beta.multi: Multiple-site dissimilarities

In betapart: Partitioning Beta Diversity into Turnover and Nestedness Components

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")

betapart documentation built on March 31, 2023, 10:29 p.m.