditures for goods and services would be $617,349. Income growth attributable to increases in hunting days would be $164,998; increases in fishing days would contribute $452,351. This increase in income would be of little regional significance. Impacts on Social Values The reductions set forth in the Elimination of Grazing Alternative would conflict with attitudes and expectations of operators whose cattle presently graze lands administered by the BLM. As borne out at public meetings, these people feel grazing should continue as a necessary and defensible use of public lands. TOO little information is available on individual operators and their economic options to determine social impacts wrought by elimination of grazing. Some operators would be forced out of business but most would continue their operations, perhaps at a lower level. Those who quit the business could be forced to relocate, either to a new community where conditions are more favorable for raising livestock or to a "new place" within this community such as a tenant operator. In extreme cases, they might be forced to leave the rural environment and seek residence and employment in towns or cities. Others might continue their lifestyle by finding new livelihood in the rural environment. Some who suffer economic hardship but do not quit business would seek employment to replace lost livestock-related income. Ranches now producing livestock could be sold and subsequently subdivided for rural homesites. There is already a large influx of people into the EIS region caused by development of energy resources. Population growth in the region will inevitably cause a shift in the socio-political spectrum away from a predominantly rural and agrarian Society. Conclusion Elimination of grazing would have adverse effects economically. Net revenues to 21 large ranchers would decrease from an average of $34,449 per year per rancher to $24,457 while net revenues to 72 small ranchers would decrease from an average of $352 to an operating loss of $5,575 per rancher per year over the long term. Long-term ranch labor losses would total 26.6 person-years. Total yearly property tax collections from all ranchers, large and small, would average $7,120 per year less over the long term. Fences costing an estimated $18 to $30 million (6,000 to 10,000 miles total) would have to be constructed by ranchers and would yield no economic return to them. With improvement of riparian and wildlife habitat, hunting and fishing would be expected to improve (Table 2-5). Associated increases in recreation days would be accompanied by expenditures for goods and Services, bringing more money into the local economy. The total increase for all recreational activities would average $617,349 per year over the long term (20 years), but would have little regional significance. CHAPTER FOUR – 57 Impacts on Water Resources Impacts on Water Quantity Elimination of grazing should result in an increase in total ground cover, about 8 percent overall. This, in turn, would reduce flood peak runoff by about 13 percent or 15 CSM in the long term (SCS Flood Hydrograph method). Reductions in average flood peak runoff would reduce erosion rates and associated Sediment loads in perennial and ephemeral streams. Sediment loads in the Arkansas River would be reduced by 409,680 tons (24 percent of present levels). Elimination of grazing would result in a 100 percent decrease in consumptive use of water by livestock, or 45 acre-feet annually. There would be an increase in wildlife consumption, estimated at 1 acre- foot per year. Due to improved ground cover and better infiltration of water into the soil, a very slight increase in available ground water should occur. Quality of ground water would not be affected. Impacts on Water Quality Water quality in the Arkansas River would be improved by an unquantifiable amount as sediment from public lands is reduced 24 percent. Impacts on Soils Runoff and sediment yield would be reduced as plant vigor, ground cover, and litter increase. Sediment yield on 5,274 acres already intensively managed would decrease from 1.16 to 0.54 tons/acre/year. A decrease of 65 percent would occur on another 554,791 acres, from 1.55 to 0.54 ton/acres/year. No changes would be anticipated on 70,395 acres that are presently not being grazed. Sediment yield estimates have been calculated by use of the PSIAC method. Short-term soil loss due to 6,000 miles Of fence construction would be insignificant. From 3,000 to 6,000 acres of surface would be disturbed, but would be revegetated naturally within 2 to 3 years. Impacts on Archaeology Elimination of grazing may be beneficial to archaeological resources. Vegetative cover would improve with the removal of livestock, reducing exposure of artifacts due to erosion and their alteration and destruction due to livestock trampling and to vandalism. Constructing 6,000 to 10,000 miles of fence would increase accessibility to previously remote areas, which would increase vandalism. Damage due to vandalism is not quantifiable. Impacts on Visual Resource Management Improving the cover, density, vigor, production, and composition of the forage-producing grasses could change two of the basic elements of a landscape, color and texture. The color of the landscape might be slightly changed from earth colors of browns and reds to greens and yellow of vegetation. The addition or 58 – ROYAL GORGE ENVIRONMENTAL STATEMENT increase of plants could change the texture of a landscape by covering erosion patterns or changing vegetative types. Texture would be changed as barren or nearly barren areas are covered, removing the barren landscape and replacing it, at least in the foreground, with a vegetated landscape. The changes would be evident only at major viewpoints along roads and highways. Highway 50 through the Arkansas Canyon provides the majority of viewpoints of public land in the EIS area. Since cattle rarely graze there, there would be no changes in livestock management and therefore no changes in vegetation in the canyon. Existing basic elements of that landscape would not change. Impacts on Forestry Elimination of livestock grazing would not involve vegetative manipulations of forested areas and would therefore not impact forestry production. Increases in growth of grasses associated with implementation of the Elimination of Grazing Alternative would prevent or retard the establishment of seedlings. Grass plants and shrubs are beneficial to seedlings by providing shade which keeps soil temperatures down, but they also compete with pine seedlings for soil moisture and nutrients. In the long term, effects would be offsetting and localized. Steeper slopes where livestock do not graze would not be impacted. Summary The Elimination of Grazing Alternative, if implemented, would meet only three of the eight MFP objectives outlined in Chapter 1. Objectives of improving fish habitat, reducing erosion rates, and enhancing recreational values would be met. Objectives of improving livestock grazing habitat, providing livestock forage on a sustained yield basis to 250 management units, providing improved access facilities, and increasing wildlife forage and population levels through intensive management would not be met. MANAGEMENT CONSTRAINTS ALTERNATIVE Impacts on Vegetation As indicated earlier, policy requires that there be a compromise alternative between the Preferred Alternative and elimination of all grazing on public lands. The Management Constraints Alternative is this compromise. Under the Preferred Alternative, there would be 77 intensively managed units. Under Management Constraints, grazing on 50 of these (totaling 232,589 acres) would be eliminated. The remaining 27, covering 146,791 acres, would be intensively managed. On the 50 units where elimination of grazing would take place, vegetative cover would increase 8 percent after 20 years, from 22.5 percent total cover to 24.3 percent of total cover (Table 4-1). On the 27 units that would be intensively managed, vegetative cover would increase 12 percent after 20 years, from 22.5 percent total cover to 25.2 percent of total cover. Improved vigor and desirable species composition would cause slight cover and production improvement on elimination of grazing and intensively managed units (Stoddart and Smith, 1955). Aggregate ratings of forage plant vigor on the 77 units would improve from poor/fair to fair/good on 379,380 acres of public land. As a result, apparent range trend would change from downward to either stable condition or improving trend on 270,781 acres. The continued loss of desirable species would be abated (Humphrey, 1962). Improved range condition would not be expected over the long term as major changes in composition are not expected (Stoddart and Smith, 1955). Another 278 units covering 188,840 acres would be managed nonintensively under the Management Constraints Alternative. No improvement in ground cover would be expected on these units because there would be no change in present management of them. Impacts to vegetation on private lands would depend on how livestock operators reacted to adjustments in grazing on public lands. If they would cut back their herd size in proportion to grazing reductions, there would be no impact on private lands. If they would graze the same size herd after cutbacks, condition of their range could decline significantly. A study on Texas Creek suggests that riparian vegetation would improve dramatically if grazing were eliminated. Improvements along streams classified as "fair" and "good" would begin immediately. In the long term, 68 percent of the riparian habitat would be classed as "good" or "excellent." Decline on 13.8 miles of riparian habitat classified as "poor" would cease as herbaceous and woody plants begin to establish themselves. Riparian areas in "poor" condition would improve to "good" condition within 20 years. Out of a total of 109 miles of stream, 61 miles would be in "good" or "excellent" condition. Trespassing livestock would limit improvement on portions of streams because areas would be grazed first. The impact of infrequent trespass on riparian habitat is difficult to assess but would be expected to be minimal. Improved watershed conditions would buffer water flow during high- and low-flow periods and extend the riparian vegetation further onto alluvial fans. Burning, thinning, and plowing on intensively managed units would improve vegetative vigor, density, and production but significant change in vegetative types toward more desirable species would not occur in the relatively short time of 20 years. Prescribed burning would be carried out on 3,160 acres on 5 management units, selective thinning on 4,000 acres on 10 management units, and brushland plowing on 1 unit involving 100 acres. Three reservoirs, 22 springs, and 10 catchments would be constructed. Impacts of the development of these water facilities would be similar to those in the Preferred Alternative. Approximately 1,000 to 2,000 miles of fence would be constructed to ensure elimination of grazing, disturbing as many as 2,000 acres of surface in the short term. About 400 acres could remain disturbed in the long term due to trailing of stock along fence lines and periodic maintenance. Conclusion Upon implementation, a reduction in livestock use from 39,369 AUMs to 10,413 AUMs would occur on public rangelands. Over the long term, vegetative cover would increase 9 percent, from 22.5 to 24.6 percent of total cover. Of the 438,959 acres of range suitable for grazing, 341,834 acres presently exhibiting a downward trend in range condition would become stable. The condition of some range would improve; 100 more acres would reach excellent condition, 7,160 more good condition, and 7,160 acres less would be in poor condition. Beneficial impacts on condition would be attributable to land treatments. The number of AUMS annually available would gradually increase, reaching 14,659 after 20 years. Impacts on Llvestock Grazing would be eliminated on 50 of the units proposed for intensive management in the Preferred Alternative, totaling 232,589 acres. Unallotted status would be applied to units currently unallotted and proposed for unallotted status in the Preferred Alternative. On all of these units combined, 4,159, AUMs of livestock grazing or 347 animal units of livestock production would be eliminated. This is less than 1 percent of total livestock production in the region (Bartlett et al., 1979). Intensive management would be carried out on 27 units. Initially, there would be a reduction from 9,342 to 3,232 AUMs, but in the long term (20 years), there would be an additional 2,872 AUMS available on a sustained-yield basis, totaling possibly as much as 6,104 AUMs. If range condition improves and grazing is reintroduced on the 50 units where grazing would be eliminated, up to 7,478 AUMs would be available on a sustained-yield basis. On nonintensively managed units there would be no impacts because reductions (15,434 AUMs to 7,181) would reflect the amount of forage currently being harvested on those lands. Operators on the 27 intensively managed units, which would require increased herding of cattle and maintenance of proposed range facilities, would have higher operating costs. The proposed water projects would improve livestock distribution within units and reduce the amount of time and energy livestock spent traveling to water (Vallentine, 1971). Stocking at proper levels would reduce grazing pressure on areas that have been overutilized (Stoddart et al., 1975). The combined effect would be a small but unquantifiable improvement in livestock condition and production (Stoddart and Smith, 1955). Fencing would facilitate range administration by allowing BLMeasier detection of trespass. Impacts on Wildlife The Management Constraints Alternative is the most beneficial of the alternatives for wildlife (Table 4- 14). Big game and riparian habitats would receive significant benefits, while grassland sites would benefit to a lesser degree. Impacts on Mule Deer Competition for food with livestock would end on 50 management units (232,589 acres) where grazing would be eliminated. Plant production as well as vigor and composition would improve. Competition would be reduced on 27 intensively managed units. There, light grazing of important wildlife browse plants by livestock would stimulate external bud development and increase production of new and tender shoots, producing a better class of browse. TABLE 4-14 CHAPTER FOUR – 59 IMPACT RATINGS FOR THE MANAGEMENT CONSTRAINTS ALTERNATIVE ON VARIOUS BIG GAME AND WILDLIFE SPECIES ASSOCATIONS ON PUBLIC LANDS! Big Game Wildlife Species Association? Riparian Mule Bighorn and Mountain Deer Elk Antelope Sheep Broadleaf Shrub Conifer Grassland Grazing Use: AUMs at time of implementation 4 4 4 3 5 4 3 4 AUMs at 5 years 5 5 4 3 5 4 3 4 AUMs at 20 years 5 5 5 3 5 2 2 5 Period of use (rest standard) 5 5 5 3 5 2 2 5 Management Facilities: Storage tanks (water) NA Pipeline (water) NA Reservoirs 4 4 3 3 4 3 3 4 Water troughs NA Spring developments 4 4 3 4 4 3 3 4 Rainfall catchments 4 4 3 4 4 3 3 4 Wells (water) NA Brushland plowing NA Prescribed burning 4 4 3 4 3 3 2 4 Selective thinning 4 4 3 4 3 3 2 4 Fencing 4 4 3 3 5 3 3 4 Land Actions: Disposal 3 3 3 3 3 3 3 3 Acquisition 4 4 4 4 4 4 4 4 Access 4 4 3 3 3 3 3 3 Administration: Allotment combination 4 4 3 4 4 4 4 4 Totals 58 58 48 49 57 46 41 55 Elements considered 14 14 14 14 14 14 14 14 Rating 4.1 4.1 3.4 3.5 4. 1 3.3 2.9 3.9 Average impact rating for whole alternative 3.7 "The rating system is as follows: 1 = Most significant adverse impact 2 = Adverse impact 3 = Minor or no impact 4 = Beneficial impact 5 = Most significant beneficial impact *See Royal Gorge URA Step II, Animals, for list of animals by preferred habitat sites. The addition and improvement of water sources would better distribute livestock over the range. Generally, the development of water facilities improves availability of water for wildlife, but sometimes extends livestock use to previously little or only seasonally grazed areas so that competition develops. The degree of impact, both beneficial and adverse, will be addressed and mitigated in the individual AMPs on a Site-by-site basis. Impacts of fencing would be similar to those of water facilities, but would, in addition, create physical barriers to normal wildlife movement. Regardless of mitigation, some loss of life and disruption of movement would be unavoidable but minor (Papez, 1976). Impacts of land treatments such as brushland plowing, selective thinning, and prescribed burning are difficult to evaluate because exact location, vegetative composition, slope, and other pertinent data would not be indicated until AMPs are written. In general, using large brushland plows often kills native plants, especially highly preferred forbs. Selective thinning in forested areas and woodlands improves habitat for deer and elk, increasing shrub and other forage production without destroying escape cover. Prescribed burning can create a more favorably mixed community of grasses, forbs, and shrubs as well as setting back overaged, dominant shrubs (Beardall and Sylvester, 1973). Where pinyon-juniper is removed the density of grasses, forbs, and shrubs is higher, which is favorable to mule deer. As a result of the Management Constraints Alternative, 50,961 acres on 31 units with spring and summer mule deer habitat would be improved (Appendix Table H-2). There would also be 7,902 acres of deer habitat degraded by facilities and fences. Impacts on Elk Elk would benefit from increases in spring and Summer forage on six management units where livestock use would be eliminated. Increased water availability would generally not, by itself, improve the quality of elk habitat. It would, however, redistribute livestock into areas previously rarely or not-at-all used, creating some competition for spring forage but also improving browse production. Cover would be altered on 4,000 acres of coniferous habitat where it is thinned. This would improve the quality of habitat by providing food in areas adjacent to cover where none now exists. 60 – ROYAL GORGE ENVIRONMENTAL STATEMENT There would be 4,780 acres of elk habitat improved and 1,000 acres degraded by facilities and fences (Appendix Table H-2). Reserving large areas of habitat for wildlife would improve the quality of cover. This could attract elk from Other areas as well as increase all populations, but by how much cannot be estimated. Impacts on Antelope Impacts on antelope would be insignificant. Impacts on Bighorn Sheep Elimination of grazing on 3 management units would reduce livestock use on public lands adjacent to bighorn sheep habitat. Bighorn sheep might expand their home range into these areas. Water developments on public lands would improve 2,276 acres of sheep habitat (Appendix Table H-2). Land treatments, management facilities and fences would not generally impact sheep. Impacts on Riparian-Broadleaf-Associated Species Excluding livestock from 50 miles of wetlands would allow rejuvenation of terrestrial riparian vegetation and associated wildlife (see Aquatic Resources). Riparian habitat would improve significantly in 5 years. Associated wildlife populations would also benefit, improving in stability, health, and diversity. Food and cover provided by woody and herbaceous species of plants would increase. Impacts on Mountain Shrub-Associated Species The Management Constraints Alternative would improve vegetative species diversity, increase the quality and quantity of nesting and escape cover, and provide a greater supply of forage for wildlife. Intensive management on 27 units would maintain the desired plant mix, vigor, densities, and production to provide wildlife with the diversity of vegetation required to fulfill their yearlong nutritional needs (see Preferred Alternative, Wildlife). By contrast, elimination of grazing on 50 management units would increase productivity of forage plants rapidly but would not maintain it for more than 5-10 years (Rogers, unpublished paper). Without light grazing by livestock external bud development would not be stimulated and tender new shoots of browse would not grow. In addition, cover and nesting sites for other wildlife would be lost as shrubs give way to grasses. Domination of sites by grasses, however, could take 50 to 100 years to develop to a point where it would seriously impact wildlife. Development of water would increase wildlife and livestock use of drier areas, where mountain Shrub OCCUſ.S. Land treatments such as thinning or burning (7,390 acres) would convert stands of conifer or decadent mountain shrub areas to young productive stands of mountain shrub habitat or grassland. This would provide additional food for wildlife as well as livestock. Competition would be greatest in riparian areas, which are used in the spring. Without improving food production in those areas, wildlife use of mountain shrub would not increase. Some direct loss of wildlife (drowning) would be inevitable with the expanded use of drinking troughs and steel rib Stock tanks. These losses would be minor and somewhat offset by the inherent capacity of the water to attract and Sustain invertebrate populations, improving the base of the entire food web within intensively managed areas. Impacts on Conifer-Associated Species Under this alternative, 4,000 acres of conifer would be converted to grassland or mountain shrub. Forage production would increase at the expense of cover for large animals. Smaller animals would not suffer loss of COVer. Animals indigenous to coniferous areas would lose a small amount of habitat but the edge effect provided by thinning would compensate for the loss of cover. Creation of smaller areas of food within large patches of cover would improve the quality of the habitat slightly. Livestock use of these areas would also increase, thereby increasing competition with wildlife. Impacts on Grassland-Associated Species Grassland habitat would benefit greatly. Forage plants would improve in vigor, production, and density, providing additional food for larger herbivores and creating more cover for smaller animals. Conclusion Wildlife habitat would benefit more under the Management Constraints Alternative than any of the others. On 27 intensively managed units, forage production would increase and growth of more and better browse would be promoted. Elimination of grazing on 50 other units would eliminate competition but would hurt browse production in the long term. Mule deer and elk would be the principal beneficiaries of any improvement. Antelope would be unaffected. Bighorn sheep would benefit from new water developments, which might lead them to extend their habitat. Riparian habitat would improve greatly where grazing would be eliminated. Land treatments would create smaller areas of food within large patches of cover, improving the quality of coniferous habitat slightly. Grassland habitat would benefit greatly. Forage plants would gain in vigor, production, and density, providing food for large herbivores and cover for smaller animals. Impacts on Aquatic Resources The Management Constraints Alternative would have beneficial impacts on 8 of 50 management units where grazing would be eliminated. Stream profile ratings on 11.25 miles of streams in these units would improve to good or excellent condition, bringing the total length of stream in good or excellent condition to 61.10 miles. Of this total, only 1.50 miles would improve due to factors other than livestock management. About 48 miles of stream would remain in poor or fair condition, 14 miles because of natural conditions. In the long term, 56.25 miles of stream would become stable, 10.20 miles would decline, and 42.85 miles would improve (Table D-3). Where grazing would be eliminated, 11.25 miles on eight streams, stream shading would improve. Woody species would re-establish themselves and herbaceous species would improve in vigor, density, and production because removal of livestock would allow plants to increase their food reserves and meet their physiological growth requirements. There would be an accompanying improvement in streambank conditions. Trampling of banks would cease, allowing woody Species to become established and cover to develop. Stream channel stability would improve as woody and herbaceous species become established, making streambanks better able to withstand floods and erosion. Sedimentation in streambeds would diminish as cover in the surrounding watershed increases and banks become more stable. On seven streams, totaling 22.63 miles, intensive management would improve streambank conditions because of vigorous reproduction of herbaceous Species. On nine streams totaling 10.2 miles where nonintensive management would continue, no change in condition or apparent trend of fisheries habitat would OCCur. As a result of Management Constraints, fish production would be expected to increase by two to three times on 11.25 miles of feeder stream. Some increase in the recreational use would be expected but most of the greater production would benefit fisheries on the Arkansas River. Where woody species become established, moderate livestock grazing could be reintroduced without harm to the aquatic resource. It is not known how long re-establishment of reintroduced woody species would take but the process would be observed and studied by BLM. Impacts on Recreation Recreational uses of the Arkansas River would not be affected by the Management Constraints Alternative since livestock grazing takes place in areas remote from recreational resources. Improving the quality of big game habitat would increase the number of big game, primarily mule deer. Subsequently, the number of hunters using the area would increase an additional 2,005 hunter recreation dayS. The quality of fisheries habitat would improve on 22 miles Of Stream and recreational use of these streams would subsequently increase by 7,000 fishermen days. The number of fishermen using the Arkansas River would not change. Water facilities would be developed in Brown's Canyon. These developments would be screened and hidden by vegetation and blended into the surrounding area as much as possible, but primitive values could still be diminished. Effects of this are not quantifiable. Impacts on Economics and Social Values Agriculture, in its regional setting, is not a major contributor to generation of personal income. Only Fremont and Teller Counties contribute an appreciable amount (1.5 to 2.0 percent) to their respective county's total income (USDI, BLM, RGRA, PAA, 1978). Reduced grazing on BLM-administered lands would not have a significant effect on the regional economy. Factors considered in impact analysis in the EIS are population, income (including range livestock- related income, contract construction-related income, recreation-related income, and government-related income), employment, public finance and tax base, and Social values. Grazing units that would be less than intensively managed would not affect these factors Since reductions in vegetation allocation would be made to reflect the amount of forage currently being harvested on them rather than being true reductions. As a result, operating costs in the form of grazing fees would be slightly lower. Resulting impacts on ranch equity would only be very minor if not negligible because the number of AUMs from public land contributing to the equity of these ranches is very small Compared to the AUMs derived from private land. With a couple of exceptions, this also holds true for units where grazing would be eliminated. Where elimination of grazing would have a major impact on the operator, units are included in the economic analysis. Aside from these units, only impacts resulting from 77 units which have been proposed for intensive management under the Preferred Alternative are analyzed because major impacts would derive only from them. Income Impacts on Ranch Income Ranch operations having less than 200 head of Cattle would incur a total loss of net revenues related to cattle grazing of $365,616 per year in the short term (5 years) and $312,264 per year over the long term (Tables 4-4 and 4-5). Each rancher would incur an average short-term loss of $5,078 per year and a long-term loss of $4,337 per year. These ranchers, particularly the Smaller ones, could become more dependent on nonranching income. The method by which these Statistics were derived appears in Appendix F. Ranch operations having more than 200 head of Cattle would incur a loss Of net revenues related to cattle grazing of $307,923 per year in the short term and $284,445 per year over the long term (Tables 4-4 and 4- 5). Each operator would incur an average short-term loss of $14,663 per year and a long-term loss of $13,545 per year. Despite this reduction in net revenues, intensive management would still yield an average annual net profit per operator of $20,904. Impacts on Construction Income Types of improvements needed to stabilize and improve the condition of the range under intensive management are shown on Table 4-15. They are estimated to cost $6.5 million (1978 dollars) and contribute significantly to the income of construction industries in the seven-county region. An estimated 2,000 miles of fence construction would be necessary to keep trespass livestock off the 50 units where grazing would be eliminated. At an estimated cost of $3,000 per mile, $6 million would be spent on border trespass fence out of the $6.5 million total spent for range improvements. These fences would not benefit livestock production and would benefit other resources in a minor way. All riparian habitat could be protected and all vegetation could be reserved for the benefit of wildlife or watershed resources. Fence construction would yield few economic benefits, if any. Impacts on Government Income Four additional staff people would be hired by the Royal Gorge Resource Area to implement intensive management. Assuming an average of $15,000 per employee in salary and benefits, an increase of $60,000 in annual personal income would be generated. This would be very small in proportion to current government-related income in Fremont County, where most of the new employees would be located. TABLE 4-15 ESTIMATED CONSTRUCTION COSTS OF RANGE IMPROVEMENTS OF THE MANAGEMENT CONSTRAINTS ALTERNATIVE — (1978 Dollars) |tem Units Dollars Pipeline (Miles) O O Water Storage Tanks (No.) O O Reservoirs (No.) 3 7,500 Water Troughs (No.) O O Spring Developments 22 15,400 Catchments (No.) 10 50,000 Wells (No.) O O Plowing (Acres) 100 2,500 Burning (Acres) 3,160 63,200 Thinning (Acres) 4,000 400,000 Fencing (Miles) 2,000 6,000,000 Cattleguards (No.) Total 2 3,200 6,541,800 "Estimated figure; exact figure will be determined when AMPs are completed. CHAPTER FOUR – 61 Impacts on Employment The principal benefit of intensive management would accrue to the construction industry through construction of range improvements. The ranch labor Sector would suffer a decline in employment accompanying cutbacks in vegetation allocations on public land. Table 4-7 depicts these ranch labor losses. In the short term, a reduction of 22.7 person-years of labor would result from intensive management. In the long term, 3 of these years would be regained, resulting in a long-term net loss of 19.2 person-years. An estimated four additional BLM employees would be hired to implement intensive management, which could be considered a beneficial though not a major impact. Impacts on Government Finance and Tax Base Collections of local property taxes would be reduced by $6,075 per year during the short term (5 years) and $5,139 per year in the long term (Table 4-8). Given total property tax revenues of $34,086 for cattle ranches involved in the Royal Gorge Grazing EIS area, losses would amount to 16 percent and 7 percent in the short term and long term, respectively. Within the Seven-county region this loss in tax revenue would be negligible. Impacts on Recreational Values Wildlife populations would increase more under this alternative than any of the others. Income attributable to both hunting and fishing would increase moderately in the region due to an increase of 9,005 recreation days (Appendix Table F-10). Growth in income expected from expenditures for goods and services would be $458,932. The hunting share would be $233,301 while fishing would contribute $225,631. These additional expenditures by sportsmen would be of little regional significance. Impacts on Social Values Reductions set forth in this alternative would Conflict with the attitudes and expectations of people engaged in livestock production who presently use lands administered by BLM. As borne out at public meetings, these people feel that grazing should continue as a necessary and defensible use of public lands. At least 90 percent of the operators would be affected, either by reduction, elimination, or change in management. Social impacts are directly related to economic impacts. Too little information is available on individual operators and their economic options to determine social impacts. Some operators would be forced out of business but most would continue their Operations, perhaps at a lower level. Ranches now producing livestock could be sold and Subsequently subdivided for rural homesites. There is already a large influx of people into the EIS region caused by development of energy resources. Population growth in the region will inevitably cause a Shift in the Socio-political spectrum away from a predominantly rural and agrarian society. Conclusion Net revenues to 21 large ranchers would decrease from an average of $34,449 per year per rancher to $19,786 over the short term but would average $20,904 per year per rancher over the long term. Net revenues 62 – ROYAL GORGE ENVIRONMENTAL STATEMENT to 72 smaller ranchers would decrease from an average of $352 per year per rancher to an average net operating loss of $5,078 in the short term and an average net operating loss of $4,337 over the long term. Range improvements would cost $6.5 million. Ranchers would pay $5.9 million for fencing to keep livestock off public lands. BLM would provide $604,000 for range improvements. In the short term, a total of 22.7 person-years of ranch labor would be lost. Some Of that would be recovered because employment would increase as range improves and stocking level is again increased. Over the long term, labor losses would total 19.2 person-years. Total yearly local property tax collections from all ranchers, large and small, would average $6,075 less per year in the short term and $5,139 less per year over the long term. Income would increase in the government sector by $60,000 due to costs of administering the program. Increases in recreation days would be accompanied by expenditures for goods and services, bringing more money into the local economy. The total increase for all recreational activities would average $458,932 per year over the long term. Impacts on Water Resources Impacts on Water Quantity A slight decrease in runoff should occur on 27 intensively managed units totaling 146,791 acres as vegetative cover increases (Appendix Table G-1). The decrease would be about 3 percent (3.8 CSM) due to an average increase in ground cover of about 2 percent in the long term (Appendix Table B-2). There would be a greater decrease in runoff from 50 allotments (232,589 acres) where grazing would be eliminated. On these units, ground cover would increase about 16 percent with a resulting decrease in runoff of 15 CSM, or 13 percent, based on the SCS Flood Hydrograph method. In units 133, 194, 224, 230 and 231, a total of 3,160 acres would be scheduled for burning of oakbrush in order to establish more forage. This action would result in a short-term (2-3 year) decrease in ground cover with accompanying increases in runoff and sediment load. Increases should be highest during the first year (depending on storms) and are estimated to average 61 CSM of runoff and 3,000 tons of sediment load per year. In the long term, runoff and sediment load would approach pre-treatment levels. Thinning of pinyon-juniper stands is proposed on 4,000 acres in units 97, 126, 142, 193, 197,204, 230, and 231. An increase in runoff and sediment load would be expected after treatment. Initial increases in runoff would be 29 CSM and 220 tons per year per square mile of sediment. As ground cover increased over the short term, sediment yield and runoff would decrease slightly from pre-treatment levels (Pase and Lindenmuth, 1971), stabilizing in the long term. Average annual sediment loads in the Arkansas River would decrease by 275,200 tons (15 percent of present levels). No changes in sediment loads in the South Platte River would be expected (PSIAC method, Appendix G). There would be a 75 percent decrease in consumptive use of water (about 38 acre-feet per year) by livestock. Use by wildlife would increase by 1 acre- foot per year, or 2 percent. No changes in ground water quantity or quality are anticipated. Impacts on Water Quality Water quality would be improved by an unquantifiable amount as sediment introduction into the Arkansas River is reduced 15 percent. Conclusion Consumptive use of water for livestock would decrease from 50 acre-feet to 12 acre-feet per year. Runoff from rangelands would decrease, reflecting increases in vegetative cover and production. Volume of runoff from a 10-year storm would gradually decrease to 94 percent of current levels after 20 years. Over the same period, peak flow from 10-year storms would be reduced 3 percent. Impacts on Soils On 27 intensively managed units, sediment yield would decrease from 1.55 to 1.16 tons/acre/year as vegetative cover increased. On 50 units where grazing would be eliminated, sediment yield would decrease from 1.55 to .54 tons/acre/year. There would, in addition, be a slight increase in sediment yield (0.65 tons/acre/year) on 59 currently unallotted units (29,610 acres) that would be managed nonintensively under the Management Constraints Alternative. There would be essentially no change on the remaining 219 nonintensively managed and 13 unallotted units. Sediment yield estimates have been calculated by use Of the PSIAC method. There would be a short-term Soil loss of 3,183 tons from range improvements and land treatments, less than 1 percent increase over present levels. Long-term soil loss would be negligible. Impacts on Archaeology Elimination of grazing on 50 units would benefit archaeological resources. Vegetative cover would improve with the removal of livestock, reducing exposure of artifacts due to erosion and their alteration and destruction due to livestock trampling and to vandalism. Intensive management on 27 units would also increase Cover and reduce erosion but an unquantifiable amount of vandalism could occur to sites located near range improvement projects. Impacts on Visual Resource Management Improving the cover, density, vigor, production and composition of the forage-producing grasses could change two of the basic elements of a landscape, color and texture. The color of the landscape might change slightly, from the earth colors brown and red to the green and yellow of vegetation. The addition or increase of plants could change the texture of a landscape by covering erosion patterns or changing vegetative types. Texture would be changed as barren or nearly barren areas are covered, removing the barren landscape and replacing it, at least in the foreground, with a vegetated landscape. The changes would be evident only at major viewpoints along roads and highways. Highway 50 through the Arkansas Canyon provides the majority of view-points of public land in the EIS area. There would be no changes in livestock mangement and therefore no changes in vegetation in the canyon. Existing basic elements of that landscape would therefore remain the same. Range improvement facilities such as pipelines, storage and watering tanks, fences, and temporary roads would contrast with an otherwise natural landscape. These impacts would be short term and highly localized, however. There would also be short- term visual intrusions related to land treatments such as plowing, burning, and thinning. None of the adverse impacts would threaten outstanding scenery or primitive and wildland areas. None of the adverse impacts identified above exceed allowable Visual Resource Management contrast ratings. For criteria and methodology, see BLM Manual, Section 8400. Impacts on Forestry Increases in growth of grasses associated with implementation of the Management Constraints Alternative would prevent or retard the establishment of seedlings. Grass plants and shrubs are beneficial to seedlings by providing shade which keeps soil temperatures down, but they also compete with pine seedlings for soil moisture and nutrients. In the long term, effects would be offsetting and localized. Steeper slopes where livestock do not graze would not be impacted. Thinning 4,000 acres of pinyon-juniper would produce about 20,000 cords of firewood. Current value of firewood is $5 per cord and would result in $100,000 in revenues being collected over 20 years. Burning 3, 160 acres of Oakbrush would decrease conifer seed sources. Forest product revenues would not be impacted. Summary Implementation of the Management Constraints Alternative would result in seven of the eight MFP objectives being met. Increased livestock forage objectives would not be achieved. Objectives for improving livestock grazing habitat, providing forage on a sustained yield basis, improving fish habitat, reducing erosion rates, enhancing recreational values, improving access, and increasing wildlife forage would also be met. NONINTENSIVE MANAGEMENT ALTERNATIVE Impacts on Vegetation Adjusting the grazing level through proper vegetation allocation is the first step in managing for the improvement of rangeland. Nonintensive management, which would adjust grazing levels without providing a rest standard, would not provide for the needs of the desirable forage species (Appendix Table B-2). Therefore, major changes in vegetative composition would not occur and vegetative types would not be affected. Range condition would not improve without increasing percent composition of desirable species; 435,276 acres of public land would remain in poor or fair condition. The gradual apparent downward trend of most of the rangeland resource would continue and eventually reach equilibrium where it has not already done SO. Although percent composition of desirable species would not increase, plant vigor would improve, increasing forage production slightly. Forage production would, however, remain far below potential. Forage production increases would be very small and would be offset by continued deterioration of vegetation in livestock concentration areas. Condition, trend, and production in these areas would not change or would decrease slightly. Approximately 50 miles of riparian habitat would be fenced to prevent further deterioration and to improve habitat. This would require approximately 100 miles of fence. Within fenced enclosures plant vigor would improve in the short term; cover, production, and composition would improve over the long term. Impacts on Llvestock The major impact of nonintensive management on livestock would be the reduction of grazing on public lands from 39,369 AUMs to 14,212 AUMs. With this reduction, 2,096 animal units per year would be lost, about 2 percent of livestock production in the region (Bartlett et al., 1979). Livestock production per animal, TABLE 4-16 CHAPTER FOUR – 63 however, would be improved with less grazing on the unsuitable range (Stoddart et al., 1975). Two hundred seventeen operators would not be impacted because reductions would reflect the amount of forage they are currently harvesting from public lands. Ninety-three other operators would be forced to reduce their herds or find additional feed Or pasturage. If additional use would be forced on private land without improved management and production, condition Of these lands would decline. Fencing of 50 miles of riparian habitat would not significantly impact livestock production. Livestock on 24 allotments would be forced to utilize lower quality and less accessible forage and would gain weight more slowly. Impacts on Wildlife The proposed reductions in livestock use without a rest standard for forage plants would not notably increase the amount of food or quality of cover for wildlife (Table 4–16). IMPACT RATINGS FOR THE NONINTENSIVE MANAGEMENT ALTERNATIVE ON VARIOUS BIG GAME AND WILDLIFE SPECIES ASSOCATIONS ON PUBLIC LANDS! Big Game Wildlife Species Association? Riparian Mule Bighorn and Mountain Deer Elk Antelope Sheep Broadleaf Shrub Conifer Grassland Grazing Use: AUMs at time of implementation 2 2 3 3 4 3 3 3 AUMs at 5 years 2 3 3 3 4 3 3 4 AUMs at 20 years 3 3 3 3 5 3 3 4 Period of use (rest standard) NA Management Facilities: Storage tanks (water) NA Pipeline (water) NA Reservoirs NA Water troughs NA Spring developments NA Rainfall catchments NA Wells (water) NA Brushland plowing NA Prescribed burning NA Selective thinning NA Fencing 3 3 3 3 5 3 3 2 Land Actions: Disposal 2 2 3 3 2 2 2 2 Acquisition 4 4 3 4 4 4 4 4 Access NA Administration: Allotment combination NA Totals TGT + TET TST T2: . TET TET TST Elements considered 6 6 6 6 6 6 6 6 Rating 2.7 2.8 3.0 3.2 4.0 3.0 3.0 3.2 Average impact rating for whole alternative 3.1 "The rating system is as follows: 1 = Most significant adverse impact 2 = Adverse impact 3 = Minor or no impact 4 = Beneficial impact 5 = Most significant beneficial impact 2See Royal Gorge URA Step II, Animals, for list of animals by preferred habitat sites. 