beta.temp: Temporal change in community composition

In betapart: Partitioning Beta Diversity into Turnover and Nestedness Components

Temporal change in community composition

Description

Computes the dissimilarity for each locality between time 1 and time 2, considering the turnover and nestedness components of temporal change, and the sum of both values (overall change)

Usage

beta.temp(x, y, index.family="sorensen")

Arguments

x	data frame for time 1, where rows are sites and columns are species
y	data frame for time 2, where rows are sites and columns are species. x and y must contain exactly the same sites and species
index.family	family of dissimilarity indices, partial match of "sorensen" or "jaccard".

Value

The function returns a data frame where rows are sites and columns are pairwise dissimilarity values between cell composition in time 1 and time 2. For index.family="sorensen" the indices are beta.sim, beta.sne, and beta.sor. For index.family="jaccard" the indices are beta.jtu, beta.sne, and beta.jac.

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

Examples

data(bbsData)
bbs.t <- beta.temp(bbs1980, bbs2000, index.family="sor")

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