key: cord-0334019-peaj04zp authors: Guerra, Carlos A.; Heintz-Buschart, Anna; Sikorski, Johannes; Chatzinotas, Antonis; Guerrero-Ramírez, Nathaly; Cesarz, Simone; Beaumelle, Léa; Rillig, Matthias C.; Maestre, Fernando T.; Delgado-Baquerizo, Manuel; Buscot, François; Overmann, Jörg; Patoine, Guillaume; Phillips, Helen R. P.; Winter, Marten; Wubet, Tesfaye; Küsel, Kirsten; Bardgett, Richard D.; Cameron, Erin K.; Cowan, Don; Grebenc, Tine; Marín, César; Orgiazzi, Alberto; Singh, Brajesh K.; Wall, Diana H.; Eisenhauer, Nico title: Blind spots in global soil biodiversity and ecosystem function research date: 2019-09-19 journal: bioRxiv DOI: 10.1101/774356 sha: 4f67e49c8c2b038bf61f8a6a13723bcbfdcdeafb doc_id: 334019 cord_uid: peaj04zp Soils harbor a substantial fraction of the world’s biodiversity, contributing to many crucial ecosystem functions. It is thus essential to identify general macroecological patterns related to the distribution and functioning of soil organisms to support their conservation and governance. Here we identify and characterize the existing gaps in soil biodiversity and ecosystem function data across soil macroecological studies and >11,000 sampling sites. These include significant spatial, environmental, taxonomic, and functional gaps, and an almost complete absence of temporally explicit data. We also identify the limitations of soil macroecological studies to explore general patterns in soil biodiversity-ecosystem functioning relationships, with only 0.6% of all sampling sites having a non-systematic coverage of both biodiversity and function datasets. Based on this information, we provide clear priorities to support and expand soil macroecological research. Soils harbor a large portion of global biodiversity, including microbes (e.g., Bacteria), micro-(e.g., Nematoda), meso-(e.g., Collembola), and macrofauna (e.g., Oligochaeta), which play critical roles in regulating multiple ecosystem functions and services, including climate regulation, nutrient cycling, and water purification [1] [2] [3] [4] [5] [6] . Accordingly, recent experimental 7,8 and observational 9,10 studies, based either on particular biomes (e.g., drylands) or local sites, have shown that soil biodiversity is of high importance for the maintenance of multifunctionality (i.e. the ability of ecosystems to simultaneously provide multiple ecosystem functions and services 11 ) in terrestrial ecosystems. Nevertheless, with few exceptions 9, 12 , global soil biodiversity-ecosystem function relationships have not yet been studied in depth, with macroecological studies evaluating the patterns and causal mechanisms linking soil biodiversity to soil ecosystem functions only emerging in the last decade 10, [13] [14] [15] . By comparison, albeit with important limitations 16 , there is a plethora of studies describing the global distribution and temporal patterns of aboveground biodiversity 17 , ecosystems 18 , and biodiversityecosystem function relationships 12, [19] [20] [21] [22] [23] , something that is currently mostly absent (but see 24 ) in soil macroecological studies due to the lack of temporally explicit data for soil biodiversity and soil related functions. Despite the mounting number of soil ecology studies, significant gaps and/or geographic and taxonomic biases exist in our understanding of soil biodiversity 25 . Although the existing gaps in global soil biodiversity data are consistent with gaps in other aboveground biota 16, 26, 27 , these are further exacerbated when described across specific ecological gradients (e.g., differences across altitudinal gradients) and taxa (e.g., Collembola, Oligochaeta) 28 . Further, and almost nothing is known about the temporal patterns in soil biodiversity at larger spatial scales and across ecosystem types. Identifying and filling these gaps on soil species distributions and functions is pivotal to identify the ecological preferences of multiple soil taxa, assess their vulnerabilities to global change drivers, and understand the causal links between soil biodiversity, ecosystem functions and their associated services 16, 29 . Despite growing scientific and political interest in soil biodiversity research 25 , little to no attention has been given to the governance of soil ecosystems (Fig. S1 ), which has resulted in a lack of inclusion of soil biodiversity and functions in decision making regarding land management debates, conservation, and environmental policy 30 . In contrast to groups of organisms from other realms (e.g., aboveground terrestrial 31 ) for which the Global Biodiversity Information Facility (GBIF) constitutes already the main global data hub 32, 33 , soil organisms are poorly represented, with distribution data on soil species spread across the literature and a number of platforms (e.g., the global Ants database 34 , the Earth Microbiome project 35 ). Across all available soil biodiversity data, major issues remain regarding the spatial and temporal representativeness (e.g., absent data in most tropical systems) of data, and coverage of taxonomic groups of soil biota (e.g., most focus on fungi and Bacteria), which limits our capacity to comprehensively assess and understand soil systems at multiple temporal and biogeographic scales. More importantly, both the lack of representativeness and the distribution of gaps in global soil biodiversity and