4.7 Article

Environmental drivers of taxonomic and functional variation in zooplankton diversity and composition in freshwater lakes across Canadian continental watersheds

期刊

LIMNOLOGY AND OCEANOGRAPHY
卷 67, 期 5, 页码 1081-1097

出版社

WILEY
DOI: 10.1002/lno.12058

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资金

  1. Natural Sciences and Engineering Research Council (NSERC, Canada)
  2. Department of Fisheries and Oceans
  3. NSERC Discovery Grant
  4. Canada Research Chair Program
  5. University of Quebec at Montreal
  6. Fonds de recherche-nature et technologie (FRQNT, Quebec)

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Canada has a fragmented understanding of the ecological status of its lakes, which are home to many bioindicators called zooplankton. Factors like lake morphometry and water quality significantly influence the diversity and composition of zooplankton communities. The effect of environmental drivers on zooplankton varies across different continental watersheds in Canada.
Canada is home to more lakes than any other nation, but there is a fragmented and limited understanding of the ecological status of these water bodies. Zooplankton are excellent bioindicators of lake health, given their central food web position. To date, many studies have investigated the effect of individual stressors on zooplankton communities, mediated through changes in water quality (e.g., macronutrients, temperature, or chemicals). Increasingly, stressors act simultaneously in lakes, often over extended periods of time. As part of the NSERC Canadian Lake Pulse Network project, pelagic zooplankton were sampled in 624 lakes across Canada, spanning six continental drainage basins. We evaluated the effect of 40+ environmental variables on zooplankton diversity and community composition, considering both taxonomic and functional approaches. We also tested specific hypotheses on the relationships between zooplankton communities and environmental conditions, including eutrophication, calcium, chloride, and fish predation. We found that lake morphometry variables were among the most important predictors of zooplankton diversity, while water quality metrics were more critical in explaining variation in community composition. Our results also reveal significant heterogeneity across Canada, with contrasting effects of environmental drivers among continental watersheds, highlighting that response models cannot be assumed to apply universally.

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