Computes 3 multiple-site dissimilarities accounting for the (i) balanced variation and (ii) abundance gradient components of dissimilarity, and the sum of both values (i.e. total abundance-based dissimilarity)
beta.multi.abund(x, index.family="bray")The function returns a list with the three multiple site dissimilarity values.
For index.family="bray" the three indices are:
value of the balanced variation component of Bray-Curtis multiple-site dissimilarity
value of the abundance-gradient component of Bray-Curtis multiple-site dissimilarity
value of the overall dissimilarity, measured as Bray-Curtis multiple-site dissimilarity
For index.family="ruzicka" the three indices are:
value of the balanced variation component of Ruzicka multiple-site dissimilarity
value of the abundance-gradient component of Ruzicka multiple-site dissimilarity
value of the overall dissimilarity, measured as Ruzicka multiple-site dissimilarity
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. 2017. Partitioning abundance-based multiple-site dissimilarity into components: balanced variation in abundance and abundance gradients. Methods in Ecology and Evolution 8: 799-808
beta.pair.abund, beta.sample.abund, betapart.core.abund, beta.multi
require(vegan)
data(BCI)
beta.multi.abund(BCI, index.family="bray")
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