ecosystem function research hampers the prioritization of future monitoring efforts 16 . Such a knowledge deficit in soil biodiversity also prevents stakeholders from taking appropriate management actions to preserve and maintain important ecosystem services 36 , such as food and water security, for which soils are the main provider. Therefore, it is both timely and relevant to identify these blind spots in global soil macroecological knowledge and research. By doing so, we can assess their main causes and line up potential solutions to overcome them. Here, we identify fundamental gaps in soil macroecological research by analysing the distribution of sampling sites across a large range of soil organisms and ecosystem functions. In a review of current literature, we collected sample locations from most existing studies focused on soil macroecological patterns. The studies were then organized according to different soil taxonomic groups and ecosystem functions studied (nine and five categories, respectively, see Methods for more details). Since the mere accumulation of data will not significantly advance ecological understanding 37, 38 , it is important to identify how well the current studies cover the range of existing environmental conditions on Earth, including soil properties, climate, topography, and land cover characteristics 39, 40 . Finally, we examined how these macroecological studies have captured the diversity of global environmental conditions to identify critical ecological and geographical "blind spots" of global soil ecosystem research (e.g., specific land use types, soil properties, climate ranges; see Methods for more detail). By identifying the environmental conditions that have to be covered in future research and monitoring to draw an unbiased picture of the current state of global soils as well as to reliably forecast their futures, our synthesis goes a significant step beyond recent calls to close global data gaps 25 . Therefore, our comprehensive spatial analysis will help researchers to design future soil biodiversity and ecosystem function surveys, to support the mobilization of existing data, and to inform funding bodies about the allocation of research priorities in this important scientific field. (Fig. 1) . Bacteria, fungi, and soil respiration ( Fig. 1a ) were the best-represented soil taxa and functions in our literature survey, respectively. The total number of sites across all studies is quite low when compared with many aboveground macroecological databases that can individually surpass the numbers found here (e.g., the PREDICTS database 41 Fig. S2a for more detail). In the case of Bacteria and fungi, the relatively high number of sampling sites reflects a community effort to assemble databases based on collections from different projects 10, 42 . In the case of Formicoidea, the availability of data reflects the outcome of systematic global sampling initiatives 43 or a combination of both 44 . , and the 0.6% [N=63] of overlap between biodiversity and function data points (this number does not mean that soil biodiversity and function were assessed in the same soil sample or during the same sampling campaign; i.e., there could still be a thematic or temporal mismatch), relative to the total number of sampling sites covered by the studies. The maps show the overall spatial distribution of sampling sites for all taxa (b) and soil ecosystem functions (c). The size of the circles corresponds to the number of sampling sites within a 1-degree grid ranging from <10 to >50. Soil ecosystems are by nature very heterogeneous at local scales 45 . Having a small and scattered number of sampling sites, for both soil functions and taxa, limits the power of current global analyses to evaluate macroecological relationships between soil biodiversity and ecosystem function, particularly for nutrient cycling and secondary productivity, which have strong local inter-dependencies 46 . In fact, from the five functions assessed here, there is a clear concentration of studies on soil respiration, accounting for 69.1% [N=2,616] of all function records (see Fig. S2b for more detail). Thus, our study provides evidence for a lack of matching data for soil biodiversity and multiple ecosystem functions in current global datasets. Due to the dependency of these and other soil functions on biodiversity 2,47 , being able to deepen our understanding of the strength and distribution of expected biodiversity and ecosystem function relationships is critical to better inform management and policy decisions 48 . In this context, only 0.6% of all sampling sites have an overlap between biodiversity and function datasets (corresponding to 63 sampling sites), with a non-systematic coverage of just a few taxa and functions across sites. Nowadays, macroecological studies on aboveground biodiversity and ecosystem functioning 19, 41, [49] [50] [51] [52] rely on data mobilization mechanisms that allow for data to be often reused to address multiple research questions. By contrast, apart from some taxonomic groups (i.e., Bacteria and fungi) soil macroecological studies based on observational data have a very small degree of overlap and still remain conditioned by poor data sharing and mobilization mechanisms [53] [54] [55] . We also discovered that most studies are based on single sampling events, i.e., without