Published September 15, 2021 | Version v1
Dataset Open

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

  • 1. Leibniz Institute of Freshwater Ecology and Inland Fisheries
  • 2. Netherlands Institute of Ecology
  • 3. Natuurinvest*
  • 4. American University of Paris

Description

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.

Notes

Funding provided by: KU Leuven Research Council*
Crossref Funder Registry ID:
Award Number: PF/2010/07

Funding provided by: KU Leuven Research Council*
Crossref Funder Registry ID:
Award Number: C16/17/002

Funding provided by: Fonds Wetenschappelijk Onderzoek
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100003130
Award Number: G0B9818

Funding provided by: Fonds Wetenschappelijk Onderzoek
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100003130
Award Number: G0C3818

Funding provided by: KU Leuven Research Fund*
Crossref Funder Registry ID:
Award Number: F+ 13036

Funding provided by: Agentschap voor Innovatie door Wetenschap en Technologie
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100003132
Award Number: PhD fellowship

Funding provided by: KU Leuven Research Council
Crossref Funder Registry ID:
Award Number: PF/2010/07

Funding provided by: KU Leuven Research Fund
Crossref Funder Registry ID:
Award Number: F+ 13036

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Additional details

Related works

Is derived from
10.5281/zenodo.5084865 (DOI)