64 – ROYAL GORGE ENVIRONMENTAL STATEMENT Impacts on Mule Deer Reduction in livestock numbers without a change in period of use would not diminish big game-livestock competition for early spring grasses and forbs generally. In areas where livestock concentrate, such as riparian zones, competition for forage during the spring would remain intense. Construction of 50 miles of fence to protect riparian habitat would provide additional forage for big game and increase cover for all species of wildlife in the short term. Fencing would exclude livestock but not wildlife from riparian areas, particularly benefiting mule deer and elk in spring and summer. Although fences constitute physical barriers to wildlife (Papez, 1976), loss of life and disruption of movement would be expected to be minor. The combined effects of livestock reductions and fencing would be improvement of 18,238 acres of mule deer habitat on 17 management units and degradation of 4,360 acres (Appendix Table H-3). Some increases in mule deer population would be expected initially but would be offset later by losses from causes unrelated to grazing management such as subdivision of private lands and other conflicting human uses. Impacts on Elk Reductions in livestock numbers would generally reduce competition between elk and cattle. Since most cattle use in the spring is on rangelands that are lower in elevation than those used by elk, reduction of competition would have minimal impact. As a result of reduced livestock use, approximately 3,960 acres of elk spring-summer habitat in 6 management units would be improved (Appendix Table H-3). Impacts on Antelope Antelope would not be impacted because new water sources would not be developed and quality of cover and food on their winter habitat would not be improved. Impacts on Bighorn Sheep Fencing portions of Fourmile and Eightmile Creeks (11 miles) would improve the quality of forage in riparian areas, improving 900 acres of adjacent sheep habitat (Appendix Table H-3). Impacts on Riparian-Broadleaf-Associated Species Fencing of riparian zones would allow plants to increase in density, vigor, and production and allow litter to accumulate. This would improve cover and availability of food and increase the ecological stability, health, and diversity of wildlife species using those areas. Impacts on Mountain Shrub-Associated Species This habitat type would not be affected by nonintensive management. Without providing forage plants a rest standard, areas grazed in the spring and summer would not be expected to show an improvement in vegetation, food, or cover. Impacts on Conifer-Associated Species Without providing rest standards, no changes in the vegetative makeup of this habitat type would be expected. Impacts on Grassland-Associated Species Without providing a rest standard, no changes in the vegetative makeup of this habitat would be expected. Impacts on Aquatic Resources Where livestock use is excluded by fencing, 11.25 miles of stream would improve from poor or fair condition to good or excellent (Appendix Table D-4). No improvement would take place where livestock use is reduced but no rest standard applied. Grazing does not affect 63.5 miles of the 109 miles of Stream in the EIS area. The profile rating on 11.25 miles of stream in the EIS area would improve to good or excellent, bringing the total to 61.10 miles. Some reaches (48.20 miles) would remain in poor or fair condition, 14 miles of which would never improve because condition is limited by other factors. Under the Nonintensive Alternative, trend of condition on 45 miles of stream would continue to decline (56.30 at present), 62.75 miles would be stable, and 1.50 miles would improve (Appendix Table D-4). Stream shading would improve where woody species become re-established and where herbaceous species gain in vigor and density. Elimination of grazing by fencing would allow plants to grow and meet their physiological requirements. Streambank conditions would also improve as cover, density, production, and litter increase. Streambank stability would improve as woody Species re-established themselves and streambanks became more resistant to erosion. Trampling of banks by livestock would stop also, further improving stability. Channel stability as a whole would improve and less sediment would be deposited in streambeds. Fish would more easily find food and spawn and the fishery would benefit. Fish production on 11.25 miles of stream would improve two to three times as a result of improving stream condition. Some increase in recreational use of fisheries in these streams would be expected but most benefits would be realized on the Arkansas River. On 34.50 miles of stream where grazing would continue, conditions would remain unchanged. Mere reduction of grazing alone has been shown not to benefit aduatic resources. Impacts on Recreation Reducing livestock use on management units adjacent to the Arkansas River would not affect recreational uses of the river. Improved big game habitat could eventually result in an increase in big game numbers and subsequently hunter use of the area, by an additional 1,060 hunter fish production. TEXAS CREEK RIPARIAN AREA IS COMING BACK After two years without livestock grazing, herbaceous and woody riparian vege- tation (grasses) has grown high and is continuous to the water's edge. ground, woody species of vegetation are beginning to regenerate themselves. Improvement in riparian vegetation will lead to a two- to three-fold increase in In the fore- days. The largest increase could be experienced in deer hunting (Table 4-3). The quality of fisheries on 11.25 miles of stream would improve, resulting in an increase of 4,970 fishermen days. This increase would occur only on Smaller streams that feed the Arkansas River. Primitive values and characteristics Of Brown's Canyon and Beaver Creek would not be affected by reductions in livestock use. Impacts on Economics and Social Values Economic impacts of the Nonintensive Alternative would be the same as for the Preferred Alternative. Analysis of these impacts was based only on the 77 units proposed for intensive management in the Preferred Alternative. The other units were not analyzed because they contained too little public land to have a significant impact. Impacts on Income Impacts on Ranch Income Range operations having less than 200 head of Cattle would incur a total loss of net revenues related to Cattle grazing of $297,864 per year (Table 4–4). Each rancher would incur an average long-term loss of $4,137 per year over the long term. These ranchers, particularly the smaller ones, would become more dependent on nonranching income. Further elaboration of the method by which these statistics were derived appears in Appendix F. Ranch operations having more than 200 head of cattle would incur a loss of net revenues related to cattle grazing of $146,559 per year over the long term (Table 4-4). Each operator would incur an average loss of $6,979 per year. Despite this reduction in net revenues, each operator would still show an average net profit of $30,000 per year. Impacts on Construction Income Range improvement would consist of 100 miles of fencing. Estimated cost would be $300,000 and would not contribute significantly to the income of Construction industries in the seven-county region. Impacts on Government Income Personal income in the government sector would not increase since no additional employees would be hired by the BLM. Impacts on Employment The ranch labor sector would suffer a decline in employment as cutbacks in vegetation allocations on public land occurred. Table 4–7 depicts these ranch labor losses. In the short term, a reduction of 18 person-years of labor would result from nonintensive management. No additional hiring would occur in the QOvernment Sector. Impacts on Government Finance and Tax Base Local property tax changes incurred as a result of nonintensive management would reduce property taxes collected by $5,472 per year over the long term (Table 4-8). Given a total property tax collection of $34,086 for cattle ranches in the Royal Gorge Grazing EIS area, long-term losses would amount to 16 percent. Within the seven-county region this loss in tax revenue is negligible. Impacts on Recreational Values The recreation-related impacts would be similar to those in the Preferred Alternative. AS wildlife populations increase, recreation-related income from hunting and fishing would rise. Recreation days would increase 5,970 and income to the local economy would increase $305,543 (Appendix Table F-14). The hunting share would be $126,180 while fishing would contribute $179,363. This increase in income would be of little regional significance. Impacts on Social Values Reductions resulting from implementation of the Nonintensive Management Alternative would conflict with attitudes and expectations of people engaged in livestock production who presently use lands administered by the BLM. As borne out at public meetings, these people feel that grazing should continue as a necessary and defensible use of public lands. At least 90 percent of all operators would be affected, either by reduction, elimination, or change in management. TOO little information is available on individual operators and their economic options to determine Social impacts wrought by intensive management. Some operators would be forced out of business but most would continue their operations, perhaps at a lower level. Those who quit the business might have to relocate, either to a new community where conditions are more favorable, for raising livestock or to a "new place" within this community, such as a tenant operator. In extreme cases, they might have to leave the rural environment and Seek residence and employment in towns and cities. Others might continue their lifestyle by finding new livelihood in the rural environment. Some operators who suffer economic hardship as a result of intensive management but would not quit business would seek employment to replace lost livestock-related income. Ranches now producing livestock could be sold and subsequently Subdivided for rural homesites. There is already a large influx of people into the EIS region caused by development of energy resources. Population growth in the region will inevitably cause a shift in the socio-political spectrum away from a predominately rural and agrarian Society. Conclusion Net revenues to 21 large ranchers would decrease from an average of $34,449 to $27,470 per year per rancher while net revenues to 72 Smaller rancherS would decrease from an average of $352 to a net operating loss of $3,785 per year per rancher over the long term. Long-term ranch labor losses would total 17.9 person-years. Total yearly property tax collections from all ranchers, large and small, would average $5,472 less per year over the long term. Range improvements, limited to fencing of riparian areas to protect them from livestock, would cost $300,000. CHAPTER FOUR —65 Increases in recreation days would be accompanied by expenditures for goods and services, bringing more money into the local economy. The total increase for all recreational activities would average $305,543 per year over the long term. Impacts on Water Resources Impacts on Water Quantity Runoff from 123,931 acres should not change since total ground cover in these areas would be expected to change less than 1 percent (Appendix Table G-1). Ground cover on 255,449 acres would improve by 1 or 2 percent in the long term (Appendix Table B-2). This would result in a decrease in peak flows of 1 percent as calculated by the SCS Flood Hydrograph method. Without changes in ground cover there should be no change in annual sediment loads in the South Platte River. Sediment load would decrease by 169,100 tons in the Arkansas (9 percent from existing levels) as ground cover increases (PSIAC method, Appendix G). There would be a 70 percent decrease in consumptive use of water by livestock (35 acre-feet per year) due to the reductions in AUMs. Consumptive use by wildlife would not be expected to change. No changes would be anticipated in ground water quality or ground water quantity. Impacts on Water Quality Although total dissolved solids and salinity in streams are related to the quantity and characteristics of sediment load, no changes in water quality should result from nonintensive management because expected changes in sediment load are small compared to existing levels. Impacts on Soils A 70 percent reduction in levels of livestock without grazing management would offer little change in sediment yield and erosion. Cattle would continue to "select" graze certain desirable areas, e.g., around water sources, salt licks, and areas of easy accessibility. Most sediment yield reduction would be long term, showing a slight decrease, from 1.55 to 1.19 tons/acre/year. Sediment yield estimates have been calculated by use of the PSIAC method. Construction of 51.3 miles of fence around riparian habitat would disturb 25 to 50 acres of surface; soils losses would be short term and insignificant. Complete rehabilitation would occur in 2 or 3 years. Impacts on Archaeology Vegetative cover would change only slightly, which would maintain erosion and exposure of cultural remains at their present rates. Developing 50 miles of fence would not appreciably increase vandalism. - 66 – ROYAL GORGE ENVIRONMENTAL STATEMENT Impacts on Visual Resource Management (VRM) Changes in vegetative cover, production, vigor or composition would not be expected. Without changes in vegetation there would be no changes in any of the four basic VRM elements. Visual contrasts which would result from constructing 50 miles of fence would be short term and highly localized. None of the fence construction would threaten outstanding scenery. Impacts on Forestry Implementation of the Nonintensive Alternative would not involve vegetative manipulation of forested areas and would therefore not affect forest production. Summary The Nonintensive Alternative, if implemented, would fail to meet five of the eight MFP objectives as outlined in Chapter 1. Objectives for improving fish habitat, enhancing recreational values, and providing forage on a sustained yield basis to 250 management units would be met. Objectives not met include improving livestock grazing habitat, increasing vegetation production, and thereby providing more livestock forage on a sustained yield basis, improving access facilities, increasing wildlife forage, and reducing erosion rates. THE RELATIONSHIP BETWEEN LOCAL SHORT-TERM USES OF MAN’S ENVIRONMENT AND THE MAINTENANCE AND EN- HANCEMENT OF LONG-TERM PRODUCTIVITY Productivity of the environment would be affected by implementation of the Preferred Alternative. In this context, "short-term" refers to productivity accruing 5 years after implementation, "long-term" to productivity accruing 20 years after. Cumulative Impacts The Preferred Alternative would not generally lead to impacts beyond those discussed in Chapter 4. However, widespread success on intensively managed units could lead to intensive grazing management on additional units on public lands. This would result in impacts similar to those discussed for the Preferred Alternative. The major factor in the EIS area's future is expected to be the exploration for and development of uranium. These activities would probably have profound social and economic impacts. Grazing management would have little, if any, effect on energy development and its impacts. Energy development, on the other hand, could have significant impacts on grazing management as land is diverted from livestock operations to mining activities and residential and commercial development. Long-term adverse impacts arising from the Preferred Alternative in the EIS area are listed below. Note that impacts associated with high density grazing periods, while of only several weeks' or months' duration, are considered to be long-term since they would occur repeatedly as long as the grazing systems are in effect, i.e., up to 20 years into the future. 1. Reductions in foliage volume and plant carbohydrate stores during each periodic, high density grazing period. 2. Modification of 18,530 acres of pinyon-juniper and conifer types due to vegetation manipulation. 3. A decrease of five AUM's of forage production resulting from the loss of between 47 and 152 acres to range facilities. 4. Increased soil compaction and decreased litter during periods of high density grazing. 5. An increase in big game mortality of about five mule deer per year due to fencing. 6. Increased wildlife/livestock competition during periods of high density grazing. 7. The loss of an unknown amount of riparian and aquatic habitat due to the replacement of surface flow with piping. 8. Higher operating costs of the 77 intensively managed allotments because of increased herding of livestock and maintenance of range facilities. 9. Initial decreases in income, market values, and EIS area tax base due to stocking reductions. 10. The creation of visual contrasts due to juxtaposition of grazed and rested pastures, vegetation manipulation, and range facilities. 11. Increased vandalism and inadvertent damage to cultural resources. Trends Significantly Impacting Environmental Values The proposal would result in the following trends: 1. Improvement in vegetation, soil, watershed, and wildlife resource values (see Chapter 4 for quantification of improvements as they would exist 20 years after implementation). 2. Offsetting beneficial and adverse impacts on visual resources. Increased visual quality of vegetation over the entire EIS area would offset local visual disturbances created by the juxtaposition of grazed and rested pastures and the presence of vegetation manipulation projects and range facilities. 3. Potential degradation (loss or destruction) of cultural resources. LONG- AND SHORT-TERM BENEFITS This section enumerates long-and short-term benefits arising out of the proposal and highlights the tradeoffs (adverse impacts) necessary to bring these about. Risks to Health and Safety The proposal would result in minimal risks to health and safety. The 151 miles of fence to be constructed as part of the proposal would be a safety hazard for snowmobilers, motorcyclists, and horseback riders. The level of risk is considered to be minimal. Alteration in Quality of Life The proposal would generally improve the quality of life. The increased vegetative production would result in increased production of red meat per animal which would benefit both livestock operators and the public. Improvement in wildlife habitat and numbers would increase recreational opportunities, i.e., hunting and sightseeing. Less tangible, but perhaps most important, is the overall protection and enhancement of environmental resources—vegetation, soil, water, and wildlife—for both present and future generations. These resources are useful not only for commodity production; they also contribute to the quality of recreational and wilderness experience. Tradeoffs would be necessary to achieve the objectives of the proposal. In some cases, quality of life would diminish in local areas or for specific individuals. Overall, however, quality of life would be enhanced should the proposal be implemented. Summary Taking into account both the benefits and tradeoffs which would result from implementation of the proposal, the net effect would be an enhancement of natural ecosystem productivity (vegetation, soils, watershed, and wildlife) and human productivity (active qualifications, income, market values, and EIS area tax base). The proposal would generally support NEPA Section 101 (b) goals. There would be minimal risks to health and Safety. |RREVERSIBLE AND IRRE- TRIEVABLE COMMITMENTS OF RESOURCES WHICH WOULD BE INVOLVED IF THE PREFER- RED ALTERNATIVE WERE IM- PLEMENTED The irreversible and irretrievable commitment of resources resulting from the Preferred Alternative are described below. The term irreversible refers to use that is incapable of being reversed; once initiated, use would continue. The term irretrievable means essentially irrecoverable or not reasonably retrievable; once used, the resource would not be readily replaceable. Vegetation manipulation would result in the irreversible loss of 18,530 acres of conifer and pinyon- juniper vegetation types and an initial, irretrievable loss of soil due to increased erosion. Burning 4,900 acres of the mountain shrub vegetation would result in the irreversible loss of 4,900 acres of that type and an initial, irretrievable loss of soil due to increased erosion. Brushland plowing would result in the irreversible loss of 200 acres of half-shrub vegetation type but no increase in erosion. Construction of range facilities would result in the loss of 43 to 145 acres which the facilities would Occupy. Loss of forage in the area removed from production would be irretrievable and amount to approximately 5 AUMs annually for the life of the proposed projects. Soil disturbance would result in Some irretrievable losses of soil in the short term. The development of range facilities could disturb Certain cultural resources, either through direct impact or through vandalism. Once disturbed, historical and archaeological sites, as well as artifacts, would no longer be available for future study. This would deplete Or alter the nonrenewable Cultural resource base and could result in a data gap in the history of an area. Cultural resource loss would be irreversible and irretrievable. The Preferred Alternative would involve commitment of material associated with the proposed improvements. Once installed, these materials would be irretrievably committed, though the materials might have some salvage value. The major irreversible and irretrievable commitment would involve the costs associated with installation, maintenance, and administration of the proposal. Once the expenditures were made, those particular funds would not be available for other public programs. An additional irretrievable commitment would involve the labor associated with the proposal. Labor, too, once expended, could not be retrieved. Irretrievable losses of tax revenue would be realized where reductions in livestock use Occurred. ROYAL GORGE GRAZING EIS TEAM CHAPTER FOUR – 67 LIST OF PREPARERS Seventeen people wrote all or parts of sections in this EIS. They are listed below. A core team of three members wrote Chapters 1 and 2, which explain the purpose of the EIS and describe the alternatives. Chapters 3 and 4 were edited by the core team from written information provided by the resource Specialists. All but one have been in their present positions with BLM at least 1 year, either in the Canon City District or at the Colorado State Office. All are knowledgeable about the EIS area. Team Name Assignment Education Experience James Sazama” Team Leader BS Wildlife BLM - 3 yrs. Wildlife Biologist MS Range Management Clay Bridges Wildlife BS Wildlife Biology Donald Prichard Fisheries BS Fisheries Biology Roy Wiley" Vegetation & Livestock BS Range-Forest Mgmt. g Technical Coordinator Jim Cunio Vegetation BS Forest Managment Dennis Zachman Recreation BS Outdoor Recreation William Schneider Erik Brekke Air Quality BS Wildlife Biology Robert Addison Soils BS Agronomy Howard Wertsbaugh Hydrology BS Watershed Roger Underwood Geology BS Geology John Martin John Beardsley Visual Resource Economic & Social Archaeology BA Geology MS Outdoor Recreation BLM - 1 yr. Range Conservationist BLM - 11 yrs. Wildlife Biologist BLM - 2 yrs. Fisheries Biologist BLM - 2 yrs. Range Conservationist BLM - 2 yrs. Forester BLM - 5 yrs. Outdoor Rec. Planner NPS - 10 yrs. Park Naturalist BLM - 5 yrs. Outdoor Rec. Planner BLM - 1 yr. Wildlife Biologist BIA - 2 yrs. Soil Scientist SCS - 3 yrs. Soil Scientist BLM - 3 yrs. Soil Scientist USFS - 15 yrs. Hydrologist BLM - 4 yrs. Hydrologist MS Ag Economics BA Anthropology BLM - 7 yrs. Geologist BLM - 3 yrs. Economist USFS - 1 yr. Archaeologist BLM - 3 yrs. Archaeologist Frederic Athearn History Ph.D. History William Dyer" Write/Edit/Review BS Chemistry MS English MA History of Science Ken Smith Wilderness BS Outdoor Recreation MS Rec. & Outdoor Adm. Stuart Parker Lands BA Economics BLM - 3 yrs. Historian BLM - 3 yrs. Writer/Editor BLM - 1 yr. Wilderness Coordinator BLM - 9 yrs. Realty Specialist *Core team members prepared Chapters 1 and 2, while other team members provided information for Chapters 3 and 4 for their team assignment. Roy Wiley, in addition to preparing Chapters 1 and 2, also provided information for Chapters 3 and 4 in Vegetation and Livestock segments. 68 – ROYAL GORGE ENVIRONMENTAL STATEMENT , APPENDICES – A-1 APPENDIX A Additional rationale and details are available in the Royal Gorge Unit Resource Analysis (URA) and Management Framework Plan (MFP), available in the Summary of Grazing Management Royal Gorge Resource Area, Canon City. Recommendations The following table is a summary of the grazing management recommendations, how they conflicted with and complemented other resource activities, management's decision on each recommendation, and trade-offs required for implemention. TABLE A-l DEVELOPMENT OF THE PROPOSAL IN MFP STEP 1 AND STEP 2 ROYAL GORGE PLANNING AREA Other MFP-1 Resource Other MFP-1 Resource Multiple Use Rationale for MFP-1 Management Recommendations Management Recommendations Recommendations Resource the Multiple Use Recommendation or URA Values Which Conflict Which Complement (MFP-2) Trade Off S Recommendations Range Management Maintain 12,930 acres of None Maintain or enhance Same a S MFP - 1 None This will reduce admin- presently unalloted pub- existing watershed ministrative costs of lic lands in 5 management conditions to maintain range management while units, permanently in existing water quality. protecting qualities this status. Restrict use of critical associated with those wildlife habitat to management units. protect ptarmigan and bighorn sheep habitat. Manage approximately Protect critical wildlife Manage approxi- Grazing will No nintensive management 147,832 acres of public habitat by fencing fisheries mately 120,010. be eliminated will allow cost effect- lands in 177 management and riparian areas, and of public lands by fencing 5 ive land management. units in a nonintensive eliminating use on other in 172 manage- fisheries. Watershed guidelines Status areas by elimination of ment units in a Five management will ensure that public grazing non intensive units (58,61, lands are grazed proper- Statu S 199, 200, and ly and critical wildlife 202) will be habitat will be fenced intensively or be managed intensive- managed to ly. Intensively managed provide man- areas will have specific agement for wildlife goals and critical wild- objectives developed in life habitat. AMPs. Fencing recrea- Grazing will tion sites to eliminate be eliminated cattle grazing will on developed protect site develop- recreation ments and improve the sites. quality of these sites. Manage approximately Grazling should be eliminated Continue or intensify Manage approxim- Improvement of Intensive grazing sys- 352, 356 acres of public on 50 miles of riparian habi- existing management a tely 378,646 riparian fish- tems will be developed land in 72 management tat and on another 128,000 to maintain or increase acres of public eries habitat, to protect general units in an intensive acres to protect critical total ground cover for lands in 77 man- critical wild- watershed conditions, Status wildlife habitat. An ad- protection of watershed agement units life habitat woody riparian vegeta- ditional 5 units with 26, 290 Iſe SOUl I C eS e in an intensive and watershed tion, and other sensi- acres should be intensively Statu S. conditions will tive a reas to ensure managed to protect critical be slower than that their condition wildlife habitat. if grazing were doesn't deteriorate. eliminated. If conditions continue Grazing should not be allowed to deteriorate or show on developed recreation sites. Grazing will no positive response to be eliminated the system, a new system Any grazing on critical water- as developed may be developed or shed areas will prevent water- recreation grazing eliminated . shed conditions from rapidly sites are com- Exclosures will be con- improving. pleted and structed in riparian fenced. areas to monitor pro- Any developments placed in gress of the grazing wilderness study areas should Installation treatment • not degrade wilderness qualities. of range im- Those placed in other areas provements will should conform to the visual not be permitted classes established for each area. in wilderness study areas until a final decision on the wilderness qualities is decided. — ROYAL GORGE ENVIRONMENTAL STATEMENT TA BLF A-1 DEVELOPMENT OF THE PROPOSAL IN MFP STEP l AND STEP 2 ROYAL GORGE PLANNING ARFA MFP-1 Recommendation Other MFP-1 Resource Management Recommendations or URA Values Which Conflict Other MFP – l Re Source Management Recommendations Which Complement Multiple Use Recommendations (MFP-2) Resource Trade Offs Rationale for the Multiple Use Recommendations Provide livestock forage on 77 intesnive units during the seasons for which there is the great- The demand for forage resources will be based on the current est demand. use periods. Provide rest periods from live stock use on all management units placed in intensive Grazing during the spring or early summer prevents cool season species from reproducing. During this time there may be intense competition for forage between wildlife and livestock. Lack of forage during the spring may be a limiting factor on mule deer within the planning area. Grazing late in the winter may also result in competition on the critical big game winter ranges. Rest periods should be provided on the nomintensive units as well as the intensive units. Certain units may require additional key species Management of water- shed and wildlife complement this rec- onmendation by having Provide live- stock forage on 35 units during the periods for which there is the greatest de- mand. The cur- rent use period will be assumed to be the period of greatest de- mand. On the other 42 intensive units use periods will be changed to late summer (August 1) to early winter January 15) Rest periods based on the phy- siological stan- dards of key Competition will still exist on units grazed in the spring and late winter. Forty-two op- erators will have to shift their operations to accommodate the new period of use. On scattered isolated tracts of public land , rest standards Grazing systems can be implemented that are designed to meet the physiological re- quirements of forage plants. By changing the periods of use to late fall/early win- ter, all plants will be rested annually during critical grow- ing periods. These units have small num- bers of AUMs and lit- tle opportunity for a highly intensive graz- ing system. Resting from grazing during the critical growing periods will allow forage plants to management status. Rest periods will be based on the physiological stand- ards required to maintain which are important to wild life. the forage plants receive a period of rest during which they can meet their species should be provided on all intensively mana- will not be pro- vided for key species. Habi- meet their physio- logical growth re- quirements. These Addi- production of the key vegetative species for the management unit on a sustained yield basis. growth requirements. ged units. tional key plants will be identi- fied for rip- arian zones. tat improvement in these areas will be very slow if improved at all. rest standards are designed to meet plant requirements while allowing livestock grazing to continue. Provide for the grazing None None Same as MFP-1. None Based on current de- of cattle on 355 manage- mand and no conflicts ment units, and for the this would best bene- grazing of horses on 9 fit the livestock op- management units. This erator and associated is based on current rangeland resources. demand. Allocate forage to live- None Watershed and wildlife Same as MFP-1. The short-term This will allow live- stock based on the 1978 management have recom- Range Survey and Suita- mended reduced lives tock benefits of im- stock grazing to con- bility data. Classify 82,342 acres of public lands in 154 management units for disposal. stocking levels to a- chieve goals and object- ives of those resources. Recreation, wildlife, forestry, minerals, and lands have identified resource values on some of the lands recommended for disposal. Certain public lands classified for disposal but having a signif- icant resource are identified to be retained in Federal ownership. proved watershed and wildlife habitat will be achieved more slowly by allow- ing any grazing . The long-term benefits to these resources by cattle graz- ing at this level will be signifi- Cante stock operators will be forced to find alternate Many live- tinue at a rate which allows wildlife habi- tat and watershed conditions to improve. feed sources since many units will be drastically reduced. Small tracts of public land which are un- manageable and have little value for other resources should be disposed of. However small tracts with sig- nificant resource val- ues will be retained. TABLE A-l DEVELOPMENT OF THE PROPOSAL IN MFP STEP 1 AND STEP 2 ROYAL GORGE PLANNING ARFA APPENDICES – A-3 Other MFP-1 Resource Other MFP-1 Resource Multiple Use Rationale for MFP – 1 Management Recommendations Management Recommendations Recommendations Resource the Multiple Use Recommendation or URA Values Which Conflict Which Complement (MFP-2) Trade Offs Recommendations Acquire 39,467 acres of None Acquisition of private Acquire 39,467 None Land acquisition will nonpublic patented lands lands would add to the acres of nonpublic expand the forage pro- in or near 29 management quality of wildlife patented lands. Ac- duction potential of units to expand forage habitat on public land. quisition is limited lands in public owner- production potential of to exchange only. ship. Outright pur- lands in public ownership chase of land would reduce the local tax base and public opin- ion is strongly against large land ac- quisition by the Federal government. Acquire easements across None None Acquire easements None A goal of the BLM is 93 tracts of patented across 93 tracts of to provide public lands in or near 49 patented lands in or access to all public management units. near 49 management lands for whatever units. All easements rea SO Iſle will be permanent exclusive. Eliminate grazing use by None Wildlife, recreation, and Same as MFP-1 . None Ecologically unique live stock on approximately watershed management also areas, lack of forage, 7,465 acres of public land recommended elimination of and critical wildlife in 8 management units. grazing on some or all of habitat would be pro- these areas. tected by the elimi- nation of grazing. Consolidate l l l grazing None None Same as MFP-l. None This will result in allotments into 39 more efficient range management units. management and reduced administrative costs with only minor inconveniences. Eliminate trespass horse None None Same as MFP-1. None It will provide a use on approximately 13,400 acres of public land Replace approximately 200 acres of existing half- shrub-grassland on 2 man- agement units by implement- ing a program of brushland plowing followed by seed- ing of desirable grass and browse species. Replace 4,900 acres of ex- isting brush-covered grass- land on 10 management units with a more desirable vege- tative community by imple- menting a program of pre- scribed burning, followed by seeding of desirable browse and grass species. Visual resource manage- ment would conflict with this recommendation if it were located so that it would be visually apparent and change the visual character of the a Tea • Burning areas with forest products such as transplants and Christmas trees conflicts with forest management recommendations to sell these products. Burning next to developed recrea- tion sites might make these sites less desirable for campers. Long-term benefits of this recommendation would be improved forage for wildlife. Increased cover would also reduce soil erosion. Wildlife management has recommended burning these same areas. Same as MFP-1. Short-term losses would be increased soil erosion and loss of forage on a short-term basis. Allow prescribed burns to be plan- ed and imple- mented. The for- est products on these sites will be sold as demand requires. No burning within 150 feet of developed recreation site S as a guideline. There may be a short-term loss of soil due to erosion but there should eventually be improved water- shed quality. Some forest pro- means of removing un- authorized live stock use from public lands in accordance with regulations Forage production will be increased without negatively impacting other resources. It will improve forage production on these sites and open up areas blocked because of overgrown vegeta- tion. Bit game habi- tat will also be improved. ducts will be lost, but this in other areas. demand can be met A-4 – ROYAL GORGE ENVIRONMENTAL STATEMENT * TABLE A-1 DEVELOPMENT OF THE PROPOSAL IN MFP STEP 1 AND STEP 2 ROYAL GORGE PLANNING ARFA MFP – 1 Recommendation Rationale for the Multiple Use Recommendations Other MFP-1 Resource Management Recommendations Which Complement Multiple Use Recommendations (MFP-2) Other MFP-1 Resource Management Recommendations or URA Values Which Conflict Resource Trade () f f S Improve approximately 18, 530 acres of existing timbered grassland on 29 management units to create more desirable vegetative communities by implement- ing a program of selective thinning followed by seed- ing of desirable grass and browse species. Construct 80 miles of 3– wire livestock fence on public land. All fences will adhere to Standard BLM Fencing Specifications modified to allow wildlife In OV ement e Install 4 cattleguards on frequently traveled roads There may be a small loss of It will improve for- age quantity and forest products. Quality for livestock Wilderness quali- and big game as well ties will be pro- as promoting eco- tected in the system stability. study areas. Roads built into these areas will be rehabilitated and closed. Carry out thin- ning on the des- cribed areas with the exception of those located in wilderness study areas. If the study areas do not become wilderness, the recommendation will be accepted for those areas also. Large areas of valuable forest products should be Wildlife management has recommended thinning these same a reas. Removal of forest products before rotation age is reached decreases the amount of pro- ductive forest land in the planning area. Thinning may not be allowed in proposed wilderness areas. crossing the public land in 3 management units. Develop 67 natural springs or seeps on the public land in 27 management units. Drill 2 water wells on public lands in 1 management unit. Construct 9 ear then reservoirs on the public lands in 7 management units. Construct 28 rainfall catchments on the public lands in 14 management units. Install 3.3 miles of water pipeline on the public lands in 3 management units. Install l water storage tank on public land. Install 95 water troughs on the public lands in 43 management units. Construction and instal- lation will adhere to BLM Specifications modified to provide escape ramps for small mammals and birds. avoided. Construction of fences may None Same as MFP-1. Some losses to Fences are needed to alter the visual character big game will distribute livestock of some areas. Wilderness occur but they over the range. Rest study areas would be neg- will be rotation pastures at ively impacted by this minimized. require fence recommendation. construction. None None Same as MFP-1. None This recommendation will facilitate range management operations. Roads leading to developed Wildlife management has Same as MFP-1. None It will better dis- springs would conflict with also recommended that tribute live stock and recreation goals in some these sites be developed. wildlife over the areas. Construction should range and may elimin- be visually acceptable to ate Overuse in some VRM classifications. a Tea Se None This benefits wild life Same as MFP-1. None Expanding water re- as well. sources will distrib- ute livestock and wildlife more evenly over public land. None This will complement Same as MFP-1. Short-term loss Providing more water wildlife by providing of productivity will better distribute additional sources of will occur on livestock and wild- Water • sites where veg- life over the range. etation has been scraped. These devices would not be This would benefit wild- Same as MFP-1. Some loss of Providing more water acceptable in the proposed life as well. Many of forage product- will better distribute wilderness study areas. these devices were also ivity will re- livestock and wild- recommended by wildlife sult when these life over the range. management. devices are constructed. None It will benefit wildlife Same as MFP-1. There will be The additional water management's goal of a short-term will better distribute providing additional soil loss due livestock and wild- Water . to erosion. life over the range. The location could change It will benefit wild life Same as MFP-1. Some visual The additional water the visual qualities of management's goal of qualities may will better distribute SOIſle a rea Se providing additional be a ffected. livestock and wild- Water • life more evenly over the range. None It will benefit wild life Same as MFP-1. Construction This will distribute management's goal of providing additional Water • will have to protect wilder- ness values and road less char- acteristics. livestock and wild- life more evenly over the range. APPENDIX B Rangeland Management Proposal Table B-1 displays the entire rangeland management proposal for 589,675 acres of public land in the Royal Gorge and Raton Basin Planning Areas. Management Framework Plans for these two areas are available for inspection at the Royal Gorge Resource Area office, Canon City. Additional rationale and methodology are detailed in these documents. Predicted Live Vegetative Cover for Management Units by Alternative Table B-2 shows present and future live vegetative cover for the proposed intensive management units only, under each alternative. Cover values are a weighted average based on BLM's 1977-78 range Survey data. Vegetative Types of the Royal Gorge EIS Area Table B-3 includes the breakdown of major vegetative types and extent of their occurrence (in acres) in the Royal Gorge EIS area. The subtypes and major species found in each are also included. Implementation Summary of Units Proposed for Intensive Range Management Table B-4 shows the schedule for development and implementation of proposed allotment manage- ment plans (AMPs). All AMPs would be developed by 1981 and implemented by 1985. Long-Term Loss of Vegetation Due to Construction of Various Range Improvement Projects Table B-5 summarizes the total long-term loss of vegetation through construction of all proposed improvements. The loss by individual type of project and total loss by type of project are also given. Methodologies for Determining Present and Predicted Conditions The present and future vegetative conditions determined include forage production, range condition, and apparent trend of range condition. Present forage production was estimated using the ocular reconnaissance method. The type of data gathered is briefly described and the method of calculation discussed. The method for determining production on less intensively surveyed units is also Gescribed. Present range condition and apparent trend determinations were constrained by various factors. The nature of these constraints, adjustments made to Overcome them, and the rationale for these adjustments are shown. Guidelines used for determining trend and condition are also included. Future forage production was difficult to estimate given present limited data. Certain assumptions were necessary for predicting vegetative responses to management and land treatments. These are indicated and discussed. Future range condition and apparent trend were similarly difficult to determine. Extrapolations had to be made based on research from other geographic areas. The basis for these extrapolations as well as the criteria for estimating condition and trend are indicated. Methodology for Determining Forage Production of Suitable Rangeland Data taken from the 1977-78 Range Survey was used to determine present forage production for vegetative types in grazing units for which allotment management plans (AMPs) are proposed. Ocular reconnaissance and 100-step-point transects were used to collect data. Both methods produce the same basic type of data: type and percent APPENDICES – B-1 of basal ground cover (vegetation, litter, bare ground, small or large rock), percent plant cover by Species (composition), and usable forage vegetation by Species. Once field data were compiled, the percent of each perennial species making up the vegetative composition was multiplied by the proper use factor (PUF) for that species by season (spring, summer, etc.). A PUF represents the percent average weight of current annual growth of a particular plant species in relation to all associated species that can be safely grazed without limiting forage production capacity (Stoddart et al., 1975). Certain forage species are preferred above others; therefore, PUFs for each species vary according to a grazing animal's preference, the season of grazing, and associated plant species. The value derived for each species was multiplied by its percent composition. These were averaged and multiplied by the total vegetative cover of perennial plants. The product of this multiplication is called the forage acre factor (FAF), which theoretically is that portion of an acre having a complete areal cover of usable forage. The proper use level would vary with the season of year because of shifts in grazing animal preferences (Cook, 1975). The FAF was calculated using PUFs for each Season a unit is grazed and a weighted average was calculated for the percentage of use for each season. Seasonal periods used were: spring, March 21-June 20; summer, June 21-September 20; fall, September 21-December 20, winter, December 21-March 20. Since all of the acres in the vegetative type may not be utilized by livestock because of such factors as steepness or accessibility, the FAF is multiplied by the utilizable acres expressed as a percentage of the total to derive the net forage acre factor (Net FAF). This figure represents the average of all acres included in the analysis that are covered by vegetation and how much of that acreage and vegetation can be utilized by livestock. Rangelands are considered unsuitable if the slope exceeds 50 percent or the Soil surface factor (SSF) exceeds 60. Percent slope was determined by field technicians using a clinometer. SSF was determined using Form 7310-12. 