Computes 3 multiple-site dissimilarities accounting for the spatial turnover and the nestedness components of beta diversity, and the sum of both values
beta.multi(x, index.family="sorensen")The function returns a list with the three multiple site dissimilarity values.
For index.family="sorensen" the three indices are:
value of the turnover component, measured as Simpson dissimilarity
value of the nestedness component, measured as nestedness-resultant fraction of Sorensen dissimilarity
value of the overall beta diversity, measured as Sorensen dissimilarity
For index.family="jaccard" the three indices are:
value of the turnover component, measured as turnover fraction of Jaccard dissimilarity
value of the nestedness component, measured as nestedness-resultant fraction of Jaccard dissimilarity
value of the overall beta diversity, measured as Jaccard dissimilarity
data frame, where rows are sites and columns are species. Alternatively x can
be a betapart object derived from the betapart.core function
family of dissimilarity indices, partial match of "sorensen" or "jaccard".
Andrés Baselga and David Orme
Baselga, A. 2010. Partitioning the turnover and nestedness components of beta diversity. Global Ecology and Biogeography 19:134-143
Baselga, A. 2012. The relationship between species replacement, dissimilarity derived from nestedness, and nestedness. Global Ecology and Biogeography 21, 1223-1232
beta.pair, beta.sample, betapart.core, beta.temp
data(ceram.s)
ceram.beta<-beta.multi(ceram.s, index.family="sor")
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