repeated measurements in time for the same sampling sites. Being able to study how communities and functions change over time is essential for assessing trends in key taxa and functions, and their vulnerability to global change 17 . Our global survey suggests that such information is almost nonexistent in large-scale soil biodiversity and ecosystem functions studies. Thus, for most soil communities and functions, although local studies exist 56, 57 , understanding the global trends and the implications of global change drivers and scenarios is difficult and limited by the absence of globally distributed and temporally explicit observational data. Overall, both soil biodiversity and ecosystem function variables reveal a high degree of spatial clustering across global biomes: temperate biomes (especially broadleaved mixed forests and Mediterranean) contain more sampling sites than tundra, flooded grasslands and savannas, mangroves, and most of the tropical biomes, with the exception of moist broadleaf forests (Fig. S3 ). This spatial clustering is even more pronounced in studies of ecosystem functions, with temperate systems being overrepresented with 62% of all sampling sites, while the rest of the globe has scattered information on soil conditions. This likely reflects differences in funding availability and research expertise across countries 27, 58 . In fact, for taxa like Collembola and Nematoda, most of sampling sites are concentrated in temperate regions, with very few being documented in other regions. Further, the availability of soil biodiversity and function data is especially scarce, and in some cases non-existent: in tropical and subtropical regions (see Fig. S3 for more details), which are among the most megadiverse places on Earth, montane grasslands, and deserts. In many cases, local experts may exist, although their contributions are often not included in macroecological studies. At the same time, for many of the best-represented regions in the globe, there is rarely a complete coverage of soil taxa and functions, with records often being overinflated by one or two densely sampled taxa (e.g., Bacteria and fungi) or functions (e.g., soil respiration). The range of environmental conditions currently described within soil macroecological studies is critical to understand the relationship between soil biodiversity, ecosystem functions, and key environmental conditions (e.g., the known relationship between Bacteria richness and pH 59 or the dependence of soil respiration on temperature 60, 61 ) . In this context, the complete range of soil carbon levels existing on Earth is not well covered, with soils of very high and low carbon contents (Fig. 2a) being underrepresented compared with their global distribution. The same applies to soil type, with only a fraction of soil types being well covered (i.e., acrisols, andosols, cambisols, kastanozems, luvisols and podzols), while others are significantly underrepresented or completely absent (e.g., durisols, stagnosols, umbrisols; Fig. 2o ). In contrast, our study identified over-and underrepresented environmental conditions in soil biodiversity and function studies (Fig. 2) . For example, some soil properties are well represented across studies, such as soil texture (i.e., sand, silt, and clay content) and pH, with the exception of extreme ranges (e.g., pH > 7.33 or silt content < 19%). In contrast to to soil conditions, climate variability is systematically poorly covered in soil biodiversity and function studies, with significant climatic ranges being almost completely missing (Fig. 2f-k) . These include low and high potential evaporation and aridity areas, areas with high climate seasonality, low precipitation and extreme temperatures (i.e., very hot and very cold systems), with no overall significant differences between biodiversity and ecosystem function studies. Drylands, for example, cover ~45% of the land surface 62 and have been shown to be highly diverse in terms of soil biodiversity and with strong links to specific ecosystem functions 24, 63 , but are often underrepresented. Climatic conditions (current and future) have strong influences on both soil organisms 57 and functions 60, 64 ; as such, assessing a wide range of these conditions, including climatic extremes, is fundamental to describe the complex dynamics of soil systems. This issue is further exacerbated when looking at specific climate combinations (Fig. 3c) , where 59.6% of the global climate is not covered by any of the studies considered. 65 . The zero black line corresponds to a situation where the proportion of sites in a given class within a study matches the global proportional representation of the same class. Although outliers were not eliminated, for representation purposes these were omitted >800% between panels a to l and <3000% for panels m to o. Although representing a major driver of soil biodiversity and function 4 , land-cover based studies have shown different responses across groups of soil organisms 56, 71, 72 and specific functions 73, 74 . While, in general, land cover types are well covered, sites in the proximity of urban areas are disproportionately represented (Fig. 2n) . Lichens, mosses, and bare areas have been neglected, and shrublands are not well represented in ecosystem function assessments. These gaps may have important implications, particularly