betapart (version 1.2)

beta.pair: Pair-wise dissimilarities

Description

Computes 3 distance matrices accounting for the spatial turnover and nestedness components of beta diversity, and the sum of both values

Usage

beta.pair(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 three dissimilarity matrices. For index.family="sorensen" the three matrices are:
• beta.sim
  dist object, dissimilarity matrix accounting for spatial turnover, measured as Simpson pair-wise dissimilarity
• beta.sne
  dist object, dissimilarity matrix accounting for nestedness-resultant dissimilarity, measured as the nestedness-fraction of Sorensen pair-wise dissimilarity
• beta.sor
  dist object, dissimilarity matrix accounting for beta diversity, measured as Sorensen pair-wise dissimilarity
• For index.family="jaccard" the three matrices are:
• beta.jtu
  dist object, dissimilarity matrix accounting for spatial turnover, measured as the turnover-fraction of Jaccard pair-wise dissimilarity
• beta.jne
  dist object, dissimilarity matrix accounting for nestedness-resultant dissimilarity, measured as the nestedness-fraction of Jaccard pair-wise dissimilarity
• beta.jac
  dist object, dissimilarity matrix accounting for beta diversity, measured as Jaccard pair-wise 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.multi, beta.sample, betapart.core, beta.temp

Examples

data(ceram.s)
ceram.dist<-beta.pair(ceram.s, index.family="jac")