㺠º-º UNITED STATES By Date y DEPARTMENT OF THE INTERIOR BUREAU OF LAND MANAGEMENT Location DETERMINATION OF EROSION CONDITION CLASS Treatment affecting the SSF SOI L SURFACE FACTORS (SSF) & He . a; *:::::: ſº." #, ..". Occurs with each event. Soil Subsoil exposed over much of No visual evidence of movement | Some movement of soil particles v alo Ige ºne tre e gh r and debris deposited against area, may have embryonic dunes # racing generally less than 1" in º , may y tº tal height minor obstructions. and wind scoured depressions * - O - O l 2 3 4 5 6 7 8 9 1 O i 1 | 2 1 3 1 4 ſº a Moderate movement is apper- Extreme movement apparent, 2; Accumulating in place May show slight movement ent, deposited against large and numerous deposits Yº." at are ÉÉ obstacles against obstacles j U l 2 3. 4 5 6 7 8 9 1 0 1 | 1 2 ! 3 1 4 tº tal Iſ ſ - º - . present, coarse fragments If present, surface rock or frag- || If present, surface rock or frag 3. #::::::::::: º: of have a truncated appearance or ºº:::::::::::::::. ments exhibit same movement ments are dissected by rills #8 caused by wind or water spotty distribution caused by pattern jº ..., |2nd accumulation of smaller and gullies or are already É? wind or water y fragments behind obstacles washed away gº O l 2 3. 4 5 6 7 8 9 1 O | 1 1 2 ! 3 1 4 * Rocks and plants o destals wh92 || No visual evidence of Slight pedestalling, in flow Small rock and plant pedestels generail, º, º::::::::: Most rocks and plants ped- # pedestalling patterns occurring in flow patterns exposed estalled and roots exposed tºl J Ø, sº {-, O l 2 3 4. 5 6 7 8 9 1 O 1 1 12 ! 3 14 & tº % No visual evidence of flow Deposition of particles may be | Well defined, small, and few Flow patterns conts an silt and º:*:::::::"::": º, patterns in evidence with intermittent deposits s and deposits and alluvial fans large barren fan deposits - H. e ſº. He * O I 2 3 4 5 6 7 8 9 1 O | 1 12 1 3 1 4 15 R111s Vºy" to 6" deep occur in ex- Rills /?" to 6” deep occur in ex- sº tºº - - Some rul is in evidence, at in- - May be present at 3° to 6” deep : No visual evidence of ralls frequent intervals over 1 0" fºr.: at approximately º: area at intervals of 5 at intervals less than 5' g O 1. 2 3 4. 5 6 7 8 9 1 0 1 1 12 ! 3 1 4 Gullies are numerous and well - A few gullies in evidence which | Gullies are well developed with developed with active erosion : § May *: present in stable :*: show little bed or slope erosion. |active erosion along less than | along 10 to 50% of their lengths i.e., º: ::::::::::::: : .." |..." on channel bed Some vegetation is present on | 1.0% of their length. Soone veg- || or a few well developed gullies T. of t '. tºta tº -> and side slopes slopes. et at ion may be present. with active erosion a long more re actively eroding O than 50% of their length O 1 2 3. 4 S 6 7 8 9 | 1 1 2 1 3 1 4 15 SITUATION TOTAL Eros ton Condition Classes: Stable 0-20: Slight 21–40. Moderat r < 1 —60; Critical 6 1–80. Severe 81 - 100 ( Instructions on re vers r) B-2 – ROYAL GORGE ENVIRONMENTAL STATEMENT EXAMPLES EXAMPLE ONE EXAMPLE TWO "º EXAMPLE THREE • * * ITEM POTEN Tua LLY | IDENTIFIED | Possi B Le Port: NTIALLY | IDENTIFIED | POSSIBLE || POTENTIALLY | IDENTIFIED | Possi B LE PRI SEN r PACTORS FA CTOR Pº Lºs RNT FA CTORS FACTOR PRESENT FACTORS FACTOR Soil Movement Yes 8 14 Yes 8 14 Yes 8 14 Surface Litter Yes 9 14 Yes 9 1 4 Yes 9 14 Surface Rock Yes 7 14 No - •º º No sº- $º º Pedestalling Yes 10 14 Yes 10 14 Yes 10 14 Rills Yes 8 14 Yes 8 14 No - *E* = Flow Patterns Yes 10 15 Yes 10 15 Yes 10 15 Gullies Yes 6 1S No - - - No - q- - TOTAL 58 100 45 71 37 57 Total SSF #, 100 = $s #x 100 = 63 #x 100 - 65 100 71 57 under consideration. GENERAL INSTRUCTIONS District prepares one (1) copy and files in district with particular study Do not include items in computations which are not potentially present. Identify numerical factor that most nearly describes the conditions observed by circling the factor given for each logical item. to compute the SSF. * Wind and worer are considered eroding ogents when evaluating item Total – Total computed SSF. ** A soil with no rocks in its profile and no probobility of gullying *** A pumice soil area where no water erosion occurs SPECIFIC INSTRUCTIONS Total all factors at bottom of page. Divide total identified factors by total possible factors for items considered and multiply by 100 in order Situation – Describe situations being evaluated such as present, geo- logic, with mechanical treatment in effect for 10 years, under a 5 pasture livestock management system for last 8 years, etc. tº gº ºne-ºver 7 : P = e tº The next step in calculating the present forage production was to determine forage acre requirements (FARs) for the Royal Gorge EIS area. A FAR is that part of a forage acre necessary to support one AUM for 1 month without injury to the rangeland resource. The FARs used were .4, .5, 6, .7, and .8. These were based on relative production and palatability with .8 being used for the lowest producing, least palatable plants and .4 for the highest producers and most palatable plants. Depending on vegetative composition, the FAR used on each vegetative type was divided by the net FAF for that type and results represent the average number of acres needed to support one AUM (A/AUM). (PUFs and FARs were estimated based on input from Colorado State University range scientists, local Soil Conservation Service (SCS) and BLM specialists, as well as similar studies done in western Colorado and Nevada.) An example is shown on Form 4412-1. Form 44 12–1 U.S. DEP TMENT OF THE INTERIOR (November 1970) BUREAJ OF LAND MANAGEMENT FORAGE SURVEY TYPE WRITEUP (OCULAR RECONN A ISSAN CE MET HOO) KIND OF $º A QN GRA ZING gº TOTAL •r, COMP - SP F.C i Es A LL OW AB L E C OMPOSI- cº-r x *śr PU F TION C PU F - i SU BT OT A L BY OT A L i Writeup No. Form 4412-1 U.S. DEPAR', .NT OF THE INTERIOR Writeup No. BUREAU OF LAND MANAGEMENT (November 1970) Date Aerial Photo No. SECTIONS Twp., COMP DE E R COMP . TOTAL X sp E CIES ALL. O.W AB L E PU F S PU F PU F D PUF i SU BT OTAL wº E 0. : gº BTOTAL TOTALS Av C PUF — » Av Den = F A F — » — 7, Util = Net F A F Av S PUF * A v Den = FAF lºt %. Util : Net FAF Av D PUF – º Av Den = FAF nºt 7, Util : Net FAF Av PUF * A v Den - FAF x º, Util = Net FAF Total Net F AF_; BT OT A L TOTALS 100 ; FAR + Net FAF — = Ac/AUM Av C Puf.1%. Av Den • 2. = Far: o37. /20%. Util E Net F • Far-ſa- + Net Far.057- 40.5 ae/auw ; FAR + Net FAF : Ac/AUM Av S PUF × Av Den = F A F — » %. Util = Net FAF — ; FAR — º Net FAF : Ac/AUM ; FAR + Net FAF - Ac/AUM Av D PUF — » Av Den : FAF x %. Util = Net FAF ; FAR + Net F A F = Ac/AUM ; FAR * Net FAF — = Ac/AUM Aw PUF x Av Den - FAF x 7, Util = Net FAF ; FAR + Net FAF = Ac/AUM FAR * Net FAF. = Ac/AUM Total Net F A F-, FAR — “ Net FAF — = - _ Ac/AUM * Live stock and major game species (Other &ame species making in apprec wah (r us r are: ... } * Live stock and major game species. (Other garne species "ak in& inapp's vial, le us are: FORAGE SURVEY TYPE WRITEUP - (OCULAR RECONN A ISSAN CE METHOD) Aerial Photo No. •7, COMPOSI- Date OF © 3. Aſ CN SECTIONS Twp. 3-2/ Me ºt carriº | coºr sheep co:* TION PU ºr c pur | FUF S PU F The A/AUM value was then divided into the total acres in each vegetative type to get an estimate of the total number of AUMs available in each pasture. By comparing the total number of AUMs available on all vegetative types derived with this procedure with the present stocking rate on the allotment, it was determined whether the allotment was being stocked at the proper level or being overstocked. The nonintensive management units were mapped by vegetative type, condition, and apparent trend. These were compared to types on intensively surveyed areas having the same condition rating and similar composition, elevation, and aspect. The average forage production of these intensively surveyed areas was used to estimate production on nonintensively Surveyed units. Methodology for Determining Range Condition and Apparent Trend The evaluation of range condition and trend was accomplished using SCS methods rather than those used by BLM. The BLM condition and trend analysis requires extensive quantities of permanent study plots. This system would have been extremely difficult to implement during the short period allowed for inventory. However, the SCS condition and apparent trend evaluations provide an objective method to evaluate rangeland both rapidly was well as accurately with a minimum number of decisions required of the field technician. They are based on the ecological principles of climax vegetation and still provide flexibility to permit adjustment for different types of management. Range Condition Four range condition classes were used to express the degree to which the composition of the present plant community reflects that of climax (Cook, 1974). The Guide for Rating Range Condition (Table B-6) was used by Area BLM Specialists in rating range condition in the Royal Gorge Resource Area. Apparent Range Trend Without an initial reading for comparison, the true trend in range condition cannot be determined. Therefore, apparent trend must be evaluated from data collected at a single point in time (Stoddart et al., 1975; Cook, 1979). Five rangeland characteristics generally indicate apparent trend in range condition. These are: compositional changes, abundance of Seedlings and young plants, plant residues, plant vigor, and condition of the soil surface (Humphrey, 1962; Stoddart and Smith, 1955). The BLM Planning Manual requires evaluation of range trend on an improving, static, or declining basis. The SCS method only rates trend as improving or declining so that SCS rating points were reallocated as follows: Ratings between 0 and 7 inclusive—Apparent Declining Trend Ratings between 8 and 13 inclusive—Apparent Static Trend Ratings between 14 and 20 inclusive—Apparent Improving Trend The Guide for rating Apparent Range Trend (Table B-7) was used by Area BLM specialists in determinig apparent trend in range condition. Methodology for Determining Predicted Vegetation Production Predicted production numbers for management units in the EIS area are conservative estimates based on experience, judgment, and knowledge of local conditions. The proposed action for each management unit was analyzed with respect to the present situation. Aspects of the proposal which were applied include period of use, grazing treatment (including rangeland facilities), and land treatment. From this analysis, predictions were made for each allotment by alternative. These predictions are intended only as estimates and not specific objectives. Estimates used as objectives for AMPs would be adjusted according to more detailed information gathered during AMP development. In the absence of specific studies in this area, a study of average forage production increases for the western United States was used. Van Poolen and Lacey (1979) found that implementation of management systems and reducing stocking rates resulted in an average increase of production by 48 percent. It is assumed that in 20 years (long term) following such action there would be at least a 50 percent increase in forage production. Long-term increases were used as forage production objectives for each intensive management unit (see Appendix Table B-1). Production increases as a result Of land treatments were conservatively estimated based on treatment of marginally productive land (30 A/AUM). This is assumed because specific production data for proposed vegetation manipulations are not available. APPENDICES – B-3 Only the potentially more productive sites would be treated to insure success and maximum benefit (Stoddart et al., 1975). Production increases through burning, thinning, or seeding range from 56 percent to 1,400 percent (Stoddart and Smith, 1955; Stoddart et al., 1975; Vallentine, 1971; Pase and Granfelt, 1977). Again because of a lack of data and to be conservative, a minimum increase in production of 50 percent was predicted for treatments in the short term and also over the long term. Methodology for Determining Future Range Condition Classes and Trend Changes in vegetation occur slowly in areas of harsh edaphic and climatic conditions (Stoddart et al., 1975) such as the Royal Gorge EIS area. On poor condition areas, improved condition may not be noticeable for 25 to 50 years (Stoddart and Smith, 1955). Therefore, changes in range condition classes are not expected to occur over the long term without vegetative treatment. Vegetative response due to partial conversion followed by proper management could result in increases in the potential natural vegetation to at least 50 percent composition (Pase and Granfelt, 1977; Stoddart et al., 1975; Vallentine, 1971) or good condition. Complete conversion would result in the desired vegetative species reaching over 75 percent of total vegetative compsotion or excellent condition. Change in vegetative cover is commonly used as one of the basic indicator of apparent trend in range condition (Humphrey, 1962). Given relatively small change in cover, other indicators such as composition and reproduction would show small similar changes. Cover changes were predicted on the basis of professional judgment of Canon City District's range specialists. In the 1977-78 range survey, vegetative cover and type were identified. This data was a baseline against which other factors were weighed to predict vegetative response to different kinds of range management. These other factors include overall Condition, general climatic and elevational zones, and soil characteristics for each management units in the EIS area. Vegetative response was predicted only for management units which would be managed intensively or on which there would be elimination of grazing. Only on these units, it was felt, would changes in cover be noticeable over the long term of this environmental impact statement (20 years), which is a relatively short time in relation to the rate of vegetative cover changes. B-4 — ROYAL GORGE ENVIRONMENTAL STATEMENT TABLE B-1 RECOMMENDATION AND OBJECTIVE SUMMARY Recommendations Objectives Kind Of Stock/g Season sºme tº º ºs Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing § º e º º Status/c * * ºne º g- º gº º Treatment Treatment Mgt. Admin/m Former tº tº sº tº Key Mgt. Type Type Facility tº º º- º Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p Unall. None None None None None Improve U=O G=O tº- tº-º º cº-e tº- tº- tº-e wº tº º sº tº tº º tº tº tº-e tº º ºs S=lO480 F=614O Unall. lO480A None None None D=O P=434O None 2 Unall. O3-Ol None DSP None None Improve U=O G=2O tº- tº º ºxe Q_ºº & e º 'º wº Thru g- tº 2 º º 2OOA. tº º º-ºº º S=2OO F=O Unall. 2OOA O2–28 None None D=O P= 18O wº, None None 3 Nonint. O3-Ol Cattle None None None Improve U=O G=8O gº tº cº-º cº- tº-º º º º Thru tº cº- $º º cº-º e º 'º º S=153 F-O 5937 153A O2-28 1O AUMS 1O AUMS =O P=73 None D Il 4 Nonint. None Cattle None None None Improve U=O G=6O tº º ºs º-º tº º ºs º-º gº º “me tº sº tº dº º Rº tº gº tº º S=310 F=22O Unall. 31OA None 23 AUMs None D=O P=30 None a/ Management Key Number - Key system to simplify location of grazing allotment(s). b/ Former Allotment Number – ADP number of allotment in present situation. c/ d/ e/ f/ g/ h/ i/ j/ k/ l/ m/ n/ Management Status - Unall. Unallotted Status, Nonint. - Nonintensive Status, AMP - Intensive Status. Federal Acreage - Public land found within the management unit boundary. Season of Use — Period during which livestock grazing will be authorized each year. Key Wegetative Species – Plant species on which minimum rest requirements are based. Kind of Stock - Kind of livestock authorized to graze the public lands within the management unit. Forage Production – Number of Animal Unit Months (AUMs) of livestock forage produced on suitable range and authorized for use each year. Management Adjustment - Number of Animal Unit Months of livestock forage adjusted up (U) or Down (D) from current use levels to reach the "Forage Production" of h above. Administrative Treatment - Proposed administrative remedies to existing livestock management problems: DSP – disposal of public land, ACQ - acquisition of private land, ROW - road easements across private land, EOG - elimination of grazing use by livestock, COA – consolidation of separate grazing allotments into one (l) management unit, EUHU - elimination of unauthorized horse use on public land. Land Treatment – Proposed vegetative treatments: PLOW – brushland plowing, BURN – prescribed burning, THIN - selective thinning. Livestock Management Facility – Facilities designed to improve livestock management: FNC - fencing, CTG - cattle guards, S&S — spring development, WLL – water wells, RSV – earthen reservoirs, CTM – rainfall catchments, PPL – water pipelines, WST – water storage tank, WTR - water troughs. Grazing Administration — Increase in administrative efficiency of lifestock management. Forage Production — Number of Animal Unit Months (AUMs) of livestock forage production available within 20 years on suitable range. o/ Range Trend – Number of acres of public land exhibiting an ecological vegetative trend that is "improving" (U), "remaining static"(S), or "declining"(D) within 20 years. p/ Range Condition – Number of acres of public land exhibiting an ecological vegetative condition that is rated "excellent" (X), "good" (G), "fair" (F), or "poor" within 20 years. RECOMMENDATION AND OBJECTIVE SUMMARY APPENDICES – B-5 Recommendations Objectives Kind of Stock (RM-6)/g Season Forage - of Use Allocation Administ. Land Livestock Grazing Mgt. Mgt. (RM-4)/e (RM-7) ſh Treatment Treatment Mgt. Admin. Key No/a Status tº-º º º º º gº tº º Type Type Facility (RM-A)/m ---- (RM-1,2,3)/c Key Mgt. & & & tº tº e º º Range Range Former gº tº º ºs Vegetative Adjust Acreage Acreage Number Forage Trend Condition Allot. Federal Species —AUMS- (RM-8 thru (RM-14 thru (RM-17 thru Production —Acres— —Acres— No/b Acreage/d (RM-5)/f (RM-7),'i 13)/j l6)/k 25)./l (RM-B)/h (RM-C)/o (RM-C)/p 5 Unall. O3–Ol None DSP None None Improve U=O G=O * - tº * = º º Thru tº gº tº Eº 815A. tº E. e. g.º. ºº e S=O F=1O Unall. 875A. O2-28 None None D=875 P=865 None None 6 Nonint. O3–Ol Cattle DSP None None Improve U=O G=O e-º º º º gº tº e º 'º - Thru tº e º e º 'º - e. l,295A. *_º - tº- tº S=O F=O 5863 l, 295A. O2-28 22 AUMS 22 AUMS D=1295 P=1295 None D 42 7 Nonint. O3-l Cattle None None None Improve U=O =O gº º º º * - ſº e ∈ e Thru tº-º cº- º º tº e º 'º - º S=O F=4O Unall. 8OA. O2-28 8 AUMS 8 AUMS D=8O P=4O None None 8 Nonint. O3–Ol Cattle None None None Improve U=O G=O º - tº E- tº e º º e Thru cº-º º ºs º- <-- “L- º gº S=O F=94l 5747 3,298A. O2-28 138 AUMs 138 AUMs D=3298 P=2357 None None 9 Nonint. O3-Ol Cattle None None None Improve U=O G=O tº º ºs º-e * - E - º º Thru tº e-º º º cº-º º ºs º- S=95 F=255 Unall. 605A. O2-28 33 AUMs 33 AUMs D=51O P=350 None None lO Nonint. O5-Ol Cattle DSP None None Improve U=O G=323 * - G - tº * > * > . . . . . Thru tº º cº-e E- º ll3A. tº e º 'º S=O F=2OO 5938 523A. O9–3O 40 AUMs 40 AUMs D=523 P=O None None ll Nonint. O3-Ol Cattle DSP None None Improve U=O G=O * - e º 'º º- tº e º Thru cº-º -º º q_º 7OA. cº-º º ſº º º S=O F=l4O Unall. 2,050A. O2-28 23 AUMs 23 AUMs D=2O3O P=1890 None None 12 AMP O3-Ol Cattle ACQ. None None Improve U=ll68 G=ll68 * > *-* - - tº cº-e ºs º- Thru tº gº tº º 8OOA. * > . . . . . .” S=O F=O 5728 3,274A. O2-28 ll6 AUMs gº º Es Ele 183 AUMs D=2106 P-2106 tº tº e º º tº tº e º º ROW None D 27 3 Rd. (5.50 Mi) EOG 90A. 13 Nonint. O3-Ol Cattle DSP. None None Improve U=O G=O º cº- ºr e º º * -º a º º q > Thru cº-e ºr e º º 40A. gº tº º º S=O F=O Unall. 40A. O2–28 2 AUMS 2 AUMs D=4O P=4O None None l4 Nonint. O3–Ol Cattle DSP. None None Improve U=O G=O º º tº gº tº tº gº º Thru tº º º e l, 256A. * > . . . . . . . . . . S=777 F-777 5903 l, 256A. O2-28 74 AUMs 74 AUMs D=449 P=449 None D 24l ls Nonint. O3-Ol Cattle DSP. None None Improve U=O G=O ©º º º tº cº-e º Thru e- tº cº- e 496A. tº e º 'º S=O F=O 5754 496A. O2-28 35 AUMs 35 AUMs D=496 P=496 None D 35 B-6 - ROYAL GORGE ENVIRONMENTAL STATEMENT RECOMMENDATION AND OBJECTIVE SUMMARY Recommendations Obiectives. Kind of - Stock/g Season gº tº º Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing cº-e sº º º tº Status/c º e º ºs º º ºs tº e º – º – Treatment Treatment Mgt. Admin/m Former • e º Lº Key Mgt. Type Type Facility tº ſº Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMS/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p l6 Nonint. 03-01 Cattle None None None Improve U= 0 G=0 gº º cº-º º Lº e-º º ºs º- ºr p Thru º º sº e º gº * > * > * > * > S=l, l;0 F=0 5800 l!!!0A. 02-28 29 AUMs 29 AUMs D=0 P= 1, 10 None D 18 l? Nonint. 03-01 Cattle None None None Improve U= 0 G=0 gº tº º ºs º- gº º e º º Thru tº º tº gº º tº º e º 'º º S=675 F=0 5789 675A. 02-28 38 AUMs 38 AUMs D=0 F=675 None D 21, l8 Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 cº e º 'º - º * > * > * > * > Thru tº e º 'º º cº- 2,800A. e - ºr e º 'º gº S=5083 F=l60 5805 5,083A. 02-28 236 AUMs gº º cº-e wº 236 AUMs D=0 P= 1,923 & e º e º e & ._º tº º ACQ. None D l8l4 l,560A. l9. Nonint. 03-01 Cattle DSP. None None Improve U=0 =0 gº tº º º º e º gº º Thru gº º e 280A. * > * > * > * > S=l227 F=710 5770 l, 227A. 02-28 66 AUMs 66 AUMs D=0 P=517 None D 67 20 Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 gº º e º º ºxe Thru dº º cº-e ºs l60A. e º º S=l60 F=120 5809 l60A. 02-28 l3 AUMs l3 AUMs D=0 P= 10 None D 23 2l Nonint. 03-01 Cattle DSP None None Improve U=0 =0 gº º º sº º º cº-e sº- ºr e º º Thru e - º ºs º- l60A. gº º tº º S=720 F=280 5756 720A. 02-28 15 AUMs * > * > * > * > 15 AUMs D=0 P= 1, 10 • * * > * > * > tº e º e º e º e ACQ. None D loC) l, lz0A. 2l A Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 gº º º dº tº e º 'º Thru * . . . . º º e l60A. sº e º e º º S=l60 F= 10 Unall. 160A. 02-28 lO AUMS lO AUMS D=0 P=l20 None None 22 Nonint. 03-01 Cattle DSP. None None Improve =0 G=0 tº e º 'º º g- º º ºf lº Thru dº º ºs º gº 200A. º º gº e S=1,359 F= 1,079 5735 l, 359A. 02-28 318 AUMs tº º e º e 318 AUMs D=0 P=280 • e º « » « » « » « » ACQ. None D 85 3,21,0A. 23 AMP 07-15 Cattle ACQ. Plow None Improve U=0 X=100 5939 l,610A. lO-30 98 AUMs 167 AUMs D=0 F= 1,80 « » º 'º º º e º 'º º e º e P=1060 MUMO D 107 21, Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 tº e º 'º º o gº º e º º Thru gº º º º º 3,262A. º º º e º is S=3262 F-0 5800 3,262A. 02-28 190 AUMs e - dº º º l91 AUMs D=0 P=3262 cº-e ºſ º º 'º ºf 3 tº - EOG None D lºl 10A. 25 Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 & º º º º º Thru « » « » « e º º l,360A. tº º º - S=ll!00 F=l!60 Unall. l, k00A. 02-28 76 AUMs 76 AUMs D=0 P=940 None None 26 Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 gº º º º tº e º º Thru « » « » º -l20A. cº e º 'º - ? S=120 =0 5782 l20A. 02-28 9 AUMs 9 AUMs D=0 P= 120 None D lº RECOMMENDATION AND OBJECTIVE SUMMARY APPENDICES – B-7 Recommendations Objectives Kind of Stock/g Season gº º sº º Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing dº º sº º Status/c gº ºne º ºs sº º ºs º- Treatment Treatment Mgt. Admin/m Former - - - - Key Mgt. Type Type Facility e º 'º - . . . . Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p 27 Nonint. 03-0l Cattle DSP. None None Improve U=0 G=0 * . . . . . . . . . . e tº & º - Thru © tº tº º l,0A. tº-e -º º S=l;0 F= 0 5929 l,0A. 02–28 l AUM l AUM D=0 P= 10 NOne D 3 28 Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 tº e º 'º º ºs º le * - tº e º 'º - Thru tº- tº- tº- tº l,040A. gº tº gº º S=1080 F= 100 Unall. l,080A. 02-28 57 AUMs 57 AUMs D=0 P=980 None None 29 Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 tº gº tºº º- tº Thru tº º e º º 600A. tº º -º S=600 F=l 20 Unall 600A. 02–28 3l AUMs 3l AUMS D=0 P=l,80 None None 30 Nonint. 03-0l Cattle DSP. None None Improve U=0 G=0 {... º gº º tº * - I - G - nº Thru * . . . . . . . . . . e. 21,0A. * > . º º ºs S=210 F=0 5738 21,0A. 02–28 l3 AUMs l3 AUMs D=0 P=210 None D 27 3l Nonint. 03-0l Cattle DSP. None None Improve U=0 G=0 cº- c. - - tº ºs º ºs Thru cº-e ºs º-, -º l, lº2A. * > gº º- º S=l,692 F=ll,0l 5712 l,692A. 02-28 30l AUMs 30l AUMS D=0 P=3291 None D 309 32 Nonint. 03-01 Cattle None None None Improve U=0 G=0 tº º º º tº e g = e º 'º Thru cº-e ºs º ºs S=160 F=l60 5715 l60A. 02–28 ll AUMS ll AUMs D=0 P=0 None D l 33 Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 e º e º o tº º ºs º- Thru cº-e e l8l.A. tº e º e º º S=l8l. F=0 5705 l8l. A. 02-28 ll AUMS ll AUMs D=0 P=l8l4 None D l 31, Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 tº e º 'º gº º tº º Gº Thru tº º º º e 200A. cº º- tº gº S=l 200 F=0 5739 l200A. 02–28 l!!! AUMs º gº º 'º - e. 70 AUMs D=0 P=l 200 º ºs º º e e - e. e º - EOG NOne D 189 l,80A. 35 Nonint. 03-0l Cattle DSP. None None Improve U=0 G=0 a º e g º e Thru e - e 21,0A. º º - S=520 F=280 5791; 520A. 02-28 37 AUMs * - º e º ſº. 37 AUMS D=0 P=210 <--> --> -º º tº e º º 'º - "º ACQ None D ll 200A. 36 Nonint. 03-0 l Cattle None None None Improve U=0 G=0 . * - º º º tº e Thru - º e º 'º &E gº º gº is S=l790 F=l 556 5703 l, 790A. 02–28 ll!2 AUMs l!!2 AUMs D=0 P=231, None D l; 37 Nonint. 03-01 Cattle ACQ. None None Improve U=0 G=0 tº e - e * - º e Thru tº-e ū- º º l, lz0A. * * * - º - S=l6l;0 F=1610 5910 l,640A. 02–28 l33 AUMs l33 AUMs D=0 P=0 None D l?6 38 Nonint. 03-0 l Cattle ACQ. None None Improve U=0 G=0 tº º ºs º- gº º sº º Thru tº-e - tº- ºr e 2,220A. * * * > * > * > S=625 F=625 5792 625A. 02-28 53 AUMs 53 AUMs D=0 P=0 None D ll B-8 – ROYAL GORGE ENVIRONMENTAL STATEMENT * RECOMMENDATION AND OBJECTIVE SUMMARY. Recommendations Objectives Kind of Stock/g Season tº e º Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing tº tº e Status/c * > . . . . . . . . .” tº e º 'º - Treatment Treatment Mgt. Admin/m F Ormer tº-e ºſ- º º- Key Mgt. Type Type Facility tº sº º º Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p 39 Nonint. 03-0 l Cattle DSP. None None Improve U= 0 G=0 tº-> tº º º tº e º 'º gº Thru tº tº º - º 320A. tº e º 'º - - S=320 F=2|| 0 5775 320A. 02-28 25 AUMS 25 AUMS D=0 P=80 None D 25 l;0 Nonint. 03–0 l Cattle ACQ. NOne None Improve U=0 G=0 tº cº-e º º tº-e ‘º tº º Thru tº º ºxº gº 2,000A. “E º ºs º- S=l720 F= 120 5729 l, 720A. 02-28 l29 AUMs l29 AUMs D= 0 P=680 NOne D lº l, l Nonint. 03-0 l Cattle None None None Improve U=0 G= 0 gº tº º º * > * > * > * > Thru tº ºn tº * * * * * : * ~ * S=l20 F=l2O Unall. l20A. 02-28 6 AUMs 6 AUMs D=0 P=0 None None l, 2 Nonint. 03-0l Cattle DSP. None None Improve U= 0 G=0 gº º sº º * - º º - Thru gº º cº-º º 38A. * - º - - S=38 F=38 5888 38A. 02-28 l, AUMs l, AUMs D=0 P=0 None D l l! 3 Nonint. 03-0l Cattle DSP. None None Improve U=0 G=0 e -e ºs ºf Lº * - tº e Thru tº tº e º ºs ll3A. * > . . . e. tº S=833 F=833 585.1 833A. 02-28 68 AUMs * - I - - tº º 68 AUMs D=0 P=0 tº e º 'º - - tº cº-º º ºs ACQ. None D 6 920A. l, l; Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 - e º e i = gº º ºs º- Thru • * * * * * * * l29A. tº e º 'º e º 'o S=l.01.9 F=101.9 5801; l,049A. 02-28 69 AUMs 69 AUMs D=0 P=0 None D l? l;5 Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 gº ºs º º tº e º e Thru º º ºs º- l, l,0A. º- e º ºs S=l l;0 F=360 5831 l, l,0A. 02-28 33 AUMs 33 AUMs D=0 P=80 None D 8 l!6 Nonint. 03-0 l Cattle DSP. None None Improve U=80 G=0 sº º sº º gº tº º º Thru *E. E. cº º 360A. & º S=280 F= 120 Unall. 360A. 02–28 23 AUMs 23 AUMS D=0 P=210 None None l, 7 Nonint. 03-0 l Cattle DSP. None None Improve U= 0 G=0 gº tº e º e º 'º tº- tº-º gº tº Thru * - Lºº º tº e 80A. cº- tº-º º º S=80 F=80 5920 80A. 02-28 6 AUMs 6 AUMs D=0 P=0 None D l; l, 8 Nonint. 03-01 Cattle None None None Improve U= 0 G=0 tº- tº- tº cº- tº º º ºs Thru tº- tº- tº º ſº- sºme º ºs º- S=1|00 F= 1.00 590l. l,00A. 02–28 30 AUMs 30 AUMs D=0 P=0 NOne D 20 l, 9 Nonint. 03-01 Cattle DSP None None Improve U=0 G=0 tº º e º cº- g-e ºs º-, --> Thru tº º q_º - l, 255A. * . . . . . . . ; S=1255 F=80 5798 l, 255A. 02-28 70 AUMs 70 AUMS D=0 P=ll 75 NOne D 105 50 Nonint. 03–0 l Cattle None None None Improve U= 0 G=0 tº tº gº tº e & Thru & e º e º 'º wº- º ºs º- S=7795 F=l210 5ll, l 7,795A. 02–28 l,60 AUMs tº-e e - e l,60 AUMs D=0 P=6285 * - L| = |* --> tº e º 'º - †- ACQ. None D 696 2, 1,80A. EOG lO APPENDICES – B-9 RECOMMENDATION AND OBJECTIVE SUMMARY Recommendations Objectives Kind of Stock/g Season tº º 'º º Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing ę º ºs º- Status/c tº sº º ſº. gº tº º º Treatment Treatment Mgt. Admin/m Former tº dº º Eº Key Mgt. Type Type Facility tº gº tº tº Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition NO/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/O Acres/p 50A Unall. NOne None EOG None None Improve U= 0 G=0 Q- tº ſº tº tº tº º tº º tº-º e º E → tº º sº gº 30A. *E= tº º gº S=30 F=30 5ll, l 30A. NOne None None D=0 P= 0 D l; 5l Nonint. 03-0l Cattle None None NOne Improve U= 0 G=0 tº-º º gº tº tº gº tº gº Thru cº-Lº sº gº gº {-, -} º E tº e S=2.505 F = 0 5030 2,505A. 02–28 l32 AUMs tº e º 'º - e º º l32 AUMs D=0 P=2505 & tº tº tº Lº - e º º *E. E. º. ºº ACQ. 5031 NOne D l86 l, 960A. COA. 2 Allot. 52 Nonint. 03-01 Cattle None None None Improve U= 0 G=0 * . . . . . . . . . . tº tº tº I- Thru tº tº dº ſº- tº º º º S=2 || 72 F=0 5059 2, 1,72A. 02–28 l2l AUMS l2l AUMs D=0 P=2|| 72 N One D 252 53 Nonint. 03–0l Cattle None None None Improve U= 0 G=0 cº-e - tº- (- tº e º ſº tº Thru tº e > tº º º E_* º S=826 F=286 5228 826A. 02–28 5|| AUMs 51, AUMs D=0 P=5 || 0 None D 156 5 l; Nonint. 03–0 l Cattle None None NOne Improve U= 0 G=0 {-, -e, -e º * - E-º º º Thru e- - - tº gº º ſº tº º S=l60 F=l60 518O l60A. 02–28 ll AUMS ll AUMs D=0 P= 0 None D lº 55 Nonint. 03–0 l Cattle None None None Improve U= 0 G=0 {-e ºs ºn tº tº- - gº Thru tº- tº- tº- ( - t- tº- (-º º tº- tº-e ſº- tº S=l,003 F= 0 5301, l,003A. 02–28 2011 AUMs EOG 22l AUMs D=0 P= 1,003 tº-e ū- º º {- º – e 320A. NOne D 518 56 Nonint. 03-0l Cattle None None None Improve U= 0 G=0 tº - º º {...º dº. . . . . . . Thru e- - sº gº & L. ſº tº e S=880 F=0 5152 880A. 02–28 l!9 AUMs l!9 AUMs D=0 P=880 None D 23 57 Nonint. 03-0 l Cattle None None None Improve U= 0 G=0 tº º q_ = tº a e º 'º Thru {-, - º q_2 • * * * * * * * S=l;2 F=0 5157 l!2A. 02–28 l AUM l AUM D=0 P= 1.2 None D 5 58 AMP 08–0l Cattle None None None Improve U=0 G=0 &= º ºs º-e tº- tº- (- - Thru “Tº cº-º º ºſ- sº gº tº gº S=l280 F=0 5155 l, 280A. Ol-l9 6|| AUMs tº 72 AUMS D=0 P=l280 & dº tº e º 'º tº- tº- tº -> COA 5156 FEAR D 59 2 Allot. MUMO 59 Nonint. 03-0 l Cattle None None None Improve U= 0 G=0 &= - º ºs * B = t = - Thru tº º ºr e º 'º * - tº- ºr e ∈ S=l;0 F = 0 Unall. l,0A. 02–28 2 AUMS 2 AUMS D=0 P= 10 NOne None 60 Nonint. 03-0l Cattle None None None Improve U=0 G=0 º º ºs º g- º ºs º-º Thru tº tº $ tº & º _º S=3570 F= 1,80 5088 3,570A. 02–28 ll.0 AUMs tº - tº-e gº ll.0 AUMs D=0 P=3090 & * = - - Lºs gºe gº tº º COA 5089 None D l8l 2 Allot. B-10 – ROYAL GORGE ENVIRONMENTAL STATEMENT RECOMMENDATION AND OBJECTIVE SUMMARY Recommendations Objectives Kind of Stock/g SeaSOn tº º ſº tº º Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing gº tºº º º Status/c tº- tº- ( - gº tº Ee º E Treatment Treatment Mgt. Admin/m Former tº º tº Eº Key Mgt. Type Type Facility tº E tº tº Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition NO/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p 6] Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 tº e º º Eº gº ºs º- tº Thru gº º º tº 8,221A. º tº E tº º S=0 F=4794 5038,5039, 8,738A. 02-28 395 AUMS tº gº tº 395 AUMS D=8498 P=3704 5040,5041, gº º º º tº gº º º C0A 5042,5240 None D 654 6 All Ot. 62 Nonint. 03-0] Cattle DSP None None Improve U=0 G=0 tº tº gº tº º e- ºr e = 2 --> Thru gº º ſº tº 240A. sº gº º sº S=0 F=0 5060 240A. 02-28 9 AUMS 9 AUMS D=240 P=240 None D 18 63 Nonint. 03–0 | Cattle DSP. None None Improve U=0 G=0 tº gº tº º * > Eº E. tº Thru gº tº ſº tº 240A. tº- tº º º S= 180 F= 120 Unal l 240A. 02-28 l 3 AUMS 13 AUMS D=6- P=120 None None 64 Nonint. 03–0 l Cattle DSP. None None Improve U=80 G=0 gº º sº mº gº tº Gº || Thru tº- º º – l60A. tº gº tº S=0 F=0 5242 160A. 02-28 7 AUMS 7 AUMS D=160 P=160 None D 8 65 Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 gº tº E_* º gº º 'º tº Thru eºs º dº tºº |60A. wº Tº º º º S=0 F=160 5204 |60A. 02-28 14 AUMS 14 AUMS D=l 60 P=0 None None 66 AMP 06-0 l Cattle DSP. Thin S&S Improve U-1348 X=100 sº sº º º * : * > * : * * Thru tº gº tºº tº 40A. 100A. l tº º 'º º is S=0 G=1248 5124,5125, 3,338A. | |-|3| 134 AUMS gº tº º sº 215 AUMS D=1990 F=0 5 126 tº º ºs º- tº gº º ºſ- ROW P= 1990 FEAR D 145 4 RDS. (6.75 Mi) C0A 3 Al lot 67 Nonint. 03–0 l Cattle DSP. None None Improve U=0 G=0 tº gº º tº sº º sº º Thru tº gº tº º 200A º “Es tº º S=0 F=0 5052 560A. 02-28 | 7 AUMS l 2 AUMS D=560 P=560 None D 31 68 Nonint. 06–0 l Cattle ROW Burn None Improve U=957 X=200 sº º sº tº sº sº me tº Thru sº ºne º tº 3RDS. 200A. gº tº ſº S= G=757 5 134 2,512A. 0 |-|3| 69 AUMS (6.50 mi) 130 AUMS D=1530 F=0 & gº º gº º gº sº- ºr- (- tº- tº cº- P= 1530 5l 35 FEAR D 267 COA 2 All ot. 69 Nonint. 03-0] Cattle DSP None None Improve U=0 G=0 tº º tº- tº- tº gº Thru gº º – tº 1, 190A. g- ſº tº cº- S=109] F=1256 5 164 l,556A. 02-28 70 AUMS 70 AUMS D=465 P=300 None D 1 10 70 Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 e-º ºs º- 'º gº tº tº Thru tº tº ſº tº 173A. tº º-, -º- tº S=0 F=0 5056 173A. 02-28 8 AUMS 8 AUMS D=173 P=173 None D 22 7 Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 gº º cº-º º tº e-jº º ſº Thru gº º tº º 206A. sº tºº º ſº S=0 F=0 5 153 206A. 02-28 12 AUMS 12 AUMS D=206 P=206 None D 30 RECOMMENDATION AND OBJECTIVE SUMMARY APPENDICES — B-11 Recommendations Objectives. Kind of Stock/g Season * - I -ºº º gº tº Mgt. - Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing tº ſº ºne º Status/c tº - tº- gº tº º e Treatment Treatment Mgt. Admin/m Former {- tº tº Key Mgt. Type Type Facility gº tº e º 'º º Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p 72 Nonint. 03–0 l Cattle DSP. None None Improve U=0 G=0 tº e- ºr- º tº º cº- sº Thru tº e -º º e º e l,80A. tº º – e - º S=720 F=80 Unall. 720A. 02–28 25 AUMS 25 AUMS D=0 P=6|| 0 None None 73 Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 * - tº º gº tº e º 'º -> Thru *E* sº tº gº l,0A. * - tºº ſº º º S=l;0 F= l;0 5176 l,0A. 02–28 l, AUMs l, AUMs D=0 P=0 None D l; 71, Nonint. 03-0 l Cattle DSP. None NOne Improve U= 0 G=0 * . . . . . . . . . . .” tº-º º cº-e ºs Thru tº > º 780A. “E sº tº º S=307l F=20l., 1 5165,5166, 3,071A. 02-28 277 AUMs tº-º º ſº tº º 277 AUMS D=0 P=l030 5167,5168, & e tº e º e COA 5173,517, None D ll, l; 6 Allot. 75 AMP 05–0l. Horses DSP. None CTM Improve U=l, l;5 G=0 tº º . . . . . . . & e. Thru Cattle l20A. l tº º 'º - † - S=2l2l F=212 l 5ll3 2,792.A. 02-28 tº-e - - - - º º tº gº tº e- - 291, AUMs D=0 P=l l;5 & tº º ſº. lS6 AUMs ROW S&S 5ll l; FEAR tº º 'º - l Rd. l, D l8 (l.0 Mi) COA 2 Allot. 76 Nonint. 03-01 Cattle DSP. None None Improve U=l20 G= 0 º º º ºs wº- ºr e-e ‘º Thru • * * > . . . . . .” l20A. tº Le Cº- ºr e = S=0 F=l2O 5239 l20A. 02-28 lO AUMS lO AUMS D=0 P=0 None D 17 77 Nonint. 03-01 Cattle DSP. None None Improve U=20 G=0 &_* < * > . . . . * … . . . . . . e. Thru tº cº-º º gº 50A. º º- º º S=30 F=20 Unall. 50A. 02–28 l AUM l AUM D=0 P=30 None None 78 Nonint. 03-0l Cattle DSP. NOne None Improve U=0 G=0 º ºs cº-e e- - - - Thru q = -º e 20A. tº e º º ºr e º 'º S=20 F=0 50l., l; 20A. 02-28 2 AUMS 2 AUMS D=0 P= 20 NOne D 2 79 Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 * - I Lº º cº- cº- ºr e º º Thru tº E tº Lº º 380A. tº º cº-º º S=380 F=0 5092 380A. 02-28 lC) AUMS lO AUMS D=0 P=380 NOne D 33 80 Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 & e g º e -> tº º º ºs Thru tº-e º º 50A. tº E- º ºr e S=50 F=0 5025 50A. 02-28 2 AUMS 2 AUMs D=0 P=50 None D l; 8l Nonint. 03-01 Cattle DSP. NOne None Improve U=320 G=320 Q_º - > * > * > tº e- º gº Thru * - I - e º 900A. 4- G- E - e. e. S=580 F=0 Unall. 900A. 02-28 55 AUMs 55 AUMS D=0 P=580 None None 82 Nonint. 03-0l Cattle DSP. NOne None Improve U=0 G=0 tº e º 'º º gº tº e º 'º Thru tº - tº º 80A. e- º º ºs S=80 F=0 5210 80A. 02-28 5 AUMS 5 AUMS D=0 P=80 NOne D 8 B-12 – ROYAL GORGE ENVIRONMENTAL STATEMENT RECOMMENDATION AND OBJECTIVE SUMMARY. Recommendations Objectives Kind of Stock/g SeaSOn gº tº tº e Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing tº - tº º º Status/c &E º º º tº tº º Treatment Treatment Mgt. Admin/m Former tº E_* ºr lº Key Mgt. Type Type Facility tº º ſº º Range Range Allot. Federal Vegetative Adjust & * & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n AC res/o Acres/p 83 Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 gº º ſº º emº sº º mº Thru * . L. tº . . . 3.10A. wº- tº -> S=0 F=0 5065 3.10A. 02-28 | 4 AUMS 14 AUMS D=40 P=40 None D 5 84 Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=200 eº º E tº tº- (- - - - - Thru tº gº tº e 200A. gº tº tº e G--> S=200 F=0 524 l 200A. 02-28 21 AUMS 21 AUMS D=0 P=0 None None 85 Nonint. 03-0 l Cattle DSP None None Improve U=0 G=0 tº-e ‘º º º gº º e º 'º Thru tº gº º cº- 80A. tº e º º S=0 F=0 5229 80A. 02-28 2 AUMS 2 AUMS D=80 P=60 03–0 l None Thru 86 Nonint. 02-28 Cattle DSP None None Improve U=0 G=0 º gº tº º tº gº tº E sº tº º ºs sº º gº tº 40A. tº e º e º º S=0 F=0 5837 40A. None l AUM | AUM D=40 P=40 None D 9 87 Unal l. None None DSP None None Improve U=0 G=0 e- tº º º gº º º º is q_ _ _ _ _ sº tº E tº 200A. º º cº-e Gº S=0 F=0 Unall. 615A. None None None D=615 P=615 None 88 Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 gº tº º º e- º ºs º- Thru gº tº e 350A. g- || > t > g. ſº S=0 F=0 Unall. 360A. 02-28 9 AUMS 9 AUMS D=360 P=360 None None 89 Nonint. 03-0 l Cattle None None None Improve U=0 G=0 gº º sº º gº tº gº tº Thru •º e - º gº º tº gº S=0 F=0 52.13 120A. 02-28 | AUM 1 AUM D=80 P=80 None D 3 90 Nonint. 03-0 l Cattle ROW None None Improve U=0 G=0 gº º sº tº gº º º º Thru Horses l Rd. tº e º º S=0 F=0 5235 120A. 02-28 gº º gº º (0.25 Mi) 2 AUMS D=120 P=120 º º ſº tº º 2 AUMS None tº gº tº º D 6 9] AMP 06-0 l Cattle None None None Improve U=38 G=38 gº º sº º tº e º 'º - sº Thru eº º sº tº gº tº S=0 F=0 5046 432A. 08-31 15 AUMS 23 AUMS D=208 P=208 FEAR 16 92 Nonint. 03-0 l Cattle None None None Improve U=0 G=0 gº- º e º ſº gº º e º 'º Thru gº tº gº tº º S=0 F=59 513 125A. 02-28 4 AUMS 4 AUMS D=125 P=66 None D 4 93 Nonint. 03-0 l Cattle None None None Improve U=0 G= gº º ºs º- gº tº º tº º Thru tº º Eº º S=0 F= 5013 129A. 02-28 4 AUMS 4 AUMS D=129 P=l 29 None D 8 –9- RECOMMENDATION AND OBJECTIVE SUMMARY APPENDICES – B-13 Recommendations Objectives Kind of Stock/g Season sº º sº º Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land LiveStock Grazing * … tº º tº Status/c gº- (- - - - - - gº tº º º Treatment Treatment Mgt. Admin/m Former ---- Key Mgt. Type Type Facility tº-º º Es Eº Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p 9|| Nonint. 03-01 Cattle DSP None None Improve U= l;0 G=0 * * * > *- : * > tº e º 'º e º 'º Thru tº e º 'º - - l20A. cº- tº e- ºr e S=l85 F=0 Unall. l,00A. 02-28 8 AUMs l, AUMs D=0 P=225 NOne None 95 AMP 05–l6 Cattle ROW None NOne Improve U=0 G=0 tº º q > * > * > * - º ºs º- Thru cº-º º cº-º º l Rd. * … . . . . . e. S=558 F=83 521,3 l,013A. lO-3l l!3 AUMs (.50 Mi) 65 AUMs D=0 P=l,75 FEAR D 65 96 AMP 08–0l Cattle ROW None None Improve U=0 G=0 * > * > * > . . . º- º º ºs Thru * … tº º º l Rd. &= -º º º S=ll!3 F=80 5067 l!!3A. Ol-l9 lC) AUMS (.75 Mi) lS AUMS D=0 P=63 FEAR D 7 97 AMP 06-19 Cattle ACQ THIN RSW Improve U= 0 G=300 tº e º e º E- * - º ºxº gº Thru tº e º 'º e 2, ll,0A. 300A. l • Lº º cº-º º S=31,92 F=ll;7 50ll,5093, 5,326A. l2-lp 190 AUMs gº tº cº-e Gº- tº e º 'º e 325 AUMs D=0 F=30|5 & 5101, * - T - º tº e º º e º º ROW FNC FEAR D 398 l Rd. l. 5 Mi. (2.50 Mi) COA 3 Allot 98 AMP 06-16 Cattle ROW None None Improve U=0 G=0 tº gº tº e- “E E -ºº º Thru l Rd. tº . g . . . . . . S=6|| 0 F=380 5189 61,0A. 09-l9 23 AUMs (0.25 Mi) 35 AUMs D=0 P=260 FEAR D 90 99 AMP 06-01 Cattle ACQ NOne S&S Improve U=0 G=0 tº ( → * : * ~ * tº º Thru tº e º 'º º l!,280A. l “. . . . . . . ºº S=2553 F=l08 5069 5,305A l0–31 196 AUMs tº e º e º º 291, AUMs D=0 P=2||l,5 * . . . . . . . . . . . * … e º - ROW FEAR D 33 l Rd. MUMO (3.0 Mi) l00 AMP l2–0l Cattle ACQ NOne RSW Improve U=l35 G=0 tº e º º ºs º- G. º Thru “. . . . . . . . . . . 2,637A. l tº- e º º S=615 F=l35 5ll0 l,538A. 03-31 l!3 AUMs e- ºr e = e º º 65 AUMs D=0 P=615 cº- cº- tº - gº º ſº º ROW FEAR D ll2 3 Rds l()l Nonint. 03-0 l Cattle DSP. None None Improve U=275 G=0 &_ _ _ _ e tº º º - Thru gº tº º º 790A. g- º ºxº cº- S=l l;5 F=l85 Unall. 870A. 02-28 l!2 AUMs l;2 AUMs D=0 P=535 NOne None lC)2 Nonint. 03-0l Cattle DSP. NOne None Improve U=0 G=0 º º Gº Gº tº gº e º cº- Thru cº-e sº- e º º 36A. tº º ºs º- S=36 F=27 501,8 36A. 02-28 3 AUMs 3 AUMS D=0 P=9 None D 6 l03 Nonint. 03-0l Cattle DSP. None None Improve U=l20 G=0 tº e º gº º º ºs º- º Thru * - e º 362A. cº- ºr e º e - S=21,2 F=120 521, l; 362A. 02-28 l6 AUMs l6 AUMs D=0 P=2|{2 NOne D 31 lOl. NOnint. 03-0l Cattle DSP. None None Improve U=0 G=0 &_º - º e- gº º E → * > Thru * tº e 200A. * - cº- ºr e º º S=95 F=20 Unall. 200A. 02-28 5 AUMS 5 AUMS D=0 P=75 None None B-14 – ROYAL GORGE ENVIRONMENTAL STATEMENT RECOMMENDATION AND OBJECTIVE SUMMARY Recommendations Objectives Kind of Stock/g Season tº E_* º E.E. Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land LiveStock Grazing tº º ºr e º tº Status/c gº gº º - º ºg tº º Treatment Treatment Mgt. Admin/m FOrmer * > *- : *, * * * Key Mgt. Type Type Facility sº tº sº º Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p lC)5 AMP 08–0l Cattle ACQ. None S&S Improve U=0 G=0 gº º- tº- tº- & E tº e Thru * - gº tº e ∈ l, 1,10A. 2 tº º º º cº-e S=1078 F=327 5098,5103 2,268A. 0l-l9 31, AUMs tº º º cº- 5l AUMS D=0 P=75l. & 5105 * - tº gº tºº tº - - tº COA FEAR D 56 3 Allots. 106 Nonint. 03-0l Cattle DSP. None None Improve U=2||3 G=0 tº- tº- e º 'º gº tº º º Thru * - I - (- º 283A. tº-e tº e º e S=l10 F=2||3 5099 283A. 02-28 22 AUMS 22 AUMS D=0 P= l;0 None D l? l()7 NOnint. 03–0 l Cattle DSP NOne None Improve U=35 G=0 gº º -e ºs gº º e º 'º º Thru tº º º ºs 75A. tº-e Gº e S=l;0 F=55 5100 75A. 02–28 5 AUMs 5 AUMS D=0 P=20 NOne None 108 Nonint. 03-0l Cattle DSP. None None Improve U=0 G=0 gº º Es sº tº-e e i º Thru tº-e ‘Tº “ - tº l32A. tº º S=l32 F=l32 5225 l32A. 02-25 ll AUMs ll AUMS D=0 P=0 NOne D 9 109 Nonint. 03-0l Cattle DSP. None None Improve U=0 G=0 cº-º - º º e- Thru º º ºs º-e l,5A. tº º º S=l;5 F=15 5102 l,5A. 02-28 l, AUMs l, AUMs D=0 P=0 NOne D l ll.0 Nonint. 03-0l Cattle DSP. None None Improve U=26 G=0 tº- ºr e º 'º -º tº e º e º tº Thru tº º cº-e ºs 26A. • * : * : * * * S=0 F=26 5021 26A. 02-28 3 AUMs 3 AUMs D=0 P=0 NOne D l lll Nonint. 03-0 l Cattle DSP. None NOne Improve U=0 G=0 gº º cº-e º e- - sº e Thru tº º ºxe gº 233A. cº-e e - gºe S=l!88 F=0 510 l 233A. 02-28 9 AUMS 9 AUMS D=0 P=233 NOne D 22 ll2 Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 g- º ºs º- tº gº º tº Thru gº º º ºs º- l!88A. & º gº S=l!88 F=69 5020 l,88A. 02-28 26 AUMs * * * > . . . . e. 26 AUMs D=0 P=llg & * * * * * > * > tº e - e º e º 'º COA 5022 None D 37 2 Allots. ll3 Nonint. 03-01 Cattle DSP. None None Improve U=270 G=0 tº e lº º º º º Thru tº º cº-º º 300A. * † º e º 'ºp S=30 F=270 Unall 300A. 02-28 22 AUMS 22 AUMS D=0 P=30 NOne None ll!! Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 * * * > * > . . . cº º ºs ºº Thru • * * * * * > * > l25A. tº e º 'º - S=lOO F=0 5178 l25A. 02–28 8 AUMs 8 AUMs D=0 P= 100 NOne D 6 ll 5 Nonint. 03-0 l Cattle DSP. NOne None Improve U=60 G=0 gº º-e sº º g- º ºs º- Thru e º º l69A. * = & E = - º S=269 F=150 5lll 329A. 02-28 2l AUMS tº e-c = - 21 AUMS D=0 P=l79 & gº tº Eº º gº ºne º ºs COA 5ll2 None D 15 2 Allots. ll6 Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 * - Lº e º Lº tº º e º Thru emº º º º l20A. tº º º e S=l20 F=0 Unall. l20A. 02-28 6 AUMs 6 AUMs D=0 P=l2O NOne NOne RECOMMENDATION AND OBJECTIVE SUMMARY Recommendations APPENDICES — B-15 Objectives Kind of Stock/g SeaSOn sº ºme º Eis Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing sº sº º ºs Status/c tº-e - - tº- * Gºº Gº tº Treatment Treatment Mgt. Admin/m Former tº ſº gº º Key Mgt. Type Type Facility e.-e ºs º º Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition NO/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p ll 7 AMP l2-0l Cattle ROW None RSW Improve U= 0 G=0 * - sº º tº gº tº cº- Thru gºe - - l Rd. l *_º tº gº º S=ll, l9 F=0 5023 l,539A. 02–28 32 AUMs (l. 25 Mi) 18 AUMs D=0 P=ll, l0 & tº-e Gº e º e * - º q_2 * > tº-º º 'º - ? 5021, FEAR D l;5 COA 2 Allots. ll 8 AMP 09-0 l Cattle ROW None None Improve U=0 G=0 º º sº gº * º ºs º- Thru * * * * * * * * l Rd. tº tº gº tº S=ll07 F=0 5186 2,682 A. lC-3 l 52 AUMS (35 Mi) 78 AUMs D=0 P=ll07 FEAR U 38 ll.9 Nonint. 03–0 l Cattle DSP. NOne None Improve U= 0 G=0 * º ºxe º * - - e º º Thru tº e -º º º ſº º 80A. &= º º ºs S=27l F= 10 5062 27 la . 02-28 ll AUMS ll AUMs D=0 P=231 None D 31, l2O Nonint. 03-0l Cattle DSP. None None Improve U=0 G=0 º º ºs º tº e º 'º -> Thru º 4- tº e º e 160A. tº-º º e º 'º e S=l60 F=0 5ll 8 160A. 02-28 7 AUMs 7 AUMs D=0 P=160 NOne D 6 l2l Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 * = ′ = a - tº e - e º 'º - º Thru * > . . . . . . . .e 570A. tº sº º ºs S=570 F=0 5000 570A. 02-28 l9 AUMs l9 AUMS D=0 P=570 None D 30 l22 Nonint. 03-01 Cattle None None None Improve U=0 G=0 * = º sº tº e º tº Thru Horses e- tº cº-º gº S=l;0 F= 0 5122 l,0A. 02-28 gº tº e º e º le 2 AUMS D=0 P= 10 4- º cº-e e 2 AUMS None º º º ºs NOne l23 Nonint. 03-01 Cattle None None None Improve U= 0 G=0 * eme emº ºme cº-e e - tº º Thru º-s º º cº- º- º ºs º-e S=l3l F=0 5185 l31A. 02-28 5 AUMs 5 AUMS D=0 P=131 None None l23A Nonint. 03-01 Cattle NOne None None Improve U=0 G=0 * * * * <-- cº-e - Thru º-> --> <- º e S=300l. F=0 5760 3,00l!A. 02–28 l, l AUMs ll AUMs D=0 P=3001; NOne D 31, l21, Nonint. 03-01 Cattle None None None Improve U=0 G=0 * * * * * - - - - --> Thru tº e º e - ( → * ~ * > * > S=l, l;0 F=0 Unall. l!!!0A. 02-28 5 AUMS 5 AUMS D=0 P= l; l;0 None None l25 Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 * * me me * > . Tº a Thru º e - ſº cº- 163A. tº gº tº º S=l63 F=O 583.9 163A. 02-28 2 AUMS 2 AUMS D=0 P=l63 None D 6 l26 AMP 08–0l Cattle ROW THIN CTM Improve U=0 G=l60 * * * = * - e > -e º e Thru gº º e º 'º l Rd. l60A. l cº- tº e º 'º -> S=3036 F=0 5l32 6,676A. Ol-lp 69 AUMs (l, .5 Mi) l21, AUMs D=0 P=2876 FEAR D 207 STCO B-16 – ROYAL GORGE ENVIRONMENTAL STATEMENT RECOMMENDATION AND OBJECTIVE SUMMARY Recommendations Objectives Kind of Stock/g Season tº- tº- º º Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing º- º a º q > Status/c cº-e ºs º- - -> <- - - Treatment Treatment Mgt. Admin/m FOrmer tº-º cº- tº º Key Mgt. Type Type Facility e- - - - Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMS/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p l27 AMP lC)-l'7 Cattle ROW THIN CTM Improve U=0 G=600 e- - - « » emº sº º cº- Thru - - - - l Rd. 600A. l - - - - S=3380 F=0 5187 5755A. 0l-01. 38 AUMs (0.75 Mi) tº- (- - - l37 AUMS D=0 P=2780 º º gº º - - - - RSW FEAR D l91, l STCO - º cº- - S&S 2 FNC O © 50 Mi c l28 AMP 08–0l Cattle ROW None PPL Improve U=0 G=0 tº º ºr e º e cº- º ºs º- Thru -> -º º q_º l Rd. 0.5 Mi Q-> --> --> --> S=lO77 F=0 5019 3,372A. Ol-l9 l, AUMs (l.0 Mi) º º cº-º º 6 AUMs D=0 P=lO77 & - º º cº- - tº--> --> --> tº- ºr tº º WTR 5306 STCO D l6l COA l 2 Allots. l29 Nonint. 03-0l Cattle DSP. None None Improve U=0 G=0 - - - - - tº tº e º e º Eº Thru e- - - - 1,0A. cº-e - - - - S=60l F=0 5133 60lA. 02-28 l, AUMs l, AUMs D=0 P=60l NOne D l? l30 Nonint. 03-0 l Cattle None None None Improve U=0 G=0 - - - - º gº º ºs º- Thru - - - - -> --> --> --> S=l60 F=0 5226 l60A. 02-28 l AUM l AUM D=0 P=l60 None D 17 l3l Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 - - - Gº tº G = - gº Thru - - - - 200A. G-> --> --> --> S=200 F=200 5182 200A. 02-28 7 AUMS 7 AUMS D=0 P=0 NOne NOne l32 Nonint. 03-0l Cattle None None None Improve U=0 G=0 e- - - - e- º º cº- Thru Q- - - --> tº- (- - - S=52l F=0 5181. 52lA. 02-28 3 AUMs 3 AUMs D=0 P=521 NOne NOne l33 AMP 08-0l Cattle DSP. BURN CTM Improve U=l80l X=l280 e- - - - - - eme º 'º -> Thru e- - - - 60A. l,280A. l tº- tº G- - S=ll 71, G=0 5032 3,229A. Ol-lp 52 AUMS - - e cº- cº- - - 21,8 AUMs D=0 F=0 & e- º - tº --> --> --> --> ROW RSW P=l695 5ll, l; STCO D 223 l, Rós 2 ORHY (5.25 Mi) COA 2 Allots l31, AMP 08-0l Cattle ACQ. None None Improve U=0 G=0 cº-> --> - e &E tº gº tº Thru - º 'º - l,80A. tº º º º S=210 F=0 5183 21,0A. Ol-l9 6 AUMs 9 AUMS D=0 P=210 STCO D ll, ORHY 135 Nonint. 03-01 Cattle DSP. NOne None Improve U=0 G=0 - - - - - - * > --> --> tº - Thru -> --> --> --> 80A. - - - - S=80 F=80 5866 80A. 02-28 6 AUMs 6 AUMs D=0 P=0 NOne None l36 AMP 08-0l Cattle ROW None S&S Improve U=0 G=0 - tº º e º- º G = Gº- Thru - cº- º – 3 Rds. l e- - - - S=l21,2 F=0 50ll l, H22A. 09-15 ll AUMS 5.0 Mi) lT AUMS D=0 P=l212 STCO D 53 RECOMMENDATION AND OBJECTIVE SUMMARY APPENDICES – B-17 Recommendations- Objectives Kind of Stock/g Season sº º sº º Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing º º ºs º- Status/c - --> --> e gº º E. E. Treatment Treatment Mgt. Admin/m Former - º 'º º Key Mgt. Type Type Facility tº ºº & E GE Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p l37 AMP 08–0l Cattle ROW None FNC Improve U=0 G= 0 *- - - - - - - - - Thru * > -> <- - 2 RCls. 0.75 Mi tº º ºs º- - S=1255 F = 0 5223 l,587A. Ol-l9 ll AUMS (6.0 Mi) l'7 AUMs D:0 P=1255 STCO D l;3 ORHY l38 AMP 06-01 Cattle ACQ. THIN S&S Improve U=2378 G=550 *- - - - - - - - Thru e- º e- - l, 1100A. 550A. 3 sº º ºs º- S=5597 F=20 5010,5072, 15,635A. 02–28 309 tº cº- tº- - tº tº gº tº 539 AUMs D=0 P=8.185 5095,5120, tº e º 'º - & e - Gº tº ROW CTM 5159 MUMO D 295 l, Rols. 5 STCO (l, .75 Mi) º º ºs º- - - - - FNC COA l.0 Mi. 5 Allots * - e º e º º CTG l l38A Nonint. 03-0l Cattle DSP. None None Improve U=0 G=0 *- º - Gº cº- º 'º - º Thru cº-e sº cº- tº 36A. & º 'º - tº e º 'º S=8 F=0 5ll.9 36A. 02-28 l AUM l AUM D=0 P=8 NOne D 5 l39 AMP 07-0l Cattle ROW None None Improve U=l76 G=0 *- E - G- - - - - - - Thru cº-º- º – l Rd. cº º- º cº- S=l3l F=0 5237 337A. 09-30 29 AUMs (2.75 Mi) l, l, AUMs D=0 P=307 FEAR D l;2 ll.0 AMP 08-0l Cattle ROW None None Improve U=378 G=0 * - gº º - - - - - - Thru º º e ∈-> <- l, Rols. G-> -e cº-º º S=2273 F=96 52O6 5, 188A. Ol-l9 60 AUMs (13.0 Mi) 90 AUMS D=0 P=2555 FEAR U lo STCO ll, l AMP 05-16 Cattle ACQ None FNC Improve U=557 G=0 * º º me gº º Gº G-> Thru e - G - Gºº Gº 210A. l. 25 Mi. cº º-, -º º S=ll,03 F=l639 5015,521.5, 6,272A. 02-28 ll,5 AUMs º Gº Gº- º 218 AUMs D=0 P=2ll!! 5247,5248, º cº- c. º Gº e - © º º tº º ROW 5250,525l MUMO D l;17 5 Rds STCO (5.25 Mi) COA 6 Allots. ll;2 AMP 08–0l Cattle ROW THIN S&S Improve U=517 G=l60 * Gº gº º Cº- ºr e º 'º - e. Thru tº e - º º l Rd. l60A. 5 cº-º- º ºſ- S=290l F= 1000 5302 3,727A. Ol-l9 l;0 AUMs (1.75 Mi) tº a tº e º e º º 80 AUMs D=0 P=2098 º e > Gºº Gº e- º – G - FNC MUMO D 312 2.0 Mi. STCO l! 3 AMP 08-0l Cattle None THIN FNC Improve U=299 G=l20 * * * * - - - - - Thru & e º 'º - P --> l20A. .75 Mi. tº sº cº- º S=l,52 F=0 5078 697 A. Ol-l9 l3 AUMs 36 AUMs D=0 P=6ll STCO D 50 ORHY l!3A Unall. None None EOG None FNC Improve U=0 G=0 * * * * - - - - - gº º º tº e - º ºx- 383A. 3.75 MI gº º ſº- E- S=235 F=0 5079 383A. None None None D=0 P=235 D 30 B-18 – ROYAL GORGE ENVIRONMENTAL STATEMENT RECOMMENDATION AND OBJECTIVE SUMMARY Recommendations Objectives Kind of Stock/g Season tº º . . . . . . e. Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land LiveStock Grazing gºe º Status/c tº tº . . tº º ºs º-e Treatment Treatment Mgt. Admin/m Former tº- tº- º º Key Mgt. Type Type Facility tº- tº- ºr e gº Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p ll, l, Unall. None None EOG None None Improve U= 0 G=0 g- º tº cº- tº- tº Lº gº º º gº gº º 'º - 220A. {-, -, - e º º S=l80 F=0 Unall. 220A. None None None D=0 P=l80 None ll,5 Nonint. 03-0 l Cattle None None None Improve U=0 G=0 * - tº º º * - gº tº Thru * - e ∈ E is tº º e g = S=200 F=0 5071 200A. 02–28 2 AUMS 2 AUMS D=0 P=200 NOne D 21 ll,5A Nonint. 03-0l Horses None None None Improve U=0 G=0 * - tº º tº º ºs º- Thru * … º. º º tº tº º ºs º-e S=58 F=0 519 l 360A. 02–28 l AUM l AUM D=0 P=58 None None ll,5B Nonint. 03-0l Cattle None None None Improve U=0 G=0 gº tº º º º tº- º Thru tº e º e º - tº e º 'º … º S=l20 F=0 5066 l20A. 02-28 l AUM l AUM D=0 P=l2O NOne D 6 ll!6 AMP 08–0l Cattle ROW None None Improve U-125 G=0 gº º º tº . . . .” Thru * > * > * > * > l Rd. º º - º S=l22 F=0 5090 l,072A. 09-l9 lO AUMS (l.5 Mi) lº, AUMS D=0 P=2||7 MUMO D l;3 STCO ll, 7 AMP 08–0l Cattle COA THIN S&S Improve U= 10 X=210 gº º tº º tº gº tº º º Thru G. : * > . º º 2 Allots l, 200A. l cº- tº- tº S=5158 G=l 200 5082 6,580A. Ol-lp 99 AUMS tº º cº-º º tº a tº e º e 31}l AUMs D=0 F=l;0 & Gº tº e Cº. º. º. . . . e. BURN FNC P=3718 5083 MUMO D l; l; 21,0A. 0.75 Mi STCO ll,8 AMP 08–01 Horses ROW None None Improve U=0 G=0 tº e º 'º - … {-º … Thru tº e º 'º -º l Rd. tº e º º tº S=950 F=0 5212 l,009A. Ol-lp 3 AUMs (2.0 Mi) 5 AUMS D=0 P=950 STCO D l6 ORHY ll,8A Unall. None None EOG None FNC Improve U=0 G=0 gº º 'º - gº º sº º * - tº- tº- tº tº sº tº º l,69A. 3.0 Mi. gº º ºs e e S=1,37 F=0 52ll l,69A. None None None D=0 P= 1,37 D 20 ll, 9 AMP ll-0 l Cattle None NOne S&S Improve U= 0 G=0 tº º ºs º- * † e º º Thru * … tº e º 'º tº l « . » a º S=6l30 F=595 5300 7,313A. 05-31 21.2 AUMs & e e 363 AUMs D=0 P=5535 gº º-º º tº * > . . . . . . . ºt FNC STCO D 5ll, .75 Mi lSO AMP 06-10 Cattle ROW THIN S&S Improve U=0 G=l.90 * e º 'º º tº .º Thru tº e º 'º 2 RCi. lº,0A. 3 gº tº º sº gº S=2025 F=0 530l 2, 1,76A. 10–25 50 AUMS (2.5 Mi) 95 AUMS D=0 P=1875 STCO D 276 lSl Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 * - º 'º - º * - . . . . . . . . Thru tº 280A. tº e º is tº . . . . S=l080 F=60 Unall l,080A. 02–28 6 AUMs 6 AUMS D=0 P=l O20 None None RECOMMENDATION AND OBJECTIVE SUMMARY APPENDICES – B-19 Recommendations Objectives Kind of Stock/g Season gº ºne º ºs Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing tº º º ºs Status/c gº º tº ºº gº sº tº º Treatment Treatment Mgt. Admin/m Former tº tº tº E: Key Mgt. Type Type Facility tº ºs º gº Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p 152 Nonint. O3–Ol Cattle None None None Improve U=O G=O tº º ſº gº gº tº º sº Thru cº ºne º º {- tº º gº S=92O F=O 5224 1080A. O2–28 13 AUMS l3 AUMs D=O P=92O None D 58 153 Nonint. O3–Ol Cattle DSP. None None Improve U=O G=O ę & e º 'º tº tºº “º tº Thru & E - ſº º - e. 5l/A. & Lº e E → * > S=51 F=O 5057 5l.A. O2-28 1 AUM 1 AUM D=O P=51 None D 4 154 Nonint. O3–Ol Cattle None None None Improve U=O G=O tº gº tº º gº tº gº tº Thru tº-º º º ºs tº º º gº S=190 F=O 5O85 48OA. O2-28 2 AUMS 2 AUMS D=O P=190 None None l;5 AMP O8-Ol Cattle ROW THIN FNC Improve U=O G=3OO gº ºne º sº tº tº e Thru tº º ºs º-º l Rd. 3OOA. 1.5 Mi. tº gº tºe tº S=2OO7 F=O 5O47 2,978A. Ol-l9 29 AUMs (3.OMi) 84 AUMs D=O P=1707 MUMO D 244 STCO lº,6 AMP O8-Ol Cattle ROW None FNC Improve U=O G=O * º ºs º- tº tº tº Thru * - tº º l Rd. .75 Mi. tº ºs º ºs S=1036 F=O 5234 l, 401A. Ol-15 19 AUMs (l.O Mi) 29 AUMs D=O P=lO36 MUMO D 5O 157 Nonint. O3-Ol Cattle DSP. None None Improve U=O G=O tº º ºs º- tº ºn tº º Thru tº º ſº tº 34OA. tº º tº - S=8O6 F=O 5231,5232, 806A. O2–28 2O AUMS tº gº tº º 2O AUMS D=O P=8O6 5233 gº tºº tº º cº º- tº º COA None D 55 3 Allots. lºS AMP O8–Ol Cattle COA THIN FNC Improve U=O G= LOO * me tº º tº º – tº Thru g- E- tº º 4 Allots. lOOA . O. 5 Mi. tº º tº gº S=2486 F=O 5197,5198 3,548A. Ol-l9 5l AUMs 91 AUMs D=O P=2386 52OO,52O5 tº gº tº º & E; Ee tº .º P=684 MUMO D 24O STCO lj9 Nonint. O3-Ol Cattle DSP. None None Improve U=O =O * * * ºne gº tº º º Thru tº & º tº 24OA. & E º gº tº S=124O F=16O 5035 l, 240A. O2-28 22 AUMS 22 AUMS D=O P=lO8O None D 78 l6O Nonint. O3-Ol Cattle COA None None Improve U=O G=O * * ~ * tº-> --> -º º Thru tº e º 'º - tº 3 Allots. tº tº º ºs S=72O F=O 516O, 5161, 72OA. O2–28 17 AUMs 17 AUMs D=O P=72O 5162 * - « » tº e e tº e e º 'º -º None D 33 l61 Nonint. O3-Ol Cattle None None None Improve U=O G=O * * * * tº tº Gº tº e Thru $º º 'º gº * Gºº ºme sº S=96O F=O 5037 96.OA. O2-28 29 AUMs 29 AUMs D=O P=96O None None l62 Nonint. O3-Ol Cattle DSP. None None Improve U=O G=O * * * * tº Lº Gº tº Eº º Thru $º tº gº tº 32OA. cº-º ºr tº tº S=48O F=O 51.90 48OA. O2-28 17 AUMs lT AUMS D=O P=48O None D 21 l63 Nonint. O3–Ol Cattle DSP. None None Improve U=O =O * * * * tº º gº tº Thru gº º º º l2OA. gº tº cº-e - S=12O F=O 5181 l2OA. O2-28 2 AUMS 2 AUMS D=O P=l2O None D Ill B-20 – ROYAL GORGE ENVIRONMENTAL STATEMENT RECOMMENDATION AND OBJECTIVE SUMMARY. — Recommendations Objectives Kind of Stock/g SeaSOn gº tº gº tº Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land LiveStock Grazing º º ºs º- Status/c tº gº tº º tº gº tº º Treatment Treatment Mgt. Admin/m FOrmer tº gº tº º Key Mgt. Type Type Facility * = tº gº Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p l61, NOnint. 03-0l Cattle NOne None None Improve U=0 G= 0 tº º º º- tº- tº E- º Thru tº gº º º tº-e sº-ºº: º gº S=580 F=0 5219 580A. 02-28 9 AUMS 9 AUMS D=0 P=580 NOne D 31 l65 AMP 06-l6 Cattle ROW THIN None Improve U=0 G=200 gº º – ‘Fº “E º 'º º Thru tº-e Es Eº º l Rd. 200A. tº sºme me º S=ll21, F=0 5218 l,581 A. 9-30 l, l, AUMs (6.50 Mi) lC6 AUMs D=0 P=ll21, FEAR D 68 l66 AMP 06–01 Cattle ROW THIN None Improve U=ll;0 G=l;0 gº º tº º tº-e tº cº-º gº Thru $º E tº gº 2 RCls. l,0A. cº-e ºs º-tº gº S=ll,02 F=728 503! 2,083A. ll–0 l 70 AUMS (l, .0 Mi) lll AUMs D=0 P=8ll, & tº e º e i tº &_ _ e º 'º E º ºs º- 5086 FEAR D 97 COA 2 Allots. l67 AMP 07-0 l Cattle ROW NOne None Improve U=0 G= 0 tº e º e º tº e º º º Thru tº Gº E. tº l Rd. {-, -, -e ºs S=6||5 F=0 5199 957 A. 3–3 l 32 AUMs (3.50 Mi) l!8 AUMs D=0 P=6||5 FEAR D 8 l68 AMP 07–0 l Cattle ROW None NOne Improve U=0 G= 0 tº e- ºr - $º ſº- Thru tº º ºs º- 2 RCls. § --> e S=l03l F=98 5050 l,031A. 09–15 86 AUMs (.50 Mi) l29 AUMs D=0 P=933 FEAR D l; l; l69 AMP 06-0l Cattle None THIN None Improve U=0 G=l,00 tº gº tº º º tº º cº-º º Thru “Lº Gº e l,00A. tº dº º qº- tº S=21,91 F=813 5087 2,50l.A. lC)-l9 75 AUMS l'73 AUMs D=0 P=1278 FEAR D 259 l'70 AMP 06-15 Cattle ROW None FNC Improve U=0 G=583 gº tº tº 2 tº- tº e º tº Thru tº º 'º gº l Rd. l. 5 Mi. ºn tº º º S=l310 F=l;67 506l l, 310A. 09-30 72 AUMS (2.75 Mi ) lO8 AUMs D=0 P=260 FEAR D 53 17l AMP 08–0l Cattle None None None Improve U=0 G=l31, * * * * tº * - G- E & º Thru & º e º tº b * > . . . . . . . . S=253 F=0 5009 253A. Ol-l9 6 AUMs 9 AUMS D=0 P=670 FEAR D l;2 lT2 AMP 06-0 l Cattle ROW THIN FNC Improve U=0 G=157 cº-º º ºs º- tº º º ºs Thru e- - - - l Rd. l20A. . 25 Mi. * > * > * > -º S=827 F=0 5017 827A. ll-lp 58 AUMs (3.50 Mi) lC)3 AUms D=0 P=670 & º gº tº e º e G--> <-º ºr e ∈ COA 5018 MUMO D 66 2 Allots 173 AMP 06-16 Cattle COA None FNC Improve U=0 G=0 gº º 'º -º º me tº gº Thru gº ºne º º 2 Allots. . 25 Mi. tºº & º º S=9 l9 F=57 5l.93 919A. 09-30 26 AUMs 39 AUMs D=0 P=862 & gº º º º *E* - sº º 5191, MUMO D lll l? l; Nonint. 03–0 l Cattle DSP. None NOne Improve U=0 G=0 { } { * tº º wº- tº tº º Thru e- ºr- tº-º º ll, 7A. § - tº º -> S=33l F= 10 515 l; 33l A. 02–28 9 AUMs 9 AUMs D=0 P=291 NOne D l6 l?5 Nonint. 03-0l Cattle DSP. None NOne Improve U=0 G=0 tº e º 'º º * . . . . . . tº Thru tº lº q > * * * * l20A. * - tº º º S= 780 F=0 5163 780A. 02-28 8 AUMs 8 AUMs D=0 P=780 NOne D 50 RECOMMENDATION AND OBJECTIVE SUMMARY APPENDICES – B-21 Recommendations. Objectives Kind of Stock/g Season - - - - Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing tº ºs º gº Status/c tº e º 'º º tº e º e g º º Treatment Treatment Mgt. Admin/m Former - - - - Key Mgt. Type Type Facility e- ºr e = - Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p l?6 Nonint. 03-01 Cattle None None NOne Improve U=0 G=0 tº º cº-e ºs º-e tº º e º is tº º Thru a e º 'º - e. &= - Lº gº S=ll!7 F=0 5061, ll,7A. 02-28 5 AUMs 5 AUMs D=0 P=ll, 7 None D 3 177 AMP 09–15 Cattle ROW NOne None Improve U=0 G=0 * † -e º e - e- º e º º Thru tº º cº-e ºs º-e 2 RCls. &E º tº is S=l,80 F=0 5063 630A. 10–31 3 AUMs (6.25 Mi) 5 AUMS D=0 P=l,80 MUMO D 63 STCO l78 Nonint. 03-0l Cattle DSP. None None Improve U=0 G=0 & - e - tº cº- Thru tº gº e º 'º -> 277A. gº º ſº º- º S=l!80 F=0 5216 277A. 02–28 3 AUMs * - e º º 3 AUMs D=0 P=277 & * > * > * > -e tº º e - COA 5217 None D 31, 2 Allots. lT 9 Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 º º º gº tº-e sº Thru º - 390A. º º gº º S=390 F=390 5158 390A. 02-28 23 AUMs 23 AUMs D=0 P=0 NOne D 28 l80 Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 $º º sº º * - e º 'º - (-e Thru * - cº-º cº-º º 900A. cº- tº º cº-e S=llOl F=863 5llS,5ll6, l, ll3A. 02–28 65 AUMs cº-e º cº- 65 AUMs D=0 P=238 5ll'7 e- ºr p = ′ is g- ºr e - º COA NOne D 50 3 Allots l8l Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 &_º tº º 'º º tº e º 'º e º º Thru tº gº e - 391 A. tº gº º cº- 'º S=391, F=20 5203 391 A. 02-28 8 AUMs 8 AUMs D=0 P=371, None None 182 Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 Gº tº e º e gº º º ſº º Thru e-º º cº-º º 200A. tº gº tº gº S=l!99 F=15 5033 199A. 02–28 l'7 AUMs l? AUMS D=0 P= 1,81. NOne D 95 l83 Nonint. 03-01 Cattle DSP None None Improve U=0 G=0 * = º º wº- ºr e º 'º -º Thru * > * > * > * > 21,0A. ( * * * * * * > S=210 F=0 5220 21,0A. 02-28 8 AUMs 8 AUMs D=0 P=210 NOne D lº l8l. Nonint. 03-0 l Cattle None None None Improve U=0 G=0 * ºne nº º tº e º 'º º Thru cº-º - - - * - tº º q > S=578 F=0 5015 578A. 02–28 ll, AUMs ll, AUMs D=0 P=578 NOne D 35 l85 Nonint. 03-0l Cattle None None None Improve U=0 G=0 * * *-s º cº-e - tº- tº Thru tº e º 'º -e ºr e tº º º º S=ll0 F=0 5016 l20A. 02–28 l AUM l AUM D=0 P=ll.0 NOne D l? l86 Nonint. 03-0 l Cattle None None None Improve U=0 G=0 * * * = g-º e º º Thru & e º º ºs * > * > . . . . . S=320 F=0 522l 598A. 02-28 6 AUMs 6 AUMs D=0 P=320 NOne D 52 l87 AMP l2–0l Cattle None None RSW Improve U=0 G=0 * * * * tº º Es Eº Thru tº gº tº º cº- 2 º º gº º S=3503 F=0 5096 5,223A. 02–28 ll.0 AUMs tº e g º º º 210 AUMS D=0 P=3503 q_2 < … º - gº tº gº gº S&S MUMO D l;0 l; l, B-22 – ROYAL GORGE ENVIRONMENTAL STATEMENT RECOMMENDATION AND OBJECTIVE SUMMARX. Recommendations Objectives Kind of Stock/g SeaSOn - - - - Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land LiveStock Grazing e-º º cº- cº- Status/c - tº - - - - - --> Treatment Treatment Mgt. Admin/m Former - - - - Key Mgt. Type Type Facility º-º º º ºs Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p l88 Unall. None None EOG NOne FNC Improve U= 0 G=0 º º - - º- - - - - - - - - - - - l80A. l. I, Mi. G-> g. tº e º 'º S=180 F=0 515l l80A. None None None D=0 P=180 D 20 l89 AMP 06-l5 Cattle ACQ. None None Improve U=0 G=0 - - - - e- - - - Thru - - - - 21,0A. º sº º º S=l730 F=0 5201 2,861A. 02-28 l9 AUMs gº º º º 29 AUMS D=0 P=l730 & cº- tº- (- -º tº º ºs º- ROW 5202 MUMO D 261, l Rd. STCO (l. 25 Mi) COA 2 Allots. l90 AMP 08–0l Cattle ACQ THIN S&S Improve U=0 G=l,00 505l,5127, ---- Thru - - - - 80A. l,00A. 2 tº E G = - S=2590 F=0 5128,5129, 5,969A. Ol-l9 78 AUMs e- - - - l?7 AUMS D=0 P=2190 & 5130 - sº - º - - - - ROW P=l717 FEAR D 1,37 l Rd. STCO (0.50 Mi) COA 5 Allots. l90A Unall. None None ACQ None FNC Improve U=0 X=307 e- - - - - - - - º- G- º º - - - - - l,0A. 2.5 Mi tº e º e º T- S=600 G=0 5129 l,ll 5A. None NOne - Gº tº º None D=0 F=0 - - - - - EOG P=293 D 92 l,ll 5A. l9 l AMP 06-01 Cattle ROW NOne FNC Improve U=0 G=0 - - - - º- º G- G- Thru - - - - 5 Rds. 0.5 Mi. * - e < … º. º S=ll27 F=206 5003,5097 6,687A. lO-3l 210 AUMS (5.75 MI) G - G- E - cº- 315 AUMs D=0 P=392l & 5.222 - G- E - Gº -> --> --> --> emº º ºs S&S FEAR D 239 COA 2 STCO 3 Allots. tº e º 'º - > - - WTR 3 CTM l WLL 2 PPL l. 5 Mi. l92 AMP ll-01. Cattle ACQ BURN S&S Improve U=0 X=1:00 - - - - G- Gºº Gº Gº- Thru - G- º º 880A. l,00A. 5 - tº º e º º S=155ll G=l600 5002 26,652A. 02-28 571 AUMs Gº G = Gºº G- e º º Lº - B • e º 'º - > l,l}7 AUMs D=0 F=0 & - - - - - - - - ROW THIN CTM P=l35ll 5238 FEAR D l,039 2 RCls. l,600A. l STCO (2.25 Mi) Q- - tº º FNC 0.25 Mi. l93 AMP lO-Ol Cattle ACQ THIN S&S Improve U=0 G=l020 º º º me º- º º º Thru º- º ºs º- 61,0A. l,020A. l, tº º cº-º º S=lll33 F=31;5 500l l6,248A. 05-31 527 AUMs º º ºs º- 93l AUMS D=0 P=9768 - E- º º -> -º- ºr a ROW FEAR D 371, l Rd. STCO (l.50 Mi) l93A AMP 09-l9 Cattle None None None Improve U=0 G=60 cº- - - - - - - - Thru tº-º-e ‘E & P tº e º 'º - S=l75 F=0 501.9 l95A. ll-ll, l, AUMs 6 AUMs .D=0 P=ll 5 MUMO D lo STCO RECOMMENDATION AND OBJECTIVE SUMMARY APPENDICES — B-23 Recommendations Objectives Kind of Stock/g Season g-e ºs º º-e Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing *= º º gº Status/c « º e gº º sº tº Treatment Treatment Mgt. Admin/m Former º- - º º Key Mgt. Type Type Facility « . . . . . . tº Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p l94 AMP O8–Ol Cattle None BURN None Improve U=O X=32O tº º sº º t-e `e - tº- Thru Horses 32OA. &= - tº gº S=1876 G=O 5.188 2,462A. Ol-l9 tº e º e 96 AUMs D=O F=13 * - G - G - gº 37 AUMs P=1543 MUMO * - I - I - º STCO D 208 l95 AMP O8–Ol Cattle None None S&S Improve U=O G=O º º sº º tº-e ‘º º-, --> Thru * - º gº ºne 2 º º gº º S=312 F=72 5.192 685A. Ol-l9 13 AUMs 2O AUMS D=O P=24O MUMO D 62 STCO l96 AMP O8–Ol Cattle None None S&S Improve U=O G=O gº º º º º gº ºne - Thru cº-º º º - l * - e º 'º - ſº S=93 F=93 5147 278A. O1-15 2 AUMS 3 AUMs D=O P=O MUMO D 17 STCO 197 AMP O8–Ol Cattle COA THIN CTG Improve U=O G=4O5O *E* sº º º e - º º Thru * . . . . . . . . 4 Allots. 4,050A. 2 Q_º tº e º 'º º S=22623 F=O 5075,5107, 38,116A. Ol-15 7OO AUMs * - tº e - tº gº tº º º l,650 AUMs D=O F=18573 5108,5109 tº e º 'º - -> tº tº - ºf- ROW FNC FEAR D 13,081 7 Rds. 2 Mi. STCO (8.5O Mi) tº º ºs º- tº º tº gº tº S&S EUHU 3 l3,400A. tº-e ū-e ºs º-e CTM 5 RSW l l98 AMP O8-Ol Cattle ROW None FNC Improve U=O G=O $º º sº gº º tº L- e- cº- Thru GE E tº º 2 Rds. 2. O Mi. & sº º sº e- S=5O18 F=O 5OO5 8,46OA. Ol-l9 85 AUMs (3.50 Mi) l28 AUMS D=O P=5O18 & tº º º º * > * > * > * * * º e º e º tº 5091 STCO D 284 COA 2 Allots. l99 AMP O8-Ol Cattle DSP. None None Improve U=O G=O * ºne sº eme g- º º º Thru Horses 16OA. « » - º º S=7416 F=ll? 5773 9,868A. Ol-l9 tº . . . º. º. tº gº º e 50 AUMs D=O P-7299 gº º cº-e ‘º 5O AUMs EOG None * - e º º 3OA. D 40 2OO AMP O8-Ol Cattle None None None Improve U-O G=O * º ºs eme gº - e - Thru gº º º ºr e * > * > < * * > S=799 F=O 5813 l, lºSA. Ol-l9 7 AUMs 7 AUMs D=O P=799 None D 71 2Ol Nonint. O3-Ol Cattle None None None Improve U=O G=O * ºne eme eme tº e-ºe & Le º Thru * > * > . . . . e. tº e º e º 'º gº S=964 F=234 5734 l, l84A. O2-28 1O AUMS 10 AUMs D=O P=730 None D 29 2O2 AMP O8-Ol Cattle None None None Improve U-O G=O * Gºº Gº eme <-- º cº-e - Thru 6 º' --> -e ºs * > * > * > * > S=3458 F=O 57Ol 5,285A. Ol-l9 21 AUMs 21 AUMS D=O P=3458 None D 14 2O3 Nonint. O3–Ol Cattle DSP None None Improve U=O G=O * Sºme eme sº e-º º Gº gº Thru tº e º ºs º- 8OA. * - º e S=959 FsO 575l 2,717A. O2-28 14 AUMs 14 AUMs D=O P=959 None D Ill B-24 – ROYAL GORGE ENVIRONMENTAL STATEMENT RECOMMENDATION AND OBJECTIVE SUMMARY. Recommendations Objectives Kind of Stock/g Season tº tº º º Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing wº-> - º L- Status/c tº-e gº- ºr ſº º º- tº e º º Treatment Treatment Mgt. Admin/m FOrmer * - º cº- gº Key Mgt. Type Type Facility tº e º gº Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p 201; AMP 08–0l Cattle ROW THIN S&S Improve U=0 G=l!00 * - º 'º tº º sº º Thru * ... º ºs º- 2 RCls. l,00A. l tº e º 'º tº S=3303 F=80 587l 6, 1115A. Ol-lp 27 AUMs (2.50 Mi) 91, AUMs D=0 P=2823 º º ºxº gº tº e º tº º º ºs P=3, 183 MUMO D l82 EOG STCO l0A. 205 Nonint. 03-0 l Cattle None None None Improve U=0 G=0 cº-e ºr e - © … tº tº Thru tº e º e º 'º tº º º º S=7 F=7 5819 7A. 02-28 l AUM l AUM D=0 P=0 None None 206 Nonint. 03-0 l Cattle DSP. None NOne Improve U=0 G=110 gº º e º E tº º º º ºs º- ºr e Thru * . . . . . . . . 2,550A. & º e º 'º -> S=2510 F=260 Unall. 2,550A. 02-28 31, AUMs 31, AUMs D=0 P=2250 None None 207 Nonint. 03-01 Cattle DSP. None None Improve U=l;0 G=l10 º º º e- ºr - G - gº Thru * > . . . . . . . . . l,0A. • 2 e º 'º S=0 F=0 5802 l,0A. 02-28 5 AUMS 5 AUMS D=0 P=0 None D l 208 Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 gº º gº • Thru tº e º 'º a e l,0A. tº º e º 'º S=l;0 F=l;0 5822 l,0A. 02-28 l AUM l AUM D=0 P=0 None D ll 209 Nonint. 03-01 Cattle DSP. NOne None Improve U=0 G=0 gº tº º º ſº tº º ºs º- Thru tº e - e.g. º º l20A. * > * > * > * > S=ll0 F=0 571, l l20A. 02-28 l, AUMs l, AUMs D=0 P=ll.0 None D 2 210 Nonint. 03-0l Cattle DSP. None None Improve U=0 G=0 gº º º tº º e º e º 'º - … Thru tº º º º l60A. tº º ºr e º º S=l60 F=0 5870 l60A. 02-28 5 AUMS 5 AUMS D=0 P=160 None D 3 2ll Nonint. 03-0l Horses DSP. None None Improve U=0 G=0 e-e e º e gº tº gº tº a Thru * - I - I - cº- l60A. Q- E - gº S=l60 F=0 5915 160A. 02-28 7 AUMS 7 AUMS D=0 P=160 NOne D l 2l2 Nonint. 03-01’ Cattle DSP. NOne None Improve U=0 G=0 tº e tº tº- tº e º 'º - . . Thru cº-e & E º º 80A. * > * > * > *- S=80 F=0 5793 80A. 02-28 2 AUMS 2 AUMS D=0 P=80 NOne None 213 AMP 03-0l Cattle COA PLOW None Improve U=0 X=l00 tº e º º cº- cº- gº Thru cº-º º º 2 Allots. lC)0A. g-e ‘ e º ºs S=65l G=0 5793 65l/A. 02-28 33 AUMs 62 AUMs D=0 F=325 &5892 gº º e º ſº tº º E - e P=226 MUMO U l? STCO 2ll, Nonint. 03-0 l Cattle DSP. None NOne Improve U=0 G=0 Q_ _ _ _ _ _ _ tº gº º cº-º ºr e Thru * - I - º º l,0A. g-e - - - - - S=l60 F=l;0 Unall. l20A. 02-28 5 AUMS 5 AUMS D=0 P=l20 NOne None RECOMMENDATION AND OBJECTIVE SUMMARY APPENDICES – B-25 *— — Recommendations Objectives— Kind of Stock/g Season gºe º 'º - Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing ** = - Status/c gº- ºr e º 'º --> tº lº q > -º º Treatment Treatment Mgt. Admin/m Former e º e º º Key Mgt. Type Type Facility Cº-e º 'º - - Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j. Acreage/k Acreage/l Production/n Acres/o Acres/p 215 Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 ** * = Q- tº- tº º Thru tº-e tº e º 'º l2A. tº cº-e Eºs º- S=72 F=0 5845 92.A. 02-28 l AUM l AUM D=0 P=72 None D l 216 AMP 08-0l Cattle DSP. THIN CTG. Improve U= 0 G=l00 ** = - 5,271, A. Thru tº- º ºs º- l,0A. lC)0A. l *E* tº e º º S=3796 F=719 5918 Ol-lp 72 AUMs gº tº cº-º º l20 AUMS D=0 F=2977 tº º ºs º- º gº º º ºs WST P=262l FEAR D l68 l MUMO gº tº E tº PPL l. 3 Mi. S&S l 217 AMP 08-0l Cattle None None FNC Improve U=0 G=0 591; l 3,286A. Ol-l9 57 AUMs * - gº º sº º tº 86 AUMs D=0 P=250 l; G. : « » . . . . . e. * - © º S&S FEAR D lºº l MUMO 218 Nonint. 03-01 Cattle None None None Improve U=0 G=0 ** = - * > * > … e Thru tº-e - - tº º º cº-º º S=338 F=ll 7 5780 338A. 02-28 l, AUMs l, AUms D=0 P=22l NOne D l? 219 Nonint. 03-01 Cattle None None None Improve U=30 G=0 ** = - º gº tº e º 'º Thru tº º º ºr e º º * - sº - S=712 F=0 5883 71,2A. 02-28 5 AUMS 5 AUMS D=0 P=7.1.2 None D 31 220 Unall. NOne None None None None Improve U=0 G=0 ** = - tº e º º º ſº º is e- º E tº * Lºº tº º ºs º- tº º º º S=760 F=180 Unall. 760A. NOne None None D=0 P=580 None 222 AMP 08–0l Cattle ACQ. THIN S&S Improve U=0 G=700 sº * > . . . . . . . . Thru tº º tº E gº l,00A. 700A. 2 gº º cº-º º S=2619 F=0 :*::::816 3, 161A. Ol-l9 l3 AUMs * - º 'º - e ll.2 AUMS D=0 P=l.919 5898 gº tºº tº e º e “E” º º ºs COA FEAR D lºg 3 Allots MUMO 223 Unall. NOne None EOG None FNC Improve U=0 G=0 sº * * * > * > * > e º 'º tº tº º ºs º- 2,885A. l(). O Mi. tº e º 'º - … - S=2515 F=0 004 2 ,885A. NOne None None D=0 P=2515 D lz0 224 AMP 08–0l Cattle ACQ. THIN FNC Improve U=0 X=160 sº tº e º 'º Thru tº gº tº º l,50A. l60A.. l; .25 Mi. tº E tº sº ºn S=3726 G=l60 l?9 5, 211R. Ol-lp 32 AUMs tº e º 'º - - - - - tº º tº º q_º * - sº º ºs º- 88 AUMs D=0 F=0 tº-º º e º 'º tº º º º ROW BURN S&S P=31,06 MUMO D l8l4 l Rd. l60A. 2 ORHY (0.5 Mi) ags AMP 08-0 l Cattle COA None FNC Improve U= 15 G=l.9 sº { * ~ * ~ * * > Thru tº Lº º gº 2 Allots. l. 25 Mi. ---- S=850 F=0 jºbs 925A. Ol-l9 l8 AUMs tº º tº e º e 27 AUMs D=0 P=850 5 tº-e ‘º ºl.º tº e º 'º ROW 068 FEAR D 39 l Rd. ORHY (0.5 Mi) B-26 – ROYAL GORGE ENVIRONMENTAL STATEMENT RECOMMENDATION AND OBJECTIVE SUMMARY Recommendations Objectives Kind of Stock/g Season Gº tº dº gº Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing tº e º E tº Status/c tº sº e Eº e * = º º Treatment Treatment Mgt. Admin/m Former tº E tº Lº Gº Key Mgt. Type Type Facility Q_º tº º º Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p 226 Nonint. O3–Ol Cattle None None None Improve U=O G=O º º cº º {E_i º Egº tº Thru tº º tº gº tº dº ſº tº S=52O F=O 5142 600A. O2-28 4 AUMS 4 AUMS D=O P=52O None D 48 227 AMP O5-Ol Cattle COA THIN CTM Improve U=O X=5OO * > . . . . . . --> --> tº º º sº Thru tº ſº tº gº 2 Allots. l,500A. 2 tº º ºs º- S=553] G=15OO 5OO6 5,964A. lO-Ol l23 AUMs tº-e gº tº tº tº Es º º 465 AUMs D=O F=25O & tº gº º ºp tº ſº tº º BURN S&S P=3281 5.177 MUMO D la 3 AUMs 5OOA. l ORHY sº ºne º ºs FNC 4. O Mi. 228 Nonint. O3–Ol Cattle DSP. None None Improve U=O G=O tº ſº gº tº tº ſº º ſº Thru tº ºs º º lOA. *E º ºs º-e S=1O F=O Unall. lCA. O2–28 1 AUM l AUM D=O P=lO None None 229 Unall. None None EOG None FNC Improve =O G=O tº E (Exº º tº me tº º dº º ºs ºº {Eºs º gº º 2, 185A. 4.75 Mi. * * *-ºs º-º S=1322 F=O 5077 2, 185A. None None None =O P=1322 D 101 23O AMP O6-Ol Cattle COA BURN CTM Improve =O X=4OO gº tº º ºs tº gº tº º Thru tº tº tº e º E. tº e 2 Allots. 4OOA. l * - tº º S=2.194 G=200 5O27 3,579A. O2–28 123 AUMs g-e ‘EE Fºº F- 265 AUMs D=O F=O & &E ºn- sº gº *E ºr e º E tº º THIN 5227 STCO D 8 2OOA. P=1594 231 AMP O8–Ol Cattle DSP. BURN CTM Improve U=O X=1OOO gº º sº tº tº Eº º º Thru tº e º º tº 40A. l, OOOA. l tº e º 'º - e º º S=3849 G=4OO 5OO7 4,775 Ol-15 93 AUMs tº gº tº Lº Lº gº tº cº-º º 326 AUMs D=O F=O tº º- º gº tº-e ºs º gº ACQ THIN P=2449 MUMO D 663 40A. 4OOA. STCO 232 Nonint. O3-Ol Cattle None None None Improve U=O =O e-º º ſº tº * - e i = 2 * = g = Thru º tºº gº ºs e- º e - S=12O F=12O 51.95 l2OA. O2-28 T AUMs 7 AUMs D=O P=O None None 233 AMP O6-Ol Cattle ROW BURN None Improve =O X=4OO e-º º q_s tº gº tº tº º Thru tº-e wºº tº º l Rd. 4OOA . º º- tº gº º S=lO84 G=O 5O28 l,084A. O9–30 l42 AUMs (.5 Mile) 267 AUMs D=O =O tº - - - ºne º “Tº Tº gº P=684 MUMO U 82 ORHY 234 Nonint. O3-Ol Cattle DSP. None None Improve =O G=O “E - 6 tº º tº º ºſ-e ` Thru tº sº tº dº 40A. º º 'º º S=4O F=4O 5O29 40A. O2-28 4 AUMs 4 AUMS D=O =O None D 4 235 Nonint. O3-Ol Cattle DSP. None None Improve U=O G=O tº- tº º e tº º 'º - Thru tº º º- tº 260A. tº º – Fe S=360 F=4O Unall. 36OA. O2-28 ll AUMS ll AUMS D=O P=32O None None 236 Nonint. O3-Ol Cattle DSP. None CTM Improve U=O G=O * > - e º 'º tº * > . . . . . . . . . Thru Q- E. z º.º.º l, 220A. tº- º 'º - E-e S=122O F=O 5148 l, 22OA . O2-28 12 AUMS 12 AUMS D=O P=122O None D 130 RECOMMENDATION AND OBJECTIVE SUMMARY APPENDICES — B-27 *— Recommendations Objectives Kind of Stock/g Season tº- tº E tº Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing * * * = Status/c tº . . . Tº * - º ºs º-e Treatment Treatment Mgt. Admin/m Former cº- ºr e º cº- Key Mgt. Type Type Facility tº º E. Le Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p 237 AMP 08–0l Cattle DSP. THIN CTM Improve U= 0 G=l600 * * * * tº me º ºs Thru tº . . . . . . e. 320A. l,600A. l, tº º-, -e ºs S=27672 F=0 5036,5053, 52,229A. Ol-l9 2011 e- - -ºº º º º cº-e ºs 518 AUMs Dr.0 P=26072 5054,5148 g-e ºs º º tº º q ºn tº e º e ACQ S&S & 5.215 MUMO D 21:29 2, 120A. l, STCO * - e - - - <- F - F- º COA FNC 5 Allots. l. 75 Mi. 238 AMP 08-0l Cattle ROW THIN CTM Improve U=0 G= l;00 * * * = * > * > * > -º Thru {- gº t-e e l Rd. l,00A. l *_* tº a tº gº S=31,92 F=0 5055,5143 6,027A. Ol-lp l;2 AUMs (0.5 Mi) tº- tº º ll 7 AUMs D=0 P=3092 & 51.96 tº cº- tº - º- ºr e º 'º º tº cº- ºr- ºr - FNC STCO D 313 COA . 50 Mi. ORHY 3 Allots. 239 Nonint. 03-0 l Cattle DSP. None None Improve U= 0 G= 0 * * * = * * * * * * *- Thru & º 50A. tº gº tº tº S=50 F=0 Unall. 50A. 02-28 l AUM l AUM D=0 P=50 NOne None 21.0 Nonint. 03-0 l Cattle DSP. None NOne Improve U= 0 G=0 * * * = e- - - --> Thru gº tº dº º º 273A. *_ _º tº tº S=273 F=0 5767 273A. 02-28 2 AUMS 2 AUMS D=0 P=273 NOne D 37 240A. Nonint. 03–0 l Cattle DSP. None None Improve U= 0 G=0 * * * = e- tº gº tº Thru * tº 300A. tº-º cº- ºr º cº- S=300 F=0 Unall. 300A. 02–28 2 AUMS 2 AUMS D=0 P=300 None None 21, l Nonint. 03-0l Cattle DSP. None None Improve U= 0 G= 0 * * * = wº- º tº Thru tº e º 'º º 360A. tº sº º º S=360 F=2|| 0 5772 360A. 02–28 19 AUMS l9 AUMs D=0 P=l2O NOne D 53 21.2 Nonint. 03-0 l Cattle DSP. NOne S&S Improve U= 0 G=0 * * * = tº > Thru tº º G = g- º l,0A. tº e º º S= l;0 F=0 5774 l,0A. 02–28 l AUM l AUM D=0 P= l;0 NOne D l; 243 AMP 08–0l Cattle DSP. THIN S&S Improve U= 0 G=l 500 * * * = tº tº e < * * * Thru º º ºs º- 21,0A. lº,00 A. l, Mi g- tº º – S=9||66 F=0 5073 ll,579A. Ol-l9 ll6 AUMs ---- tº sºme º 'º 37 l. AUMs D=0 P=7966 gº º º Es &= º 'º º ROW CTM MUMO D 68l. 3 Rds. 3 STCO (5.25 Mi) i- tº º º FNC 2.50 Mi. 2|| || Nonint. 03-0l Cattle DSP. None None Improve U=0 G= 0 * * * = * - gº tº º Thru tº º – - 2, 375A. * = < *- - gº S=3699 F=l290 5074 3,059A. 02-28 l;6 AUMs g- º º l69 AUMs D=0 P=2|{09 gº º sº º $º º sº gº ACQ NOne D 202 l, 81,0A. EOG 21,0A. 245 Nonint. 03-0 l Cattle DSP. None None Improve U= 0 G=0 ** = - tº e º a Thru * - G -º º - 280A. tº - - S=280 F=0 52ll, 280A. 02–28 2 AUMS 2 AUMS D=0 P=280 NOne D 8 246 Nonint. 03-0 l Cattle None NOne None Improve U=0 G=0 ** - - gº tº º º Thru tº º – - - * - I - º º S=60 F=0 5ll;5 60A. 02–28 l, AUMs l, AUMs D=0 P=60 None D 8 B-28 – ROYAL GORGE ENVIRONMENTAL STATEMENT RECOMMENDATION AND OBJECTIVE SUMMARY Recommendations Objectives Kind Of Stock/g Season tº ºs º gºe Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing tº º ºs º- Status/c * * * * * * > *- tº º sº sº Treatment Treatment Mgt. Admin/m Former gº tºº tº gº Key Mgt. Type Type Facility * Gºº gº º Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p 247 Nonint. O3–Ol Cattle DSP. None None Improve U=O G=O * - - B - tº E tº gº Thru gº tº º ºs l6OA. tº º Eº º S=16O F=1OO Unall. 16OA. O2–28 2 AUMS 2 AUMS D=O P=6O None None 248 Nonint. O3–Ol Cattle DSP. None None Improve U=O G=O tº gº tº sº tº gº tº gº Thru emº sºme º sº. 56OA. Gº tº Ee ge S=56O F=56O 5.146 56OA. O2–28 28 AUMS 28 AUMS D=O P=O None D 21 249 Nonint. O3–Ol Horses DSP. None None Improve U=O G=O tº º tº E ę Gº tºº º Thru tº gº º º 8OA. tº e º 'º - e º 'º e S=8O F=8O 523O 8OA. O2–28 5 AUMs 5 AUMs D=O P=O None D 2 25O Nonint. O3–Ol Cattle DSP. None None Improve U=O G=O tº tº E tº tº se º ſº Thru {E GE tº º 25OA. tº E_* º tº S=30 F=O 5084 25OA. O2-28 1 AUM l AUM D=O P=30 None D 6 25l Nonint. O3–Ol Cattle DSP. None None Improve U=O G=O tº gº tºº tº “E tº º gº Thru tº º º º 90A. $Eº tº cº-º gº S=90 F=O 5175 90A. O2–28 2 AUMS 2 AUMS D=O P=90 None D 4 252 Nonint. O3-Ol Cattle DSP. None None Improve U=O G=O tº E tº Gº tº sº tº gº Thru wºme tº gº tº 40A. tº tº ſº- tº e S=4O F=O 5307 40A. O2–28 2 AUMS 2 AUMS D=O P=4O None D 2 253 Nonint. O3–Ol Cattle DSP. None None Improve U=O G=O tº gº tº tº tº EE tº tº Thru $º º Eº º 32A tº º º ºs S=12 F=O 5865 82A. O2–28 1 AUM l AUM D=O P=12 None D 2 254 Nonint. O3–Ol Cattle DSP. None None Improve U=O G=O gº º º ºs tº E_* º --> Thru “Es sº º ºs 7OA. gº tº º º S=7O F=O Unall. 7OA. O2–28 2 AUMS 2 AUMS D=O P=7O None None 255 Nonint. O3-Ol Cattle DSP. None None Improve U=O G=O GE CE Eº º * “Eºs º- tº-3 Thru tºº “º º ºs 2OOA. tº gº tº tº e S=2OO F=O 5884 2OOA. O2-28 1 AUM l AUM D=O P=2OO None D 6 256 Nonint. O3–Ol Cattle DSP. None None Improve U=O G=O tº E tº º tº gº tºº e Thru tº tºº tº EE 596A. tº º ſº e S=125 F=125 5855 596A. O2–28 9 AUMs 9 AUMs D=O P=O None D 4l 257 Nonint. O3–Ol Cattle DSP. None None Improve U=O G=O tº sº tº tº tº e º 'º - 3 - ? Thru tº sº º º 40A. tº sº tº gº S=4O F=O 5847 40A. O2–28 1 AUM l AUM D=O P=4O None D 7 258 Nonint. O3–Ol Cattle DSP. None None Improve U=O G=O tº gº tº º gº tºº tº º Thru E_º - 4 - > --> 594A. * - « » «- º S=434 F=434 5889 594A. O2–28 21 AUMS 21 AUMS D=O P=O None D lº2 RECOMMENDATION AND OBJECTIVE SUMMARY APPENDICES – B-29 T- Recommendations Objectives Kind of Stock/g SeaSOn tº E_* ºr E 4 º' Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing ** = - Status/c * * * * > -- * * * tº gº tº gº Treatment Treatment Mgt. Admin/m Former tº e º e Eº º º Key Mgt. Type Type Facility tº º- tº º Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p T- 259 Nonint. 03–0 l Cattle DSP. None None Improve U= 0 G= 0 ** = = Q_º tºº tº Lº e Thru G. E. l80A. tº tº º tº S=l80 F=50 Unall. l80A. 02–28 lO AUMS l0 AUMS D=0 P=130 NOne None 260 Nonint. 03-0 l Cattle DSP. None NOne Improve U= 0 G=0 ** = - tº e º 'º tº Thru t- > e º 'º 675A. º º º- tº S=675 F=675 5763 675A. 02-28 38 AUMs 38 AUMs D=0 P=0 None D 85 26l Nonint. 03–0 l Cattle DSP. None None Improve U=0 G=0 ** = - * - F- º Thru tº e º 'º - a - 200A. g-º º- tº- º S=200 F= l;0 Unall. 200A. 02–28 l2 AUMS l2 AUMs D=0 P= 160 None None 262 Nonint. 03–0 l Cattle DSP. NOne None Improve U=0 G=0 ** = - * - º q_º - Thru tº e º tº 390A. tº gº tº º S=l0 F= 10 Unall. 390A. 02-28 9 AUMs 9 AUMS D=0 P=0 NOne None 263 Nonint. 03-0 l Cattle DSP. None None Improve U= 0 G=0 ** = - & Lº º Thru g-e ºs º-ºº º 507A. º ºs º ºs S=507 F=3||7 5744 507 A. 02–28 27 AUMs 27 AUMS D=0 P=160 NOne D ll 26!! Nonint. 03-0l Cattle DSP. None None Improve U- O G= 0 ** = - sº e- cº º Thru e- º ºxº gº l9A. tº sº tº º S=l.9 F=l.9 5893 l9A. 02–28 2 AUMS 2 AUMS D=0 P=0 None D l 265 Nonint. 03-0l Cattle DSP. NOne NOne Improve U=0 G=0 sº Q- e ∈ tº Thru * > * * * * lº,0A. *E º sº º S=150 F=150 795 lº,0A. 02-28 l, AUMs l, AUMs D=0 P=0 NOne D 27 266 Nonint. 03-0 l Cattle DSP. None None Improve U= 0 G=0 sº & Thru tº gº º ºs 30A. tº gº º - S=30 F=30 922 30A. 02-28 3 AUMs 3 AUMs D=0 P=30 None D l & Nonint. 03-01 Cattle DSP. None None Improve U= 0 G=0 sº ( * > * > . . . . . . Thru tº cº-e ºs º- l,06A. * * * *-s º º S= 1,06 F= 1,06 92l l,06A. 02-28 22 AUMS 22 AUMS D=0 P=0 NOne D 31, ass Nonint. 03-01 Cattle DSP. None None Improve U= 0 G=0 sºn, tº º º Thru º sº gº ºne 280A. * - © tº e S=280 F=0 917 280A. 02-28 8 AUMs 8 AUMs D=0 P=280 NOne D 6 39 Nonint. 03–0 l Cattle DSP. None None Improve U=0 G=0 º tº e º e Thru tº 3 tº . . tº º l,0A. tº e- cº-º º S=l;0 F=0 hall. l,0A. 02-28 l AUM l AUM D=0 P= 10 NOne None sº Nonint. 03–0 l Cattle DSP. None None Improve U=0 G=0 Sn. tº e - Thru tº . . . . . . . . . . 320A. * . . . . . . . . . . e. S=320 F=0 lS 320A. 02-28 l8 AUMs l8 AUMs D=0 P=320 NOne D 25 B-30 – ROYAL GORGE ENVIRONMENTAL STATEMENT RECOMMENDATION AND OBJECTIVE SUMMARX. Recommendations Objectives Kind of Stock/g SeaSOn &_* Eº gº º º º Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing tº - E -º Status/c tº º e tº º º- tº Treatment Treatment Mgt. Admin/m Former gº º cº-e - Key Mgt. Type Type Facility º- - gº º Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p 27l Wonint . 03–0 l Cattle DSP. None None Improve U= 0 G=0 e- º º º cº-º º 'º - - Thru cº- tº gº º 60A. g- -º º S=60 F=60 Unall. 60A. 02-28 l AUM l AUM D=0 P=0 None None 272 Nonint. 