when they correlate with understudied ecosystems like drylands or higher latitude systems that may harbor high biodiversity 63 , but for which patterns are mostly unknown. In this context, the present analysis indicates that low diversity areas (here represented as plant richness 69 ) are absent from most studies or poorly represented, with the focus being mostly on higher diversity areas. Concurrently, it has been suggested that there may be important mismatches between above-and belowground biodiversity across the globe 75 , i.e., there are huge areas where aboveground biodiversity does not well predict belowground biodiversity. When looking at how belowground studies cover the combinations of aboveground diversity (Fig. 3a) and of soil conditions (Fig 3b) , important mismatches are observed. We also looked at combinations of environmental gradients. Here, although most soil-related environmental combinations (Fig. 3b) are well covered across studies, the same does not apply when looking at the aboveground diversity (Fig. 3a) , which shows a very good coverage in forest and crop areas with above average plant richness in mid to low elevations, while other environmental combinations are underrepresented. Overall, while it is unreasonable to expect all macroecological studies to cover all possible soil conditions, the systematic underrepresentation of many soil characteristics observed here may undermine our capacity to generalise results given that they do not capture the full ecological space of soil organisms. Many of the reasons and drivers of existing data gaps have already been illustrated in recent literature for aboveground systems 16 (e.g., accessibility, proximity to large cities, etc.). In the case of soil biodiversity and ecosystem functions, these blind spots are further reinforced because of the lack of standardized protocols for acquiring biodiversity and ecosystem function data. This translates into an absence of comparable data, which is even more pronounced than in other systems 16, 76 . Nevertheless, there is a continuous movement towards improving data mobilization and international collaborations that could help overcome these issues if steered in the direction of underestimated taxa and/or functions identified here 77 . In a changing world where soil biodiversity shifts are being systematically reported [78] [79] [80] , and where current forecasts are pointing to increases in land-use intensity 81, 82 , desertification 83 , and rapid climate change 84-87 , understanding if and to what extent biodiversity changes are happening in soil communities is of high importance. This is particularly relevant to assess causal effects between changes in biodiversity and ecosystem function (e.g., are changes in biodiversity occurring because of changes in function, paired with them, or despite them, and vice versa), which is even more relevant if key ecosystem functions (e.g., carbon sequestration) are the subject of evaluation. Fig. 3 The extent to which main soil environmental characteristics are assessed across macroecological studies. Colours correspond to the amount of studies covering a given combination of characteristics (see Methods for more details) within: a) land cover (including the combination of land cover, plant diversity and elevation); b) soils (including the combination of organic carbon content, sand content and pH); and c) climate (including the combination of mean precipitation and temperature, and their seasonality). Black corresponds to combinations that were not assessed by any of the studies here included; in blue are the combinations assessed by less than 15% of the studies (N= 7); in light green the variable combinations assessed by less than 40% of the studies (N=18); and in dark green, the variable combinations assessed by more than 40% of the studies. All combinations were created by a spatial overlap using the same class distribution of each variable as in Fig. 2 Filling the knowledge gap on large-scale temporal trends in soil biodiversity and ecosystem function cannot be achieved without spatially explicit studies based on resampled locations. This could be done with a proper global monitoring framework that is recognized and supported by a large number of countries, which currently does not exist. In this context, given the strength of recognized soil taxa interactions 88 , biodiversity and ecosystem function relationships 24 , and above-belowground interactions 89 , these large-scale monitoring activities and research studies should consider going beyond traditional single taxa/function approaches and collect information on the multiple dimensions of soil ecosystems 28 , while at the same time expanding/supporting surveys to cover the blind spots of soil macroecological research (Fig. 3 ). Across all soil taxa and functions, the geographical and ecological blind spots identified here often emerge from a number of obstacles specific to soil ecology 77 (see summary in Table 1 ). Soil macroecologists face many challenges and constraints spanning from a lack of methodological standards and scientific expertise in different taxonomic groups [90] [91] [92] , to limitations caused by the current implementation of the Convention for Biological Diversity (CBD) and the Nagoya Protocol 93, 94 . While the first has more immediate, albeit non-trivial