ID:
publications-1233
Type:
PEER REVIEWED ARTICLE
Year:
2016
Authors:
Alban Sagouis , Franck Jabot , Christine Argillier
Title:
Taxonomic versus functional diversity metrics: how do fish communities respond to anthropogenic stressors in reservoirs?
Venue/Journal:
DOI:
10.1111/eff.12306
Research type:
Simulation & Modeling
Water System:
Natural Water Bodies
Technical Focus:
Abstract:
AbstractBiological indicators are frequently used to assess the effects of anthropogenic stressors on freshwater ecosystems. The structure of fish communities and their response to stressors have been commonly described by taxonomic richness, diversity and evenness. More recently, functional structure of communities has also been suggested to be a reliable indicator of disturbance. This article aimed at testing whether taxonomic and functional diversity metrics can provide comparable or complementary information on the response of fish communities to eutrophication and abundance of nonānative species in reservoirs. Comparison of the responses of taxonomic and functional diversities to biogeography, habitat and stressors was made in 112 French reservoirs. Widely observed effects of biogeographic and habitat variables on taxonomic and functional diversities were identified. Taxonomic and functional richness metrics notably increased with lake area and temperature respectively. Taxonomic diversity metrics did not respond to any stressor, while all functional diversity metrics were found to be impacted by nonānative species. Eutrophication was further found to decrease the impact of nonānative species on two functional diversity metrics: evenness and divergence. Our study therefore reveals that functional metrics are more sensitive than taxonomic metrics to anthropogenic stressors in the studied reservoirs. Still, the multiple linear regressions tested had overall low explanatory power. Further refinements will thus be needed to use this type of metrics in an impact assessment scheme.
Link with Projects:
603378
Link with Tools:
Related policies:
ID: