Variation partitioning in double-constrained multivariate analyses: linking communities, environment, space, functional traits, and ecological niches.

ABSTRACT: Constrained multivariate analysis is a common tool for linking ecological communities to environment. The follow-up is the development of the double-constrained correspondence analysis (dc-CA), integrating traits as species-related predictors. Further, methods have been proposed to integrate information on phylogenetic relationships and space variability. We expand this framework, proposing a dc-CA-based algorithm for decomposing variation in community structure and testing the simple and conditional effects of four sets of predictors: environment characteristics and space configuration as predictors related to sites, while traits and niche (dis)similarities as species-related predictors. In our approach, ecological niches differ from traits in that the latter are distinguished by and char

SUBMITTER: Sirbu I 

PROVIDER: S-EPMC8445867 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature