Computes 3 distance matrices accounting for the (i) balanced variation in abundances, (ii) abundance gradients, and (iii) total dissimilarity (i.e. the sum of both components).
beta.pair.abund(x, index.family = "bray")The function returns a list with three dissimilarity matrices.
For index.family="bray" the three matrices are:
dist object, dissimilarity matrix accounting for the dissimilarity derived from balanced variation in abundance between sites
dist object, dissimilarity matrix accounting for the dissimilarity derived from unidirectional abundance gradients
dist object, dissimilarity matrix accounting for total abundance-based dissimilarity between sites, measured as the Bray-Curtis index
For index.family="ruzicka" the three matrices are:
dist object, dissimilarity matrix accounting for the dissimilarity derived from balanced variation in abundance between sites
dist object, dissimilarity matrix accounting for the dissimilarity derived from unidirectional abundance gradients
dist object, dissimilarity matrix accounting for total abundance-based dissimilarity between sites, measured as the Ruzicka index
data frame, where rows are sites and columns are species. Alternatively x can be a betapart.abund object derived from the betapart.core.abund function
family of dissimilarity indices, partial match of "bray" or "ruzicka".
Andrés Baselga
Baselga, A. 2013. Separating the two components of abundance-based dissimilarity: balanced changes in abundance vs. abundance gradients. Methods in Ecology and Evolution 4: 552–557
Legendre, P. 2014. Interpreting the replacement and richness difference components of beta diversity. Global Ecology and Biogeography, 23: 1324–1334
beta.multi.abund, beta.sample.abund, betapart.core.abund, beta.pair
require(vegan)
data(BCI)
BCI.pair<-beta.pair.abund(BCI, index.family="bray")
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