betastat: Multiple-Site Dissimilarity Measure for Species...

In adiv: Analysis of Diversity

Multiple-Site Dissimilarity Measure for Species Presence/Absence Data

Description

Functions betastatjac and betastatsor calculate multiple-site dissimilarity (beta diversity). The first one is derived from Jaccard coefficient of similarity and the second from Sorensen coefficient. These proposed dissimilarity indices are additively partitioned into species nestedness and turnover.

Usage

betastatjac(comm)

betastatsor(comm)

Arguments

comm	a data frame typically with communities as rows, species as columns and presence/absence (1/0) as entries.

Value

The two functions return a vector of 4 values:

beta	Ricotta and Pavoine (2015) \beta^+ relative measure of additive beta diversity (multiple-site dissimilarity);
betaT	Ricotta and Pavoine (2015) \beta_T contribution of species turnover to multiple-site dissimilarity;
betaN	Ricotta and Pavoine (2015) \beta_N contribution of species nestedness to multiple-site dissimilarity;
sim	Ricotta and Pavoine (2015) \bar{\beta}^{\times} relative measure of multiple-site similarity.

Author(s)

Sandrine Pavoine [e-mail]

References

Ricotta, C. and Pavoine, S. (2015) A multiple-site dissimilarity measure for species presence/absence data and its relationship with nestedness and turnover. Ecological Indicators, 54, 203–206.

Examples

data(RP15EI)
# Scripts used in Figure 1 of Ricotta and Pavoine (2015)
betastatjac(RP15EI$M1)
betastatjac(RP15EI$M2)
betastatjac(RP15EI$M3)
betastatjac(RP15EI$M4)

#see also
betastatsor(RP15EI$M1)
betastatsor(RP15EI$M2)
betastatsor(RP15EI$M3)
betastatsor(RP15EI$M4)

adiv documentation built on May 29, 2024, 7:11 a.m.