4.3 Article

Analyzing environmental-trait interactions in ecological communities with fourth-corner latent variable models

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Summary: The study revealed that the double constrained correspondence analysis (dc-CA) and CWM-RDA analysis methods can identify the relationships between benthic macroinvertebrate communities and environmental factors, with dc-CA being more effective than CWM-RDA. Traits such as aquatic stages, reproduction techniques, dispersal tactics, locomotion, and substrate relations were found to be associated with pollutants and water quality measurements. The dc-CA analysis showed that the set of environmental variables was more effective in explaining the community data than the trait set.

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