Combining the fourth-corner and the RLQ methods for assessing trait responses to environmental variation. Dray, S., Choler, P., Dolédec, S., Peres-Neto, P., R., Thuiller, W., Pavoine, S., & ter Braak, C., J. Ecology, 95(1):14-21, 2014. ![Combining the fourth-corner and the RLQ methods for assessing trait responses to environmental variation [link]](https://bibbase.org/img/filetypes/link.svg "link")
Website abstract bibtex Assessing trait responses to environmental gradients requires the simultaneous analysis of the information contained in three tables: L (species distribution across samples), R (environmental characteristics of samples), and Q (species traits). Among the available methods, the so-called fourth-corner and RLQ methods are two appealing alternatives that provide a direct way to test and estimate trait–environment relationships. Both methods are based on the analysis of the fourth-corner matrix, which crosses traits and environmental variables weighted by species abundances. However, they differ greatly in their outputs: RLQ is a multivariate technique that provides ordination scores to summarize the joint structure among the three tables, whereas the fourth-corner method mainly tests for individual trait–environment relationships (i.e., one trait and one environmental variable at a time). Here, we illustrate how the complementarity between these two methods can be exploited to promote new ecological knowledge and to improve the study of trait–environment relationships. After a short description of each method, we apply them to real ecological data to present their different outputs and provide hints about the gain resulting from their combined use.
@article{
title = {Combining the fourth-corner and the RLQ methods for assessing trait responses to environmental variation},
type = {article},
year = {2014},
keywords = {alps,fourth-corner matrix,functional ecology,permutation procedures,rlq tables,trait-environment relationship},
pages = {14-21},
volume = {95},
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last_modified = {2019-03-01T08:37:11.661Z},
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abstract = {Assessing trait responses to environmental gradients requires the simultaneous analysis of the information contained in three tables: L (species distribution across samples), R (environmental characteristics of samples), and Q (species traits). Among the available methods, the so-called fourth-corner and RLQ methods are two appealing alternatives that provide a direct way to test and estimate trait–environment relationships. Both methods are based on the analysis of the fourth-corner matrix, which crosses traits and environmental variables weighted by species abundances. However, they differ greatly in their outputs: RLQ is a multivariate technique that provides ordination scores to summarize the joint structure among the three tables, whereas the fourth-corner method mainly tests for individual trait–environment relationships (i.e., one trait and one environmental variable at a time). Here, we illustrate how the complementarity between these two methods can be exploited to promote new ecological knowledge and to improve the study of trait–environment relationships. After a short description of each method, we apply them to real ecological data to present their different outputs and provide hints about the gain resulting from their combined use.},
bibtype = {article},
author = {Dray, Stéphane and Choler, P and Dolédec, Sylvain and Peres-Neto, P R and Thuiller, Wilfried and Pavoine, Sandrine and ter Braak, Cajo J.F.},
journal = {Ecology},
number = {1}
}
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