03-0l Cattle DSP. None None Improve U=0 G=39 g-e gº º tº i-, -e º tº Thru * > . º – gº 79A. gº º tº gº S=79 F= 10 5878 79A. 02-28 5 AUMS 5 AUMs D=0 P=0 None None 273 Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 gº tº gº tºº tº- ºr e º tº Thru * … º. º. º º l20A. tº º 3 S=l20 F=0 5899 l20A. 02-28 7 AUMS 7 AUMs D=0 P= 120 NOne D lº 27 l; Nonint. 03-0l Cattle DSP. None None Improve U=0 G=0 gº º º tº tº º Thru tºº º ºs º- l20A. tº- tº º º S=l20 F=0 5900 l20A. 02–28 6 AUMs 6 AUMs D=0 P=120 NOne D l? 275 Nonint. 03-0l Cattle DSP. None None Improve U=0 G=0 g- º sº tº tº-e ūs ū-e - Thru gº tº gº tº 80A. * - tº º 'º -> S=80 F=0 571,8 80A. 02–28 5 AUMS 5 AUMS D=0 P=80 None D l 276 Nonint. 03-0 l Cattle DSP. None None Improve U= 0 G=0 tº- tº-tº gº tº {-º e º 'º -> Thru tº tº l,0A. e-º º q > --> S=l;0 F=0 Unall. l,0A. 02–28 2 AUMS 2 AUMS D=0 P=l;0 NOne NOne 277 Nonint. 03-0l Cattle DSP. NOne None Improve U= 0 G=0 tº sº º º * > * > * > …º Thru gº º e º 'º - 280A. tº º q > - e - S=280 F=0 5900 280A. 02-28 2l AUMS 2l AUMs D=0 P=280 NOne D l; l; 278 Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 gº º sº tº cº- tº E tº e º º Thru tº e º ºs 230A. gº º sº tº S=210 F=0 590l 230A. 02-28 lO AUMS lO AUMS D=0 P=210 NOne D 32 279 Nonint. 03-01 Cattle DSP. NOne None Improve U=0 G=0 tº e º 'º - > * > gº º cº-e G- Thru gº º ºs º- ls 3A. tº º lº S=l;0 F=0 5861, lº,3A. 02–28 l AUM l AUM D=0 P= l;0 NOne D 21, 280 Nonint. 03-0l Cattle DSP. None None Improve U=0 S=0 º tº gº tº º gº tº cº- cº-e Thru * - cº-e ſº º- 370A. tº e º - S=80 F=0 5853 370A. 02-28 5 AUMS 5 AUMS D=0 P=80 NOne D 62 281 Nonint. 03-01 Cattle DSP. None None Improve U= 0 G=l20 5900 l20A. 02-28 ll AUMS ll AUMS D=0 P=0 None D 21, 282 Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 tº e º - º * - e º º Thru tº e- - - 520A. * - I - E - e S=120 F=0 5818 520A. 02-28 21, AUMs 21, AUMs D=0 P= 1,20 NOne D loé RECOMMENDATION AND OBJECTIVE SUMMARY. Recommendations APPENDICES — B-31 Objectives Kind of Stock/g Season gº sº tº º Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing « e º 'º e Status/c tº tº tº gº- ( = c_º tº Treatment Treatment Mgt. Admin/m Former tº e E. E. tº e Key Mgt. Type Type Facility gº º º sº Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p 283 Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 tº e º 'º tº gº º sº gº Thru * Le º 'º - l,0A. tº . . . . . .e. S=l.0 F=0 5812 l,0A. 02-28 l AUM l AUM D=0 P=l O NOne D 3 281, Nonint. 03-0 l Cattle ACQ. None None Improve U=0 G=0 tº e º 'º º q_º º tº º E Thru tº tº gº 6,360A. &E sº tº gº S=l,678 F=l,520 5752 5,518A. 02-28 97 AUMs 97 AUMS D=0 P=3, 158 NOne D 21,5 285 Nonint. 03-0 l Cattle ACQ. None NOne Improve U=0 G=0 tº e - Gºº tº Tº e Thru * * *-s º – 2, lz0A. * … . . . . tº a S=l,880 F=60 5781, l,680A. 02-28 53 AUMs 59 AUMs D=0 P=l,820 NOne D lz5 286 Nonint. 03-0 l Cattle ACQ. None None Improve U= 0 G=0 tº e º 'º - º * * * * * * * * Thru * - e º 'º -º 880A. {-, - º ºxº S=l,080 F=320 581,3 l,8118A. 02–28 50 AUMS 50 AUMS D=0 P=760 NOne D log 287 Nonint. 03-0 l Cattle DSP. NOne None Improve U=0 G=0 * . . . . . . . . . . tº ºs º- 'º Thru e-Is - - 2,556A. tº º sº º S=920 F=260 5827 2,556A. 02–28 l;0 AUMs 10 AUMs D=0 P=760 (See 317 e- º 'º - * - © e º º & 323) None D 27 l; 288 Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 e º 'º - º, º ºs º- Thru tº 61,0A. tº º ºs º- S=625 F=0 Unall. 61,0A. 02-28 9 AUMs 9 AUMS D=0 P=625 NOne None 289 Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 gº º e tº º tº e Thru tº e º 'º e. 200A. tº e º 'º - e S=l60 F=0 5872 200A. 02–28 2 AUMS 2 AUMS D=0 P=160 NOne D 7 290 Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 * - c_º - ºr º tº cº- tº º e Thru gº tº e º e l60A. * > *- : * ~ * S=60 F=0 Unall. 160A. 02-28 l AUM l AUM D=0 P=60 None None 291 Nonint. 03-01 Cattle DSP. None None Improve U=0 G= * > . º - * - º e º Tº Thru * - ºr º º 61,0A. « » « » « » º S=1100 F= 581.0 61,0A. 02-28 5 AUMS 5 AUMS D=0 P= 100 None D 51, 292 Nonint. 03-01 Cattle DSP. None None Improve =0 G=310 e º 'º - e < * gº tº gº º Thru gº tº e -º ºr e l, 1,28A. gº tº e º – º – S=l, 1,08 F=0 5725 l, 1,28A. 02-28 62 AUMs 62 AUMs D=0 P=l, 168 NOne D 69 293 Nonint. 03-01 Cattle DSP. NOne None Improve U=0 G=0 tº e º e- ºr e º sº º Thru tº . . . . . . . . . 80A. gº º sº º S=60 F=0 Unall. 80A. 02-28 l AUM l AuxA D=0 P=60 None None 291. Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 . . . . . . . . . .e. * - e º tº dº...º Thru wº- ºg º º 25l/A. tº º E tº º S=l00 F=0 5821 25l.A. 02-28 5 AUMS 5 AUMS D=0 P= 100 NOne D 31, B-32 – ROYAL GORGE ENVIRONMENTAL STATEMENT RECOMMENDATION AND OBJECTIVE SUMMARY. Recommendations Objectives Kind of Stock/g SeaSOn *E_ __e E. & E. Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing tº gº tº º Status/c tº E tº . tº tº tº º tº gº Treatment Treatment Mgt. Admin/m Former * - º tº º ſº Key Mgt. Type Type Facility tº tº e Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p 295 Nonint. 03–0 l Cattle DSP. None None Improve U= 0 G=0 * > * > * > Lº tº e º 'º - ſº º Thru *E tº º l, lº 7A. cº- cº- ſº gº S=l, lº'7 F=0 5857 l, lº'7A. 02–28 25 AUMS 25 AUMS D=0 P=l, lº'7 NOne D 80 296 Nonint. 03-0 l Cattle DSP. NOne None Improve U=0 G=0 gº º EE tº * - E- ſº Thru tº tº º gº l, 1,0A. º º- tº- tº S=l, l;0 F=0 5832 l, 1,0A. 02-28 7 AUMS 7 AUMS D=0 P= || || 0 None D 25 297 Nonint. 03-0l Cattle DSP. None None Improve U=0 G=0 gº º e º º tº . . . . . . . . . . Thru &E º – º l, l'70A. tº- tº- tº- º S=690 F = 0 5732 l, l'î0A. 02–28 l6 AUMs l6 AUMs D=0 P=690 NOne D 75 298 Nonint. 03-0l Cattle DSP. None None Improve U= 0 G=0 tº e º 'º -> * * tº- ºr e º 'º -> Thru tº e º 'º -º º 80A. * - > * - - - - - S=l0 F= 0 Unall. 80A. 02-28 l AUM l AUM D=0 P= 10 NOne None 299 Nonint. 03–0 l Cattle DSP. NOne None Improve U=0 G=0 * > * > * > * > cº-º º q_ _e Thru º ſº tº e º e l,523A. gº tº tº º S=680 F=0 5897 l,523A. 02–28 2l AUMS 2l AUMs D=0 P=680 NOne D 86 300 Nonint. 03–0l Cattle DSP. None None Improve U=0 G=0 tº º º º * > * tº gº tº Thru g-e E- º – 61.6A. tº-e E-º º º S=590 F=30 5926 61,6A. 02-28 27 AUMs 27 AUMs D=0 P=560 None D 91 30l Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 sº º me tº {-, -, -º gº Thru tº E- º ºs 520A. sºme emº ºne º S=l;0 F= 10 Unall. 520A. 02-28 l AUM l AUM D=0 P=0 None D ll! 302 Nonint. 03-0 l Cattle DSP. None None Improve U= 0 G=0 e- tº º º º gº º ºs Thru {E e º ſº tº 920A. tº gº º ºs S=l!90 F=90 5733 920A. 02-28 l() AUMS lO AUMS D=0 P= 100 None D ll! 303 Nonint. 03-0 l Cattle DSP. NOne None Improve U=0 G=0 tº e º ºs tº º sºme ºs º ºs Thru tº . . . E . . 680A. * º º S=360 F=160 Unall. 680A. 02–28 l, AUMs l, AUMs D=0 P=200 NOne None 301; Nonint. 03-0l Cattle DSP. None None Improve U=0 G=0 tº e º E tº tº tº gº tº Thru tº e º e 880A. tº tº ſº-º S=5||0 F=0 5858 880A. 02–28 l0 AUMS lO AUMS D=0 P=5,10 None D 32 305 Nonint. 03-0 l Cattle DSP. None NOne Improve U= 0 G=0 {L_* tº e º tº tº - tº- tº Thru cº-e gº- (- º l,0A. gº º º tº S=l;0 F=0 Unall. l,0A. 02–28 2 AUMS 2 AUMS D=0 P= 10 NOne None 306 Nonint. 03–0 l Cattle DSP. None NOne Improve U=0 G=0 tº e tº-º º - Thru tº e º l, lll:0A. cº-e º – º º S=680 F=0 Unall. l, Al,0A. 02-28 8 AUMs 8 AUMs D=0 P=680 NOne NOne RECOMMENDATION AND OBJECTIVE SUMMARY APPENDICES – B-33 Recommendations Objectives Kind of Stock/g Season &E * Gºº gº Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing tº ºme º ºs Status/c º- - gº- *-ºs º tº Treatment Treatment Mgt. Admin/m Former * . . . . . . . . . . Key Mgt. Type Type Facility * * *-* - Lº tº e Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p 307 Nonint. 03-0l Cattle DSP. NOne None Improve U=0 G=0 * * = º eºs º- tº- cº-e Thru tº-e ºs º ºs l,560A. tº ºm º º S=l,560 F=0 Unall. l, 365A. 02-28 36 AUMs 36 AUMs D=0 P=l,560 NOne None 308 Nonint. 03-0l Cattle ACQ. NOne None Improve U= 0 G=80 * * * * tº-e ‘Tº º Thru § - E - - - tº º ll, l20A. sº º sºme ſº S=6,966 F= 620 5879 7,307A. 02–28 231, AUMs 231, AUMs D=0 P=6,267 NOne D lºl, 309 Nonint. 03–0l Cattle DSP. None None Improve U= 0 G=0 * - º ºs tº- (-e E = Thru . . . . . . . º l90A. tº ſº º ºs S=l 90 F=0 Unall. lº,0A. 02-28 6 AUMs 6 AUMs D=0 P=150 None NOne 310 Nonint. 03–0 l Cattle DSP. None None Improve U= 0 G= 0 sº me º ºs tº-e ºs º- º Thru tº ºs º- º 200A. * = º ºs S=200 F=0 5925 200A. 02–28 8 AUMs 8 AUMs D=0 P=200 NOne D l? 3ll Nonint. 03–0l Cattle ACQ. None None Improve U= 0 G=0 * * * * wº- ºr e º 'º --> Thru sº º sº gº 360A. tº º sº º S=391 F=3ll 5868 ll2A. 02-28 6 AUMs 22 AUMS D=0 P=80 NOne None 312 Nonint. 03-0l Cattle ACQ. NOne None Improve U=0 G=0 * * * * = G-> -- . . . . . . . Thru tº tº º l, 61,0A. gº º ºs º- S=5|| || F=301; 5769 l, 101|A. 02-28 lO AUMS lO AUMS D=0 P=210 NOne D 35 313 Nonint. 03–0 l Cattle DSP. None None Improve U=0 G=0 * * * * tº º ſº º Thru * - º º - gE l,0A. Gº tº º ºs S=l;0 F=0 Unall. l,0A. 02-28 2 AUMS 2 AUMS D=0 P= 10 NOne None 3ll, Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 * * * = tº- tº tº tº Thru g- ºr º- tº 87 A. sº tº º sº. S=87 F=0 5886 87 A. 02–28 5 AUMS 5 AUMS D=0 P=87 NOne None 315 Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 * * *m, eme emº º ºs º- Thru tº- tº tº gº l,0A. * - tº - ſº S=l0 F=0 5896 l,0A. 02-28 l AUM l AUM D=0 P=l O NOne D l 316 Nonint. 03-0l Cattle DSP. None None Improve U=0 G=0 * * * me º gº tº - Thru {--> - tº gº 21,0A. º tº me º S=2|10 F=0 57 l;6 21,0A. 02-28 9 AUMs 9 AUMS D=0 P=2|| 0 NOne D lº 317 Nonint. 03-0l Cattle ACQ. None None Improve U=0 G=0 * * * = * - tº ſº tº º Thru tº º º º 380A. * - ſº- - º S=8||0 F=0 5827 l, 240A. 02-28 20 AUMS 20 AUMS D=0 P=8||0 (See 287 gº ºne º º tº º tº gº & 323) NOne D l?0 3.18 Nonint. None Cattle ACQ. None NOne Improve U=0 G=0 * * me eme sº sº º ºs tº e º ſº ºne º º ºs l,500A. sº- ºr e = ′ = S=5,219 F=360 5785 5,2119A. None 209 AUMS 209 AUMs D=0 P=l,889 D 266 B-34 – ROYAL GORGE ENVIRONMENTAL STATEMENT RECOMMENDATION AND OBJECTIVE SUMMARY Recommendations Objectives Kind of Stock/g SeaSOn *E* sº tº tº Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land LiveStock Grazing tº º º Es Status/c tº- tº dº tº gº tº Eº º Treatment Treatment Mgt. Admin/m F Ormer tº E tº tº E Key Mgt. Type Type Facility g-º º tº º Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition NO/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p 319 Nonint. 03-0l Cattle ACQ. None None Improve U=0 G=0 tº º tº E tº E. E. tº Thru “E” Eº e º 'º 5,260A. º gº tº e gº S=l, l69 F= || || 0 5828 l, 209A. 02-28 73 AUMs 76 AUMs D=0 P= 729 (See º º sº ºne tº º º gº 32!!) NOne D 52 320 Nonint 03–0l Cattle DSP. None None Improve U=0 G=0 tº e º E tº E & E. tº º º º Thru gº tº º 'º e 320A. emº º ºs ºs S=20 F=0 587 l; 320A. 02-28 l AUM l AUM D=0 P=20 NOne D 32 32l Nonint. 03-0l Cattle ACQ. None None Improve U=0 G=0 tº-e ºs º- e º tº º ºxe sº Thru tº tº $ tº º l,80A. sº º sº º S=l,880 F=60 5781, 200A. 02-28 6 AUMs 59 AUMS D=0 P=l,820 NOne D 25 322 Nonint. 03-0l Cattle DSP. NOne None Improve U=0 G=0 gº- (- e º sº tº tº gº º gº Thru wº- º – º 'º e l,0A. * > * > * > -e S=l;0 F=l;0 57 l;2 l,0A. 02–28 l, AUMs l, AUMs D=0 P=0 NOne D 2 323 Nonint. 03-0l Cattle DSP. None None Improve U=0 G=0 tº e º e º 'º º {- gº tº e - Thru º º tº 280A. gº º cº-e ºs S=200 F=200 5827 280A. 02-28 l, AUMs l, AUMs D=0 P=0 (See 287 * > * > t > -º * - & 317) NOne D 26 321, Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 g- tº tº tº gº tº e º º Thru * - I e º 'º l,0A. tº º S=l;0 F= 10 5828 l,0A. 02-28 3 AUMs 3 AUMs D=0 P=0 (See 319) tº e º 'º - * > --> º L- None D 2 325 Nonint. 03-0l Cattle DSP. None None Improve U=0 G=0 º, º º tº gº ºne º Thru eme º º ºs 520A. emº tº cº- º S=20 F=0 573.l 520A. 02-28 l AUM l AUM D=0 P= 20 None D l; l; 326 Nonint. 03-0 l Cattle DSP. None None Improve U= 0 G=0 tº gº tº e º º gº- (- - - - - - Thru tº º- tº- tº- 603A. sº tº dº sº S=lOO F=lOO 5908 603A. 02–28 9 AUMS 9 AUMS D=0 P=0 None D 52 327 Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 G-> -º e- º Eº º Thru gº º º º 220A. * - º ºs º- S=220 F=0 Unall. 220A. 02–28 l AUM l AUM D=0 P=220 NOne None 328 Nonint. 03-01 Cattle DSP. None NOne Improve U=0 G=0 g- º Gº tº “E” E º gº Thru * > * > * > * > ll.0A. tº º º- ºr- S=l0 F=0 591.0 ll.0A. 02-28 l AUM l AUM D=0 P=l O NOne D lo 329 Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 gº º sº º tº e º a Thru e- - - --> 35A. * > * > . . . . S=35 F=0 5895 35A. 02–28 2 AUMS 2 AUMS D=0 P=35 None D l 330 Nonint. 03-0l Cattle DSP. NOne NOne Improve U=0 G=0 & º * * * * Thru * * * * * * * > 20A. gº º e º Tº S=5 F=0 5936 20A. 02-28 l AUM l AUM D=0 P=5 NOne D l RECOMMENDATION AND OBJECTIVE SUMMARY APPENDICES — B-35 Recommendations Objectives Kind of Stock/g Season sº º º ºxe Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing * = me º Status/c tº º º º e-º º º E Treatment Treatment Mgt. Admin/m Former tº- tº-º tº e ∈ Key Mgt. Type Type Facility gº tº - - Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p 33l Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 &= -s º ºs gº tº tº º Thru tº - tº ºn 800A. © e º – º S=l;0 F= 0 Unall. 800A. 02-28 l AUM l AUM D=0 P= 10 NOne None 332 Nonint. 03-0 l Cattle DSP. None None Improve U= 0 G= 0 * gº º gº tº - Thru tº- tº- tº- º l60A. tº me º º S=20 F=0 5891, l60A. 02-28 l AUM l AUM D=0 P= 20 NOne D 9 333 Nonint. 03-01 Cattle DSP. None None Improve U= 0 G=0 º me tº º * - G - e º ºs Thru * - - tº e 560A. &= - me º S= 100 F=0 5931, 560A. 02–28 ll AUMS ll AUMS D=0 P= 100 None D 76 331; Nonint. 03-0 l Cattle DSP. None None Improve U=0 G-0 * = ′ = º tº -, -º º Thru tº e º 'º ... e. 60A. tº gº tº º S=30 F=0 5933 60A. 02-28 l AUM l AUM D=0 P=30 NOne D l; 335 Nonint. 03-0l Cattle DSP. None None Improve U=0 G=0 * * º ºs e-º º- º º Thru tº a tº . . . . . . l, 1,0A. tº ºs º º S=70 F=0 Unall. l!!!0A. 02–28 3 AUMs 3 AUMs D=0 P=70 NOne NOne 336 Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 * - ºne º tº-e Thru * - Lº tº º l,0A. º º º ºs S= 1.0 F=0 57.27 l,0A. 02-28 l AUM l AUM D=0 P= 10 None D 2 337 Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 *_º - º ºs &= ± = G- Thru tº-e º ºs 60A. gº tº º ºs S=30 F=0 Unalll. 60A. 02-28 l AUM l AUM D=0 P=30 None None 338 Nonint. 03-01 Cattle DSP. None None Improve U= 0 G=0 * * * * tº- tº- e º ºs Thru * - ºr e º 'º - l;91A. * - I -º º - S=391 F=3|ll 5868 378A. 02-28 ll, AUMs 22 AUMS D=0 P=80 None None 339 Nonint. 03-0l Cattle DSP. None None Improve U=0 G=0 * * = em. tº tº Thru tº e- cº-e ºs l,536A. tº e º ºs S=800 F=800 5923 l,536A. 02-28 58 AUMs 58 AUMs D=0 P=0 None None 31.0 Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 * * * = tº e- - - Thru * > * > . º - l,0A. º “E - gº S=l;0 F=0 5907 l,0A. 02-28 l AUM l AUM D=0 P=l;0 NOne D 5 31, l Nonint. 03-01 Cattle DSP. None None Improve U=0 G=0 * * me me tº- (-º º º cº- Thru tº e º 'º º e l, 207A. tº- tº G- tº- S=210 F= 0 5713 l, 207A. 02–28 6 AUMs 6 AUMs D=0 P=210 NOne D lºl 31.2 Nonint. 03–0 l Cattle DSP. None None Improve U=0 G=30 * * me am, gº tº º q_º Thru tº e 776A. gº tº gº º S=150 F= 1,20 5803 776A. 02-28 37 AUMs 37 AUMs D=0 P=0 NOne D 31 B-36 — ROYAL GORGE ENVIRONMENTAL STATEMENT RECOMMENDATION AND OBJECTIVE SUMMARY. — Recommendations Objectives Kind of Stock/g Season tº- tº gº tº Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing cº-º º tº º Status/c gº tº tºº º “E” Ef ººº tº º Treatment Treatment Mgt. Admin/m FOrmer tº gº tº º ºs # * Key Mgt. Type Type Facility * - tº- º ºs Range Range Allot. Federal Vegetative Adjust & & & Forage Trend Condition NO/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p 31,3 Nonint. 03–0 l Cattle DSP. NOne None Improve U=0 G=0 tº tº º º e-Is º º º Thru tº º º tºº gº 920A. º “R- E- º S=20 F=0 Unall. 920A. 02-28 l AUM l AUM D=0 P= 20 None None 31, l; Nonint. 03-0l Cattle DSP. NOne None Improve U=0 G=0 gº tº gº tº e e-º º ºs º-'s gº Thru &E - gE- tº 21,0A. cº-e ‘E- º º S=l20 F=l2O 578 l 21,0A. 02–28 l9 AUMS lº, AUMS D=0 P=0 NOne D 7 31, 5 Nonint. 03–0 l Cattle DSP. NOne None Improve U=0 G=l;0 tº- ºr- tº cº-º º-e sº- º Thru * = <- tº- l,0A. tº gº º gº S= 10 F=0 Unall. l,0A. 02–28 l, AUMs l, AUMs D=0 P=0 None NOne 31,6 Nonint. 03–0 l Cattle DSP. None None Improve U=0 G=l;0 tº º tº tº º ſº Thru tº gº º cº- l,0A. º º ºxº gº S=l;0 F=0 57.96 l,0A. 02–28 l, AUMs l, AUMs D=0 P=0 None None 3||7 Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=l;0 gº º cº-e ū- e- - - - Thru cº- tº- (- ºr e l,0A. tº tº e S= l;0 F=0 5718 l,0A. 02-28 2 AUMS 2 AUMS D=0 P=0 NOne D 6 31,8 Nonint. 03-0l Cattle DSP. None None Improve U=0 G=0 wº-tº I-B tº tº-º º º º Thru tº - e l,0A. tº tº e º 'º S=l;0 F= l;0 57.27 l,0A. 02-28 l, AUMs 2 AUMS D=0 P=0 None D 3 31, 9 NOnint. 03-0 l Cattle DSP. None None Improve U=80 G=80 tº gº tº tº * - I - I - ºne Thru sº tº º ºs 680A. gº ºs º gº S=0 F=0 Unall. 680A. 02-28 3 AUMS 3 AUMs D=0 P=0 None None 350 Nonint. 03–0 l Cattle DSP NOne None Improve U=0 G=310 tº E. Lº gº º cº-e - Thru * - tº º ºs l, 200A. tº ºs º º S=310 F=0 5831, 960A. 02-28 l!2 AUMs l!9 AUMs D=0 P=0 NOne D ll, 35l Nonint. 03-0 l Cattle DSP. NOne None Improve U=0 G=0 « » . . . . . . . . gº º tº º Thru gº º cº- tº 600A. tº º S=20 F=20 5875 600A. 02-28 2 AUMS 2 AUMS D=0 P=0 NOne D 7 352 Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=0 * - gº º- tº º tº º sº gº Thru tº e º 'º e º 200A. tº tº S=200 F=200 572l 200A. 02–28 l'7 AUMs 17 AUMs D=0 P=0 NOne D 8 353 Nonint. 03-0 l Cattle DSP. None None Improve U=0 G=80 ( * * > . . . . . . tº -º e º 'º Thru tº- º º ºt 3,71,0A. gº º tº º S=200 F=l20 Unall. 3,710A. 02-28 5 AUMS 5 AUMs D=0 P=0 NOne None 351, Nonint. 03-01 Cattle DSP. None None Improve U=l;0 G=l;0 * - I -, - tº tº º º º Thru g-º gº - - 720A. tº-e ſº º sº º S=0 F=0 Unall. 720A. 02-28 2 AUMS 2 AUMS D=0 P=0 NOne None APPENDICES – B-37 RECOMMENDATION AND OBJECTIVE SUMMARY *— Recommendations Objectives Kind of Stock/g Season º º cº-º tº Mgt. Of Forage/h Key No/a Mgt. Use/e Production Administ. Land Livestock Grazing * * * * Status/c ---- Gº tº - gº Treatment Treatment Mgt. Admin/m Former º º º Eº Key Mgt. Type Type Facility tº-e G- ºr e º Lº Range Range Allot. Federal Wegetative Adjust & & & Forage Trend Condition No/b Acreage/d Species/f AUMs/i Acreage/j Acreage/k Acreage/l Production/n Acres/o Acres/p 355 . Nonint. 03-01 Cattle DSP. None None Improve U=0 G=l0 ** = - º º ºs º- Thru * * * * * > * > 80A. gº º sº º S=lO F=0 Unall. 80A. 02-28 l AUM l AUM D=0 P=0 NOne None 356 Nonint. 03-01 Cattle DSP. None None Improve U= 0 G=60 ** = - º gº º º Thru tº º cº-º º 71.6A. q = - Lº º S=60 F = 0 5930 71.6A. 02-28 9 AUMs 9 AUMS D=0 P=0 None D 37 357 Nonint. 03-01 Cattle DSP. None None Improve U= 0 G=0 ** = - tº cº- tº- tº Thru tº gº tº gº tº l, 730A. tº º e º 'º S=20 F = 0 Unall. l,730A. 02–28 l AUM l AUM D=0 P= 20 NOne NOne 358 Nonint. 03–0 l Cattle DSP. None None Improve U=0 G=0 ** = - * > * > * > * > Thru cº- tº e º 'º l,0A. tº º – ºs S=l.0 F= 0 Unall. l,0A. 02–28 l AUM l AUM D=0 P= 10 None None B-38 – ROYAL GORGE ENVIRONMENTAL STATEMENT TABLE B-2 PREDICTED VEGETATIVE coverl/ FOR MANAGEMENT UNITS BY ALTERNATIVE Alternative Management Unit New2/ Present No Non- Flim of Mgmt Con- Former Name Number Value Action Intensive Grazing Preferred straint Table Mountain 193 23 23 24 25 28 28 Big Hole 192 27 27 28 29 30 29 Little Hole 191 24 24 25 26 27 26 Bear Creek 223 21 21 21 22 23 22 Wellsville 198 21 20 21 22 22 22 Kerr Gulch 227 19 17 20 21 22 21 Sand Gulch Common 231 22 22 23 24 25 25 Howard Creek 225 22 22 23 24 25 24 Cat Gulch 171 25 25 28 28 30 28 Sixmile 136 18 18 19 20 20 20 Rattlesnake 97 18 18 19 20 21 21 Stoney Face 172 32 32 34 35 37 35 Granite 230 30 30 31 32 33 - 33 Oak Creek 233 39 39 41 42 42 42 Soda Mountain 133 30 30 31 31 32 32 Copper Gulch Common 237 18 17 19 19 19 19 Sunnyside 141 21 21 21 20 22 22 Wright Res. E. 91 22 22 23 24 26 27 Underhill Gulch 133 18 18 19 20 21 20 Fernleaf 168 34 34 36 36 38 36 12 Mile Woods 190 21 21 21 22 23 22 Temple Canyon W. 238 25 25 25 25 26 25 One Creek 170 22 22 24 26 27 27 Calcite 225 20 20 21 22 23 22 Grouse Mountain 99 23 23 24 25 26 25 , Phantom Canyon 138 25 25 26 27 27 27 Grape Creek 243 20 20 20 21 22 21 S. Jack Hall 197 24 24 26 26 28 28 Pole Gulch 229 19 19 19 20 20 20 Geology Camp 143 16 16 16 17 17 17 Eldred 143A 18 18 18 19 19 19 Worley Country 147 17 17 18 19 20 20 Oil Well Flats 147 19 19 20 21 22 22 Reinke Ridge 173 32 32 34 35 37 35 Box Canyon West 224 21 21 21 22 23 22 Cottonwood Ridge 68 23 23 25 26 27 27 Methodist Mountain 222 21 21 21 22 23 22 Thirtyone Mile Mtn 66 23 23 25 26 27 27 Mill Creek 166 34 34 34 36 37 36 Two Creek 169 24 24 26 27 28 27 Felch Creek 146 21 21 21 22 23 22 Maverick Gulch 198 23 22 23 24 24 24 Poney Gulch 97 21 21 22 23 24 24 E. Eightmile 138 25 25 26 27 28 27 Cottonwood Creek 187 21 21 22 23 24 23 Oil Creek Common * 105 21 21 23 24 25 24 Lookout Point 97 19 19 20 21 23 24 Lower Basin 197 24 24 24 25 26 26 Upper Basin 197 25 25 27 27 30 30 Badger Creek ſº 197 26 26 27 28 29 27 Straub Mountain 106 23 23 25 26 27 26 High Park 75 23 23 25 26 27 27 Eight Mile Creek, E. 138A 24 24 24 25 25 25 1/ Percent ground covered by live vegetation. 2/ Where numbers are repeated the units have been combined. APPENDICES – B-39 TABLE B-2 PREDICTED VEGETATIVE COVERI / FOR MANAGEMENT UNITS BY ALTERNATIVE - Alternative Management Unit New2/ Present NO NO n- Elim of Mgmt Con- Former Name Number Value Action Intensive Grazing Preferred straint Holbert Pasture 1 38 26 26 27 28 29 28 Cactus Mountain 190 22 22 20 22 23 22 Twelve Mile Hole 190 24 24 25 26 27 26 Sommerville 190 26 26 27 28 29 28 Spikebuck 190 23 23 24 25 26 25 Beaver Creek 126 22 22 23 24 25 25 Temple Canyon South 238 25 25 25 25 26 25 Box Canyon 133 31 31 31 31 33 33 Cedar Springs Mtn. 196 31 31 32 32 34 32 Twelve Mile Park 188 27 27 27 28 28 28 Phantom Canyon W. 138 24 24 25 26 27 26 Box Canyon 224 22 22 22 23 23 23 Crown Pt. 118 28 28 29 30 31 30 Red Gulch 194 23 23 23 24 25 24 Mud Gulch 195 26 26 27 28 29 28 Jack Hall 193 24 24 25 25 27 27 Reinke Ridge 173 23 23 24 25 26 26 Grand Canyon 238 27 27 27 27 28 27 Red Gulch 194 26 26 27 28 29 28 Twelve Mile Hill 158 21 2 1 22 22 23 23 Gribble Mtn. 158 24 24 24 25 26 26 Waugh Mtn. 167 34 34 36 36 38 26 Miners Gulch 158 22 22 23 24 25 25 Crampton Mtn. 189 23 23 24 25 26 25 Tallahassee Creek 189 22 23 23 24 25 24 Cooper Mtn. 140 19 19 21 21 22 22 Garden Park Ditch 148A 8 7 8 9 9 Q Lower Shaw's Park 148 18 18 18 19 19 19 Six Mile Park 137 20 20 20 21 22 21 Canyon Creek 230 25 25 25 27 28 28 Webster Gulch 156 14 14 15 16 17 16 Nipple Mtn. 139 20 20 21 22 23 23 Race Path 192 22 23 23 24 23 24 Barnard Canyon 95 25 25 26 26 28 28 Garlin Gulch 141 18 18 18 19 19 19 Garden Park Gulch 141 15 15 15 16 16 16 Red Ridge 141 19 19 20 21 22 22 Red Mtn. Chain. 141 21 22 23 23 24 24 Helena Pasture 141 21 20 21 22 22 22 Wilson Creek 149 19 19 21 21 22 22 Twin Mtn. 150 17 17 19 19 20 19 Espanoza Gulch 142 16 16 1 17 17 18 18 W. Beaver Creek 128 22 23 23 24 25 23 Pass Creek 217 15 15 17 18 19 19 Mt. Shavano 216 19 19 20 21 22 22 Midland Hills 204 23 23 23 24 25 25 Playa Lakes 23 19 19 21 22 23 23 Granite-Upper Ark. 12 15 15 17 18 19 19 Rye Slough-West 58 15 15 17 18 19 19 Poncha Park 61 15 15 17 18 19 19 Heckla Junction 199 23 23 23 24 25 25 Browns Canyon 200 24 24 23 24 25 25 Ruby Mountain 202 23 23 23 25 25 25 1/ Percent ground covered by live vegetation. 2/ Where numbers are repeated the units have been combined. B-40 – ROYAL GORGE ENVIRONMENTAL STATEMENT TABLE R– 3 VEGETATION GROUPS, TYPES, SUBTYPES AND MAJOR SPECIFS * - - * -ºm º "º * - . *- := -em, e- - , = -= . . sº--ms º -> *-** * * * * * ****** _ _--—- = -s. --> --> -- * * * - - . - - - - Subtype Major Species B1 the graina Mountain muhly Arizona fescue Sedge-rush meadow 9 rome meadow Pinyon Juniper Gambel oak Mountain mahogany Big sagebrush Saltbush Ponderosa pine Lodgepole pine Douglas-fir Engelmann spruce Quaking a spen Group Type Acres Percent Grassland Grass l, 456, 300 55 Meadow 76,000 3 Shrubland Pinyon- 596,500 23 juniper Mountain 76,600 3 Shrub Sagebrush 58,600 2 Saltbush 4,700 K1 Forestland Conifer 244, 400 9 Broad- 50,500 2 leaf Narrowleaf cottonwood Plains c Ottonwood Blue grana, sand dropseed, red threeawn, fringed Sage . Mountain muhly, Indian ricegrass, rubberweed , junegrass Arizona fescue, junegrass, mountain brone, prairie oatgrass Sedge (Carex spp.), rush (Juncus spp.), saltgrass Brome (Bromus spp.), bluegrass (Poa spp.), hairgrass, shrubby cinquefoil Pinyon, Rocky Mountain juniper, Indian ricegrass, needle-and-thread Utah juniper, blue grama, rabbitbrush (Chrysothamnus spp.) Gambel oak, bluegrass (Poa spp.), sedge (Carex spp.), currant (Ribes spp.) Mountain mahogany, western snowberry, blue grama, mountain muhly Big sagebrush, junegrass, Arizona fescue Fourwing saltbush, shadscale, Gardner saltbush, alkali Saca to In Ponderosa pine, blue grama, mountain muhly Lodgepole pine, bearberry, common juniper Douglas-fir, Rocky Mountain juniper, Gambel oak Engelmann spruce, white fir, bear berry, common juniper Quaking aspen, bluegrass (Poa spp.), junegrass, mountain brome Narrowleaf cottonwood, Rocky Mountain juniper, thin leaf alder, willow (Salix spp.), sedge (Carex spp.) Plains cottonwood, sedge (Carex spp.), brome (Bromus spp.), Rocky Mountain maple TABLE B-4 IMPLEMENTATION SUMMARY OF UNITS PROPOSED FOR INTENSIVE RANGE MANAGEMENT Management AMP AMP Acres of Live stock Unit No. Development Implementation Public Land Forage (AUMs) 12 1981 1982 3, 274 122 23 1981 1985 l,640 98 58 1981 1981 1, 240 64 61 1981 1981 9,728 395 66 1981 1983 3,338 134 68 1981 1982 2,512 69 75 1981 1983 2,792 196 91 1981 1992 4.32 15 95 1981 1982 1,013 43 96 1981 1981 1 4 3 10 97 1981 1985 5, 326 l 90 98 1981 1982 640 23 99 1981 1983 5, 305 196 100 1981 1985 2,268 4 3 105 1981 1982 2,268 34 117 1981 1985 1,538 32 1 18 1981 1981 2,682 52 126 1981 1984 6,676 69 127 1981 1985 5,755 38 128 1981 1984 3, 372 4 133 1981 1984 3,229 52 1 34 1981 1981 240 6 136 1981 1982 1,422 1 I 137 1981 1984 1,587 1 1 1 38 1981 1982 15,635 309 1 39 1981 1982 337 29 1 40 1981 1981 5, 188 60 141 1981 1985 6, 272 1 4.5 142 1981 1983 3,727 40 1 4 3 1981 1984 697 13 146 1981 1981 1,072 1() 147 1981 1984 6,580 99 148 1981 1981 1,009 3 149 1981 1985 7, 313 242 150 1981 1983 2,476 50 155 1981 1984 2,978 29 1.56 1981 1984 1,401 19 158 1981 1984 3, 548 51 APPENDICES – B-41 B-42 – ROYAL GORGE ENVIRONMENTAL STATEMENT TABLF B-4 IMPLEMENTATION SUMMARY OF UNITS PROPOSED FOR INTENSIVE RANGE MANAGEMENT Management AMP AMP Acres of Livestock Unit No. Development Implementation Public Land Forage (AUMs) 1.65 1981 1982 1,584 44 166 1981 1982 2,083 70 167 1981 1982 957 32 168 1981 1982 1,031 86 1 69 1981 1982 2,501 75 170 1981 1985 1,310 72 171 1981 1981 253 6 172 1981 1985 827 58 173 1981 1985 919 26 177 1981 1981 630 3 187 1981 1983 5,223 140 189 1981 1982 2,861 19 190 1981 1983 5,969 52 191 1981 1984 6,687 210 192 1981 1984 26,652 57.1 193 1981 1983 15,248 527 193A 1981 1981 195 4 194 1981 1981 2,462 37 1 95 1981 1982 685 13 1 96 1981 1982 278 2 197 1981 1983 38, 116 700 1 98 1981 1984 8,460 85 199 1981 1981 9,838 50 200 1981 1981 1, 150 7 202 1981 1981 5,250 19 204 1981 1983 6,415 29 213 1981 1982 651 33 216 1981 1983 5,274 72 217 1981 1983 3,286 57 222 1981 1983 . 2,470 13 224 1981 1985 5,211 32 225 1981 1984 925 18 227 1981 1983 5,964 123 230 1981 1985 3,579 123 231 1981 1984 4,775 93 233 1981 1982 1,084 142 237 1981 1982 52,229 204 238 1981 1984 6,027 42 243 1981 1983 14,579 1 16 TABLE B-5 LONG-TERM LOSS OF VEGETATION DUE TO CONSTRUCTION OF WARIOUS RANGE IMPROVEMENT PROJECTS Disturbance Total Disturbance Project Units Per Unit Short-term Long-term Plow and Seed 200A Ol/ Burn 4,900 A Ol/ Th in 17,630 A Ol/ Fence2/ 80 Mi .5 - 1A 40 – 80A 8 – 1 6A Pipeline 3. 3 Mi • 2 - 1.5A . 66 - 4.95A .22 - 1.65A Tanks 1 Ea . 1 - 1A - 1 - 1A . 1 - 1A Earthen Reservoirs 11 Ea . 5 – 3 5. 5 – 33A 4.4 – 26.4A Water Troughs 4 Ea . 1 - .. 2 . 4 - . 8A .4 - . 8A Spring Developments?/ 67 Ea - 1 - .. 5 6. 7 – 33.5A 2. 35 11. 75 Catchments 39 Ea 1 – 3 39 – 117A 3 1. 2 – 93. 6 Wells 2 Ea . 2 - .. 5 . 4 - 1A . 12 - .. 3 TOTAL 92.75 – 271. 25A 46. 8 – 15 1. 5A 1/ The vegetation disturbance on treated acres will be stabilized in the short term (5 years) through seeding, where necessary. 2/ If an additional 71 miles of fence and 100 water developments were constructed as part of AMP development, there would be an additional 4.7 acres of vegetation lost in the long term. GUIDE FOR RATING RANGE CONDITION Excellent Good Fair POO r VEGETATION More than 75 percent 50 to 75 percent of the 25 to 50 percent of the Less than 25 percent (Native) of the total vegeta- total vegetation is com- vegetation is composed of the vegetation is tion is composed of posed of the potential of the potential nat- composed of the poten- the potential natural natural vegetation. An ural vegetation. Mod- tial natural vegetation. vegetation. An evenly evenly distributed mix- erate variations of Poor variation exists distributed mixture of ture of grasses, forbs, grasses, forbs, and among grasses, forbs, grasses, forbs, and and shrubs are present. shrubs exist. Some and shrubs with an over- shrubs are present. Major native forage major native forage abundance of undesirable Major native forage grasses occur on open grasses occur in open vegetation. Major na- grasses occur on open unprotected areas. Un- unprotected areas. tive forage species are unprotected areas. desirable vegetation is Limited amounts of generally protected by Undesirable vegeta- nearly absent. undesirable vegeta- shrubs or rocks. tion is absent. tion are present. (Seeded) More than 75 percent 50 to 75 percent of the 25 to 50 percent of the Less than 25 percent of of the total vegeta- tion is composed of seeded species. If shrubs are present, the seeded species occur mainly in open spaces between shrubs. Undesirable vegeta- tion is absent. total vegetation is com- posed of the seeded species. If shrubs are present, the seeded spe- cies occur mainly in open spaces between shrubs. Undesirable vegetation is absent. vegetation is composed of the seeded species. If shrubs are present, some seeded species oc- cur in open unprotected areas. Limited amounts of undesirable vegeta- tion are absent. the vegetation is com- posed of the seeded spe- cies. Seeded species are generally protected by shrubs or rocks. There is an over-abundance of undesirable vegetation. APPENDICES – B-43 B-44 – ROYAL GORGE ENVIRONMENTAL STATEMENT TABLE B-7 GUIDE FOR RATING APPARENT RANGE TREND Considering the potential for this site, class of live stock, season of use, recreational use, fire, and other influences, rate the following by giving each item a rating of 4 to 0. Interpolate between indicators for ratings 3, 2, and 1. Apparent Trend Indicators REPRODUCTION: Major species of the potential plant community are producing seedlings, plants are of mixed ages; there is evidence of active tillers, rhizomes, stolons. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . (4) Major species not reproducing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . (0) PLANTS RESIDUE AND CURRENT UTILIZATION: Litter produced by major species is abundant for the site and Current utilization is moderate . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . (4) Litter is absent and utilization is severe. . . . . . . . . . . . . . . . . . . . . . . (0) COMPOSITION CHANGES : Dominant species of the potential plant community are maintaining their place in the stand. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . (4) Dominant species are absent or noticeably decreasing in percentage, while minor species and species not native to the community a Te increasing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . (0) PLANT WIGOR: Major species of the potential plant community are strong, healthy, productive, and well rooted. . . . . . . . . . . . . . . . . . . . . . . . . . . . . (4) Major species are showing noticeable die-off. . . . . . . . . . . . . . . . . . . . . (0) SOIL SURFACE FACTORS: Accelerated soil erosion is not evident. Past erosion signs have healed. Water intake for the kind of soil is favorable. . . . . . . . . . (4) Accelerated erosion is obvious. Soil stability is poor as seen by failure of erosion signs to be healing. Water intake for the kind Of soil is unfavorable . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . (O) Ratings between 0 and 7 inclusive = Improving Trend Ratings between 8 and 13 inclusive = Static Trend Ratings between 14 and 20 inclusive = Declining Trend APPENDIX C Soll Associations Table C-1 describes the soil associations found in the EIS area. Location of the soils is shown on Map 3-2. Information was supplied by the Soil Conservation Service. The following are concepts that appear in the summary table on soil characteristics. 1. Waterholding Capacity This is the ability of a soil to store water for plant growth. It indicates the amount of water that the soil will hold between full capacity and wilting points. The Classes are as follows: High: 9 to 12 inches of water would be available for plant growth. Moderately high: 6 to 9 inches of water would be available for plant growth. Low to moderately low: 3 to 6 inches of water would be available for plant growth. 2. Permeability This is the quality of the soil which enables it to transmit water or air. Soil permeability can be quantified in terms of a rate of flow of water through a Cross section of saturated soil in a given time. Permeability rates are expressed in inches per hour. The classes are as follows: Slow: .06 to .20 inch per hour Moderately slow: .20 to .60 inch per hour Moderate: .60 to 2.00 inches per hour Moderately rapid: 2.00 to 6.00 inches per hour Rapid: 6.00 to 20.00 inches per hour 3. Surface Runoff This refers to the relative rate water flows over the surface of the soil. The classes are defined as follows: Slow: Surface water flows away so slowly that free water covers the soil for a significant period or enters the soil rapidly. Moderate: Surface water flows away at such a rate that a moderate portion of the water enters the soil and free water lies on the surface for only a short period of time. Rapid: A large portion of the precipitation moves rapidly over the surface of the soil and a small part moves through the soil. 4. Erosion Susceptibility This is a rating based on expected losses of surface soil when all vegetation cover including litter is removed. The classes are as follows: Slight: Little loss of soil material is expected. Minor sheet or rill erosion will OCCur. Moderate: Some loss of Surface Soil material can be expected. Rills, small gullies, and sheet erosion may OCCUſ. Severe: Considerable loss of surface soil material can be expected. Rills, small gullies, and sheet erosion may OCCUſ. TABLE C-1 APPENDICES – C-1 5. Soil Hydrologic Groupings The soil associations have been placed into four hydrologic groups that indicate the general infiltration and water movement ability of the soils and the bedrock. The four groups are defined as follows: Group A: Soils having high infiltration rates even when thoroughly wetted, consisting chiefly of deep, well- to excessively-drained sand and/or gravel. These soils have a high rate of water transmission and would result in a low runoff potential. Group B: Soils having moderate infiltration rates when thoroughly wetted, consisting chiefly of moderately deep to deep, moderately well- to well-drained soils with moderately fine to moderately coarse textures. These Soils have a moderate rate of water transmission. Group C; Soils having slow infiltration rates when thoroughly wetted, consisting chiefly of (1) soils with a layer that impedes the downward movement of water or (2) soils with a moderately fine to fine texture and a Slow infiltration rate. These soils have a slow rate Of water transmission. 6. Drainage Class Very poorly drained: The water table remains at or near the surface a greater part of the time. Poorly drained: Water is removed so slowly that the soil remains wet for a large part of the time. Water table is commonly at or near the surface. Somewhat poorly drained: Soil is wet for significant periods, but not all of the time, usually because of a slowly permeable layer or a high water table. Moderately well drained: Water is removed from the soil somewhat slowly so that the soil is wet for a small but significant part of the time. Somewhat excessively drained: Water is moved from these soils rapidly. SUMMARY OF SOIL CHARACTERISTICS Soi TAssociation TFosition. On Effective Water Erosion Hydrologic Number, Name Landscape & Parent Taxonomy Depth Soil Root Depth Holding Perme- Surface Suscepti- Soil Soil and Components Slope Ranges Material Texture Class (Inches) Reaction (Inches) Capacity ability Runoff bility Group Drainage 3. Traves silla Uplands Sandstone Loamy Lithic 2O Moderately 14–20 Low Moderate Rapid Severe D Well Rock outcrop 5 - 55% Ustic Alkaline Torrior- thents 7. Las Bottomland Stratified Clayloam Aquic 30–40 Moderately 60+ High Moderate Medium Moderate C Poorly & Low Terraces Alluvium Usti fluvents Alkaline to Rapid O - 3% Glenberg Walleys Alluvium Sandy Ustic 20-40 Moderately 60+ Moderate Mod. Slow Moderate B Well O - 3% Loam Torrifluvents Alkaline Rapid Apishapa Bottomland & Saline Clay Loam Wertic 6O Moderately 60+ High Slow Slow Slight C Poorly Low Terraces Alluvium Fluvaquents Alkaline O - 3% 8. Manvel Uplands Calcareous Silt Ustic 60+ Strongly 40–60 High Moderate Medium High B Well l – 9% Alluvium Loam TOrrior- Alkaline thents Minnequa Uplands Calcareous Silt Ustic 20-40 Strongly 20-40 Moderate Moderate Med: to High B Well l - 9% Alluvium Loam TOrrior- Alkaline Rapid Thents g tº L tº ſº gº & Rapid High D Well Penrose Sideslopes Limestone oamy Lithic 10–20 Moderately 10–20 very Low Mod. ap & Ridgetops & Shale Ustic alkaline Rapid 2 – 15% Torrior- thents e * t B Well 9. Baca Uplands Calcareous Loam ustollic 6O+ Moderately 60 High Mod. Medium Moderate 2 - 5% Loess to Clay Haplargids Alkaline Slow Loam e e g igh B Well Wil Uplands Calcareous Silt Ustollic 6O+ Moderately 60 High Moderate Medium Hig ey 3 - 5% Loess Loam Haplargids Alkaline C-2 – ROYAL GORGE ENVIRONMENTAL STATEMENT APPENDICES – C-3 TABLE C-l SUMMARY OF SOIL CHARACTERISTICS Sºº- TABLE C-l Soil Association TFosition. On Effective W g ater Erosion Hydrologic SUMMARY OF SOIL CHARACTERISTICS :*::: Name Landscape & Parent Taxonomy Depth Soil. Roºt Depth Holding Perme- Surface Suscepti- soil soil Soil Association Position On Effective Water Erosion Hydrologic Onents Slope Ranges Material Texture Class (Inches) eaction (Inches) Capacity ability Runoff bility Group Drainage e tº tº e ti- Soil Soil Number, Name Landscape & Parent Taxonomy Depth Soil Roºt Depth Holding Perme- surface suscep e Neville Foothills Alluvium Sand Torrior- 40+ Moderatel O-6O º and Components Slope Ranges Material Texture Class (Inches) Reaction (Inches) Capacity ability Runoff bility Group Drainage and l Ulv : thents Alkaline y 4 Low Moderate Medium Moderate B Well º T Campo Uplands Calcareous Clay Us tollic 6O+ Moderately 60 High Slow Slow Moderate C Well *:::::: O - 3% Loess Loam & Paleargids Alkaline Silty 54. Wiley See Assoc. 9 Clay Loam Kim Foot Slopes Calcareous Loam Torrior- 40+ Moderately 40-60 High Moderate Medium Severe B Well * e & F © t to Cla th Alkali 10. Stoneham Uplands Alluvium Loam Us tollic 20–48 Moderately 6O Medium Moderate Medium Moderate B Well O º: :::::::::. Loam y ents 8 l l Iſle 3 - 9% to Clay Haplargids Alkaline stone & Loam Shale Wona Ridges Calcareous Sandy Ustollic 6O+ :* 6O Low Rapid Slow Moderate A-B Well 35. *aleboralfs- Mountain Crystal- Sandy Boralf's 20-60 Slightly 20-60 Medium Moderate Medium Moderate C Well 2 - 9% Loess Loam Haplargids 8. Ll Cryoboralfs- Slopes line & to Clay Acid to to Rapid to Sand Rock outcrop 15 - 20% Sediment- Neutral Harvey Uplands Calcareous Loam US tollic 60+ Moderately 60 Medium Moderate Medium Moderate B Well ary rocks 2 - 5% Alluvium Calciorthids Alkaline 56. Bond Upland Sandstone Sandy Lithic 2O Midly 10-20 Low Moderate- Rapid Moderate D Well Hilltops & Shale Loam to Ustollic Alkaline ly Slow 18. Haplaquolls Flood Alluvium Loam Haplaquolls 60+ Neutral 20-40 High Moderate Medium Moderate B Some 2 - 15% * Haplargids Plains what Loam O – 2% Poorly Bresser Sideslope Sandstone Sand Aridic 6O+ Mildl 6O High e Haplus tolls Low Alluvium Loam Haplus tolls 60+ Neutral 40-60 High Moderate Medium Moderate B Well & :::::::" & Shale iºts Arguistolls iºns & Moderate Medium Moderate B Well Terraces l – 8% Sandy & Flood Clay Plains Loam O - 3% T - e olman Mtn. Side- Sandst Sand Lithic 2O Neutral 10-20 Lw tº-e Fluvents Flood Alluvium Sandy Fluvents 6O+ Neutral 10-60 Low Rapid Slow High A-B Poorly º * and St. One i. Arciborolls *::::: Rapid Severe D Well Plains Loam ridges O - 2% to Sand 25 - 80% 19. Nunn Terraces Alluvium Clay Aridic 60. Moderately 60 High *:::::- Medium Moderate B Well Denver Sloping Up- Rediduum Clay Argius tolls 40–60 Neutral to 6O High Slow Moderate- Moderate C Well O - 2% Loam Argius tolls Alkaline y OW lands & & Collu- Loam to Moderately ly Rapid Foot Slopes vi f Cl Alkaline Havers On Flood Alluvium Loamy Torri- 60+ Moderately 6O Low Moderate- Medium Moderate B Well 5 - 15% p i. rom ay Plains to fluvents Arlkaline ly Rapid O - 2% Sandy Louviers Steep Side- Shale Sandy Ustic 2O Neutral 1O-2O Low Slow Rapid Severe D Well Loam slopes in Loam Torrior- Foothills thents - 25% 20. As calon Walley Alluvium Loam Argius tolls 60+ Mildly 6O High Moderate Medium Slight B Well 3 Floor to Clay Alkaline Travessilla Sideslopes Sandstone Sandy Lithic 2O Mildly 10-20 Low Slow Rapid Severe D Well 2 - 5% Loam 3 - 25% Loam Ustic Alkaline g Torrior thents Platner Walley Alluvium Loam Argius tolls 60+ Mildly 6O High Moderate Medium Slight B Well 3 Floor to Clay Alkaline * Bond-Bresser See Assoc. 56. 2 - 5% Loam Rombo Mtn. Side Colluvium Cobbly Ustochrepts 20-40 Neutral 20-40 High Slow Rapid S © tº- © Stoneham Uplands Alluvium Loam Us tollic 20–48 Moderately 6O Medium Moderate Medium Moderate B Well slopes from Shale Clay to Mildly p Were D Well 2 – 9% to Clay Haplargids Alkaline 20 - 50% & Silt Alkaline Loam Stone tº * tº- 3 21. Wona Ridges Calcareous Sandy us tollic 60+ Moderately 6O Low Rapid Slow Moderate A-B Well 8. Fughes Footslopes Colluvium Sandy Argiborolls 60+ Neutral to 60 High Slow Medium Moderate C Well 2 - 9% Loess Loam Haplargids Alkaline & Benches Shale & Clay Mildly to Sand 3 - 15% Sandstone Loam to Alkaline e º Clay Olney Uplands Calcareous Sandy Us tollic 6O+ Moderately 6O Medium Moderate- Slow to Moderate B Well Holderness Footslopes Colluvium Sandy Argiborolls 60+ Neutral to 60 High Slow Medium Moderate C Well 2 - 5% Matls. from Loam Haplargids Alkaline to High ly Rapid Medium & Benches Shale & Clay Mildly Sandstone & to 4 - 20% Sandstone Loam to alkaline Aoelin Mat. Sandy t Clay clay Loam Rombo See Assoc. 57 Dwyer Sandhills Loess Sandy Torri- 60+ Mildly 6O Low Rapid Slow Low A Well 59. "olderness See Assoc. 58 2 - 15% Psamment Alkaline Tolman © 23. Nunn Terraces Alluvium Clay Aridic 60+ Moderately 60 High Moderate- Medium Moderate B Well See Assoc. 56 Loam Argius tolls Alkaline ly Slow Ring Slopes—Terraces Alluvium Sandy Mollic 60+ Neutral 6O High Moderate Moderate- Moderate– C Well * 2O - on old Loam Futro- Ft Collins 0 - 2% Calcareous Loam Ustollic 60+ Moderately 60 Medium Moderate- Moderate- Moderate- B Well 2 - 4” outwash to Cobbly ºr. ly Rapid ly Severe Alluvium to Clay Haplargids Alkaline ly Rapid ly Slow ly Rapid Clay Uplands & Loam 40 Terraces * Ring See Assoc. 59 0 - 9% Waner Hilltops & Sideslopes Clayey Lithic 2O Mildly 10–50 High Moderate- Moderate- Moderate- C Well tº e Eutro- Alkaline ly Slow ly Rapid ly Severe 24. Olney- Uplands Sandstone Sandy Ustollic 20-60 Moderately 10-20 High Moderate Rapid Moderate C Well 2 - 15% boralfs y y Rapid ly Progresso 3 - 15% Loam to Haplargids Alkaline to Severe 43 Sandy "ouviers- See Assoc. 56 Clay Loam **avessilla °omplex Louviers- 3 - 25% -- See Assoc. 36 4. T Traves silla *riorthents Uplands, Low Sandstone Sandy * - 20-40 Moderate- 2O Low Moderate Moderate- Severe B-C Well Hills & Colluvial& Shale Loam to ly Alkaline to Rapid Louviers- 25 - 85% -- See Assoc. 