solutions (e.g., by expanding the language pool of the researchers and studies included 16, 95 and by applying common standards for sampling, extraction, and molecular protocols [96] [97] [98] [99] ), the latter contains systemic issues that go beyond soil ecology alone. In this context, although the CBD and the Nagoya Protocol were created to protect countries while making the transfer of biological material more agile, numerous states have either not yet implemented effective national Access and Benefit Sharing (ABS) laws or have implemented very strict regulations 100, 101 . Yet, even after 25 years of the CBD and the ABS framework being in place, the major motivation for a strict national regulationthe anticipated commercial benefits and high royalties from the "green gold" -has not yet materialized 93, 102 . • Support open access partnerships (e.g., the German DEAL 108 ) to facilitate knowledge transfer and collaboration across countries and researchers from different backgrounds and expertise. • Improve the digitally available data on soil biodiversity and ecosystem function by supporting the expansion of current global databases (e.g., GBIF) or the creation of interoperable data infrastructures on soil function data. Lack of temporally explicit information on soil biodiversity and functions • Identify relevant sites -e.g., sites covering a wide range of taxa or functions and/or a high degree of standardization -for resampling. • Revisit already sampled sites to obtain temporal measurements of soil biodiversity and ecosystem function. • Institutional support of longterm databases and collections of soils, soil functional data, and soil biological material. • Create funding schemes for strategic long-term research projects on soil monitoring and research (e.g., using the LTER framework as an example 109 Researchers have yet to coordinate a global effort to characterize the multiple aspects of soil biodiversity and function in a comprehensive manner, with the current literature being dominated by scattered, mostly local studies focused on specific soil organisms and/or functions. Although here we do not assess the potential of local studies to overcome the current blind spots, other studies 34, 35, 64 have shown that, with a significant effort in standardization and data mobilization, local and regional studies add fundamental knowledge and empower local researchers to participate in global initiatives. In fact, several studies not included in this assessment can provide a finer-scale resolution in many areas of the globe 71, 110, 111 . Nevertheless, their spatial extent systematically coincides with overrepresented areas (e.g., temperate areas), and their taxonomic and functional focus is mostly on the already prevailing taxa (i.e., Bacteria and fungi) and functions (i.e., soil respiration), potentially increasing existing biases. This increases the relevance of facilitating data mobilization from regions and, more importantly, environmental conditions that are systematically not covered by macroecological studies. In parallel, and given the nature of global change drivers, understanding their influence on local soil communities and ecosystem functioning requires global macroecological approaches that can provide context, predictions, and concrete suggestions to policymakers across the globe. Yet these macroecological approaches will be less effective in providing relevant outputs at national scales if they are based on data extrapolated from other countries; they would be strongly improved if local data were made available 25, 112 . Without more comprehensive studies seeking answers to large-scale soil ecological questions -often involving dealing with multiple scales (temporal and spatial) and a number of thematic and taxonomic depths 75 -it is difficult to deepen soil macroecological knowledge 113 . This is particularly relevant in testing biodiversity and ecosystem function relationships at the global scale, or trying to address specific societal issues (e.g., the attribution of climate and land-use change as drivers of soil ecological change or general biodiversity trends) 17 . Globally, soil habitats are under constant pressure from major threats, such as climate change, land use change and intensification, desertification, and increased levels of pollution. Here, we argue for a global monitoring initiative that systematically samples soil biodiversity and ecosystem functions across space and time. Such a global initiative is urgently needed to fully understand the consequences of ongoing global environmental change on the multiple ecosystem processes and services supported by soil organisms (Table 1) . This requires that current and future funding mechanisms include higher flexibility for the involvement of local partners from different countries in global research projects. Given that soil ecological research requires cross-border initiatives 77 and expensive infrastructure, there is a need for flexible funding with proper knowledge transfer mechanisms to sustain global soil macroecological research. Such knowledge will in turn contribute to advancing our understanding of macroecological patterns of soil biodiversity and ecosystem function, thereby fulfilling national and global conservation goals 114, 117, 118 . Considering the current pool of literature, improving the digitally