Learn R Programming

betapart (version 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 21, 1223-1232

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")

Run the code above in your browser using DataLab