beta.multi.abund: Abundance-based multiple-site dissimilarities

In betapart: Partitioning Beta Diversity into Turnover and Nestedness Components

Abundance-based multiple-site dissimilarities

Description

Computes 3 multiple-site dissimilarities accounting for the (i) balanced variation and (ii) abundance gradient components of dissimilarity, and the sum of both values (i.e. total abundance-based dissimilarity)

Usage

beta.multi.abund(x, index.family="bray")

Arguments

x	data frame, where rows are sites and columns are species. Alternatively x can be a betapart.abund object derived from the betapart.core.abund function
index.family	family of dissimilarity indices, partial match of "bray" or "ruzicka".

Value

The function returns a list with the three multiple site dissimilarity values.

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

beta.BRAY.BAL	value of the balanced variation component of Bray-Curtis multiple-site dissimilarity
beta.BRAY.GRA	value of the abundance-gradient component of Bray-Curtis multiple-site dissimilarity
beta.BRAY	value of the overall dissimilarity, measured as Bray-Curtis multiple-site dissimilarity

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

beta.RUZ.BAL	value of the balanced variation component of Ruzicka multiple-site dissimilarity
beta.RUZ.GRA	value of the abundance-gradient component of Ruzicka multiple-site dissimilarity
beta.RUZ	value of the overall dissimilarity, measured as Ruzicka multiple-site dissimilarity

Author(s)

Andrés Baselga

References

Baselga, A. 2017. Partitioning abundance-based multiple-site dissimilarity into components: balanced variation in abundance and abundance gradients. Methods in Ecology and Evolution 8: 799-808

See Also

beta.pair.abund, beta.sample.abund, betapart.core.abund, beta.multi

Examples

require(vegan)
data(BCI)
beta.multi.abund(BCI, index.family="bray")

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