available data on soil biodiversity and ecosystem function should be a top priority that could be made possible by systematically mobilizing the underlying data 119 in already existing open access platforms (e.g., GBIF). Achieving this goal on shared knowledge and open access data will return benefits beyond making global soil biodiversity surveys possible. It will allow local researchers to expand their own initiatives, create a more connected global community of soil ecologists, bypassing publication and language limitations, and potentially open doors in countries that may otherwise be reluctant in sharing their soil biodiversity data 27 . In parallel, coordinated sampling strategies based on standardized data collection and analysis are needed to improve soil macroecological assessments. From our results, it is clear that most, if not all, studies look at only a fraction of the soil realm without much spatial and thematic complementarity of global environmental conditions. Also, the significantly small overlap between biodiversity and functional studies indicates that most community assessments disregard the ecosystem functions that these provide and vice versa, prompting a call for more complex approaches that can show potential links and global ecosystem services. Our study helps to identify global target locations and biomes which need to be given priority in future surveys. Future sampling strategies would greatly benefit from coordinated sampling campaigns with biodiversity and function assessments at the same locations and ideally from the same soil samples to improve the current spatial-temporal resolution of data on soil biodiversity and ecosystem functions. These two complementary pathways (i.e., data mobilization and sharing of current literature and a globally standardized sampling) if done in a spatially explicit context, and following standardized protocols, could ultimately inform predictive modelling frameworks for soil ecosystems to track the fulfilment of global/national biodiversity targets, policy support, and decision making. Taken together, our study shows important spatial and environmental gaps across different taxa and functions that future macroecological research should target, and a need to collect temporal datasets to explore if current aboveground biodiversity declines are also seen in belowground taxa. With the identification of global spatial, taxonomic, and functional blind spots, and the definition of priority actions for global soil macroecological research 75 , our synthesis highlights the need for action to facilitate a global soil monitoring system that overcomes the current limitations. Soil ecology and ecosystem services A review of earthworm impact on soil function and ecosystem services Belowground biodiversity and ecosystem functioning Impacts of biodiversity loss escalate through time as redundancy fades Biodiversity across trophic levels drives multifunctionality in highly diverse forests Size-dependent loss of aboveground animals differentially affects grassland ecosystem coupling and functions Biodiversity at multiple trophic levels is needed for ecosystem multifunctionality Increasing aridity reduces soil microbial diversity and abundance in global drylands Redefining ecosystem multifunctionality Plant species richness and ecosystem multifunctionality in global drylands Large-scale patterns of distribution and diversity of terrestrial nematodes Palaeoclimate explains a unique proportion of the global variation in soil bacterial communities Macroecology of biodiversity: disentangling local and regional effects Global priorities for an effective information basis of biodiversity distributions Assemblage time series reveal biodiversity change but not systematic loss High-resolution global maps of 21st-century forest cover change Integrative modelling reveals mechanisms linking productivity and plant species richness Positive biodiversity-productivity relationship predominant in global forests Biodiversity effects in the wild are common and as strong as key drivers of productivity Jack-of-all-trades effects drive biodiversity-ecosystem multifunctionality relationships in European forests Continental mapping of forest ecosystem functions reveals a high but unrealised potential for forest multifunctionality Microbial diversity drives multifunctionality in terrestrial ecosystems Global gaps in soil biodiversity data Unlocking biodiversity data: Prioritization and filling the gaps in biodiversity observation data in Europe Four barriers to the global understanding of biodiversity conservation: wealth, language, geographical location and security Recognizing the quiet extinction of invertebrates Global Biodiversity Change: The Bad, the Good, and the Unknown Is the European Union protecting soil? A critical analysis of Community environmental policy and law Multidimensional biases, gaps and uncertainties in global plant occurrence information Biodiversity data should be published, cited, and peer reviewed The biodiversity informatics landscape: elements, connections and opportunities A global database of ant species abundances A communal catalogue reveals Earth's multiscale microbial diversity Challenges in integrating the concept of ecosystem services and values in landscape planning, management and decision making Meta-analysis in applied ecology