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betapart (version 1.1-2)

beta.multi: Multiple-site dissimilarities

Description

Computes 3 multiple-site dissimilarities accounting for the spatial turnover and the nestedness components of beta diversity, and the sum of both values

Usage

beta.multi(x, index.family="sorensen")

Arguments

x
data frame, where rows are sites and columns are species. Alternatively x can be a betapart object derived from the betapart.core function
index.family
family of dissimilarity indices, partial match of "sorensen" or "jaccard".

Value

  • The function returns a list with the three multiple site dissimilarity values. For index.family="sorensen" the three indices are:
  • beta.SIMvalue of the turnover component, measured as Simpson dissimilarity
  • beta.SNEvalue of the nestedness component, measured as Nestedness-resultant fraction of Sorensen dissimilarity
  • beta.SORvalue of the overall beta diversity, measured as Sorensen dissimilarity
  • For index.family="jaccard" the three indices are:
  • beta.JTUvalue of the turnover component, measured as turnover fraction of Jaccard dissimilarity
  • beta.JNEvalue of the nestedness component, measured as Nestedness-resultant fraction of Jaccard dissimilarity
  • beta.JACvalue of the overall beta diversity, measured as Jaccard dissimilarity

encoding

utf8

References

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, in press

See Also

beta.pair, beta.sample, betapart.core, beta.temp

Examples

Run this code
data(ceram.s)
ceram.beta<-beta.multi(ceram.s, index.family="sor")

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