betaFD: Functional betadiversity

In ibartomeus/fundiv: tools to calculate several functional trait diversity indexes

Description

Calculate functional trait beta diversity for two communities using Petchey and Gaston 2002 index and Carvalho et al. 2012 decomposition.

Usage

betaFD(c1, c2, S, Tree = NULL)

Arguments

c1	vector containing the species names in the first community. NA not tolerated. In addition, the species labels in c1 and S must be identical.
c2	vector containing the species names in the first community. NA not tolerated. In addition, the species labels in c2 and S must be identical.
S	matrix or data frame of functional traits. Traits can be numeric, ordered, or factor. NAs are tolerated. All species in c1 and c2 should be present with no extra species. Species should be ordered alphabetically.

Value

Btot Total Betadiversity

B_3 Beta diversity due to replacement

Brich Beta diversity due to richness diferences

quality the ouptput will print the quality of the dendogram representation. clustering performance is assessed by the correlation with the cophenetic distance

Examples

ex1 <- betaFD(c1 = c("sp3", "sp2", "sp1", "sp4", "sp5"), c2 = c("sp6", "sp7", "sp8", "sp4", "sp5"), S = dummy$trait)
ex1

ibartomeus/fundiv documentation built on May 18, 2019, 1:29 a.m.