36 Slopes Loam • Traves silla * 5 - 9% Rock Outcrop 31. Rednun Terraces Alluvium Clay Aridic 6O+ Moderately 60 High Moderate- Medium Moderate B Well O - 2% Loam Argius tolls Alkaline ly Slow APPENDICES — C-4 – ROYAL GORGE ENVIRONMENTAL STATE MENT S – C-5 TABLE C-l TABLE C-l SUMMARY OF SOIL CHARACTERISTICS SUMMARY OF SOIL CHARACTERISTICS SRF-- gº * e —” : Association TFosition. On gº Effective Water Erosion Hydrologic Soil Association Position On Effective Water Erosion Hydrologic e and *F, Name Landscape & Parent Taxonomy Depth Soil Root Depth Holding Perme- Surface Suscepti- Soil Soil Number, Name Landscape & Parent Taxonomy Depth Soil Root Depth Holding Perme- surface suscepti- soil soil Somponents Slope Ranges Material Texture Class (Inches) Reaction (Inches) capacity ability Runoff bility Group Drainage and Components Slope Ranges Material Texture Class Inches) Reaction (Inches) Capacity ability Runoff bility Group Drainagº *troboroalf Mtn. Slopes Ile Iº e Sandy gº 2O Neutral lO-2O Ile Iº e Ile Iº e Ile Iº e Moderate C Well Penrose See Assoc. 46 Rock outcrop 15 - 50% § ay 45. Otero Uplands Calcareous Sandy Torrior- 6O+ Moderate- 1O Moderate Moderate- Slow Moderate B Well Loam 2 - 15% Sandy Loam thents ly Alkaline ly Rapid to Severe 56 Material º *siborolls Parks, Alluvium Loam tº 6O+ Neutral to 6O High Moderate Moderate- Slight B Mod. Walleys & Mildly ly Slow Well- Canyon Upland Shale Clay Torrior- 15 Moderate- 15 High Slow to Rapid Severe D Well Meadows Alkaline Poorly Breaks Loam thents ly Alkaline Moderate O – 5% 15 - 30% *Plaquolls Low Terraces Alluvium Loamy to tº º 60+ Slightly 2O Moderate Moderate Slow Slight A-B Mod. & Floodplains Sandy Loam Acid to Well 46. Penrose- Low Hills, Limestone Loamy Lithic 2O Moderate- lO-20 Low Moderate- Rapid Severe D Well O - 2% Moderately Poorly Rock outcrop Upland Ustic ly Alkaline ly Rapid Alkaline Breaks & Torrior- Colluvial thents Slopes *Ploborolls Drainways Alluvium Sandy º 6O Neutral 20-60 Moderate Moderate Moderate slight B Mod. 2 - 30% 2 - 18% Loam Well 47. Gaynor Uplands Shale Silty Torrior- 20-40 Strongly 2O High Moderate- Rapid . Severe C Well 58. °urecanti Low Coarse Loamy, Aridic 6O Neutral 6O Medium Moderate Medium Slight B Terraces Alluvium Skeletal Argi– 3 - 9% Clay thents Alkaline ly Slow & Fans borolls 2 - 8% Samsil Footslopes Shale Silty Typic Us- 10–60 Strongly IO Low Slow Rapid Severe D Well 59 of Upland Clay torthents 'Alkaline "ouviers Hill Ridges Shale Clay Shallow l6-20 Neutral IO High Slow Rapid Severe D Well Hills Loam to & Sideslopes Loam Ustic 3 - 15% Silty 10-40% torrior- Clay Pri thents r e tº g tº Limon Terraces Shale Silty Torrior- 4O+ Strongly 4-10 High Slow Rapid Moderate C Well eta *:::::::::. iºn- Clayey ::iii. 16 Neutral 10-16 High Slow Rapid Severe D Well & Flood Clay thents Alkaline to Severe 5 - 35% p Haplar- Plains Loam to gids O - 3% Silty Clay Ft Collins Drainways Sandstone Loam Ustollic 40-60 Neutral 40-60 High Moderate- Rapid High C Well 48. Farista Side Sandstone Gravel- Torrior- 24 Moderate- 10-20 Low Moderate- Rapid Severe C Well : *::: & Shale is, º: ly Slow slopes ly thents ly Alkaline ly Rapid Loam 15 - 60% Sandy Loam Dargol Mtn. Side- Sandstone Stony Eutro- 20-40 Slightly 2O High Slow Rapid Severe C Well Oleny- Uplands Sandstone Sandy Ustollic 20-60 Moderate- 10-20 High Moderate Rapid Moderate- C Well :*::, & Shale ºis, boralf's :::::: Progresso 3 - 15% Loam to Haplargids ly Alkaline to Severe : Loam Sandy * Clay Fuera Footslopes Colluvium Sandy Loam Eutro- 20-40 Slightly 2O High Slow Rapid Severe C Well Loam 10 - 45% to Clay boralf's Acid to - Loam Neutral 49. Cryoboralf High Mtn. Crystal- Sandy Cryo- 10–60 Medium 1O-40 Medium Moderate n. r. Ile Iº e B-C Well & Rock outcrop slopes Line Rock to boralfs Acid to to Rapid Wamer See Assoc. 40 2 - 30% Clayey Neutral 60 ºnd-Bresser see Assoc. 36 50. Argiborolls See Assoc. 55 °omplex Haploborolls Terraces, Colluvial Clay tº-e 6O Mildly 6O High Moderate Slow Moderate B Well Bresser See Assoc 36. Fans, Sediments Loam Alkaline Narrow 9lney- See Assoc 48 Walley & - Floodplains **ogresso 2 - 5 % 9mplex Eutroboralfs Mtn. Slopes, Sandstone Sandy tº e 20-40 Neutral 2O Moderate- Moderate Moderate- Moderate Well 6l. *resser & See Assoc. 56 Ridgetops & & Shale Loam to ly High to Slow ly Rapid Bond - Foothills Clay 20 - 50% Loam Moden See Assoc. 54 5l. Cyroborolls Mtn. Slopes n. r. Loamy Cyro- 40–60 Med. Acid 20-60 High Slow to Ile I’e Moderate B-C Well Bouviers & See Assoc 36 & Fans Skeletal borolls to Neutral Moderate *aves.silla 5 - 30% Bo hd - Rock See Assoc. 156 52. Argiborolls Mtn. Slopes n. r. Loamy Argiborolls 20–60 Med. Acid 20-60 High Slow to Ile Iº e Moderate B-C Well °utcrop & Fans to Clay to Neutral Moderate 62. T Loam **iorthents Hills, Side- Calcareous Sandy * > 20-60 Moderate- 10 - 40 Moderate Moderate Severe B-C Well slopes & Colluvium Loam ly Alkaline Haploborolls Mtn. Slopes n. r. Loamy Haplo- 20-60 Med. Acid 20-60 Medium Moderate n, r. Moderate B Well Draws & Alluvium & Fans borolls to Neutral 5 - 30% 5 - 30% 63. Tº °utville Mountain Glacial Gravelly Cryoboralfs lo–50 Slightly 6O+ Low Moderate- Medium Moderate B Well 55. Argiborolls Footslopes, Igneous, Loam to Aridic 20-60 Mildly 20-60 Moderate- Moderate Ile I’e Moderate B Well Slopes Till Sandy Acid ly Rapid Mesas & Fans Sandstone Clay Loam Argiborolls : Alkaline ly High 3 - 35% Loam 2 - 30% & Shale L *adville Mountain Glacial Sandy *_º 1O-3O Medium 6O+ Moderate Moderate– Medium Moderate B Well 54. Willowman Terraces Aluvium Sandy Aridic 6O+ Mildly 45 Low Rapid Slow Slight B Well Slopes outwash Loam Acid ly Slow 3 – 8% & Out- Loam to Argius tolls alkaline 3 – 35% wash Cobbly 64. R Sandy Ock Outcrop Mountain tºº tº tº {- sºme E- {--> G-: Very Slight tº * * Slopes & Rapid Noden Uplands & Mixed Loam Aridic 60+ Neutral to 40-60 High Moderate Medium Low B Well Cliffs Walley Size– Sediments to Argius tolls Mildly 65. St slopes Clay Alkaline * Elmo High Terraces Glacial Gravelly Calciborolls 20–40 Moderate- 60+ Low Very Slow Slight A Well 1 - 9% Loam Generally Outwash Sandy ly Alkaline Rapid (Increases - . { } b Loam & 55. Haploborolls Mtn. Slopes n. r. Loam tº-> 2O-4O Neutral 6O Moderate Moderate n > r, Moderate B Well º with slope) 15 - 25% to 45% C-6 — ROYAL GORGE ENVIRONMENTAL STATE MENT TABLE C-l SUMMARY OF SOIL CHARACTERISTICS. —º Soil Association Position On & Effective Water Erosion Hydrologic Number, Name Landscape & Parent Taxonomy Depth Soil Root Depth Holding Perme- Surface Suscepti- Soil Soil and Components Slope Ranges Material Texture Class (Inches) Reaction (Inches) Capacity ability Runoff bility Group Drainagº Manhattan High Alluvium Sandy Typic 2O-4O Moderate- 60+ Low Moderate- Slow Slight A Well Terraces Loam Calciborolls ly Alkaline ly Rapid (Increases l - 9% with Slope) 66. Dominson Terraces & Glacial Gravelly Haploborolls 8-16 Neutral 6O+ Low Very Rapid Medium Moderate B+ Some- Terrace Outwash Sandy Loam (Increases what Edges l–9% with slope) Excess' & 9-45% ive San Isabel Walley Eolian Loamy Torripsam- 10–20 Neutral 60+ Low Rapid Slow Moderate A Well Slopes & Low Sands Sands ments (High wind Terraces erosion) 3 - 9% 67. Cotopaxi Walley Slopes Eolian Loamy Torripsam- 10–20 Neutral 6O+ Low Rapid Slow Moderate A Well & Low Sands (High Wind Terraces Erosion 3 - 9% Ouray High Terraces Alluvium Sandy Haploborolls 20–40 Neutral 6O+ Low Moderate- Slow Moderate B Well l – 5% Loam ly Slow 68. Pierian High Terraces Glacial Gravelly Cryoborolls 8-16 Slightly 6O+ Low Very Slow slight A Well 3 -45% Outwash Sandy Loam Acid (Increases with Slope) Poncha Alluvial Alluvium Gravelly tº-e lº–24 Neutral 6O+ Low Moderate- Slow Slight B Well Fans & Sandy ly Rapid High Loam Terraces 69. Rough Mountain Sediments Wariable Ile I’e Varies n. r. Waries Waries Waries Rapid Moderate D Ile I'e Broken Land Slopes to Severe 5 - 50% Badland Mountain Sediments Variable Ile Iº e Waries n. r. Waries Waries Waries Rapid Severe D Ile Iº e Slopes 10-50% 7O. Gas Creek Low Terraces Alluvium Gravelly Haplaquolls 10–18 Neutral 60+ Low Rapid Slow Slight B Poorly 1 - 3% Sandy Loam Wet Alluvial Alluvium Gravels, Ile Iº e Ile I’e Iſle Iº e Ile Iº e Ile Iº e Iſle Iº e Ile Iº e Ile Iº e n.r. Poorly Alluvial Bottoms Sands, & O - 3% Loams { 76. Newfork Low Terraces Alluvium Gravelly Cryaquolls 10–18 Neutral 6O+ Low Rapid Slow Slight B Poorly l - 3% Sandy * Loam Marsh Walley Alluvium Medium Cryaquolls Varies Neutral Waries Water Table at or Near the Surface tº º Poorly Bottoms Rosane Upland Alluvium Loam Cryaquolls n. r. Neutral 6O+ Low Moderate- Slow no re B Poorly Swales ly Rapid 78. Renohill Uplands Sandstone Sandy Ustollic 20-60 Mildly 15 High Moderate Moderate- Slight 'B Well 3 - 5% & Shale Loam to Haplar- Alkaline ly Rapid Clay gids Loam Stoneham See Assoc. 10 82. Fluvents Flood Alluvium Sandy Fluvents 6O+ Ile Iº e 20-60 Low Rapid Slow Slight B Well Plains & to Silty Low Terraces Clay O - 3% Loam Haplaquolls Floor Alluvium Silty Hapla- 6O+ Ile I’e 20-60 Low Rapid Slow Slight B Well Plains & Clay quolls Low Terraces Loam O - 3% 87. Weld Uplands Shale Silty Paleu- 60+ Moderate- 6O High Moderate- Slow Slight B Well O - 3% Clay stolls ly Alkaline ly Slow Loam Baca & Wiley See Assoc. 9 92. Woden See Assoc. 54 Bresser 3 - 9% Slopes. See Assoc. 36 Bresser Footslopes Sandstone Sandy aridic 6O+ Neutral 6O Moderate- Moderate Rapid Moderate- D Well 9 - 25% & Shale Loam Argiu- ly High ly Severe to Clay Stolls Loam TABLE C-l SUMMARY OF SOIL CHARACTERISTICS APPENDICES – C-7 Soil-T- l Association TFosition. On Ž Numb gº Effective Water Erosion Hydrologic &nd er, Name Landscape & Parent Taxonomy Depth Soil Root Depth Holding Perme- Surface Suscepti- Soil Soil §§§ Components Slope Ranges Material Texture Class (Inches) Reaction (Inches) capacity ability Runoff bility Group Drainage 93. Haplargids Mesas & Sandstone Sandy tºº 60+ Moderate- Ile I’s High Moderate- Moderate Moderate B Well & Camborthids Terraces & Shale Loam ly Alkaline 2 - 15% to Clay Loam 97. Cryoborolls See Assoc. 5l Haploborolls See Assoc. 52 Cryorthents Benches & Granite Sandy tº º 20-40 Neutral 2O Low Rapid Moderate- Severe C Well Mtn. Slopes Loam ly Rapid - 15 - 50% gº 98. Cryoboralfs Mtn. Slopes Sandstone º 20-60 Slightly 2O High Moderate Moderate- n. r. C Well 15 - 50% & Shale acid to Low ly Rapid loo. Ustic Uplands next Sediments Sandy • * > 6O+ Moderate- 6O Moderate- Moderate- Moderate Moderate B Well Torriorthents to Foothills from shale Loam ly Alkaline ly High ly High l - 9% & Sandstone ll6. Similar to Assoc. 52 llg. Cryaquolls Flood Alluvium Loamy Q_º 60+ Med. Acid 10-50 Moderate- Moderate- Medium Slight B Some- Plains ly High ly Slow what O – 5% Poorly l2O. Cryoborolls Mountain Ile I’e Loamy tº- 20-40 Med. Acid 4O+ High Moderate Iſle Iº e Moderate B Well Slopes & Skeletal to Neutral Fans 5 - 30% Ariborolls Mountain n.r. Loam to tº 20-40 Med. Acid 20-60 High Slow to Ile Iº e Moderate B-C Well Slopes & Clay Loam to Neutral Moderate Fans 5 – 30% l28. Cryaquepts Bottomland Ile Iſ e Ile Iº e gº n. r. h. r. 4O+ Seasonal Water Table at or Near Surface n. r. Very O - 30% Poorly Cryaquolls Bottomland Tl e Te Tl e Te Gº- The C e Tl e Te 40+ As Above, But Slightly Better Drained Tl e Te Verv * = cy & O 3% Poorly 133. Sanchez- Mtn. Slopes Sandstone Loamy Li thic 15 Neutral I ()-1 5 Very Moderately Rapid Severe C–D Well Rock outcrop 5 – 357 Skeletal Futro- low Papid boralfs Maitland Footslopes Colluvium Sandy Mollic 60+ Slightly 40 High Moderately Rapid Severe B We ll 7 - 20% from Loam to Eutro- Acid to Rapid Sands tone Clay boralf s Neutral Loam - Flenchado Mtn. Slopes Sandstone Loam to Typic 28 Medium 28 Low Moderately Rapid Severe C Well 30 – 60% Sandy Eutro- Acid Rapid Loam bora lºfs 136. Bond- Mtn. Slopes Sandstone Sandy Lithic 10-20 Neutral 10–20 Low Moderately Rapid Moderate C Well Rock outcrop 15 - 45% Loam to IJs tollic Slow Sandy Ha plar- Clay gids Loam Bond-Bresser See Assoc. 36 l:57. Cyroborolls- Mtn. Slopes Colluvial Loam to º 40-60 Slightly 20-40 Moderate Moderate Moderate- Moderate B Well Rock Outcrop & High & Alluvial Clay Acid ly Rapid Benches Mat. & Chryst- Loam 15 - 50% alline & Sedimentary Rocks l e 58. Argiborolls Fans & Granite Sandy º 20-60 Neutral 20-60 Moderate Moderate Medium Moderate B Well Rock Outcrop Valley Gneiss & Loam to Side Slopes Schist Clay 15 - 50% Loam l 59. Argiborolls Uplands, Yle Iº e Clay tºº 60+ Neutral 6O High Moderate Medium Moderate B Mod. Benches & Loam Well Terraces 2 - 20% Ring See Assoc. 59 Sanchez- Slopes & Sandstone Stony Lithic 15 Neutral 12–15 Wery Moderate- Rapid Severe C-D Well Rock outcrop Terraces Sandy Eutro- Low ly Rapid 35 - 65% Clay bo ralfs Loam l 40. Argiborolls See Assoc. Eutroboralfs Side Slopes Sandstone Sandy Boralfs 10–60 Acid to 10–60 Low - Moderate Moderate Moderate C Well & Rock & Footslopes & Shale Loam to Neutral High to Rapid to Rapid to Severe Outcrop Clay Loam C-8 – ROYAL GORGE ENVIRONMENTAL STATEMENT SUMMARY OF SOIL CHARACTERISTICS TABLE Soil Association Postion. On Fffective Water Erosion Hydrologic Number, Name Landscape & Parent Taxonomy Depth Soil Root Depth Holding Perme- Surface Suscepti- Soil Soil and Components Slope Ranges Material Texture Class (Inches) Reaction (Inches) Capacity ability Runoff bility Group Drainage 147. Capulin Basalt Bassalt Loam to Aridic 60+ Moderately 60 High Moderate Moderate Moderate B Well Mesa Tops Clay Loam Argui- Alkaline 0 - 2% stolls Apache Side Slopes Bas salt Gravelly Lithic l 5 Moderately 15 Low Moderate Rapid Severe D Some- 15 - 30% Loam Haplus tolls Alkaline what Excess- ive 163. Kim See Assoc. 34 Scholle Uplands Alluvium Loam Us to 1 lic 60+ Moderately 20-60 High Moderate Moderate Moderate B-C Well O – 9% to Clay Haplargids Alka line Loam Casca jo Uplands Gravelly Gravelly Us tollic 60+ Moderately l() Low Rapid Moderate- Low R Some- 5 – 20% outwash Loam Calcior- Alka line ly Slow what thids Excess ive Raton Mesas & • * Clayey, Li thic 10–20 Mildly 10–2 () Mode r- Slow Moder- Moder- C Well Benches Skeletal Argi– Alkaline a tely a tely ately 5 - 1.5% borolls High Rapid Severe 182. Ba rela Mesas & * * * Loan to Typic 20-40 Mildly ſle Iſ e High Moderate Moderate Moderate R Well Benches Clay Argi– Alkaline 5 – 15% Loam NOTE: n. r. - Not Rated : : APPENDICES – D-1 APPENDIX D Stream Profile Rating System The "stream habitat inventory profile" is a system for rating the condition of streams. Five factors are Considered—stream cover, streambank condition, Streambank stability, stream channel stability, and Sedimentation of streambed. Aquatic resource Specialists assign a numerical rating ranging from 1 to * (4 being the highest or best rating) and the ratings of all factors are combined. This numerical total is "ntended to give an "average" score that gives a 9eneral picture of stream condition while taking into *CCount variability among the separate factors. A sample stream habitat inventory profile is shown in Table D-1. Badger Creek has little shade, the banks have large bare areas and are badly damaged, the channel shows recent evidence of movement, and the streambed contains large amounts of silt. Badger Creek has a stream profile rating of “5” on the 4 miles that were surveyed. As profile ratings improve from poor to fair to good to excellent, fish production also increases. Studies indicate that in arid western states production has improved as much as 570 percent between poor and excellent. The trend of a stream profile can be determined by comparing 2 years of profile ratings. Streams in the EIS area have been rated only once so far so no trend can be determined using the profile rating system, but TABLE D-1 STREAM HABITAT INVENTORY PROFILE Stream Radaºx Creek Date whi/4 Surveyor (s) Pric Word Planning Unit Ros |al Goxge. Site Number / Field surveykó42A º URA Aerial Photograph aquatic resource specialists have determined apparent trend by use of professional judgment and through comparisons with adjacent riparian areas (Table D-2). Impacts of Three Management Alternatives on Aquatic Resources Impacts of the Preferred Alternative are shown in Table D-3, the Management Constraints Alternative in Table D-4, and the Nonintensive Alternative in D-5. No table was prepared for the No Action Alternative since there would be no change in livestock management and therefore no change in the condition of aquatic resources. Neither was a table prepared for the Elimination of Grazing Alternative since all streams would improve to the limits of site potential. Only Badger Creek and Grape Creek would not reach good Or excellent condition. State 40 Dist. 40.50 Length of Stream Surveyed 40 miſes (Check One) STREAM COWER - /n (% Shade) 80% or more 4 60 to 80% 3 40 to 60% 2 | 40% or less (D STREAMBANK CONDITION > (%. Bare Soil) 5% or less 4 6 to 15% 3 16 to 25% 2 25% or more l/ STREAMBANK STABILITY : 7, (% Bank Damage) 0 to 10% 4 : 20% or less ſ 3 40% or 1ess * 2 41% or more / | i - STREAM CHANNEL STABILITY * : TN (% Channel Movement) 5% or less ; 4 6% to 10% 3 11 to 15% 2 16% or more (12 i * . SEDIMENTATION OF STREAMBED ! . (% Silt) | 10% or less 3 11 to 25% 2 26% or more (0. Column Totals : . | 5. Stream Condition Rating for Length of Stream Excellent 17 Good 14–15 Evaluated – (Enter Total score in appropriate space) Fair 10–13 SUMMARY (Last page of inventory for each stream) Field Inventory Total Number Stream Sites 4. O Stream Condition Rating Number Miles: Excellent O Photo Interpretation Total Number Stream Miles Inventoried Stream Condition Rating Number Miles: `-- Excellent Good | ) Goo H- Poor 5-1 Q Ix (s) Fair ( ) Poor ºl Fair Poor D-2 – ROYAL GORGE ENVIRONMENTAL STATEMENT TABLE D-2 AQUATIC AND RIPARIAN PROFILE RATINGS ON STREAMS IN ROYAL GORGE E. I. S. ARFA Stream Miles or Lake Surface Acres Profile Stability Stream Name On Public Land Rating Rating Arkans.2 s River 40 1/4 Good Stable Colorado Gulch 3/4 Good Stable Lake Fork 1/8 Excellent Stable Rock Creek 1/4 Excellent Stable Iowa Gulch 2 1/2 Good Stable Twin Lakes 31 S. A. Good Stable Clear Creek Reservoir 30 S. A. Good Stable Low Pass Gulch 1 1/2 Excellent Stable Two Bits Gulch 1/2 Good Stable Tarryall Creek 3/4 Fair Declining High Creek 1/3 PO Or Declining High Creek Reservoir 10 S. A. Good Stable Sheep Creek 1/4 Good Stable Twelvemile Creek 1/4 PO Or Declining Salt Creek 1/4 PO Or Declining Antero Reservoir 50 S. A. Good Stable Elevenmile Reservoir 80 S. A. Good Stable Pruden Creek 1/4 PO Or Declining Currant Creek 3 PO Or Declining South Catamount Reservoir 5 S. A. Good Stable North Catamount Reservoir 10 S. A. Good Stable Box Canyon 2 1/2 Fair Declining Fourmile Creek (Shelf Road Area) 3 1/4 PO or Declining Skagway Reservoir 12 S. A. Good Stable Beaver Creek 1/2 Fair Stable Eightmile Creek 8 Fair Declining Cottonwood Creek 6 Fair Declining Tallahassee Creek 2 1/2 Poor Declining Texas Creek 3 Fair Declining Badger Creek 4 PO.Or Declining Fourmile Creek (Buena Vista Area) 1/4 Fair Stable Trout Creek 1/2 Good Stable Green Creek 1/4 Good Declining Pass Creek 1 1/2 Fair Improving Little Coche topa Creek 1/2 Fair Stable Poncha Creek l Good Stable Bear Creek 3/8 Fair Stable West Creek 1/8 PO Or Declining Hamilton Creek 2 Fair Declining Big Cottonwood Creek 3/4 Fair Declining Hayden Creek 1/4 Good Stable Grape Creek 10 Fair Declining DeWeese Reservoir 4 S. A. Good Stable N. Taylor Creek 1/2 Excellent Stable M. Taylor Creek 1/2 Fxcellent Stable Crystal Falls 1/2 Excellent Stable JM Reservoir 18 S. A. Excellent Stable Muddy Creek l Fair Stable Wilson Reservoir 1 S. A. Excellent Stable Huerfano River 1/4 Excellent Stable Palo Duro Creek 3 1/4 Fair Declining May Creek 1 1/4 Fair Declining Pass Creek 1/8 PO Or Declining N. Abeyta Creek 3 1/2 Fair Stable S. Abeyta Creek 1/4 Fair Stable APPENDICES – D-3 TABLE D-3 AQUATIC IMPACTS OF THE PREFERRED ALTERNATIVE Miles or Surface Unit Stream or Acres of Public Short-term Impacts Long-term Impacts Number Lake Name Land Impacted on Aquatic Resource On Aquatic Resource l, 4, 8, 12, Arkansas River 40 1/4 Mi. No Change Rating of "good" would be retained 151, 190, 191, 193, 197, 198, 199,200,202, 203,206, 207, 223,224 5 Colorado Gulch 3/4 Mi. No Chage Rating of "good" would be retained 5 Lake Fork 1/8 Mi. No Change Rating of "excellent" would be retained 5 Rock Creek 1/4 Mi. No Change Rating of "excellent" would be retained 6 Iowa Gulch 2 1/2 Mi. No Change Rating of "good" would be retained 9 Twin Lakes 31 S. A. No Change Quality of habitat would be maintained as "good" 11 Clear Creek 30 S. A. No Change Quality of habitat would be maintained Reservoir as "good" 12 Low Pass Gulch 1 1/2 Mi. No Change Rating of "good" would be retained. 12 Two Bits Gulch 1/2 Mi. No Change Rating of "good" would be retained. 15 Tarryall Creek 3/4 Mi. Increase in cover and Rating would increase from "fair" bank stability to "excellent" 34 High Creek 1/3 Mi. No Change Rating of "poor" would be retained 34 High Creek 10 S. A. No Change Quality of habitat would be maintained Reservoir as "good" 41 Sheep Creek 1/4 Mi. No Change Rating of "fair" would be retained 44 Twelvemile 1/4 Mi. No Change Rating of "good" would be retained Creek 46 Salt Creek 1/4 Mi. No Change Rating of "poor" would be retained 48 Antero Reservoir 50 S. A. No Change Quality of habitat would be maintained as "good" 50 Elevenmile - 80 S. A. No Change Quality of habitat would be maintained Reservoir as "good" 50 Pruden Creek 1/4 Mi. Increase in cover and Rating would increase from "poor" bank stability to "good" 50A Elevenmile 30 S. A. No Change Quality of habitat would be maintained Reservoir as "good" 68, 158, Currant Creek 3 Mi. No Change Rating of "poor" would be retained 189, 190 87 South Catamount 5 S. A. No Change Quality of habitat would be maintained Reservoir as "good" D-4 – ROYAL GORGE ENVIRONMENTAL STATEMENT TABLE D-3 AQUATIC IMPACTS OF THE PREFERRED ALTERNATIVE Miles or Surface Unit Stream or Acres of Public Short-term Impacts Long-term Impacts Number Lake Name Land Impacted on Aquatic Resource On Aquatic Resource 87 North Catamount 10 S. A. No Change Quality of habitat would be maintained Reservoir as "good" 97 Box Canyon 2 1/2 Mi. No Change Rating of "fair" would be retained 98, 99, 141, Fourmile Creek 3 1/4 Mi. No Change Rating of "poor" would be retained 147,148 (Shelf Road Area) 119 Skagway 12 S. A. No Change Quality of habitat would be maintained Reservoir as "good" 127 Beaver Creek 1/2 Mi. No Change Rating of "fair" would be retained 1 38 Eightmile Creek 3 Mi. No Change Rating of "fair" would be retained 160, 184, Cottonwood 4 Mi. No Change Rating of "fair" would be retained 186 Creek 187 Cottonwood 2 Mi. No Change Rating of "fair" would be retained Creek º 189 Tallahassee 1 1/4 Mi. No Change Rating of "poor" would be retained Creek 190 Tallahassee 1 1/4 Mi. No Change Rating of "poor" would be retained Creek 192 Texas Creek 3 Mi. No Change Some increase in bank stability. Rating of "fair" would be retained 197 Badger Creek 4 Mi. No Change Rating of "poor" would be retained 204 Fourmile Creek 1/4 Mi. No Change Some increase in cover and bank (Buena Vista Area) stability. Rating would increase from "fair" to "good" 204 Trout Creek 1/2 Mi. Increase in cover and Rating of "good" would be retained bank stability . 217 Green Creek 1/4 Mi. Some increase in Rating would increase from "fair" cover and bank stability to "good" . 217 Pass Creek 1 1/2 Mi. Some increase in cover Rating would increase from "fair" and bank stability to "good" º 218 Little Cochetopa 1/2 Mi. No Change Rating of "fair" would be retained * Creek t 220 Poncha Creek 1 Mi. No Change Rating of "good" would be retained 223 Bear Creek 3/8 Mi. No Change Rating of "fair" would be retained 225 West Creek 1/8 Mi. No Change Rating of "poor" would be retained 227 Hamilton Creek 2 Mi. No Change Rating of "fair" would be retained . 229 Big Cottonwood 3/4 Mi. Increase in cover and Rating would increase from "fair" to "good". bank stability i t ~. APPENDICES – D-5 TABLE D-3 AQUATIC IMPACTS OF THE PREFERRED ALTERNATIVE Miles or Surface Unit Stream or Acres of Public Short-term Impacts Long-term Impacts Number Lake Name Land Impacted on Aquatic Resource On Aquatic Resource 229 Hayden Creek 1/4 Mi. No Change Rating of "good" would be retained. 237,238,243 Grape Creek 10 Mi. No Change Rating of "fair" would be retained 244 DeWeese 4 S. A. No Change Quality of habitat would be maintained Reservoir as "good" 262 N. Taylor Creek 1/2 Mi. No Change Rating of "excellent" would be retained 262 M. Taylor Creek 1/2 Mi. No Change Rating of "excellent" would be retained 282 Crystal Falls 1/2 Mi. No Change Rating of "excellent" would be retained Creek 284 JM Reservoir 18 S. A. No Change Quality of habitat would be maintained as "excellent" 285 Muddy Creek 1 Mi. No Change Rating of "fair" would be retained 320,321 May Creek 1 1/4 Mi. No Change Rating of "fair" would be retained 323 Wilson Reservoir 1 Mi. No Change Quality of habitat would be maintained as "excellent" 326 Huerfano River 1/4 Mi. No Change Rating of "excellent" would be retained 328,339 Palo Duro Creek 3 1/4 Mi. No Change Rating of "fair" would be retained 342 Pass Creek 1/8 Mi. No Change Rating of "poor" would be retained 353 N. Abeyta Creek 3 1/2 Mi. No Change Rating of "fair" would be retained 356 S. Abeyta Creek 1/4 Mi. No Change Rating of "fair" would be retained TABLE D-4 AQUATIC IMPACTS OF THE MANAGEMENT CONSTRAINTS ALTERNATIVE Miles or Surface Unit Stream or Acres of Public Short-term Impacts Long-term Impacts Number Lake Name Land Impacted on Aquatic Resource on Aquatic Resource 197 Badger Creek 4 Mi. Increase in bank stability Rating of "poor" will be retained 187 Cottonwood Creek l. 75 Mi. Reduced sediment and increase Rating would increase from "fair" in cover and bank stability to "excellent" 155 Currant Creek 2.5 Mi. Reduced sediment and increase Rating would increase from "poor" in cover and bank stability to "excellent" 141 Fourmile Creek 1.5 Mi. Reduced sediment and increase Rating would increase from "poor" (Shelf Road Area) in cover and bank stability to "good" 243 Grape Creek 10 Mi. Some increase in cover and Rating of "fair" would be retained bank stability 217 Green Creek . 25 Mi. Reduced sediment and increase Rating would increase from "good" in cover and bank stability to "excellent" D-6 — ROYAL GORGE ENVIRONMENTAL STATEMENT TABLE D-4 AQUATIC IMPACTS OF THE MANAGEMENT CONSTRAINTS ALTERNATIVE Miles or Surface Unit Stream or Acres of Public Short-term Impacts Long-term Impacts Number Lake Name Land Impacted on Aquatic Resource On Aquatic Resource 34 High Creek Reservoir 4.5 S. A. Some increase in cover and Quality of habitat would be maintained shore stability as "good" 217 Pass Creek 1.5 Mi. Reduced sediment and increase Rating would increase from "fair" in cover and bank stability to "excellent" 50 Pruden Creek . 25 Mi. Increase in cover and bank Rating would increase from "poor" stability to "good" 15 Tarryall Creek . 75 Mi. Increase in cover and bank Rating would increase from "fair" stability to "excellent" 192 Texas Creek 3. O Mi. Reduced sediment and increase Rating would increase from "fair" in cover and bank stability to "excellent" 204 Trout Creek . 5 Mi. Increase in cover and bank Rating of "good" would be retained stability TABLE D-5 AQUATIC IMPACTS OF THE NONINTENSIVE ALTERNATIVE Miles or Surface Unit Stream or Acres of Public Short-term Impacts Long-term Impacts Number Lake Name Land Impacted on Aquatic Resource on Aquatic Resource 197 Badger Creek 4 Mi. Increase in cover and bank Rating of "poor" would be stability retained 187 Cottonwood Creek 1.75 Mi. Increase in cover and bank Rating would increase stability from "fair" to "excellent" 155 Currant Creek 2.5 Mi. Reduced sediment and increase Rating would increase from "poor" in cover and bank stability to "excellent" 141 Four:mile Creek 1.5 Mi. Reduced sediment and increase Rating would increase from "poor" (Shelf Road Area) in cover and bank stability to "good" 243 Grape Creek 10 Mi. Some increase in cover and Rating of "fair" would be retained bank stability 217 Green Creek . 25 Mi. Increase in cover and bank Rating would increase stability from "good" to "excellent" 34 High Creek Reservoir 4.5 S. A. Some increase in cover and Rating would increase from "good" shore stability to "excellent" 217 Pass Creek 1.5 Mi. Reduced sediment and increase Rating would increase from "fair" in cover and bank stability to "excellent" 50 Pruden Creek . 25 Mi. Increase in cover and bank Rating would increase from "poor" stability to "good" 15 Tarryall Creek . 75 Mi. Increase in cover and bank Rating would increase from "fair" stability to "excellent" 192 Texas Creek 3.0 Mi. Reduced sediment and increase Rating would increase from "fair" in cover and bank stability to "excellent" 204 Trout Creek .50 Mi. Increase in cover and bank Rating of "good" would be retained stability APPENDICES — E-1 APPENDIX E Recreational Use Data The following summaries of hunting data were Collected with the assistance of the Colorado Division Of Wildlife. TABLE E-1 1977 BIG GAME HUNTING DATA Total Harvest Percent Harvest Visitor in Of Total Oſl Percent Days on Planning Statewide Visitor Public , of State . Public Areal Harvest Days Lands2/ Harvest?/ Lands Mule Deer (Rifle) 1,846 3.2 23, 145 225 0.4 2,777 Mule Deer (Archery) 59 3. 7 3,521 7 0.4 423 Elk (Rifle) 549 2. 1 11,923 109 0.4 2,384 Elk (Archery) 33 4. 9 2,268 6 1.0 453 Antelope 7 0. 1 61 l g- 12 Bighorn Sheep 26 37. O 489 13 18.5 245 Black Bear 54 8. 2 2,352 27 4. 1 1, 176 Mountain Lion 39 47. O __500 31 37. 6 400 Totals 44,259 7,870 TABLE E-2 1977 SMALL GAME HUNTING DATA Total Harvest Percent Harvest Visitor in of Total O Il Percent Days on Planning Statewide Visitor Public of State Public Areak Harvest Days Lands?/ Harvest?/ Lands Waterfowl 1,756 .03 3,895 17 gº 40 Dove 11,683 2. 3 3,370 1 17 gº 34 Pigeon, Band tail 967 59. 2 755 10 0.6 8 Turkey 24 4.0 1 15 4 * - 17 Pheasant 31 ... 07 63 l º l Blue Grouse 887 3.9 1,605 9 *E= 16 Rabbit (Cottontail) 21,519 9. 6 24,914 11,835 4.8 13,702 Squirrel (Fox) 357 5. 7 979 36 0.6 98 Squirrel (Pine) 2,568 23 3,219 256 2. 3 321 Bobcat 88 21 28 26 6. 3 85 Coyote 784 3. 5 4,783 1 18 0. 5 717 Prairie Dog 3,863 1. 8 3,403 77 eº 68 Totals 47, 129 15, 107 l / Data Source: 2. / 3. / percent) Sour Ce: Estimates, taken from Wildlife portion, URA III 1977 Colorado Big Game Harvest Statistics Royal Gorge URA - Recreation Appendix – Visitor Use Where dashes appear, percentage of state harvest is negligible (less than 0.05 . E-2 — ROYAL GORGE ENVIRONMENTAL STATEMENT TABLE E-3 1976 BIG GAME HUNTING DATA Total Harvest Percent Harvest Visitor in of Total On Percent Days on Planning Statewide Visitor Public of State Public Area Harvest Days Landsl/ Harvest Lands Mule Deer 857 2 5,571 48 0. 1 312 Elk . 190 0.1 3,629 9 tº- 172 Antelope 182 5 309 3 0. 1 5 Black Bear 32 6 2,047 _0 O —% Totals 60 A89 1/ Estimates taken from Wildlife portion, URA III TABLE E-4 1976 SMALL GAME HUNTING DATA Total Harvest Percent Harvest Visitor in Of Total On Percent Days on Planning Statewide Visitor Public of State Public Area Harvest Days Landsl/ Harvest Lands Duck 900 0.4 1, 170 8 O 10 Goose?/ 375 2 2,099 4 O 22 Turkey 290 66 1,305 8 2 36 Dove 18,252 3 5,577 609 0.1 18 Scaled Quail 2,052 16 537 21 0.2 l Grouse 707 3 869 167 0.8 168 Rabbit 8,592 4 8,685 187 0. 1 189 Coyote 496 2 4,425 26 0.1 232 Prairie Dog 11,576 4 198 O O O Pheasant 700 l 1, 197 20 tº º _34. Totals 1,050 71 1/ Estimates taken from Wildlife portion, URA III 2/ 1974 data Source: Raton Basin URA - Recreation Visitor Use APPENDICES — F-1 APPENDIX F Ranch Economics The ranch economic analysis in this appendix is based on a study conducted by the Range Science Department at Colorado State University. The study was funded by the State of Colorado, U.S. Forest Service, and the Bureau of Land Management. The study involved extensive survey work on 135 ranching operations in Colorado that graze livestock on federally-owned lands. The survey method was personal interview and the ranching operations were randomly selected from all ranches in Colorado that graze livestock on federally-owned lands. The study divided Colorado into five regions, each of which exhibited certain ranching characteristics. A variety of ranch models was developed for each region, depending upon size and livestock class groupings evident from the survey work. The Royal Gorge Grazing Environmental Impact Statement area is in the southeast study region. Linear programming techniques were applied to the models in order to make estimates of gross revenue, net revenue, property tax, and hired ranch employment changes for this document. The 93 EIS ranching operations which graze livestock on public lands were grouped by size and livestock class into the two ranch models. Present BLM forage use and forage use reductions resulting from the proposed action and alternatives were tracked from each allotment to the individual ranching operations. When these forage use considerations involved common use allotments, a proration of use among operators was made based on 1978 use proportions. Private grazing lands within the allotments were also considered in tracking forage use changes to the ranching operations since their use is regulated on a proportioned basis to BLM forage use as a condition of the allotment program. Thus, any combination of BLM forage use, whether it is on one or several allotments or is of single or combined use or is in combination with private land use, has been associated with the respective ranching operations. The BLM forage use, and, where appropriate, associated private forage use, was used to identify the average forage use and forage use changes which are indicated in tables of this document. Average forage use (in AUMs) numbers were applied to the two ranch models to estimate ranch economic effects from BLM forage use. The ranch budgets for the two models follow (Tables F-1 through 8). Certain operating expenses such as ranch business and utilities were judged to be relatively fixed and thus were not varied between the levels of BLM forage use. Other expenses such as marketing and veterinary were varied to accommodate changes in herd size. The present situation for each of the models was used to estimate revenue levels per ranch and in aggregate given existing BLM forage use levels for the 93 ranches. This information appears in Table 3-4. Table 4-8 indicates the estimated reduction in local property taxes that would be paid per ranch and in total if livestock grazing on BLM lands were eliminated. An estimation of local property tax reductions based on changing values of ranch livestock herds was made and included in the document wherever appropriate. A method similar to the above was used to estimate changes in hired employment. Table 4–7 indicates the reduction in person-years of hired employment per TABLE F-1 CHANGES IN REVENUES PREFERRED AND NONINTENSIVE ALTERNATIVES ranch and in total as a result of elimination of livestock grazing on public lands. An estimation of person-year employment reductions based on changing ranch livestock herds was made and included in the document whenever appropriate. All analysis is based on active use qualifications. It is possible that actual forage use on an allotment may vary as much as 10 percent below the indicated present use levels indicated. Consequently, the economic impacts indicated by the two ranch models may be viewed as maximum impacts for each of the alternatives. Individual EIS area ranches may not exactly match the budget displays for the ranch models. The models are averages for the survey ranches in each category. Nevertheless, overall impacts for respective categories should be fairly accurate. Recreation-Related Income As wildlife habitat improves, wildlife populations would be expected to increase. Increases in populations would have impacts on recreation. Wildlife viewing and hunting opportunities would increase and while actual recreation days would not necessarily increase in direct proportion, more people would be expected to pursue recreational activities related to wildlife in the EIS area (Tables F-9 through F-14). Increases in activity would occur principally in hunting and fishing with a concomitant increase inexpenditures for goods and services associated with hunting and fishing (bait stores, gun shops, motels, gas stations, etc.). Prediction of the precise economic result is difficult. For the purpose of this EIS, figures from a 1973 study were adjusted to 1978 to derive changes in sportsmen's expenditures relating to changes in expected hunting and fishing days within the resource area (Table F-15). Per Operator Present Short-term Long-term (Preferred Only)l/ Model: Cattle # 1 (0–199 Head) Gross Revenue ($) 16,001 10, 564 13, 823 Total Operating Cost ($) 15,744 14,444 15,546 Net Revenue2/ 257 –3,880 –1, 723 Model: Cattle #2 (200+ Head) Gross Revenue ($) 129,908 119,638 125, 451 Total Operating Cost ($) 92,408 89, 117 90,879 Net Revenue2/ 37,500 30,521 34,572 1/ Long-term impacts would be the same as short-term impacts under the Nonintensive Alternative. 2/ Excludes depreciation and owner-operator labor costs. F-2 — ROYAL GORGE ENVIRONMENTAL STATEMENT TABLE F-2 OPERATING EXPENSES - PREFERRED AND NONINTENSIVE ALTERNATIVES Region: Southeast Model : Cattle # 1 (0–199 Head) Number of Units/Total Expense . Operating Expenses Unit Rate/Unit Present Short-term Long-termſ/ Taxes $ 1114 1 114 1114 Marketing Expenses $ 167 124 150 Ranch Business Š 167 167 167 J nterest on Production Š 674 499 607 General Supplies S 16 1 4 1614 1614 Utilities Š 729 729 729 Veterinary S 1 4 3 106 129 Insurance Š 433 433 433 Equipment Rental Š 14 14 14 Fuel - Lube Š 1443 1443 1443 Fence - Building Repair $ 350 350 350 Machine - Equipment Repair $ 1500 1500 1500 Custom Hire $ 1629 1629 1629 Fertilizer - Chemicals Š 629 629 629 Seed $ 86 86 86 Feed Purchases: 1. Alfalfa - Hay TOn 58 4.0/2.32 4/232 4/232 2. Supplement TOn 154 2. 1/323 2. 1/323 2. 1/323 3. Salt TOn 73 2.7/197 2.7/197 2.7/197 Trucking $ 136 101 122 Labor: 1. Manager Man-Yr. 89.52 .286/2560 . 216/1934 . 286/2560 2. Seasonal Man-Yr. 3. Temporary Man-Yr. .016/43 .016/43 .016/43 4. Annual Man-Yr. Land Leases 1. Range AUM 6. 38 9. 15/58 9. 15/58 9. 15/58 2. Irrigated Pasture AUM 6.63 30.90/205 30.90/205 30.90/205 Grazing Fees: 1. Forest Service AUM 1.60 85. 20/136 85. 20/136 85. 20/136 2. BLM AUM 1.51 210/317 66/100 153/231 3. State AUM 3.11 3. 15/10 3. 15/10 3. 15/10 Yearling Calf Purchases Head 167 5/835 4/668 5/835 TOTAL 15,744 14,444 15,546 1/ Preferred Alternative only, short and long-term costs for the Nonintensive Alternative are the same. APPENDICES — F-3 TABLE F-3 OPERATING EXPENSES - PREFERRED AND NONINTENSIVE ALTERNATIVES Region: Southeast Model : Cattle #2 (200+ Head) Number of Units/Total Expense . Operating Expenses Unit Rate/Unit Present Short-term Long-terml/ Taxes $ 5300 5300 5300 Marketing Expenses $ 200 190 198 Ranch Business $ 2960 2960 2960 Interest on Production Š 1838 1746 1820 General Supplies Š 5540 5540 5540 Utilities $ 252O 2520 252O Veterinary $ 2420 2229 23.48 Insurance $ 2800 2800 2800 Equipment Rental $ O O O Fuel - Lube Š 4.860 4.860 4.860 Fence - Building Repair Š 1400 1400 1400 Machine - Equipment Repair Š 2200 2200 2200 Custom Hire Š 680 680 680 Fertilizer - Chemicals Š 2400 2400 2400 Seed Š 200 200 200 Feed Purchases: 1. Alfalfa - Hay TOn 58 285/165.30 285/165.30 285/16530 2. Supplement TOn 154 22/3380 22/3388 22/3388 3. Salt TOn 73 7. 3/ 533 7.3/533 7.3/533 4. Grain TOn 1.90 148/281 148/281 148/281 Trucking Š 71 1 675 704 Labor: 1. Manager Man-Yr. 8952 . 125/1 119 .065/582 . 119/1065 2. Seasonal Man-Yr. 3444 .09.4/324 .034/117 . O89/307 3. Temporary Man-Yr. 6,386 .044/281 O/O .04.2/145 4. Annual Man-Yr. 6960 1.75/12 180 1.66/11554 1.69/11762 Land Leases 1. Range AUM 6. 38 355. 50/2268 355.50/2268 355.50/2268 2. Irrigated Pasture AUM 6. 63 110. 40/732 110. 40/732 110. 40/732 Grazing Fees: 1. Forest Service AUM 1. 60 1771. 35/2834 1771. 35/2834 1771. 35/2834 2. BLM AUM 1.51 316/477 1 1 1/168 225/340 3. State AUM 3. 11 236.65/736 236.65/736 236.65/736 Yearling Calf Purchases Head 167 88/14696 82/13694 84/14028 TOTAL 92,408 89, 117 90,879 l/ Preferred Alternative only, short and long-term costs for the Nonintensive Alternative are the same. E-4 – ROYAL GORGE ENVIRONMENTAL STATEMENT TABLE F-4 CHANGES IN REVENUES MANAGEMENT CONSTRAINTS AND ELIMINATION ALTERNATIVES Management Constraints Short-term Long-term Elimination Short & Long-term Per Operator Model: Cattle # 1 (0 – 199 Head) Gross Revenue ($) 9, 186 10,340 8, 107 Total Operating Cost ($ ) 14,007 14,420 13,777 Net Revenuel/ –4,821 –4,080 –5, 670 Model: Cattle #2 (200+ Head) Gross Revenue ($) 116,616 1 18, 204 113,713 Total Operating Cost (S) 93,779 94,249 86,205 Net Revenue1/ (s) 22,837 23,955 27,508 1/ Excludes depreciation and owner-operator labor costs. TABLE F-5 OPERATING EXPENSES - ELIMINATION OF GRAZING ALTERNATIVE Region: Southeast Model : Cattle # 1 (0–199 Head) Number of Units/Total Expense Operating Expenses Unit Rate/Unit Present Short & Long-term Taxes S 1 114 1 114 Marketing Expenses S 167 105 Ranch Business $ 167 167 Interest on Production S 674 4.25 General Supplies S 16 1 4 1614 Utilities S 729 729 Veterinary $ 143 90 Insurance S 4.33 433 Equipment Rental S 14 14 Fuel - Lube $ 1443 1443 Fence - Building Repair S 350 350 Machine - Equipment Repair S 1500 1500 Custom Hire S 1629 1629 Fertilizer - Chemicals S 629 629 Seed S 86 86 Feed Purchases: 1. Alfalfa - Hay TOn 58 4.0/2.32 232 2. Supplement TOn 154 2. 1/323 323 3. Salt TOn 73 2.7/197 197 Trucking $ 136 86 Labor: 1. Manager Man-Yr. 89.52 . 286/2560 . 18/161 l 2. Seasonal Man-Yr. 3. Temporary Man-Yr. .016/43 .01/90 4. Annual Man-Yr. Land Leases 1. Range AUM 6. 38 9. 15/58 9. 15/58 2. Irrigated Pasture AUM 6. 38 30.90/205 30.90/205 Grazing Fees: 1. Forest Service AUM 1. 60 85. 20/136 85. 20/136 2. BLM AUM 1. 5.1 210/317 0/0 3. State AUM 3. 11 3. 15/10 3. 15/10 Yearling Calf Purchases Head 167 5/835 3/501 TOTAL 15,744 13,777 APPENDICES — F-5 TABLE F-6 OPERATING EXPENSES - ELIMINATION OF GRAZING ALTERNATIVE Region: Southeast Model : Cattle #2 (200+ Head) Number of Units/Total Expense Operating Expenses Unit Rate/Unit Present Short & Long-term Taxes $ 5300 5300 Marketing Expenses $ 200 180 Ranch Business $ 2960 2960 Interest on Production $ 1838 1654 General Supplies $ 5540 5540 Utilities $ 2520 2520 Veterinary $ 24.20 21.78 Insurance $ 2800 2800 Equipment Rental $ O O Fuel - Lube $ 4860 4860 Fence - Building Repair S 1400 1400 Machine - Equipment Repair $ 2200 2200 Custom Hire S 680 680 Fertilizer - Chemicals $ 2400 2400 Seed S 200 200 Feed Purchases: 1. Alfalfa - Hay Ton 58 285/165.30 285/165.30 2. Supplement Ton 154 22/3380 22/3388 3. Salt TOn 73 7. 3/ 533 7. 3/ 533 4. Grain Ton 1 - 90 148/281 148/281 Trucking S 711 640 Labor: 1. Manager Man-Yr. 89.52 . 125/1 119 . 1 1/985 2. Seasonal Man-Yr. .09.4/324 .08/276 3. Temporary Man-Yr. .044/281 . 04/1 38 4. Annual Man-Yr. 1.75/12 18O 1.58/10996 Land Leases 1. Range AUM 6. 38 355.5/2268 355.5/2268 2. Irrigated Pasture AUM 6. 38 1 10.4/732 1 10.4/732 Grazing Fees: 1. Forest Service AUM 1. 60 1771.35/2834 1771. 35/28 2. BLM AUM 1.5 l 316/477 0/0 3. State {JM 3. 11 236.65/736 236.65/736 Yearling Calf Purchases Head 167 88/14696 79/13 193 TOTAL 92,408 86,205 TABLF F-7 OPERATING FXPENSES - MANAGEMENT CONSTRAINT ALTERNATIVE Region: Southeast Model : Cattle #1 (0–199 Head) Number of Units/Total Expense Operating Expenses Unit Rate/Unit Present Short-term Long-term Taxes S 1 l l 4 1 114 1 114 Marketing Expenses $ 167 1 14 122 Ranch Business $ 167 167 167 Interest on Production S 674 458 492 General Supplies S 16 1 4 1614 16 1 4 Utilities S 729 729 729 Veterinary S 1 4 3 Q7 104 Insurance $ 4 33 433 433 Fouipment Rental S 14 14 14 Fuel - Lube S 1443 1443 144 3 Fence - Building Repair S 350 350 350 Machine - Equipment Repair S 1500 1500 1500 Custom Hire S 1629 1629 1629 Fertilizer - Chemicals S 629 629 629 Seed S 86 86 86 Feed Purchases: 1. Alfalfa – Hay TOn 58 4.0/2.32 232 232 2. Supplement Ton 154 2. 1/323 323 323 3. Salt TOn 73 2.7/197 197 197 Trucking S 136 Q2 99 Labor: 1. Manager Man-Yr. 89.52 . 286/2560 . 194/1737 .209/1871 2. Seasonal Man-Yr. 3. Temporary Man-Yr. .016/43 ... O l l /98 . 