betapart (version 1.2)

bray.part: Partitioning pair-wise Bray-Curtis dissimilarities

Description

Computes 3 distance matrices accounting for the balanced variation and abundance gradient components of Bray-Curtis dissimilarity, and the sum of both values (i.e. Bray-Curtis dissimilarity)

Usage

bray.part(x)

Arguments

x

data frame of species abundances, where rows are sites and columns are species.

Value

• The function returns a list with three dissimilarity matrices.
• bray.bal
  dist object, dissimilarity matrix accounting for the dissimilarity derived from balanced variation in abundance between sites
• bray.gra
  dist object, dissimilarity matrix accounting for the dissimilarity derived from unidirectional abundance gradients
• bray
  dist object, dissimilarity matrix accounting for total abundance-based dissimilarity between sites, measured as the Bray-Curtis index

encoding

utf8

References

Baselga, A. in press. Separating the two components of abundance-based dissimilarity: balanced changes in abundance vs. abundance gradients. Methods in Ecology and Evolution. DOI: 10.1111/2041-210X.12029

See Also

beta.pair

Examples

require(vegan)
data(BCI)
BCI.matrices<-bray.part(BCI)