Canadian Forest Service Publications
Using null model analysis of species co-occurences to deconstruct biodiversity patterns and select indicator species. 2009. Azeria, E.T.; Fortin, D.; Hébert, C.; Peres-Neto, P.; Pothier, D.; Ruel, J.C.; Ruel, J.C. Diversity and Distributions 15: 958-971.
Year: 2009
Issued by: Laurentian Forestry Centre
Catalog ID: 30680
Language: English
Availability: PDF (request by e-mail)
Available from the Journal's Web site. †
DOI: 10.1111/j.1472-4642.2009.00613.x
† This site may require a fee
Abstract
Using total species richness to characterize biodiversity may mask multiple response patterns of species. We propose a null model analysis of species cooccurrence-based classification to identify sets of species that may have similar (within-groups) and distinct (between groups) response patterns to their environment. The classification should also provide an explicit framework for selecting indicator species with characteristic co-occurrence patterns to predict overall species richness.