id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-009716-oxahu8nz	Lawes, Roger A.	Comparing agglomerative clustering and three weed classification frameworks to assess the invasiveness of alien species across spatial scales	2006-10-27		.txt	text/plain	6002	308	51	A combination of three published weed classification frameworks and multivariate techniques were employed to classify species based on their frequency and cover at a range of spatial scales. (2000) ; Colautti & MacIsaac (2004) ; Davis & Thompson (2000) Introduction Barrier based on three distinct characteristics: dispersal distance (short/ long), uniqueness (novel/common to the region colonized), and impact on the new environment (small/great) ( Table 1 ). The data requirements necessary to implement the frameworks vary, although each draws heavily on frequency and abundance information to classify the invasive characteristics of a species. We propose evaluating weed invasions as part of a larger, existing plant community where invasive species are classified based on their relative abundance, frequency, and cover at local and landscape scales. Colautti & MacIsaac (2004)'s classification system is largely devised around concepts of frequency and abundance and it was a relatively simple process to classify species based on the survey data, where cover provided a surrogate measure of abundance.	./cache/cord-009716-oxahu8nz.txt	./txt/cord-009716-oxahu8nz.txt