012/107 4. Annual Man—Yr. Land Leases 1. Range AUM 6. 38 9. 15/58 9. 15/58 9. 15/58 2. Irrigated Pasture AUM 6.63 30.90/205 30.90/205 30.90/205 Grazing Fees: 1. Forest Service AUM 1. 60 85. 20/136 85. 20/136 85. 20/136 2. BLM AUM 1. 5.1 210/317 27/4 1 58/88 3. State AUM 3. l 1 3. 15/10 3. 15/10 3. 15/10 Yearling Calf Purchases Head 167 5/835 4/501 4/668 TOTAL 15,744 14,007 14,420 F-6 Region: Model : Southeast Cattle #2 (200+ Head) — ROYAL GORGE ENVIRONMENTAL STATEMENT TABLE F-8 OPERATING EXPENSES - MANAGEMENT CONSTRAINT ALTERNATIVES Number of Units/Total Expense Operating Expenses Unit Rate/Unit Present Short-term Long-term Taxes $ 5300 5300 5300 Marketing Expenses $ 200 184 186 Ranch Business S 2960 2960 2960 Interest on Production S 1838 6226 6334 General Supplies $ 554() 5540 5540 Utilities S 2520 2520 2520 Veterinary $ 24.20 2266 2251 Insurance S 2800 2800 2800 Fouipment Rental S O O O Fuel - Lube $ 4860 4860 4.860 Fence - Building Repair S 1 400 1400 1 400 Machine - Equipment Repair Š 2200 2200 2200 Custom Hire S 680 680 680 Fertilizer - Chemicals S 2400 2400 2400 Seed S 200 200 200 Feed Purchases: 1. Alfalfa - Hay TO n 58 285/165.30 285/165.30 285/165.30 2. Supplement TOn 154 22/3380 22/3388 22/3388 2. Salt TOn 73 7.3/533 7. 3/ 533 7. 3/ 533 4. Grain TOn 1 - 90 148/281 148/281 148/281 Trucking S 71 1 654 66 1 Labor: 1. Manager Man-Yr. 8952 . 125/1 l 19 . 115/l 029 ... l 16/1038 2. Seasonal Man-Yr. .094/324 .086/.296 .087/300 3. Temporary Man-Yr. .044/281 . 040/1 38 .04 1/l 4 l 4. Annual Man-Yr. 1. 75 / 12 180 1.61 / 1 1206 1.63/1 1345 Land Leases l. Range AUM 6. 38 355. 50/2268 355.50/2268 355. 50/226 2. Irrigated Pasture AUM 6. 63 1 10. 40/732 1 10.40/732 l 10.40/732 Grazing Fees: 1. Forest Service AUM 1. 60 1771. 35/2834 1771. 35/2834 1771. 35/28 2. BLM AUM l. 51 316/477 60/91 91 / 1.37 3. State AUM 3. l 1 236. 6.5/736 236. 6.5/736 236.65/736 Yearling Calf Purchases Head 167 88/14696 81/13527 82/13694 TOTAL 92,408 93,779 94,249 TABLE F-9 PER CAPITA SPORTSMAN EXPENDITURES IN COLORADO BY ACTIVITY PARTICIPATION IN 1973 AND INDEXED TO 1978 Total Per Capita Per Capitalſ Activity (1973) (1973) (1978) Deer $ 47,613,608 $264. 36 $388. 10 Elk $ 36, 361,218 $3 13.49 $460. 22 Sheep $ 79,754 $538.88 $791. 11 Hunting (Total) $ 85,054,580 Fishing $215,443,254 $358. 29 $525.99 Hunting and Fishing $299, 497,834 l/ Derived by projecting per capita expenditures using Consumer Price Index (1967=100; 1978=195. 4.) Source: Ross, L.A., D. M. Blood, and K. G. Nobe, 1975. A survey of Sportsmen Expenditures for Hunting and Fishing In Colorado, 1973, Dept. of Econ. , Colorado State University, Ft Collins, Colorado NRE-20 APPENDICES — F-7 NUMBER OF HUNTING AND FISHING DAYS PREFERRED ALTERNATIVE, TABLE F-10 LONG TERM Contribution To Sportsmen Expenditures Intensive Percent With in the Baseline Management Change Change F.I.S Area (1978) Deer $ 3,512 $ 4,565 $1,053 30 $139,716 Elk 3,009 3,279 270 9 25,772 Sheep 245 382 137 56 __ ] ,076 Hunting (Total) $ 6,766 $ 8,226 $1,460 22 $176,564 Fishing $122,620 $123,620 $1,000 l § 36,560 Hunting and Fishing $129,386 $131,846 $2,460 2 $213, 133 TABLE F-11 NUMBER OF HUNTING AND FISHING DAYs No Act ION, LONG TERM <-------->|-> gº ºsºs -------------------------------ºrrºr;--- To Sportsmon fxpenditures Percent "With in the Raseline *No Action Change Change E IS Area (1978) Deer S 3,512 $ 3, 212 $ –300 –9 S-39, 974 Elk 3,009 2,959 – 50 2 — 4,602 Sheep 245 —“” —--- () —------- Hunting (Total) $ 6,766 $ 6,416 $ -350 -5 S-44, 576 Fishing $122,624) $122,620 S –– () $ tº ſº ilunting and Fishing $129,386 $129,036 S -350 () S-44, 576 TABLE F-12 NUMBER OF HUNTING AND FISHING DAYS ELIMINATION OF GRAZING, LONG TERM Contri Sution T To Sportsmen Fxpenditures Elimination Percent With in the Baseline of Grazing Change Change FIS Area (1978) Deer $ 3,512 $ 4,412 $ 900 26 $119,535 Elk 3,009 3,359 350 12 33,596 Sheep 245 385 140 57 11,867 Hunting (Total) $ 6,766 $ 8, 156 $ 1,390 21 $164,998 Fishing $122,620 $135,000 $12,380 1() $452,351 Hunting and Fishing $129,386 $143, 156 s13,770 1 I $617,349 F-8 – ROYAL GORGE ENVIRONMENTAL STATEMENT TABLE F-13 NUMBER OF HUNTING AND FISHING DAYS MANAGEMENT CONSTRAINTS, LONG TERM Contribution To Sportsmen Expenditures Management Percent Within the Baseline Constraints Change Change EIS Area (1978) Deer $ 3,512 $ 4,962 $1,450 41 $192,498 Elk 3,009 3,379 370 12 25,772 Sheep 245 430 185 76 15,031 Hunting (Total) $ 6,766 $ 8,771 $2,005 30 $233,301 Fishing $122,620 $129,620 $7,000 6 $225,631 Hunting and Fishing $129,386 $138,391 $9,005 7 $458,932 TABLE F-14 NUMBER OF HUNTING AND FISHING DAYS NONINTENSIVE ALTERNATIVE, LONG TERM Contribution To Sportsmen Expenditures Nonintensive Percent Within the Baseline Management Change Change EIS Area (1978) Deer $ 3,512 $ 4, 212 $ 700 20 $ 92,756 Elk 3,009 3,259 250 8 23,931 Sheep 245 355 1 10 45 9,493 Hunting (Total) $ 6,766 $ 7,826 $1,060 16 $126, 180 Fishing $122,620 $127,530 $4,910 4 $179,363 Hunting and Fishing $129,386 $135,356 $5,970 5 $305,543 TABLE F-15 CALCULATIONS USED TO DERIVE REGIONAL SPORTSMEN EXPENDITURES 1. Change in Number of Hunting Days X Days per Animal Harvested Average Number of Hunters per Animal Harvested Total Sportsmen Expenditures in Region to Hunting Activity X Per Capita Sportsman Expenditures in Region (1978 Dollars) 2. Change in Number of Fishing Days X Average Number of Days Fished per Fisherman Per Capita Sportsman Expenditures in Region (1978 Dollars) = Total Sportsmen Expenditures in Region to Fishing Activity APPENDICES - G-1 APPENDIX G Runoff and Peak Flows wn." estimates for Table G-1 were made by }. the method in BLM Manual, Sections 78313 and meth (the SCS Flood Hydrograph Method). The basi Od uses precipitation, SOils, ground cover, and Wer ^ Characteristics as variables. Precipitation values is © taken from weather bureau maps showing °Pluvials of rainfall of various return periods. The 10- * 6-hour storm was selected as a rainfall that is not Und y rare, yet sufficient to produce substantial runoff w. most watershed conditions. Soils information obtained from Soil Conservation Service maps. ... Cover was taken from the 1978 range survey to . from watershed surveys conducted from 1973 Dre 76. Predicted changes in runoff were based on dicted changes in ground cover for each *ternative. *c Procedure for Estimating sediment yield Sediment estimates were made using the method *loped by the Pacific Southwest Interagency '"mittee, water Management Subcommittee, *mentation Task Force (the PSAC method) with modifications found in BLM Manual, Section 7317. The variables required by this method were obtained from the Sources mentioned above. The material that follows was used in the evaluation of sediment yield. It was originally prepared by the Sedimentation Task Force, PSIAC, in October 1968 for use in the Pacific Southwest area. It is, however, equally applicable to all areas administered by BLM in the Western States. This procedure is intended as an aid to the evaluation of sediment yield for the variety of conditions in this area. Nine factors are considered in estimating the sediment yield. These are geology, soils, climate, runoff, topography, ground cover, land use, upland erosion and channel erosion, and sediment transport. The sediment yield characteristics of each factor are assigned a numerical value representing its relative significance in the yield rating. The numerical values are summed and this yield rating compared to the Sediment Yield Classification Table (G-2) to determine sediment yield in acre-feet per square mile or in tons per acre. The factors are generally described, for the purposes of avoiding complexity, as independently influencing the amount of Seidment yield. In reality, TABLE G-1 EXPECTED CHANGES IN BY INTENSIVE MANAGEMENT UNITl/ this is not the case. The variable impact of any one factor is the result of influence by the others. To account for this variable influence in this procedure would require intensive investigational procedures not desirable for the intended purposes. Ground cover is used as an example to indicate the interdependence of these factors. If there is no vegetation, litter, or rock fragments protecting the surface, the rock, soil, and topography express their uniqueness on erosion and sediment yield. If the surface is very well protected by cover, the characteristics of the other factors are obscured by this circumstance. In similar vein, an arid region has a high potential for erosion and sediment yield because of little or no ground cover, sensitive soils, and rugged topography. Given very low intensity rainfall and rare intervals of runoff, the sediment yield could be quite |OW. Each of the nine factors on Form 73.10–16 are paired influences with the exception of topography. That is, geology and soils are directly related as are climate and runoff, ground cover and land use, and upland and channel erosion. Ground COver and land use have a negative influence under average or better conditions. Their impact on sediment yield is therefore indicated as a negative influence when affording better protection than this average. RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD Unit 1 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 11.2 54 . 26 Preferred 11.2 O 54 O . 26 O No Action 11.2 O 54 O . 26 O Elimination 11.2 O 54 O . 26 O Constraints 11.2 O 54 O .26 O Non-Intens. 11.2 O 54 O . 26 O Unit 2 Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 3. 8 18 - 18 Preferred 3. 8 O 18 O - 18 O No Action 3.8 O 18 O . 18 () Elimination 3. 8 O 18 O . 18 O Constraints 3. 8 O 18 O . 18 O Non-Intens. 3.8 O 18 O . 18 O 1/ Elimination of Grazing units are included. 2/ Volume in acre-feet-per year. 3/ Peak Flow in cubic feet-per second-per square mile of area. 4./ Sediment yield in tons—per acre-per year. G-2 — ROYAL GORGE ENVIRONMENTAL STATEMENT TABLE G-1 EXPECTED CHANGES IN RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD BY INTENSIVE MANAGEMENT UNIT1/ Unit 5 - Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 11.2 54 . 22 Preferred 11.2 O 54 O .22 O No Action 11.2 O 54 O . 22 O Elimination 11.2 O 54 O .22 O Constraints 11.2 O 54 O • 22 O Non-Intens. 11.2 O 54 O . 22 O Unit 12 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 10.4 49 . 32 Preferred 10.2 -2 49 O • 38 +19 No Action 10.4 O 49 O • 35 +9 Elimination 9.3 - 1 1 44 - 10 • 16 –50 Constraints 10.2 –2 49 O • 38 + 19 Non-Intens • 10.2 –2 49 O . 40 +25 Unit 23 Wol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 2.6 11.5 • 32 No Action 2.6 O 11.5 O .31 –3 Elimination 2. l — 19 9.2 –20 • 18 –44 Constraints 2. l - 19 9. 2 –20 .26 - 19 Unit 23 (Plowed) Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 2.6 11.5 . 38 Long-Term 2. 1 — 19 9, 2 –20 . 36 –5 APPENDICES — G-3 TABLE G-1 EXPECTED CHANGES IN RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD BY INTENSIVE MANAGEMENT UNITl/ Unit 50A Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 25. 1 151 .24 Preferred 25. 1 O 151 O . 24 O No Action 25. 1 O 151 O .24 O Elimination 25. 1 O 151 O .24 O Constraints 25. 1 O 151 O . 24 O Non-Intens. 25. 1 O 151 - O . 24 O Unit 58 Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 10. 7 51 .48 Preferred 10.4 –3 51 O .40 — 1 7 No Action 10. 7 O 51 O . 48 O Elimination 9.8 –8 46 – 10 . 24 –50 Constraints 10.4 –3 51 O .40 – 17 Non-Intens. 10.4 –3 51 O .40 – 17 Unit 61 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 15.0 72 .56 Preferred 14.6 –3 69 –4 .46 - 18 No Action 15.0 O 72 O . 56 O Elimination 13. 8 –8 67 –7 • 29 –48 Constraints 14.6 –3 69 –4 .46 – 18 Non-Intens . 14.6 –3 69 –4 .48 – 14 Unit 66 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 19.2 94 .63 Preferred 19.2 O 93 - 1 .46 –27 No Action 19.2 O 94 O . 68 +8 Elimination 18. 1 –6 88 –6 • 20 –68 Constraints 19.2 O 93 - 1 • 23 –58 G-4 – ROYAL GORGE ENVIRONMENTAL STATEMENT TABLE G-1 EXPECTED CHANGES IN RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD BY INTENSIVE MANAGEMENT UNITl/ Unit 68 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yieldé/ Change Existing 19.2 94 .63 Preferred 19. 2 O 93 – 1 .46 –27 No Action 19. 2 O 94 O .68 +8 Elimination 18. 1 –6 88 –6 . 20 –68 Constraints 19 - 2 O 93 - 1 • 23 –58 Non-Intens. 19.2 O 93 — 1 .48 –24 Unit 75 Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 24.4 1 18 .44 Preferred 24.3 -. 4 118 O .40 –9 No Action 24.4 O 118 O .44 O Elimination 24.2 – 1 116 –2 . 24 –45 Constraints 24.3 -. 4 1 18 O .40 –9 Non-Intens. 24.2 – 1 116 –2 .42 –5 Unit 87 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 20.8 100 . 27 Preferred 20.8 O 100 O . 27 O No Action 20.8 O 100 O . 27 O Elimination 20.8 O 100 O . 27 O Constraints 20.8 O 100 O . 27 O Non-Intens. 20.8 O 100 O . 27 O Unit 91 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 19 - 5 95 . 52 Preferred 19. 1 –2 93 –2 .42 — 19 No Action 19.5 O 95 O .52 O Elimination 17.8 –9 85 – 11 • 18 –65 Constraints 18.9 –3 90 –5 • 18 -65 Non-Intens. 19.5 O 95 O . 52 O APPENDICES — G-5 TABLE G-1 EXPECTED CHANGES IN RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD BY INTENSIVE MANAGEMENT UNIT1/ Unit 95 Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 26.7 128 . 53 Preferred 26.4 - 1 128 O . 40 —25 No Action 26.7 O 128 O . 53 O Elimination 25.6 –4 123 –4 • 18 –66 Constraints 26.4 - 1 128 O .40 —25 Non-Intens. 26.6 - .. 3 128 O .42 –21 Unit 97 Wol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 23.8 116 • 63 Preferred 23.5 - 1 113 –3 . 48 –24 No Action 23.8 O 116 O .63 O Elimination 22.3 –6 108 –7 • 21 -67 Constraints 23.5 - 1 1 13 –3 . 48 –24 Non-Intens. 23.8 O 116 O .50 –21 Unit 99 Wol. Percent Peak Percent Sediment Percent .2 Change cSM3/ Change Yield*/ Change Existing 22.7 1 11 . 48 Preferred 22.6 -- 4 108 –3 .46 –4 No Action 22.7 O 111 O • 52 +8 Elimination 22.2 -2 108 –3 • 20 –58 Constraints 22.2 –2 108 –3 • 20 –58 Non-Intens. 22.6 -. 4 108 -3 .46 -4 Unit 105 Vol. Percent Peak Percent Sediment Percent .2 Change cSM3/ Change Yield*/ Change Existing 19.6 95 • 55 Preferred 19.2 –2 93 –2 .44 –20 No Action 19.6 O 95 O • 58 +5 Elimination 17.8 –9 85 - 11 • 19 –65 Constraints 17.8 –9 85 - 11 • 19 –65 Non-Intens. 19.5 - 1 95 O • 46 – 16 G-6 — ROYAL GORGE ENVIRONMENTAL STATEMENT BY INTENSIVE MANAGEMENT UNIT1/ TABLE G-1 EXPECTED CHANGES IN RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD Unit 126 Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 17. 5 85 . 48 Preferred 16.8 –4 80 –6 . 36 —25 No Action 17. 5 O 85 O . 48 O Elimination 12.6 –28 62 –27 . 18 –63 Constraints 16.8 –4 80 –6 . 36 —25 Non-Intens. 17.2 –2 82 –4 . 36 —25 Unit 128 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 21.9 105 2 .46 O Preferred 21.5 2 103 –2 .31 –33 No Action 21.6 l 103 –2 .46 O Elimination 18.5 16 90 -14 . 18 –61 Constraints 21.6 l 103 –2 . 18 –61 Non-Intens. 21.6 l 103 –2 . 31 –33 Unit 133 Box Canyon Vol. Percent Peak Percent Sediment Percent .2/ Change CSM3/ Change Yield*/ Change Existing 33.8 163 . 40 Preferred 32.8 3 161 - 1 . 31 –23 No Action 33.8 O 163 O .40 O Elimination 27 - 3 19 131 –20 • 16 –60 Constraints 32.8 3 * 16.1 – 1 . 31 –23 Non-Intens. 33.8 O 163 O . 31 –23 Unit 133 Underhill Gulch Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 37.5 217 . 56 Preferred 36.4 3 206 –5 .42 —25 No Action 37.5 O 217 O . 56 O Elimination 29.8 21 148 –32 • 23 –59 Constraints 36.4 3 206 –5 .42 —25 Non-Intens. 36.4 3 206 –5 .42 –25 APPEND|CES — G-7 TABLE G-1 EXPECTED CHANGES IN RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD BY INTENSIVE MANAGEMENT UNITl/ Unit 136 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 30.6 177 .82 Preferred 29. 6 –3 167 –6 . 58 –29 No Action 30.6 O 177 O . 87 +6 Elimination 24.0 –28 1 19 –33 . 24 –71 Constraints 24.0 –28 119 –33 . 24 –71 Non-Intens . 29. 6 –3 167 • —6 . 58 –29 Unit 137 Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 21.8 106 - 68 Preferred 21.2 –3 103 –3 . 48 –29 No Action 21.8 O 106 O . 73 +7 Elimination 17.3 –21 85 –20 . 20 –71 Constraints 17.3 –21 85 –20 . 20 –71 Non-Intens. 21.8 O 106 O . 52 –24 Unit 138 Wol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 20.0 95 . 38 Preferred 19.2 –4 90 –5 . 31 – 18 No Action 20. 0 O 95 O . 38 O Elimination 17.2 – 14 80 – 10 . 16 –58 Constraints 19 - 2 –4 90 —5 . 16 –58 Non-Intens. 19. 2 –4 90 –5 . 30 –21 Unit 138A Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 18.8 90 • 50 Preferred 18.8 O 90 O . 38 –24 No Action 18.8 O 90 O . 50 O Elimination 16.4 — 13 80 – 11 - 20 –60 Constraints 16.4 — 13 80 – 1 1 . 20 –60 Non-Intens. 18.8 O 90 O . 38 –24 G-8 – ROYAL GORGE ENVIRONMENTAL STATEMENT TABLE G-1 EXPECTED CHANGES IN RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD BY INTENSIVE MANAGEMENT UNITl/ Unit 139 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 19.9 95 . 53 Preferred 19 - 5 –2 95 O . 40 —25 No Action 19.9 O 95 O . 56 +6 Elimination 17. 5 – 12 85 – 11 . 17 –68 Constraints 19 - 5 –2 95 O . 40 —25 Non-Intens. 19. 6 –2 95 O .42 –21 Unit 140 Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 21.5 103 .44 Preferred 21.2 – 1 103 O . 44 O No Action 21.5 O 103 O .48 +9 Elimination 20.0 –7 98 –5 . 20 –55 Constraints 21.2 – 1 103 O .44 O Non-Intens. 21.3 – 1 103 O .46 +5 Unit 141 Helena Pasture, Sunnyside, and Red Mountain Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 26.2 126 • 68 O Preferred 26. 1 – 1 126 O • 50 –26 No Action 26.2 O 126 O . 73 +7 Elimination 25.9 - 1 126 O - 22 –68 Constraints 26. 1 – F 126 O .22 –68 Non-Intens. 26.2 O 126 O . 52 –24 Unit 141 Garlin Gulch, Red Ridge Wol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 26.2 126 .68 Preferred 26. 1 .03 126 O - 50 -26 No Action 26.2 O 126 O • 73 +7 Elimination 25.9 — . 03 126 O . 22 –68 Constraints 26. 1 — . 03 126 O . 22 –68 Non-Intens. 26.2 O 126 O . 52 –24 APPENDICES — G-9 Unit 141 Garden Park Gulch EXPECTED CHANGES IN RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD TABLE G-1 BY INTENSIVE MANAGEMENT UNITl/ Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 26. 3 62 . 60 Preferred 26. 3 O 62 O .44 –27 No Action 26. 3 O 62 O . 65 +8 Elimination 26.0 – 1 62 O • 20 –67 Constraints 26. 3 O 62 O . 20 –67 Non-Intens. 26. 3 O 62 • O .46 –23 Unit 142 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 19. 3 O 93 • 60 Preferred 18.8 –3 90 –3 .42 –30 No Action 19. 3 O 93 O . 65 +8 Elimination 17.2 – 11 82 – 12 . 18 –70 Constraints 18.8 –3 90 –3 .42 –30 Non-Intens. 19. 3 O 93 O .42 –30 Unit 143 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 12.2 59 . 58 Preferred 12.2 O 59 O .42 –28 No Action 12.2 O 59 O .63 +9 Elimination 9 - 3 –24 44 —25 . 17 –71 Constraints 9. 3 –24 44 —25 . 17 –71 Non-Intens. 12.2 O 59 O . 44 –24 Unit 143A Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 28.6 154 ... 79 Preferred 22.8 –24 1 11 –28 .44 –44 No Action 28.6 O 154 O . 85 +8 Elimination 22.8 –24 1 11 –28 . 22 –72 Constraints 22.8 –24 1 11 –28 . 22 –72 Non-Intens. 28.6 O 154 O . 55 -30 G-10 – ROYAL GORGE ENVIRONMENTAL STATEMENT e FXPECTED CHANGES IN RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD TABLE G-1 BY INTENSIVE MANAGEMENT UNIT1/ Unit 144 Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 25.0 155 . 38 Preferred 25.0 O 155 O . 38 O No Action 25. O O 155 O . 38 O Elimination 25 - 0 O 155 O . 38 O Constraints 25.0 O 155 O . 38 O Non-Intens. 25 - O O 155 O . 38 O Unit 146 Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 19.6 95 .63 Preferred 19.4 – 1 93 –2 .44 –30 No Action 19.6 O 95 O . 68 +8 Elimination 19.0 –3 93 –2 . 20 –68 Constraints 19.0 –3 93 –2 . 20 –68 Non-Intens. 19.6 O 95 O .48 –24 Unit 147 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 26.6 141 - 68 Preferred 26.0 –2 138 –2 . 60 – 12 No Action 26.6 O 141 O . 73 +7 Elimination 22.4 — 16 108 –23 .26 –62 Constraints 26.0 –2 138 –2 . 26 –62 Non-Intens. 26. 1 –2 138 –2 • 60 – 12 Unit 148 Wol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 38. 3 223 ... 79 Preferred 37 - 2 –3 217 –3 • 58 –27 No Action 38. 3 O 223 O . 85 +8 Elimination 32.8 – 12 176 –22 .24 –70 Constraints 32.8 - 12 176 –22 .24 –70 Non-Intens. 38. 3 O 223 O • 58 –27 APPENDICES — G-11 EXPECTED CHANGES IN RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD TABLE G-1 BY INTENSIVE MANAGEMENT UNITl/ Unit 148A Wol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 34. 1 204 .95 Preferred 28 - 5 — 16 153 –25 . 55 –42 No Action 34. 1 O 204 O 1.0 +5 Elimination 28 - 5 — 16 153 —25 • 27 –72 Constraints 28.5 — 16 153 —25 . 27 –72 Non-Intens. 34. 1 O 204 O . 65 –32 Unit 149 Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 21.3 103 .56 Preferred 21.0 – 1 100 –3 .42 —25 No Action 21 .. 3 O 103 O • 60 +7 Elimination 17 - 5 – 18 85 – 17 . 19 –66 Constraints 21.0 – 1 100 –3 . 19 –66 Non-Intens. 21.3 O 103 O .44 –21 Unit 150 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 19 - 8. 95 . 56 Preferred 19 - O –4 93 –2 .42 —25 No Action 19 - 8 O 95 O . 60 +7 Elimination 16.3 –21 80 – 16 . 18 –68 Constraints 16. 3 –21 80 – 16 . 36 –36 Non-Intens. 19 - O –4 93 –2 .42 —25 Unit 156 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 19. 1 93 .56 Preferred 18.5 –3 90 –3 .44 –21 No Action 19. 1 O 93 O • 60 +7 Elimination 16.3 – 15 80 -14 . 18 –68 Constraints 16.3 – 15 8O - 14 . 18 –68 Non-Intens. 18.5 –3 90 –3 .44 –21 G-12 — ROYAL GORGE ENVIRONMENTAL STATEMENT EXPECTED CHANGES IN RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD TABLE G-1 BY INTENSIVE MANAGEMENT UNITl/ Unit 158 Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 13.6 64 . 55 Preferred 13. 1 –4 64 O .40 –27 No Action 13.6 O 64 O . 58 +5 Elimination 11.3 – 17 54 — 16 . 16 –71 Constraints 13. 1 –4 64 O . 16 –71 Non-Intens. 13.2 –3 64 O . 40 –27 Unit 166 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 18.5 90 .40 Preferred 18. 3 – 1 87 –3 . 34 -15 No Action 18.5 O 90 O .44 +10 Elimination 17.2 –7 82 –9 . 16 –60 Constraints 17.2 –7 82 –9 . 76 –60 Non-Intens. 18.5 O 90 O . 34 – 15 Unit 167 - Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 29. 6 141 . 36 Preferred 29.3 – 1 141 O . 32 – 11 No Action 29.6 O 141 O . 38 +6 Elimination 28.8 –3 76 –46 . 16 –56 Constraints 28.8 -3 76 –46 . 16 –56 Non-Intens. 29.4 - 1 141 O . 34 –6 Unit 168 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 28.8 139 .40 Preferred 28.8 O 139 O • 35 — 13 No Action 28.8 O 139 O .42 +5 Elimination 28.8 O 139 O . 18 –55 Constraints 28.8 O 139 O • 18 –55 Non-Intens. 28.8 O 139 O . 38 –5 APPENDICES – G-13 EXPECTED CHANGES IN RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD TABLE G-1 BY INTENSIVE MANAGEMENT UNITl/ Unit 169 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 21.3 112 • 50 Preferred 20.8 –7 109 –3 . 36 –28 No Action 21.3 O 1 12 O . 53 +6 Elimination 19.4 –9 101 – 10 . 18 –64 Constraints 20.8 –7 109 –3 • 20 –60 Non-Intens. 20.8 –7 109 –3 . 38 –24 Unit 170 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 16.7 80 .40 Preferred 16.3 –2 80 O . 34 - 15 No Action 16. 7 O 80 O .42 +5 Elimination 14.8 - 1 1 72 O . 16 –60 Constraints 16.3 -2 80 O . 34 - 15 Non-Intens. 16.6 - 1 80 O • 36 – 10 Unit 171 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 19.2 93 . 52 Preferred 18.9 –2 90 –3 • 36 –31 No Action 19.2 O 93 O • 55 +6 Elimination 17.6 –8 85 –9 • 18 -65 Constraints 17.6 -8 85 -9 • 18 –65 Non-Intens. 18.9 -2 90 -3. • 38 –27 Unit 172 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 19.9 95 .44 Preferred 19.8 - 1 95 O • 36 – 18 No Action 19 - 9 O 95 O . 48 9 Elimination 19.4 –3 93 –2 - 18 –59 Constraints 19.4 –3 93 –2 - 18 –59 Non-Intens. 19.9 O 95 O • 38 -14 G-14 – ROYAL GORGE ENVIRONMENTAL STATEMENT TABLE G-1 EXPECTED CHANGES IN RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD BY INTENSIVE MANAGEMENT UNITl/ Unit 172 (Thinned) Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 22.4 108 .44 Short-Term 26.7 + 19.2 129 +19. 4 .47 +6.8 Long-Term 26.7 + 19.2 129 +19. 4 . 47 +6.8 Unit 173 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 18.5 90 .52 Preferred 18. 3 – 1 87 –3 • 38 –27 No Action 18.5 O 90 O . 55 +6 Elimination 17.2 –7 82 –9 . 18 –65 Constraints 17.2 –7 82 –9 . 32 –38 Non-Intens. 18.5 O 90 O . 38 –27 Unit 187 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 18.7 90 - 53 Preferred 18.2 –3 87 –3 . 40 —25 No Action 18 - 7 O 90 O • 56 +6 Elimination 16. 1 – 14 77 – 14 • 20 –62 Constraints 16. 1 – 14 77 – 14 • 20 –62 Non-Intens. 18.5 – 1 90 O - 40 —25 Unit 188 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 15. 3 75 .48 Preferred 13.4 – 12 64 – 15 . 28 –42 No Action 15. 3 O 75 O .52 +8 Elimination 13.4 – 12 64 – 15 . 16 –67 Constraints 13.4 – 12 64 – 15 . 16 –67 Non-Intens. 15. 3 O 75 O . 34 –29 APPENDICES — G-15 TABLE G-1 EXPECTED CHANGES IN RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD BY INTENSIVE MANAGEMENT UNIT1/ Unit 189 Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 29.8 157 . 56 Preferred 29. 6 - 1 153 –3 . 40 –29 No Action 29.8 O 157 O . 60 +7 Elimination 27. 1 –9 131 – 17 • 20 –64 Constraints 27. 1 –9 131 – 17 . 20 –64 Non-Intens. 29.8 O 158 +1 .40 –29 Unit 190 Vol. Percent Peak Percent Sediment Percent .2/ Change cSM3/ Change Yield*/ Change Existing 15. 1 72 .53 Preferred 14.7 –3 72 O . 40 —25 No Action 15. 1 O 72 O .56 +6 Elimination 13. 3 – 12 64 – 11 . 20 –62 Constraints 13. 3 – 12 64 — 1 1 . 20 –62 Non-Intens. 15. O – 1 72 O . 40 —25 Unit 190A Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 16.5 80 . 21 Preferred 16.5 O 80 O .21 O No Action 16.5 O 80 O . 21 O Elimination 16.5 O 80 O • 21 O Constraints 16.5 O 80 O • 21 O Non-Intens. 16.5 O 80 O • 21 O Unit 191 © Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 17.8 85 .44 Preferred 17.3 –3 83 –2 . 38 -14 No Action 17.8 O 85 O .48 +9 Elimination 15.8 – 11 77 –9 . 18 –59 Constraints 15.8 - 1 1 77 –9 . 18 –59 Non-Intens. 17.6 – 1 85 O • 38 – 14 G-16 — ROYAL GORGE ENVIRONMENTAL STATEMENT TABLE G-1 EXPECTED CHANGES IN RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD BY INTENSIVE MANAGEMENT UNITl/ Unit 192 Echo Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 14.9 73 . 40 Preferred 14.9 O 73 O . 34 — 15 No Action 14.9 O 73 O .44 +10 Elimination 13.6 –9 65 — 1 1 . 17 –58 Constraints 13.6 –9 65 – 11 • 19 –53 Non-Intens. 14.9 O 73 O . 34 — 15 Unit 192 Hindman Gulch Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 14.9 78 . 53 Preferred 14.9 O 78 O . 40 —25 No Action 14.9 O 78 O . 60 +13 Flimination 13.6 –9 70 – 10 . 18 –66 Constraints 13.6 –9 70 - 10 . 20 –62 Non-Intens. 14.9 O 78 O .40 —25 Unit 193 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 21.6 105 .40 Preferred 21. 1 –2 100 –5 . 34 – 15 No Action 21.6 O 105 O .44 +10 Elimination 19.6 –9 95 - 10 . 17 –58 Constraints 21.1 -2 100 –5 . 34 –5 Non-Intens. 21.6 O 105 O . 38 — 15 Unit 194 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 25.6 124 . 48 Preferred 25.6 O 124 O • 35 –27 No Action 25.6 O 124 O • 52 +8 Elimination 25.6 O 124 O • 18 –63 Constraints 25.6 O 124 O • 31 –35 Non-Intens. 25.6 O 124 O • 35 –27 APPENDICES — G-17 TABLE G-1 EXPECTED CHANGES IN RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD BY INTENSIVE MANAGEMENT UNITl/ Unit 196 Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 21.2 103 . 48 Preferred 21.2 O 103 O . 34 • 29 No Action 21.2 O 103 O . 52 +8 Elimination 20. 1 –5 98 –5 . 16 –67 Constraints 20. 1 –5 98 –5 • 16 –67 Non-Intens. 21.2 O 103 O . 26 –46 Unit 197 Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 19. 1 93 .46 Preferred 18.7 –2 90 –3 • 35 –24 No Action 19. 1 O 93 O . 50 +9 Elimination 17.2 – 10 82 – 12 . 17 –63 Constraints 18.7 –2 90 –3 • 35 –24 Non-Intens. 18.8 –2 90 –3 . 38 – 17 Unit 197 (Thinned) Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 30. 9 164 • 50 Short-Term 33. 1 193 . 38 –24 Long-Term 33. 1 193 . 38 –24 Unit 198 Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 4.1.8 250 .56 Preferred 41.7 - .. 2 250 O . 40 –29 No Action 4.1.8 O 250 O • 60 +7 Elimination 40.0 –4 221 – 12 .21 –63 Constraints 41.7 - .. 2 250 O .40 –29 Non-Intens. 4.1.8 O 250 O .42 —25 G-18 – ROYAL GORGE ENVIRONMENTAL STATEMENT EXPECTED CHANGES IN RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD TABLE G-1 BY INTENSIVE MANAGEMENT UNIT1/ Unit 1.99 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 38.9 234 . 58 Preferred 38. 6 – 1 220 –6 . 50 – 14 No Action 38.9 O 234 O .63 +9 Elimination 37. 3 –4 199 — 15 . 21 –64 Constraints 38. 6 – 1 220 –6 • 50 – 14 Non-Intens. 38.9 O 234 O . 52 - 10 Unit 200 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 44.3 278 . 75 Preferred 44.0 – 1 278 O .48 –36 No Action 44.3 O 278 O - 70 –7 Elimination 42.2 –5 243 – 13 • 20 –73 Constraints 44.0 - 1 278 O . 48 –36 Non-Intens. 43.2 –2 255 –8 .48 –36 Unit 202 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 42.5 252 .56 Preferred 42.4 - .. 2 252 O .40 –29 No Action 42.5 O 252 O • 53 —5 Elimination 41 - 1 –3 225 — 1 1 • 18 –68 Constraints 4.1. 1 –3 225 – 11 . 36 –36 Non-Intens. 42.5 O 252 O .42 —25 Unit 204 Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 46.5 267 . 68 Preferred 46.4 -. 2 261 –2 .40 –41 No Action 46.5 O 267 O . 63 –7 Elimination 46. 1 – 1 237 — 1 1 . 18 –74 Constraints 46.4 - .. 2 261 –2 . 40 –41 Non-Intens. 46.5 O 267 O .42 –38 APPENDICES — G-19 TABLE G-1 EXPECTED CHANGES IN RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD BY INTENSIVE MANAGEMENT UNITl/ Unit 216 Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 15. 1 72 - 68 Preferred 14.9 – 1 72 O • 46 –32 No Action 15. 1 O 72 O . 63 –7 Elimination 12.6 – 17 62 – 14 • 19 –72 Constraints 14.9 – 1 72 O . 23 –66 Non-Intens. 15. 1 O 72 O .46 –32 Unit 217 Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 22. 3 1 16 .82 Preferred 21.0 –6 104 – 10 • 52 –37 No Action 22.3 O 116 O . 75 –9 Elimination 17.4 –22 85 –27 .20 –76 Constraints. 21.0 –6 104 – 10 . 52 –37 Non-Intens. 21.7 –3 1 13 –3 . 55 –33 Unit 220 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 17.6 100 . 34 Preferred 17.6 O 100 O . 34 O No Action 17. 6 O 100 O . 34 O Elimination 17.6 O 100 O . 34 O Constraints 17. 6 O 100 O . 34 O Non-Intens . 17.6 O 100 O . 34 O Unit 222 Vol. Percent Peak Percent Sediment Percent .2/ Change CSM3/ Change Yield*/ Change Existing 49.8 392 - 82 Preferred 49.8 O 392 O . 58 –29 No Action 49.8 O 392 O . 87 +6 Elimination 4.7. 9 –4 371 –5 . 26 –68 Constraints 4.7. 9 –4 371 –5 .26 –68 Non-Intens. 49.8 O 392 O . 58 –29 G-20 – ROYAL GORGE ENVIRONMENTAL STATEMENT EXPECTED CHANGES IN RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD TABLE G-1 BY INTENSIVE MANAGEMENT UNITl/ Unit 223 Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 20. 7 100 ... 79 Preferred 20. 7 O 100 O . 36 –54 No Action 20. 7 O 100 O .91 + 1.5 Elimination 19 - 2 –7 93 –7 . 26 –67 Constraints 19. 2 –7 93 –7 . 26 –67 Non-Intens. 20. 7 O 100 O . 36 –54 Unit 224 Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 23.9 116 . 73 Preferred 23.8 -. 4 116 O . 50 –32 No Action 23.9 O 116 O . 85 +1.6 Elimination 22.6 –5 108 –7 . 24 –67 Constraints 22.6 –5 108 –7 .46 –37 Non-Intens. 23.9 O 116 O . 50 –32 Unit 225 Vol. Percent Peak Percent Sediment Percent AF.2/ Change CSM3/ Change Yield*/ Change Existing 22.9 1 11 . 65 Preferred 22.6 – 1 108 –3 .46 –29 No Action 22.9 O 1 11 O . 75 +15 Elimination 21.8 —5 105 –5 • 23 –65 Constraints 21.8 –5 105 –5 • 23 –65 Non-Intens. 22.9 O 1 11 O . 48 –26 Unit 227 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 16.0 78 . 58 Preferred 15. 7 –2 75 –4 .44 –24 No Action 16.0 O 78 O .68 +17 Elimination 14.6 –9 70 – 10 • 21 –64 Constraints 14.6 –9 70 – 10 • 22 –62 Non-Intens. 16.0 O 78 O .48 – 17 APPENDICES — G-21 Unit 227 (Burned) EXPECTED CHANGES IN RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD TABLE G-1 BY INTENSIVE MANAGEMENT UNIT!/ Vol. Percent Peak Percent Sediment Percent .2/ Change CSM3/ Change Yield*/ Change Existing 17.3 83 • 58 Short Term 26.3 +52 147 +77 ... 79 +36 Long Term 22.9 +32 112 +35 . 48 -17 Unit 229 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 18.4 90 . 73 Preferred 17.2 –7 82 –9 • 30 –59 No Action 18.4 O 90 O • 85 +1.6 Elimination 17.2 –7 82 –9 • 21 –71 Constraints 17.2 –7 82 –9 • 23 –68 Non-Intens. 18.4 O 90 O . 34 –53 Unit 230 Granite Wol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 8. 1 38 • 36 Preferred 7.7 –5 36 –5 • 32 - 11 No Action 8. 1 O 38 O .40 +1 1 Elimination 6.9 - 15 33 - 13 . 16 –56 Constraints 7.7 –5 36 –5 • 32 – 11 Non-Intens. 8. 1 O 39 +3 .32 – 11 Unit 230 Canyon Creek Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 8.7 41 . 38 Preferred 8.2 –6 39 –5 • 35 –8 No Action 8.7 O 41 O .44 +1.6 Elimination 7.3 — 16 36 – 12 . 17 –55 Constraints 8.2 –6 39 –5 • 35 –8 Non-Intens. 8.7 O 41 O • 35 –8 G-22 – ROYAL GORGE ENVIRONMENTAL STATEMENT EXPECTED CHANGES IN RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD TABLE G-1 BY INTENSIVE MANAGEMENT UNITl/ Unit 231 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 12.9 62 . 55 Preferred 12. 3 –5 59 –5 . 36 –35 No Action 12.9 O 62 O .63 + 1.5 Elimination 11.2 – 13 54 — 13 . 17 –69 Constraints 12.3 –5 59 –5 • 36 –35 Non-Intens. 12.8 - 1 62 O • 38 –31 Unit 233 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing l 1.9 57 • 31 Preferred 11.6 –3 57 O . 34 +10 No Action 11.9 O 57 O • 36 +1.6 Elimination 11.2 –6 54 –5 . 16 –48 Constraints 11.6 –3 57 O • 18 -42 Non-Intens. 11.7 –2 57 O . 34 +10 Unit 237 Vol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3 Change Yield*/ Change Existing 19 - 5 95 - 70 Preferred 19.0 –3 93 –2 .48 –31 No Action 19.6 +1 95 O • 85 +21 Elimination 17.2 – 12 82 -14 .22 –69 Constraints 19.0 –3 93 –2 .26 –63 Non-Intens. 19.0 –3 93 –2 .48 –31 Unit 238 Vol. Percent Peak Percent Sediment Percent AF.2 Change cSM3/ Change Yield*/ Change Existing 30.5 165 . 73 Preferred 30.5 O 1.65 O • 50 –32 No Action 30.5 O 1.65 O .85 +1.6 Elimination 28.2 –8 145 - 12 . 24 –67 Constraints 28.2 –8 145 – 12 .24 –67 Non-Intens. 30.5 O 1.65 O • 50 –32 APPENDICES — G-23 EXPECTED CHANGES IN TABLE G-1 RUNOFF VOLUMES, PEAK FLOW, AND SEDIMENT YIELD By INTENSIVE MANAGEMENT UNITl/ Unit 243 Wol. Percent Peak Percent Sediment Percent AF.2/ Change cSM3/ Change Yield*/ Change Existing 19.4 93 • 73 Preferred 19.3 - 1 93 O • 50 –32 No Action 19.4 O 93 O • 85 +1.6 Elimination 18.2 -6 87 -6 .24 –67 Constraints 18.2 -6 87 –6 • 24 –67 Non-Intens. 19.4 O 93 O • 50 –32 Elimination of Grazing units are included. 2/ volume in acre-feet-per year. 3/ Peak Flow in cubic feet-per second-per square mile of area. 4./ Sediment yield in tons-per acre-per year. TABLE G-1 (Summary) SUMMARY OF RUNOFF VOLUME, PEAK FLOW, SEDIMENT YIELD FROM 77 INTENSIVE MANAGEMENT UNITS AND TOTAL SEDIMENT ENTERING THE ARKANSAS RIVER ABOVE PORTLAND, COLORADO Runoff Percent Peak Percent Sediment Percent Sediment Percent Alternative volumel. Change Flow2/ Change Yield 3/ Change Introduction* Change Existing Situation 22.23 * † 112.92 gº º 1. 55 tº- 1 - 90 º- > Preferred 21.66 –3 109. 12 –3 1. 16 –25 1. 72 –9 No Action 22.22 O 112.87 O 1.64 6 1.90 O Elimination 20. 10 -10 97.87 –13 .54 –65 1.49 –22 Constraints 20.98 –6 103.89 –8 .82 –47 1.62 -15 Non-Intens. 22.06 -1 111. 67 -1 1. 19 –23 1. 73 –9 1/ Average volume of water yielded per square mile of drainage from a 10-year, 6-hour storm in acre-feet on 77 intensive management units. 2/ Average peak flow in cubic feet-per second-per square mile of drainage from a 10-year storm on 77 intensive management units. 3/ Average sediment yield in tons-per acre-per year on 77 intensive management units. */ Tons of sediment entering the Arkansas River annually (millions) above Portland, Colorado G-24 – ROYAL GORGE ENVIRONMENTAL STATEMENT TABLE G-2 SEDIMENT YIELD CLASSIFICATION TABLE In Sediment. Yield– P Classification Rating Ac. Ft. / Sq. Mi Tons/Acre Extreme 1 00 >3.0 <8.7 Heavy 75–99 1.0-2.99 2.9-8. 7 Moderate 50–71, 0.5–0.99 1. 1,5–2.89 Slight Negligible 25–119 0.2–0. 119 0.58–1. l. l; 0–21, K0.2 K0.58 Source: BLM Manual 7317 – EROSION —’ GENERAL INSTRUCTIONS characteristics to which full value may be assigned. District Office prepares one copy for District file. Interpolation between the sediment yield levels may be U.S. DEPARTMENT OF THE INTERIOR made. High values for columns (a) through (g) should BUREAU OF LAND MANAGEMENT SPECIFIC INSTRUCTIONS correspond to high values for (h) and (i). If they do not, factors (a) through (g) should be reevaluated. If they (Items not listed are self-explanatory) º & - sEDIMENT YIELD FACTOR RATING f-exp • do not correspond, then a special erosion condi- SOILS CLIMATE RUNOFF TOPOGRAPHY * - - - - tion exists. were: groº (b) (c) (d) (e) Numbers indicate values assigned appropriate charac- tº - - - * - - teristics. Letters a, b, c, and d refer to independent Convert Total Rating to sediment yield by use of graph. (10) (10) (10) (10) (20) —º a. Marine shales and re- a. Fine textured, e as 1- |a. Storms of several a. High peak flows per a. Steep upland slopes lated mudstones and ly dispersed, saline- days’ duration with unit are a (1 n excess of 30° - ) |O.O siltstones alkaline; high shrink- short periods of in- b. Large volume of flow . b. High relief, little or swell characteristics tense rainfall per unit are a no floodplain devel- 9.O b. Single grain silts and Ib. Frequent intense con- opment 8.O fine sands vective storms c. Freeze-thaw {}^ Cu f- 7.O rence (5) (5) (5) (5) (10) 6.O a. Rocks of medium | a. Medium textured soil |a. Storms of moderatel a. Moderate peak flows | a. Moderate upland hardness b. Occasional rock frag- duration and intensity per unit area slopes (less than 20%) 5. O b. Moderately weathered rn ent S b. Infrequent convective|b. Moderate volume of b. Moderate f an or flood- \ c. Moderately fractured c. Caliche layers $t Orms flow per unit are a plain development 4.O • * & (0) (0) (0) (0) (0) 5. a. Massive, hard form a- a. High percent age of |a. Humid climate with a. Low peak flows per a. Gentle upland slopes : 3.0 ! I on S rock fragments rainfall of low inten- unit are a (less than 5%) or " b. Aggregated clays sity b. Low volume of runoff b. Extensive alluvial Ch. c. High in organic matter |b. Precipitation in form per unit area plains Cº. of snow c. Rare runoff events E c. And climate, low in- tensity storms sº 2.O d. Arid climate, rare g C Onvect 1 v e s to frns cy (ſ) r * | Factor @ i value | CA. º } LAND USE t CHANNEL EROSION AND Q9 GROUND COVER U PLAND EROSION SE DIMENT TRANSPORT * Q9 ( ( ) (g) (h) (1) 5 |.. O (10) (10) (25) (25) P O.9 Ground cover does not ex- a. More than 50°, cultivated a. More than 50°. of the a. Eroding banks continu- x2 O.8 ceed 20°. b. Almost all of area 1 nt tº n- are a characterized by r ill ously or at frequent in- sº O.7 a. Vegetation sparse, little sively grazed and gully or landslide tervals with large depths > U. or no l i t t er c. All of are a recently e ros. 1 on and long flow duration º: t b. No rock in surface soil burned b. Active he adcuts and de- Q9 O.6 gradation in tributary E channels to O.5 § (0) (0) (10) (10) vº ſ Cover not exceeding 40 . a. Less than 25°, cultivated as About 25° of the are a a. Moderate flow depths, Se O.4 | a. Not i ce able litter b. 50°. , or less recently characterized by rill and medium ſlow duration É b. If trees present under- logged gully or landslide erosion with occasionally eroding * - story not well developed c. Less than 50 c intensive- b. Wind erosion with depo- banks or bed 7, O.3 ly grazed s it ion in stream channels Lal d. Ordinary road and other C On 5 tru C ( 1 On (-10) ( – 10) (0) (O) O.2 a. Area completely protect - a. No cult i v at lon a. No apparent signs of 2. Wide shallow channels | ed by vegetation, rock b. No recent logging erosion with flat gradients and fragments, litter c. Low intensity grazing short flow duration | b. Little opport unity for b. Channels lſº fºr as sive - ra infall to reach erodible rock, large boulders, or material well vegetated c. Art ificially controlled channels O. I l Factor 3. value e g & ! TOTAL Sediment Yield Roting Foctor Subtotal (a) — (g) | Subtotal (h) — (1) – * . | - RATING – — — — — — . — a c. ft. ." sq. mi. 7 yr. { | n s fºr la ( t t t , n 5 ri y rr tº r s a Form 73 10–16 (July 1971) G Po ** APPENDICES -k, H-1 l .l. Pref The long-term impacts on big game habitat for the Management Constraints erred APPENDIX H # I "*cts on Big Game Habitat Alternative, Alternative, and the Nonintensive Alternative are shown in Tables H-1, H-2, and H-3, respectively. Estimates were made by BLM wildlife biologists, who considered among other things type of management facility proposed, size of vegetative treatment, the anticipated reduction in livestock use, proposed In Some cases, estimates of impacts were not made. Since there would be no changes in livestock management under No Action, no impacts on big game habitat would occur. Elimination of Grazing would provide neither additional forage nor water to big game habitat. period of livestock use, and condition of big game habitat within each management unit. TABLE H-1 ANTICIPATED LONG-TERM IMPACTS OF THE PREFERRED ALTERNATIVE ON BIG GAME HABITAT Management 1/ Mule Deer (Acres)2/ Elk (Acres) Bighorn Sheep (Acres) Units Degraded unchanged?/Improved Degraded Unchanged Improved l2 e-e tº & e 3,271, G- E - 2,671, 600 tº gº gº º {-, -º 23 100 l,540 e- tº & eº- l, 140 160 g-º º tº e e-º º 58 • * * * l,280 t- tº e Cº-e wº g-> * > cº- tº tº º tº e - • * -º 6l cº-º º 8,738 * - e ſº-, -e 5,738 3,000 & e-º º tº º 66 º º gº tº 3,338 * -e cº- 3,238 100 {- tº tº-e sº « º gº tº 68 tº e º e * - tº 2,512 {-º º 2,512 * - ſº tºº * - e tº £ tº 75 l,292 l,500 gº tº G- --> tº-e wº tº e º E tº ºt g-º º tº º e 91 tº e --> 1,32 tº e tº º l!32 º tº º tº º tº tº e º 95 º l,013 tº º tº cº-e tº-º º e-º º * - tº tº gº tº e º 'º 96 tº e º e ll;3 * - I - tº- tº e tº º {-e ‘I'- tº º tº-e ‘º gº tº 97 tº-e 5,026 300 tº tº tº º tº º tº º &= - tº º 98 • - 6110 tº $ tº * - ſº- tº G- E - tº e tº º gº tº 99 tº e º 'º 1,805 500 gº º º tº-e ‘º- tº ºp tº º- tº º º tº- tº- 100 e-º- l,538 * - º * e gº tº tº º tº º 538 l,000 105 2,268 tº- tº * - tº a § - tº º ſº º tº º ę tº e g- > --> ll 7 20 l,539 * - º * > * > & º º g-e e 20 l,519 gº tº ll3 * - tº e 2,682 * - Cº- gº º 2,682 * > . . . cº-e e 2,682 tº e º º l26 tº e i º 6,676 tº gº g-º tº cº-e wº * - sº tº e º 'º 6,000 676 127 10 1,545 l,200 tº sº. 3 tº º tº 10 5, 145 cº-e sº 128 * - e 2,372 l,000 tº tº gº tº tº-e wº {- tº tº tº tº º l33 * - Lº 1,949 1,280 e- tº e cº-º º tº º tº º g-º gº * -e gº l31, tº e º 'º 21:0 gº º gº º * > t > * … tº tº $º º * > * > l36 * * * * l, 1,22 * - tº cº-º º & º * - tº- tº-e ‘º º º tº e 137 * e l,587 gº º e- - tº-º º is tº tº o tº tº tº e º º tº e º 'º l38 º º 14,635 1,000 gº tº tº-e ‘º tº tº º tº tº e 15,635 e-º º l:39 g- > - 337 gº tº tº º- tº º º E tº cº-e wº 337 <- E-e ll;0 gº º º 5,188 * - I - g-e F- tº e º 'º tº tº tº e º ſº 5, 188 tº º ll, l tº gº 1,272 2,000 gº º tº º tº Lº gº tº º 6,272 gº tº ll!2 * - e 2,227 l,500 tº tº * > * > * : * > cº- tº tº gº tº gº ll;3 tº º 697 e-et-s tº tº º tº e º e tº sº º tº e º Le tº º tº-e ºs ll,6 tº-e ‘E l,072 g-e F- º º “Exe E tº sº tº e º º tº º tº-e sº ll;7 6,580 gº tº * - º tº tº tº - E - tº . E º tº e º 'º tº º º tº e º 'º ll,8 * - Gº l,009 tº tº gº tº « tº E tº tº e tº-º º tº º- tº º- ll.9 & 5,313 2,000 tº tº # tº tº º sº e tº * - tº * - sº 150 tº º * - 2, 1,76 tº º tº e º o * e i º º gº * - tº * - cº- 155 { º e l, 178 l,800 e-º º gº tº * tº tº º tº cº- 156 tº tº e- tº l, 101 cº º tº e º 'º &= - • º tº tº tº-e sº 158 ( * { …} 2,918 600 * * * * * > * > tº tº & Lº º e- º tº ſº º l65 tº º l,348 200 * . . . l,548 tº e º º tº º tº tº &= -º l66 º- tº- 2,043 l;0 tº 2,083 tº e tº cº- tº-º º gº tº tº l67 tº 957 tº e tº º 95.7 tº-e tº tº e º 'º' º º tº- tº 168 tº tº l,031 gº º- tº º e 831 200 * -º cº- tº gº { . . . . 