Journal
COMMUNITY ECOLOGY
Volume 8, Issue 1, Pages 41-46Publisher
SPRINGER HEIDELBERG
DOI: 10.1556/ComEc.8.2007.1.6
Keywords
multivariate semivariogram; semivariance; spatial autocorrelation; species complementarity
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Plant communities are generally spatially structured. Therefore, in order to enhance the interpretation of distance-dependent community patterns, spatially explicit measures of beta-diversity are needed that, besides simple species turnover, are able to account for the rate at which biological similarity decays with increasing distance. We show that a multivariate semivariogram computed from species presence and absence data can be considered as a space-dependent alternative to existing definitions of beta-diversity. To illustrate how the proposed method works, we used a classical data set from a second-growth piedmont hardwood forest.
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