betapart (version 1.5.4)

beta.temp: 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.

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

# NOT RUN {
data(bbsData)
bbs.t <- beta.temp(bbs1980, bbs2000, index.family="sor")
# }