169 gº tº 2, 101 l,00 tº e º {- tº º 2,501 tº dº º < * - tº 170 tº- tº l, 310 º tº l, 310 tº 2 tº º tº lº tº gº &= g- 171 gº tº 253 tº e º 'º * - I - & e tº-º º tº º tº º * - sº 172 tº - 827 gº tº gº tº eº e º º gº tº tº º tº-ºº º tº º ſº tº l?3 gº º 919 { * tº tº º 919 tº gº tº tº º tº gº tº-e wº 177 * º ſº º 630 tº º * > * > tº tº-e wº tº tº e tº º tº gº 187 tº- tº º l, 223 l,000 tº e º º tº º * - sº tº cº- gº tº § 2 - e. 189 tº-º-º: 86l 2,000 gº º- tº tº e § - tº- tº º- a º º gº tº 190 e- tº 1,969 1,000 gº tº g- > E. tº-e sº wº- º 5,969 º- tº l91 g- tº 1,687 2,000 tº e º º 6,687 * - tº tº tº º 6,687 * EP 192 gº tº 22,652 l,000 tº e º e tº e - e. tº-º º -- 26,652 tº- tº º l93 g- || > ll, 228 1,020 gº º- tº º * - ſº e tº º tº- tº- tº- ºr- l93A e-e G- 195 e-º º tº e = e * - º & º tº gº tº º tº gº 191, tº - 2, l?2 320 gº tº * -º º e- tº tº º tº º tº tº 195 tº 685 • tº º tº tº e tº- tº tº-e sº- tº_º - > l96 tº-e e 278 tº-º º tº º e * > *- : cº º & Tº tº tº º § - nº 197 30 33,036 5,050 -- 37,636 l,80 & tº tº Gº º 198 tº 8, 1,60 gº tº tº e 8, 1,60 * - L. e. tº º º º *-* Gºº 199 gº º 9,838 tº- tº- tº tº tº tº e § 2 ºr e cº-e ºs 9,838 * > . . . 200 * - « » l 9 159 * - * > t > g- tº tº-ºº-e e- tº tº e tº- tº- 202 gº tº º 5,285 º º tº cº-e tº e º 'º tº ºne sº º tº tº * - tº 201; tº is 6,015 l,00 tº º 6, 1,15 tº sº º tº e tº e cº-e tº e 213 tº e º 'º 551 100 tº E- 65l º gº tº º gº tº gº tº 216 ( > 0 º 5, 171, 100 tº e. 5,271, gº tº gº tº tº º & tº º 217 tº-º º 2,886 l!00 t-e º 3, 186 100 & Lº e- º gº tº e 222 gº- 3, 161, tº c = } tº º ſº º tº sº- º º tº º- tº tº gº º- 22l, tº º 3,791 l, 1,20 tº e º 'º $º º tº e º º ( ; ; º g-e īe tº º 225 tº º 925 tº- tº- cº-e ºs tº º * > t > º tº º ºs g-º º º 227 tº- º 1,961, 1,000 « e gº tº { * ~ * tº º * † º tº gº 230 tº º 3,579 200 l,000 2,579 tº º tº cº-e & e tº tº 231 g- tº l,075 3,700 * - sº & tº º tº º tº gº cº º & º 233 200 881, tº º *E* sº l,081, * > g.º.º. tº sº # * - * - sº 237 * - 50,229 2,000 tº tº º e-º º • º tº º ºs tº º tº º º 238 tº-et- 5,627 l!00 tº º * … tº e * - tº & -º tº e --> * > *- 243 tº-e ‘º 12,079 2,500 tº-e l3,079 1,000 tº º tº º gº ºne 10,500 310, 1,119 58. 1,31 1.000 1 11, 1,55 8, 11, 1 30 92. l;62 2.276 TOTAL 77 ‘peãueuouſ, Jepun papntouſ sp sepaeds Áq perdnooo qou uop 3.1od euq “3Tun euq anoušno Juq Ātmuojtun qou and 3 Jun e uſual a punoj sp. eue? 8; Q Jo seroeds out, JI /t 'spuet of tand ſtuo epntour seaow /z “Jeuueu spua up pequn Teae sea; qBudeaTe T Te up pasn ue eq aaeu S3 run quame 3euen LL auts au% ‘uosº Jeduloo Jo osod.ind euº, Jod /T 9Lz" a 26t" 26 OO Ogl’h 918" FIT000T I95'Og LIg’ OzE 205T LL TWLOI, tº-º º * -º º tº e OO!! 61.9°CT * > → 009 ‘T 6LO'91 tº e º 'º 9 ha. tº º tº º * - e tº º * - tº sºme eme , <-e Gº LZO'9 * > . . . 982 tº e º e * º ºr e tº e º 'º g-e º gº ºs g- º OO!! 629 “Ig & 182 gº e * . . . . . G. º * † tº h90“I * . . . . 002 h98 tº ecº- 882 tº gº gº º cº-º cº- * > * > tº e tº- tº e OOL'8 GLO ‘T * - º T82 * - e tº .º tº º Q_º tº e 61.9°2 000 “I 002 619 “8 {-, - 082 & -e tº tº … * -e -º tº e º 'º gº tº 000°2 h96‘8 * - º 122 tº º º tº _ _º * > . . . tº tº e tº º tº e º 'º 926 “L-º- 922 tº tº & e º º gº º tº- º * - e * - º Ozh “T T61 ‘8 tº e haz * - ºg gº sº -- tº gº tº e-º º * - * = h9T ‘8 tº 222 < * * * cº-º º tº º º OOI 99T ‘8 * - e. OOh 999 “2 * - º J.I.2 cº º g-º º {º tº tº º .º tºlz'g tº . º. OOI till “g * > . . 9T2 tº gº tº - tº-º º gº- ( e. T99 gº º tº º º T99 gº º 8T2 tº e º º º º tº º e tº º gth ‘9 º º tº º gth ‘9 * > . . .3 tº O2 Gº Gº cº-º º . tº gº tº º gº tº º tº e º . . 992'g tº cº- 2O2 tº º cº-e tº gº &= --> tº e º 'º dº tº e - tº º 69T “I tº º 002 tº-e ºs 98.9°6 tº e º º g- sº * - tº gº 98.9°6 tº º 66T tº cº-e tº º & º e- º 09h'9 * - º cº-º.º. 09h'9 tº cº- 96T tº e i tº * = < * g-e ºs O8tſ 99.9° 18' -- O90'g 980 ‘88. 08 L6T tº e º e tº º º * > º tº e º º tº e º º gº tº 912 º º 96T tº tº e º º gº tº e- tº tº º º º gº tº a 999 tº º 96T tº cº-e cº-º * - I - * > . . .º tº a - º 028 28T “2 tº h6t tº º -- « . . . .3 « . . . .º tº º gº º -- . g6T º - W86T & e * - º tº º ºs tº cº- * - tº tº º tº a º 9h3°gT * * * > 86T º º 239°92 -- tº e º º * -e ºs gº º 000°C zg.9°82 gº tº 26T tº > 199°9 * tº e º º 199°9 º e 009 ‘I 19T “g tº º T6T tº gº 696°g tº e º 'º tº -> * … º g-e ºs O09 698 “g tº e O6T º º tº --> * º * * * tº º º & e tº 000°2 I99 tº º 69T tº a - º º * tº tº- tº * - - gº 000°h 822*T cº-º- 19T * - ſº- * † - gº ºn 2 tº-º º tº º & 3 cº-º 089 tº- tº Lll tº º * - tº * - cº- tº º 6T6 * - cº-e tº 6T6 tº º º SLT tº gº * > . . < * * > * - tº gº tº º tº º º ^ 129 * > * 2LT * - cº-e cº º * º 'º - * - -e tº- º • * ~ * * > * > 892 Q- e T.I.T tº tº tº-º-º: e º 'º tº sº º OTS ‘I tº a tº º OI8 “T tº ºg º OLT e cº-º ( - cº º gº tº e TOg"2 tº º tº e º . TOg"2 tº º 69T tº e * > * > tº º 002 I89 * > . . . * * > . .” T£O'T == 99T * - * - tº tº º tº 1.96 * > * > cº º- 1.96 <--> --> 19T tº º cº º tº e <--> - º £90°2 º * > * > £90°2 gº º º 99T º º tº e º e Q = º e-º º 9ttg"T tºº tº dº e 9ttg"T tº º 99T cº º tº e tº e tº et - * - º q = q > 009 9t:6'2 & ºt. 99T gº tº e º º & e * * * * tº- º tº e TOh ‘I * - sº tº º 99T tº º tº e tº gº tº º gº tº gº tº º 009"T 9LT “I tº evº 99T -- cº-º º * → tº º-e wº * - º * > * > 9 Lt. “2 tº e º 'º * > * > O9T * > * * tº e º 'º G. et - tº º * > . .º tº º º 000°C £Ig ‘h 6tt { * > * > tº e º 'º * - º * > * > gº tº º º 600*T * > * > 9trl * - e º º tº e º tº e * - tº º tº º • * * * O99'9 J.H.I º ºs • = . tº º tº º * … lº * º º º 2LO"I º º 9ht tº tº tº-º-º- gº tº e tº ºi º tº e º 'º * e º 'º tº tº 169 tº e tº £h I tº º e. tº-º º º “Tº tº- tº e e- - 009 ‘I Lzz"2 * > º ZhT * : * > 212° 9 tº º ºg tº * > . . . tº e º 'º 000°2 2L2° tº tº e e It'ſ e- - 99T “g * . . . . .” tº tº * - e • * * > tº º 99T “g tº gº Ohl * - Lºº L88 * - ſº * -e ºr e tº º tº e tº gº 188 tº gº 68T cº-e sº 98.9° GT -- tº e * - gº º e 008 988 “gſ & > 99T * - I - * tº gº º * - a ( → * > e º 'º * - tº 199"I Gºº º 18T gº º º * - sº tº º º gº º Lº * - e e- º e 22h ‘I -º º 99T * - e * > * > g-º º tº tº cº º-º e-ºº- tº e º 'º Ohz gº º º h9T º tº e º 'º gº tº tº tº * > tº tº º * - º 622°g tº º ºs 88T º e cº º & e tºº-e tº a º cº- 000°T 218 °2 tº gº 92T 009 ggl‘g º dº tº e. tº tº * * * * 000°T 99.1 “h * > * * I,2T 91.9 000°9 tº º & º tº º ºs tº º e-egº 91.9°9 & º 92T * - sº 289°2 e - * > º 299°2 tº-e Es gº tº º 299°2 * > * > 9IT tº º 689 “T gº º- * * * > gº º º - ºf e 689 "T * - I - III ‘. . . . . tº º e tº º tº gº tº-e tº e tº . . OOH 999 “I * > * > 90T 000° I 989 & Leº tº º º * - e. tº e * - º 98.9"I ‘. … ... e OOI * > . . . * > … e. tº º gº tº e tº e º º * - C_b gº º go9 ‘g * * * * > 66 * … º * * * > tº gº tº º º & lº Q ºf ſº gº tº Oh9 * Lºº 96 gº º tº º tº º * > * > * = º tº º 008 920'g gº º 16 * -º º tº º • * ~ e-º º tº Ee e-ºp g-º º Stil * - 96 * † e e- tº * * * * tº e º tº º tº e º 'º £IO*T tº º 96 e tº * - dºº- 28 tº * ºf lº 6 º' --> 28th -- . . T6 tº e º º tº e tº º tº º º tº º tº-e Lº tº a º 009 ‘T 262"t 91. * - tº tº º tº * - a tº ºt. 2Ig'a tº- ( a 2Ig" 2 gº tº * …º.º. 99 * > * > º “Tº tº º tº º e 988 “g tº Ee 988 “g * * * * º e 99 * - º * > º tº º 000°8 98.1"g gº tº tº lº 98.1".9 tº … I9 tº e º e tº º º tº- tº tº º º * = tº tº-e tº 09.2°I gº º 99 * . . . . . tº e tº º * Lºº Oh9“I tº-e º tº e º Lº Oh9“I cº-º-º: 82 ( → ~ tº º º {- tº 009 tl.9°2 tº lº thó ‘2 088 Gº Lº 2T pskogamºr-pagueubuſſ-papersed pºrºmr-pºsuuusum-paperssø bºxbºurſ/assauwusum–Espvassd Sº Tuſ) (se Jow) deau's udou?pg (selow) MT3 Az(seuow) deed at nº /T quomoseuuw J.W.LIGWH &WW5) OI8 NO GAILWNHCJ.T.W. J.NIWMJ.SNOO LNGIWGR)WNWW GHL &O SJ.OW dwi WM3 J." ONOT (ICJ.W.II.O.I.LNW 2-H 3T3 WI. LNEWELV1S TVLNEWNOHIANE 398O9) TVAOH - Z-H APPENDICES – H-3 OF THE NONINTENSIVE MANAGEMENT ALTERNATIVE ON BIG GAME HABITAT TABLE H-3 ANTICIPATED LONG-TERM IMPACTS Management 1/ Mule Deer (Acres)2/ Elk (Acres) Bighorn Sheep (Acres) Units Degraded unchanged?/improved Degraded unchanged Improved Degraded Unchanged Improved l2 g-e ºs 3,071, 200 4. tº e 2,671, 600 cº-e ºs tº º tº º 23 * > * > l,640 tº-e - tº - l, 1,80 l60 tº tº e * - º cº-e e 58 g Lº l, 280 º- tº e t- tº- tº tº ºs º- gº º tº-º º tº-e ºs 6l * - tº 8,738 tº º & 6,238 2,500 * - º ( > 0 , tº e º 'º 66 tº- (- 500 2,838 * - F- 3,338 tº º gº tº tº e º º tº-e ºs 68 e-º º 2,512 tº º tº gº 2,512 GE sº tº e tº e tº tº- tº- 75 l, 1,92 l, 300 tº tº º tº tº º tº cº- e º 'º tº * tº 91 gº tº l!32 tº gº º l!32 gº tº * > . . . tº tº º (E. e 95 sº tº l,013 tº- (- tº e º 'º gº tº º º “Tº sº º tº cº- * * 96 tº º ll!3 tº e º 'º º gº e tº e º 'º gº tº e tº e Lº tº-e gºe g-e ‘º 97 tº-e tº 5,326 tº º tº tº tº ſº tº tº gº tº gº {-º ºr e 98 tº º 61:0 cº-º- tº gº t- tº º tº tº tº Lº ( * tº º e 99 gº º 5,305 tº cº-e tº dº tº gº tº gº tº º |-- * - ? tº e 100 tº º l,538 tº ºt- > * > * > º- º tº gº tº º 638 900 105 2,268 tº º G. : E → tº e ∈ <- tº gº º tº e ∈ tº-e gº { } e ll 7 tº gº l,539 & e tº e º e tº gº * 2 º' tº tº l,539 tº- tº-e ll 8 tº dº sº 2,682 & tº * * * * 2,682 tº- (- & º º 2,682 * . . . e. 126 100 6,576 * > t > t-º º tº gº tº º º 6,676 tº-e sº 127 tº L_º 1,755 l,000 tº e tº gº gº tº cº- tº 5,755 º- tº-e 128 gº º 2,372 l,000 tº e º tº º tº sº wº- tº-e dº nº tº º 133 tº º º 3,229 g-º º * > * > º E º tº gº g- º tº º tº º 13|| tº - 21.0 sº tº tº º e tº º- gº º tº ſº $. e e - l36 tº tº º l, 1,22 tº º tº e º º gº tº e tº E cº-º º tº º tº a gº l37 cº º- l,587 tº tº tº º tº tº tº - tº º tº º º tº- tº l38 tº º 15,635 * > t > tº º tº-e sº tº º tº E_ 15,635 § l39 tº-> -º 337 º gº tº tº I- * > º cº- tº- 337 tº tº ll.0 tº e 5, 188 gº tº e gº tº * - tº e tº e º 'º tº º º 5, 188 tº gº ll, l tº º 5,272 l,000 tº tº tº º tº cº- tº º 6,272 * * *-*. l!!2 tº tº e 3,227 500 sº tº (E_* tº tº gº º emº tº ſº- º tº gº ll;3 *-ū-º 697 gº tº tº cº- “. . . .” tº gº tº "º º tº º tº gº ll,6 tº e l,072 g gº º tº E- tº E tº-e ‘E tº-e º tº tº ll;7 500 6,580 eº tº tº e º * > * > gº tº tº gº tº e ſº-º º l!8 tº º- l,009 t-º gº tº e º 'º tº º tº gº tº º &E Eº * - l!9 tº 7, 313 * > * > º gº cº- tº- tº gº me tº º tº E e 150 tº gº l, 1,76 l,000 e- -º tº e º o tº e º 'º * > * > tº- tº *_º -> 155 tº - l, 1.78 l,500 tº- tº-e tº-e is tº e º ſº * > * * tº º tº lº,6 tº tº º l, 1.01 º “Tº gº tº gº º ºr p gº tº tº tº tº- (- *_º -º 158 gº tº 3, ll,8 !00 tº º gº º gº gº tº gº cº-e E- * - sº 165 tº-e ‘º l,518 tº- tº tº tº l,518 tº gº tº º ‘Lºº gº &= - 166 cº º- 2,083 tº º gº tº 2,083 sº tº tº tº tº e & e L- l67 & º 95.7 tº e gº tº 95.7 e-º º gº tº * - º tº gº 168 * > . . l,031 e-ºº º tº º ſº º 831 200 gº tº © tº e tº º 169 e-º º 2,50l q- me & 2 2,50l tº º tº - tº e tº º 170 * - l, 310 tº ſº tº e º 'º l, 310 e- tº * † -º gº º * > -e, 17l tº ſº 253 ſº tº º *- C - tº-e - * * * tº º tº-e gº- & º tº º º 172 tº 827 tº º tº e º e gº º * > . . . * . . .” G- tº {__* ºr º 173 gº tº 919 tº - e-Lº sº 919 gº tº gº tº º tº e -º- 177 g-eº. 630 * : * ~ * tº gº e G- E - tº tº tº dº tº gº tº cº-e 187 tº l, 723 3,500 tº º gº º º * > --> tº º tº gº tº º 189 tº-sº º l,061 l,800 g-e tº e cº º tº- e tº º tº e 190 gº º 5,569 100 tº-e e * - I - tº-e ‘ * > --> 5,969 * : * * l91 {_* 6,687 g-º º º g- 6,687 º ºg * - G - 6,687 tº º º 192 tº-e º 26,652 * - tº e * - e & tº º * - sº * - º 26,652 tº º 193 * > * > 15,248 gº º tº º tº --> tº- tº- tº- tº cº º-e gº º 193A * - tº 195 tº-e Tº e- e * > --> tº gº º * tº * > -e, l91, tº e 2, 1,62 e tº º tº º q > Gº Gº tº º º cº º * > -e, 195 tº- tº 685 tº e - tº tº º tº º º * - gºe * - sº º tº e *E º l96 * > . . 278 g-º º tº º º º tº e º ſº tº e º 'º tº e º e tº e 197 g-e 38, lló * - tº e gº º 38, 116 § - tº- tº tº º tº e 198 tº-º- 8, 1,60 tº e cº- º 8, 1,60 e- tº tº gº gº º tº tº e 199 e º 9,838 tº e º 'º gº º « » « » tº-º º -- 9,838 tº º 200 & º l, 159 tº E- gº tº tº gº tº gº tº º tº e tº & º 202 5,285 * -º º tº-e º eme º {-e gº-ºº: G-: ºº tº is * e ſ -º 201; º º 6, 1,15 tº º ºs tº gº 6, 1,15 tº gº tº gº º tº gº º º 213 tº e º 'º 651 tº º tº tº º q_º 65l tº º tº º tº tº gº º * - I e 216 tº cº- 5,271, tº e º 'º tº-º º 5,271, « . » tº º tº e º 'º * * * * * > -e 217 * - e 3,286 tº º gº tº 3, 186 100 tº º-e tº tº º e 222 & 3, 161, e-e e tº º tº-º- tº º tº tº gº tº * > --> 221, * - e 3,211 2,000 º “Tº * > * > {_* tº º $º º g-e ‘Te tº - 225 tº > 925 * º º tº-e tº e gº tº tº- tº tº gº tº tº gº 227 tº tº 5,964 tº º ºs gº º tº tº tº gº & º ºs tº e L- tº º 230 gº tº 3,579 tº e tº º 3,579 * > t > º- tº e º e * - sº 231 gº tº 1,775 q-e `e tº º e e-º º gº tº tº tº * > gº 233 tº º 881, 200 t-e e l,081. * - º º - {- tº * > * > 237 sº º 51,829 l!00 tº º {- º tº-º gº {-e gº & e-º º 238 gº º 5,927 100 tº º- {-º º tº-º º tº º tº & Tº tº 21,3 tº Eº ll, 179 l,00 g-e tº ll. , 179 l,00 tº E- tº cº- tº º TOTAL 77 l. 360 356,782 l8.238 00 ll6,636 3,960 00 93.868 900 1/ . For the purpose of comparison, the same 77 management units have been used in all alternatives evaluated in this manner. - 2/ Acres include only public lands. 3/ If the species of big game is found within a unit but not uniformly throughout the unit, the portion not occupied by species is included under Unchanged. LC-1 – ROYAL GORGE ENVIRONMENTAL STATEMENT LITERATURE CITED Ames, Charles R. 1977. Wildlife conflicts in riparian management: grazing. Importance, Preservation, and Management of Riparian Habitat: A Symposium (Tucson, Ariz., July 9, 1977) 215 p. Anderson, E. W. and R. J. Scherinzinger. 1975. Improving quality of winter forage for elk by cattle grazing. J. Range Manage. 28(2)120-125. Armour, Carl L. n.d. Effects of deteriorated range streams on trout. Unpubl. Arnold, J.R., Jameson, D.A., and E.H. Reid. 1964. The pinyon-juniper types of Arizona. Effects of Grazing, Fire, and Tree Control; U.S. Dept. Agr. Production Res. Pap. 84. Bartlett, E.T., Taylor, R.G., and L.E. Mack. 1979. Economic effects of reduction in federal grazing upon the economy of Colorado, draft report. Dept. Range Sci., Colo. State Univ., Fort Collins. Barney, M.A. and N.C. Frischknecht. 1974. Vegetation changes following fire in the pinyon-juniper type of west central Utah. J. Range Manage. 27(2). Beardall, L.E. and V.E. Sylvester. 1973. Spring burn for removal of sagebrush competition in Nevada. Proc. Tall Timbers Fire Ecol. Conf. 14:539-547. Beardsly, John, and Marcia Kelly. n.d. Human use and occupation narrative for the Canon City District. In progress. Burkhardt, J.W., and E. W. Tisdale. 1976. Causes of juniper invasion in southwestern Idaho. Ecology 57:481. Carder, D.R. 1977. Multi-resource management research in the southwest—the Beaver Creek program. J. Forestry 75(9). Carmichael, G.A. and L. Loendorf. Archaeological work in the path of phase V of the Bighorn Canyon Transpark Road. National Park Service Contract No. 2000–3-0065. Colorado Air Pollution Control Commission. 1977. Colorado Air Cuality Control Regulations and Abient Air Quality Standards. Colo. Dept. of Health. Colorado Department of Labor and Employment. 1978. Colorado manpower review, Vol. XV, No. 6, June 1978, Labor Market Information Branch. Denver, Colo. Colorado Division of Property Taxation. 1978. Dept. of Local Affairs, Eighth Annual Report, Denver, Colo. Colorado Division of Wildlife. 1977. Colorado Big Game Harvest. Colorado Division of Wildlife. 1978. Colorado Big Game Harvest. Colorado Land Use Commission. 1974. Sediment Yield Map. Colorado State Historical Society. 1967. Colorado Inventory—Colorado Historic Preservation Plan. Cook, C.W. Personal communication. 1974, 1975, 1977, 1979. Duff, D.A. 1978. Riparian habitat recovery on Big Creek, Rich County, Utah. Bur. Land Manage. Res. Rep. Fuchs, C., D. Kaufman and A. Ronen. 1977. Erosion and artifact distribution in open-air epi-pleistocene sites on the coastal plains of Israel. Field Archaeol. vol. 4. Galliziolis, S. 1977. Improving fish and wildlife benefits in range management. U.S. Dep. Interior, Fish and Wild. Serv. FWS/BS-77-1. Graul, W.D. and S.J. Bissell, tech. coord. 1978. Lowland river and stream habitat in Colorado: a symposium (Greeley, Colo., Oct. 4-5, 1978). Colo. Chap. Wildl. Soc. and Colo. Audubon Count., 195 p. Hansen, R.M. and L.D. Reid. 1975. Diet overlap of deer, elk, and cattle in southern Colorado. J. Range Manage. 28(1)43--47. Humphrey, R.R. 1962. Range Ecology (1st ed.) Ronald Press Co., New York, N.Y. Hurst, W.D. 1976. Management strategies within the pinyon-juniper ecosystem. Rangeman's J. 3(1). Hyde, R.M., C.W. Cook, and J.J. Trlica. Personal communication. 1979. Johnson, A. 1977. Preliminary cultural resource survey of Spring Creek, Miguel District, Grand Mesa, Uncompaghre & Gunnison National Forest. Ms. On file, Office of State Archaeologist, Denver. Kimball, J. and F. Savage. 1977. Diamond Fork aquatic and range habitat improvement. U.S. Dep. Agr., For. Serv. Res. Rep. Knight, G. 1978. Position letter to the Grand Junction District, Bur. Land Manage. Komarek, R. 1973. Fire and the changing wildlife habitat. Proc. Tall Timbers Fire Ecol. Conf. 2:35–43. Lawhorn, W. Personal communication. 1978, 1979. Litzinger, W. 1975. Effect of sheep grazing on the Hovenweep environment. Ms. On file at Mesa Verde National Park. Lusby, G.C., G.T. Turner, J.E. Thompson, and V.H. Reid. 1963. Hydrologic and biotic characteristics of grazed and ungrazed watersheds of the Badger Wash basin in western Colorado, 1953-58. U.S. Geol. Survey Water-Supply Paper 1532-B:1-73. Mackie, R.J. 1978. Impacts of livestock grazing on wild ungulates. Presented 43rd N. Ameri. Wildl. Nat. Resour. Conf. Martin, S.C. 1978. Grazing systems—what they can accomplish. Rangeman's J. 5(1). McKean, W.R. and F.M. Bartman. 1971. Deer-livestock relations on a pinon-juniper range in northwestern Colorado. Fed. Aid in Wildl. Restoration, Proj. W- 101-R. Minnich, D.W. 1969. Vegetative response and pattern of deer use following chaining of pinon and juniper forest. Colo. Div. Game, Fish and Parks. Denver, Colo. Muchmore, D.C. 1969. Livestock grazing effects on all season mule deer ranges. Wyo. Game and Fish Comm. Proj. No. FW-3-R-15. Mueller-Dombois, D. and H. Ellenberg. 1974. Aims and methods of vegetation ecology (1st ed.) John Wiley & Sons, Inc., New York, N.Y. Oxley, J.W. Personal communication. 1975. Papez, N.J. 1976. The Ruby-Butte deer herd. Nev. Fish and Game Dep. Biol. Bull. No. 5. Pase, C.P. and C.E. Granfelt. 1977. The use of fif Arizona rangelands. Ariz. Interagency º Committee Publ. No. 4. Game and Fish Commſ l NO. FW-3-4-15. Pase, C.P. and A.W. Lindenmuth. 1971. Eſsº, prescribed fire on vegetation and sediment in'. mountain mahogany chapparal. J. Forest. 69' U Platts, W.S. and C. Rountree. 1972. Bear Valley c Idaho, aquatic environment and fisheries 3" U.S. Forest Serv. U Rogers, G. n.d. Game-livestock forage compel study in Colorado. Unpub. Roney. J. n.d. Livestock and lithics: the effect trampling. , V prelim. draft Bur. Land Manage. Winemucca," Ross, L.A., D.M. Blood, and K.C. Nobe. 1975. Asſ. of sportsmen expenditures for hunting and ſº V in Colorado, 1973. Dept. of Econ., Colo. State U Ft. Collins, Colo., 1975. (NRE-20). Short, H.L. and C.Y. McCulloch. 1977. Mané W pinon-juniper ranges for wildlife. U.S. Dept. A Forest Serv. Gen. Tech. Rep. RM-47 W Sims, P.L. Personal communication. 1974. W Skovlin, J.M., et al. 1968. The influence of } management on deer and elk. Trans. N. Am..W and Nat. Resour. Con. 33:169-181. Steger, R.E. 1970. Grazing systems for range care"Y Mex. State Univ. Coop. Ext. Serv. Cir. 427. * Stoddart, L.A. and A.D. Smith. 1955. R*, management (2nd ed.), McGraw-Hill Book Co.' York, N.Y. Stoddart, L.A., A.D. Smith, and T.W. Box. 1975. a. management (3rd ed.), McGraw-Hill Book Co. York, N.Y. Trlica, M.J., M. Bowai, and J.W. Menke. 1977. Effe. rest following defoliations on the recovery of sº range species. J. Range Manage. 30(1). AA Trlica, M.J. and P. Hackney. 1977. Vegetative, wildlife inventory of Sommerville Table. Unpº t; Tully, R.J., L.J. Griess, L. Kroeckel. 1978 wº conservation officers creel census report. sta A Colo., Dept. of Nat. Res., Div. of Wildlife. U.S. Department of Agriculture, Soil Conser". Service. 1976. National Range Handbook. NR U.S. Department of Agriculture, Soil Conservºia Service. 1975. Soil survey of Chaffee-Lake' Colorado. U.S. Department of Commerce, Bureau of Eco". Analysis. 1978. Personal income by major sou' 1976. Washington, D.C. Computer printouts. § U.S. Department of Commerce, Bureau of the Ceſa 1972. Census of population: 1970, general % and economic characteristics, Colorado. U.S. Print. Off., Washington, D.C. # U.S. Department of Commerce, Bureau of the cº 1974. Statistical abstract of the U.S. Soc. & 6 Al Statistics Admin. U.S. Department of Commerce, Bureau of the cºal 1979. Survey of current business. Vol. 59., Nº U.S. Department of the Interior, Bureau of" Management. 1977. Raton Basin Unit Re50 Analysis (URA). GLOSSARY – GL-1 U.S. Department of the Interior, Bureau of Land f Management. 1978. Royal Gorge Resource Area ſº Unit Resource Analysis (URA). 1ſ U.S. Department of the Interior, Bureau of Land Management. 1978. San Luis Resource Area grazing final environmental statement. Canon City ... District, Colo. ſ". 9| U.S. Department of the Interior, Bureau of Land Management. 1979. Caliente draft environmental statement, proposed domestic livestock grazing management program. Las Vegas District, Nev. C: U.S. Department of the Interior, Bureau of Land ſel Management. 1979. Grand Junction Resource Area grazing management draft environmental act Statement. Grand Junction District, Colo. Vallentine, J.F. 1971. Range development and 3' improvement. Brigham Young Univ. Pr. Provo, Utah. s' *Van Poolen, Hw, and J.R. Lacey, 1979. Herbage 2 response to grazing intensities and stocking intensities. J. Range Manage. 32(4). n& Wadle, J.D. 1962. Balancing forage use by wildlife and l, livestock. Unpubl. Wasser, C.W. Personal communication. 1974. A"ght H.A. 1976. Northern desert shrub-grassland: f W review of fire literature—state of the art. Unpubl. | Wurm, D. Personal communication. 1978. re'Yokum, J.D. 1977. Managing rangelands for the American pronghorn antelope. Interstate Antelope , Conference Transactions. flá, o' te. GLOSSARY 36 *ACRE-Foot. A unit for measuring volume, equal to ! the quantity of water or other material required to Cover 1 acre to a depth of 1 foot or a volume of 43,560 º Cubic feet. W!" ;t& ADVERSE visuAL IMPAcT. Any impact on the land or Water form, vegetation, or any introduction of a * structure which adversely changes or interrupts the . Visual character of the landscape and disrupts the harmony of the natural elements. cºlorMENT. An area of land where one or more 6 Operators graze their livestock. It generally consists of public lands but may include parcels of private or ! state-owned lands. The number of livestock and f period of use are stipulated for each allotment. An 2" allotment may consist of several pastures or be only 5. One pasture. It is the same as a management unit. $ *lorMENT MANAGEMENT PLAN (AMP). A * Concisely written program of livestock grazing 3 management, including supportive measures, if "equired, designed to attain specific management & 90als in a grazing allotment. 61% | ALLOTTEE. Holder of a license or permit for grazing °n an allotment. A permittee. *lluvium. Unconsolidated rock or soil material 10 "eposited by running water, including gravel, sand, | t & !" *iſt, clay, and various mixtures of these. 30 ALLUVIAL SOIL. A soil developing from recently deposited alluvium and exhibiting essentially no horizon development nor modification of the recently deposited materials. ANIMAL UNIT MONTH (AUM). The forage needed to support one cow, one horse, or five sheep for a month or one elk, five deer, or five antelope for the same period of time (1800 lbs./AUM on a 50 percent utilization basis). ANNUALS. Plants produced from seed which complete their life cycle in one growing season. ARCHEOLOGICAL RESOURCES. Sites, areas, structures, objects, or other evidence of prehistoric human activities. ASPECT. The orientation of a slope in respect to the compass; a position facing or fronting a particular direction. ASPECT (VEGETATIVE). The appearance that a dominant or most common species of vegetation gives to the viewer, i.e., shortgrass, pinyon-juniper, big sagebrush, see vegetation type. AUM. See Animal Unit Month. BASIC ELEMENTS. The four major elements (form, line, color, and texture) which determine how the character of a landscape is perceived. BIOMASS. The weight of all (or the specified) living organisms over a unit of area. BROWSE. The part of leaf and twig growth of shrubs, woody vines, and trees available for animal consumption. CATCHMENT. A structure built to collect and retain Water. CFR. Code of Federal Regulations. CHECK DAM. Man-made structure which will slow down or temporarily stop runoff. Check dams reduce water velocity and channel erosion and cause sediment deposition in the channels above the Structures. CLIMAX VEGETATION. Relatively stable vegetation in equilibrium with its environment and with good reproduction of the dominant plants. COLOR. Color is a phenomenon of light or visual perception that enables one to distinguish between otherwise identical objects, as hue, as contrasted with black, white, or gray. Color as perceived in the landscape is usually most prominent in the vegetation, but may be expressed in the soil, rocks, water, etc., and may vary with the time of day, time of year, and the weather. CONTRAST. The effect of a striking difference in the form, line, color, or texture of the landscape features within the area being viewed. CONTRAST RATING. A method of determining the extent of visual impact for an existing or proposed activity that will modify any landscape feature (land and water form, vegetation, and structures). COMPETITION. Two or more organisms or species sustaining damage due to a limited resource mutually required. COOL-SEASON GRASS. A grass which makes the major portion of its growth during late winter, early spring, and again in the fall (during the cool seasons) or at higher elevations during the summer. CRITICAL WILDLIFE HABITAT. That portion of the living area of a wildlife species that is essential to the survival and perpetuation of the species either as individuals or as a population. CULTURAL MODIFICATION. Any man-caused change in the land or water form or vegetation or the addition of a structure which creates a visual contrast in the basic elements (form, line, color, texture) of the naturalistic character of a landscape. CULTURAL RESOURCES. Those fragile and nonrenewable remains of human activity, occupation, or endeavor, reflected in districts, sites, structures, buildings, objects, artifacts, ruins, works Of art, architecture, and natural features, that were of importance in human events. DISSOLVED SOLIDS. 'Solids that originate mostly from rocks and are in solution. Some colloidal material is treated as if it were in solution in determining dissolved solids. The total dissolved mineral COnstituents of water. EASEMENT. An easement is a right acquired by the U.S. to use or control private property for a road, trail, or other specified purposes. EDGE EFFECT. An area where the types of food and cover are more diverse thus creating a more favorable wildlife habitat, i.e., meadow abutting forest or logged area adjacent to or surrounded by "natural" vegetation. ENDANGERED SPECIES. Any species which is in danger of extinction throughout all or a significant portion of its ranges. ENVIRONMENTAL ASSESSMENT (EA). A report analyzing the impacts of some proposed action on a given environment. It is similar to an environmental impact statement (EIS) except that it is generally smaller in scope and makes recommendations for action. EAs are sometimes preliminary to EISs. EROSION. The process by which soil particles are Cetached and moved. EROSION CONDITION CLASS. A classification System for Soil erosion which allows a site to be ranked on a scale of 0-100, in increments of 20 points. Value classes are: 0–20 stable; 21-40 slight; 41-60 moderate; 61-80 critical; 81-100 Severe. The terms used for value classes are largely self-explanatory. FLOODPLAIN. The nearly level alluvial plain that borders a stream and is subject to inundation during high water. FLORAL. All plant life of a particular period or region. FLOW PATTERN. A microchannel(s) collecting and/or redistributing water resulting from precipitation events; a flow pattern is smaller than a rill. FORB. Herbaceous plants neither grass nor resembling grass. FOREGROUND-MIDDLEGROUND. The area visible from a travel route, use area, Or Other Observer position to a distance of 3 to 5 miles. The outer boundary of this zone is defined as the point where the texture and form of individual plants are no longer apparent in the landscape. Vegetation is apparent only in patterns or outline. FORM. Form is generally considered as the mass or shape of an object. It is most strongly expressed in the shape of the land surface, usually the result of some type of erosion, but may also be reflected in the shape of the openings or changes in vegetation, or in the structures placed on the landscape. ÇL-2 – ROYAL GORGE ENVIRONMENTAL STATEMENT GROUND COVER (SOIL). The material covering the soil and providing protection from, or resistance to, the impact of raindrops, and expressed in percent of the area covered. Composed of vegetation, litter, erosion, pavement, and rock. GROUND WATER. That part of subsurface water that completely saturates the rocks and is under hydrostatic pressure. HABITAT. A specific set of physical conditions that Surround the single species, a gro, p of species, or a large Community. In wildlife management, the major COmponents Of habitat are considered to be food, water, Cover, and living space. HIGH-INTENSITY STORMS. Storms producing rainfall at rates exceeding the ability of the ground surface to absorb the water, thus resulting in the runoff of water. These storms are usually the convective, or thunderstorm, type. HISTORICAL RESOURCES. All evidences of human activity that date from historic (i.e., recorded history) periods. INFILTRATION. The downward entry of water into the SOil. INTRUSION. A feature (land and water form, vegetation, or structure) which is generally considered out of Context with the characteristic landscape. INVERTEBRATE. An animal without a backbone. This group includes such animals as insects, Clams, Snails, and worms. LANDSCAPE FEATURES. The land and water form, vegetation, and structures which compose the characteristic landscape. LINE. Lines found in the natural landscape are usually the result of an abrupt contrast in form, texture, or color. Lines may be found as ridges, skylines, Structures, changes in vegetative types, or individual trees and branches. LITHIC SCATTER. Stone debris left as the result of tool manufacture or reshaping. LITTER. The uppermost layer of undecomposed, organic debris on or near the soil surface. MANAGEMENT FRAMEWORK PLAN (MFP). Land use plan for public lands which provides a set of goals, objectives, and constraints for a specific planning area to guide the development of detailed plans for the mangement of each resource. MANAGEMENT UNIT. See allotment. MESA. A broad, nearly flat-topped and usually isolated upland mass. NATIONAL REGISTER OF HISTORIC PLACES. The official list, established by the Historic Preservation Act of 1966, of the nation's Cultural resources worthy of preservation. OUTDOOR RECREATION OPPORT UNIT | ES (ACTIVITIES). A general categorization of leisure pursuits which Occur in the Outdoors. PALEO-INDIAN. Culture remains of human groups which coexisted with Pleistocene megafauna in North America. PALEONTOLOGY. A science dealing with the life of past geological periods as known from fossil remains. |||||||||||| PARENT MATERIAL. The unconsolidated and more- or-less chemically weathered mineral or organic matter from which soil develops. PASTURE. As used in this docuoment, a pasture is a Subdivision of a grazing allotment on public lands. For example, the allotment is divided into three pastures. PEDESTALLING. A phenomenon of erosion where plants or rocks are left standing on pedestals of soil. Pedestals are formed because a rock or plant has held the soil underneath in place. PERMITTEE. Holder of a license or permit for grazing On an allotment. An allottee. PERIOD OF USE. The scheduled time under a given system of rangeland management that livestock are allowed to graze a certain area. PHENOLOGY. The progress of plants through their growth cycle. PHYSIOGRAPHIC REGION. An extensive portion of the landscape normally encompassing many hundreds of square miles which portrays similar qualities of Soil, rock, slope, and vegetation of the same geomorphic origin. PLANT COVER. The percent of an area covered by any part of living plant material (aerial plant cover), or that percent area occupied by the portion of living plants at the point of emergence from the ground (basal plant cover). PLANT DENSITY. The number of vegetative individuals per unit of area. Refers to the relative closeness of individual vegetation to one another. PUBLIC LAND. Land administered by the Bureau of Land Management. RANGE CONDITION AND TREND. A description of the Current status and estimated future improvement or deterioration of the vegetation and SOil. RECREATION RESOURCES. Any resource or feature that contributes to outdoor leisure pursuits or experiences. REST. Deferment of grazing on a range area to allow plants to replenish their food reserves. In this statement refers to year-long relief from livestock grazing. REST STANDARD. The period of time free from grazing required for a forage plant to complete its physiological requirements. RILL. A small intermittent water course with steep sides, less than 6 inches deep. RIPARIAN. Situated on or pertaining to the bank of a river, stream, or other body of water. Normally used to refer to the plants of all types that grow rooted in the water table or streams, ponds, and springs, etc. SCENIC QUALITY. The degree of harmony, contrast, and variety within a landscape. SEDIMENT YIELD. The amount of sediment given up by a watershed over a specified time period, usually a year. Ordinarily, it is expressed as tons, acre feet, or cubic yards of Sediment per unit of drainage area per year. SERAL. Pertaining to the successional stages of biotic COmmunities. SILT. Sedimentary material consisting primarily 0. mineral particles intermediate in size between saſ and Clay. soil Association. A mapping unit used on genera soil maps, in which two or more defined taxonomiſ units occurring together in a characteristic patterſ are combined because the scale of the map of th? purpose for which it is being made does not requiſ? Celineation Of the individual soils. SOIL ERODIBILITY FACTOR. The measure of the raté at which a soil will permit a high level of croſſ productivity to be sustained economically and indefinitely; also called permissible soil loss. SOIL PRODUCTIVITY. The capability of a soil fo producing a specified plant or sequence of plant; under a specified system of managment. SOIL SURFACE FACTOR. A factor reflecting th? present erosion activity on the ground surface. It iſ used to reflect the general condition of the are? represented by an associated transect used in th? determination of hydrologic condition fo! watershed COver. STAND. An aggregation of trees or other growth occupying a specific area and sufficiently uniforſ" in composition (species), age, arrangement, and condition, to be distinguishable from the forest of other growth on adjoining areas. STOCKING I.EVEL. The maximum number o, livestock that can graze a given area for a specifić, period of time. . TEXTURE. Texture is the result of the size, Shape, and placement of parts, their uniformity, and th? distance from which they are being observed Texture, as it is perceived in the landscape, ſº usually the result of the vegetation or vegetativº patterns on the landscape. Texture may also be thº result of the erosive patterns in rocks or soil. $ ! THREATENED SPECIES. Any species which is like to become an endangered species within thº foreseeable future throughout all or a significaſ' portion of its range. { s * # TOPSOIL. Presumed fertile soil or SOil maº usually rich in Organic matter, used to top-dres road banks, parks, etc. * UNDERSTORY. That portion of a plant communit. that grows underneath taller plants growing on th’ Same Site. UNGULATE. A hooved animal. UNIT RESOURCE ANALYSIS. The system of dat? gathering and analysis that precedes land u% planning for public lands. See Manageme" Framework Plan. UNSUITABLE RANGE. An area which may have valu'. for wildlife but has no value for, or should not b% used by, livestock because of steep topograph) barrenness, dense timber, lack of forage, 0. unstable Soils. USE. The proportion of current year's forag' production that is consumed or destroyed by grazing animals. May refer either to a single specié or to the vegetation as a whole. - UTILIZATION. See use. i VEGETATION TYPE. A plant community wiſ' immediately distinguishable characteristics, base upon and named after the apparent dominate pla"; species. * INDEX – I-1 VISUAL RESOURCE MANAGEMENT CLASSES. The degree of visual change that is acceptable within the Characteristic landscape. It is based upon the physical and socio-logical characteristics of any given homogeneous area and serves as a management objective. WARM SEAsoN GRAss. A plant which makes most or all of its growth during the spring, summer, or fall and is usually dormant in winter; grows during the Warm SeaSOn. VERTEBRATE. An animal having a backbone or spinal Column. VIGOR (PLANTS). The state of health of a plant. The capacity of a plant to respond to growing conditions, to make and store food, produce food, produce seed, or reproduce vegetatively, that is, by Stolons or rhizomes. VISUAL RESOURCE. The land, water, vegetative, animal, and other features that are visible On all lands. WILDERNESS CHARACTERISTICS. The definition contained in section 2(c) of the Wilderness Act (78 Stat. 891). WILDERNESS STUDY AREA. A roadless area which has been found to have wilderness characteristics (thus having the potential of being included in the National Wilderness System), and which will be Subjected to intensive analysis in the Bureau's planning System, and public review to determine wilderness suitability, and is not yet the subject of a Congressional decision regarding its designation as WickIUP. A frame hut covered with matting, bark, or wilderneSS. brush. VISUAL RESOURCE MANAGEMENT (VRM). The planning, design, and implementation of WILDERNESS AREA. An area formally designated by management objectives to provide acceptable Congress as a part of the National Wilderness levels of visual impacts for all BLM resource Preservation System. management activities. INDEX Page ^ctual Use . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Forest Service . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 ^djustment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Soil Conservation Service . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 ^quatic Resources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 Water and POwer Resources Service . . . . . . . . . . . . . . . . . . . . . . 19 Assumptions and Analysis Guidelines . . . . . . . . . . . . . . . . . . . . . . 38 Programs, Local . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Benefit/Cost Analysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Programs, State °ondition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 Colorado State Land Office . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Stoplands . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 Colorado Division of Wildlife . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Sultural Resources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 Qualifications (see Licensed Use) . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Smployment • . . . . . . . . . . . . . . . . . . . . . . . * * * * * * * * * * * * * * * * * * * * * * 34 Range Improvements (see also Facilities) . . . . . . . . . . . . . . . . . . . 12 nergy Conservation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Range Survey . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Valuation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Recreation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 facilities.................................. . . . . . . . . . . . . . . . . 12 Rest Treatment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 lood Plains/Flood Hazard Evaluation . . . . . . . . . . . . . . . . . . . . . . 37 Riparian Vegetation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 'mpacts on: Short Term . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Aquatic Resources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45, 52, 56, 60, 64 Soils. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Archaeology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50, 54, 57, 62,65 Stocking Level . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Economics and Social Values . . . . . . . . . . . . . . . . . . . . . . . . . 46, 53, 56, 60, 65 Threatened and Endangered Species . . . . . . . . . . . . . . . . . . . . . . . 23, 30 Forestry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50, 54, 58,62, 66 Trend, Apparent . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 Livestock . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40, 52, 54, 58, 63 Utilization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Recreation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46, 53, 56,60, 64 Vegetative Types Soils. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49, 54, 57, 62,65 Forestland Group Vegetation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38, 52, 54, 58, 63 Broadleaf Tree . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 Visual Resources Management . . . . . . . . . . . . . . . . . . . . . . . . 50, 54, 58,62, 66 Conifer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 Water Resources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49, 54, 57, 62,65 Grassland Group Wildlife . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40, 52, 55, 58, 63 Grass . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 "come Meadow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 Construction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 Shrubland Group Government. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 Mountain Shrub . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 Ranch . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 Pinyon-Juniper . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 Key Species. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Sagebrush . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 $nd Treatment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 Saltbush . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 "Sensed Use . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Water Resources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 "estock . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 WilderneSS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 Song Term . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Wildlife anagement, Levels of Antelope . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 'ntensive. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Bighorn Sheep . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 Nonintensive . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Conifer-Associated Species . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 °nitoring . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Flk . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 Sisonous and Noxious Plants . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 Grassland-Associated Species . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 'oduction, Vegetative. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 Mountain Shrub-Associated Species. . . . . . . . . . . . . . . . . . . . . . 30 tograms, Federal Mule Deer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 Bureau of Land Management . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 Riparian-Broadleaf-ASSOciated Species . . . . . . . . . . . . . . . . . . . 29 Fish and Wildlife Service. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 41 D5/9B02–013-0 ºr state of colorado --------------------------- —------2'- -------- - H ºn 9 º' --------------- -------> colo state office District office - Resource area office – District eoundary | 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