Biodiversity research: data without theory-theory without data The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project Global diversity and geography of soil fungi Global soil biodiversity atlas The Global Ant Biodiversity Informatics (GABI) database: synthesizing data on the geographic distribution of ant species (Hymenoptera: Formicidae) The enigma of soil animal species diversity revisited: the role of small-scale heterogeneity Soil invertebrates and ecosystem services Ants and termites increase crop yield in a dry climate From patterns to causal understanding: Structural equation modeling (SEM) in soil ecology Biodiversity increases the resistance of ecosystem productivity to climate extremes Multiple facets of biodiversity drive the diversity-stability relationship Plant ecology. Worldwide evidence of a unimodal relationship between productivity and plant species richness Global effects of land use on local terrestrial biodiversity Little science confronts the data deluge: habitat ecology, embedded sensor networks, and digital libraries Big data and the future of ecology Current use of and future needs for soil invertebrate functional traits in community ecology Intensive agriculture reduces soil biodiversity across Europe A meta-analysis of responses of soil biota to global change Taxonomy: impediment or expedient? Cross-Biome Drivers of Soil Bacterial Alpha Diversity on a Worldwide Scale The sensitivity of soil respiration to soil temperature, moisture, and carbon supply at the global scale Carbon quality and soil microbial property control the latitudinal pattern in temperature sensitivity of soil microbial respiration across Chinese forest ecosystems Drylands extent and environmental issues. A global approach A global atlas of the dominant bacteria found in soil Early stage litter decomposition across biomes SoilGrids1km--global soil information based on automated mapping Climate change mitigation through afforestation/reforestation: A global analysis of hydrologic impacts with four case studies Climatologies at high resolution for the Earth land surface areas. Scientific data Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) | The Long Term Archive Global patterns and determinants of vascular plant diversity ESA -Land Cover CCI -Product User Guide Version 2.0 Mapping earthworm communities in Ecological drivers of soil microbial diversity and soil biological networks in the Southern Hemisphere Global annual soil respiration in relation to climate, soil properties and vegetation characteristics: Summary of available data Rates of litter decomposition in terrestrial ecosystems: global patterns and controlling factors Global mismatches in aboveground and belowground biodiversity Mapping knowledge gaps in marine diversity reveals a latitudinal gradient of missing species richness Priorities for research in soil ecology More than 75 percent decline over 27 years in total flying insect biomass in protected areas Defaunation in the Anthropocene Biodiversity loss and its impact on humanity Biodiversity scenarios neglect future land-use changes Land-use futures in the shared socio-economic pathways Increasing drought under global warming in observations and models Changes in Temperature and Precipitation Extremes in the IPCC Ensemble of Global Coupled Model Simulations A globally coherent fingerprint of climate change impacts across natural systems Change in future climate due to Antarctic meltwater Long-term climate change: projections, commitments and irreversibility Ant colonies promote the diversity of soil microbial communities Ecological linkages between aboveground and belowground biota Taxonomy based on science is necessary for global conservation Are We Losing the Science of Taxonomy? Lack of well-maintained natural history collections and taxonomists in megadiverse developing countries hampers global biodiversity exploration When the cure kills-CBD limits biodiversity research Global biodiversity research tied up by juridical interpretations of access and benefit sharing What determines the citation frequency of ecological papers? Analysing Microbial Community Composition through Amplicon Sequencing: From Sampling to Hypothesis Testing Meta-barcoded evaluation of the ISO standard 11063 DNA extraction procedure to characterize soil bacterial and fungal community diversity and composition UNITE: a database providing web-based methods for the molecular identification of ectomycorrhizal fungi Methods for studying earthworm dispersal Access and Benefit Sharing under the Convention on Biological Diversity and Its Protocol: What Can Some Numbers Tell Us about the Effectiveness of the Regulatory Regime? Resources Biodiversity access and benefit-sharing: weaving a rope of sand Microbial biomass measured as total lipid phosphate in soils of different organic content A rapid microtiter plate method to measure carbon dioxide evolved from carbon substrate amendments so as to determine the physiological profiles of soil microbial communities by using whole soil /119 (1). 2013. Nematode extraction Soil quality -Sampling of soil invertebrates -Part 1: Hand-sorting and extraction of earthworms Soil quality -Sampling of soil invertebrates -Part 4: Sampling, extraction and identification of soil-inhabiting nematodes A DEAL for open access: The negotiations between the German DEAL project and publishers have global implications for academic publishing beyond just Germany Past, Present, and Future Roles of Long-Term Experiments in the LTER Network Environment and host as large-scale controls of ectomycorrhizal fungi Mapping and predictive variations of soil bacterial richness across France Red list of a black box Microbial island biogeography: isolation shapes the life history characteristics but not diversity of root-symbiotic fungal communities Significance and future role of microbial resource centers Microbiological Research Under the Nagoya Protocol: Facts and Fiction Brazil's government attacks biodiversity Ecosystem services for 2020 A global database of soil respiration data Interpreting soil ciliate biodiversity A global database on intraspecific body growth variability in earthworm Global patterns in belowground communities Global biogeography of microbial nitrogen-cycling traits in soil Structure and function of the global topsoil microbiome Detecting macroecological patterns in bacterial communities across independent studies of global soils Consistent responses of soil microbial communities to elevated nutrient inputs in grasslands across the globe The Earth Microbiome project: successes and aspirations The diversity and biogeography of soil bacterial communities Global distribution of Polaromonas phylotypes--evidence for a highly successful dispersal capacity Consistently inconsistent drivers of microbial diversity and abundance at macroecological scales Scaling laws predict global microbial diversity Global patterns in bacterial diversity Phylogenetic distribution, biogeography and the effects of land management upon bacterial non-specific Acid phosphatase Gene diversity and abundance A macroecological theory of microbial biodiversity Examining the global distribution of dominant archaeal populations in soil Global assessment of arbuscular mycorrhizal fungus diversity reveals very low endemism Global diversity and distribution of arbuscular mycorrhizal fungi Historical biome distribution and recent human disturbance shape the diversity of arbuscular mycorrhizal fungi Biogeography of ectomycorrhizal fungi associated with alders (Alnus spp.) in relation to biotic and abiotic variables at the global scale A global assessment using PCR techniques of mycorrhizal fungal populations colonising Tithonia diversifolia Towards global patterns in the diversity and community structure of ectomycorrhizal fungi Composition of root-colonizing arbuscular mycorrhizal fungal communities in different ecosystems around the globe: Arbuscular mycorrhizal fungal communities around the globe The online database MaarjAM reveals global and ecosystemic distribution patterns in arbuscular mycorrhizal fungi (Glomeromycota) Biogeography of arbuscular mycorrhizal fungi (Glomeromycota): a phylogenetic perspective on species distribution patterns Global biogeography of highly diverse protistan communities in soil Soil microorganisms behave like macroscopic organisms: patterns in the global distribution of soil euglyphid testate amoebae Biodiversity of terrestrial protozoa appears homogeneous across local and global spatial scales A statistical approach to estimate soil ciliate diversity and distribution based on data from five continents Global soil ciliate (Protozoa, Ciliophora) diversity: a probability-based approach using large sample collections from Africa, Australia and Antarctica Global-scale patterns of assemblage structure of soil nematodes in relation to climate and ecosystem properties: Global-scale patterns of soil nematode assemblage structure Molecular study of worldwide distribution and diversity of soil animals Soil rotifer communities are extremely diverse globally but spatially autocorrelated locally Global decomposition experiment shows soil animal impacts on decomposition are climatedependent The tropics as an ancient cradle of oribatid mite diversity First comparison of quantitative estimates of termite biomass and abundance reveals strong intercontinental differences Predicting potential impacts of climate change on the geographical distribution of enchytraeids: a meta-analysis approach Global patterns in root decomposition: comparisons of climate and litter quality effects Global negative effects of nitrogen deposition on soil microbes Stoichiometry of microbial carbon use efficiency in soils Contribution of soil respiration to the global carbon equation Vegetation and soil respiration: Correlations and controls Global analysis of agricultural soil denitrification in response to fertilizer nitrogen Development and analysis of the Soil Water Infiltration Global database Global drivers and patterns of microbial abundance in soil: Global patterns of soil microbial biomass Biotically driven vegetation mosaics in grazing ecosystems: the battle between bioturbation and biocompaction Soil biota contributions to soil aggregation Climate change mitigation: A spatial analysis of global land suitability for clean development mechanism afforestation and reforestation A global analysis of the hydrologic dimensions of climate change mitigation through afforestation / reforestation Research on Geographical Environment Unit Division Based on the Method of Natural Breaks (Jenks). ISPRS -International Archives of the Photogrammetry An Ecoregion-Based Approach to Protecting Half the Terrestrial Realm