beta.multi {betapart}

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.SIM

value of the turnover component, measured as Simpson dissimilarity

beta.SNE

value of the nestedness component, measured as nestedness-resultant fraction of Sorensen dissimilarity

beta.SOR

value of the overall beta diversity, measured as Sorensen dissimilarity

For index.family="jaccard" the three indices are:

beta.JTU

value of the turnover component, measured as turnover fraction of Jaccard dissimilarity

beta.JNE

value of the nestedness component, measured as nestedness-resultant fraction of Jaccard dissimilarity

beta.JAC

value of the overall beta diversity, measured as Jaccard dissimilarity

Author(s)

Andrés Baselga and David Orme

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

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