4.5 Article

Measuring the contribution of evolution to community trait structure in freshwater zooplankton

Journal

OIKOS
Volume 130, Issue 10, Pages 1773-1787

Publisher

WILEY
DOI: 10.1111/oik.07885

Keywords

community trait structure; Daphnia magna; eco-evolutionary dynamics; evolutionary ecology; trait-based ecology; zooplankton

Categories

Funding

  1. KU Leuven Research Council [PF/2010/07, C16/17/002]
  2. FWO [G0B9818, G0C3818]
  3. KU Leuven Research Fund [F+ 13036]
  4. IWT PhD fellowship
  5. University of Zurich Research Priority Program on 'Global Change and Biodiversity'

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There are limited predictions on when evolutionary processes are likely to impact community features. Research indicates that community diversity and phenotypic divergence are better predictors of the impact of evolution on community trait values, compared to environmental features or genetic properties of evolving species. The study highlights the importance of ecological context for understanding the role of evolution in shaping community features.
There are currently few predictions about when evolutionary processes are likely to play an important role in structuring community features. Determining predictors that indicate when evolution is expected to impact ecological processes in natural landscapes can help researchers identify eco-evolutionary 'hotspots', where eco-evolutionary interactions are more likely to occur. Using data collected from a survey in freshwater cladoceran communities, landscape population genetic data and phenotypic trait data measured in a common garden, we applied a Bayesian linear model to assess whether the impact of local trait evolution in the keystone species Daphnia magna on cladoceran community trait values could be predicted by population genetic properties (within-population genetic diversity, genetic distance among populations), ecological properties (Simpson's diversity, phenotypic divergence) or environmental divergence. We found that the impact of local trait evolution varied among communities. Moreover, community diversity and phenotypic divergence were found to be better predictors of the contribution of evolution to community trait values than environmental features or genetic properties of the evolving species. Our results thus indicate the importance of ecological context for the impact of evolution on community features. Our study also demonstrates one way to detect signatures of eco-evolutionary interactions in communities inhabiting heterogeneous landscapes using survey data of contemporary ecological and evolutionary structure.

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