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Eco-evolutionary feedbacks - theoretical models and perspectives

Govaert, Lynn; Fronhofer, Emanuel A.; Lion, Sébastien; Eizaguirre, Christophe; Bonte, Dries; Egas, Martijn; Hendry, Andrew P.; Martins, Ayana de Brito; Melian, Carlos J.; Raeymaekers, Joost A. M.; Ratikainen, Irja Ida; Sæther, Bernt-Erik; Schweitzer, Jennifer A.; Matthews, Blake
Journal article, Peer reviewed
Accepted version
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URI
http://hdl.handle.net/11250/2593364
Date
2018
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  • Institutt for biologi [1646]
  • Publikasjoner fra CRIStin - NTNU [19694]
Original version
Functional Ecology. 2018, 33 13-30.   10.1111/1365-2435.13241
Abstract
Theoretical models pertaining to feedbacks between ecological and evolutionary processes are prevalent in multiple biological fields. An integrative overview is currently lacking, due to little crosstalk between the fields and the use of different methodological approaches.

Here, we review a wide range of models of eco‐evolutionary feedbacks and highlight their underlying assumptions. We discuss models where feedbacks occur both within and between hierarchical levels of ecosystems, including populations, communities and abiotic environments, and consider feedbacks across spatial scales.

Identifying the commonalities among feedback models, and the underlying assumptions, helps us better understand the mechanistic basis of eco‐evolutionary feedbacks. Eco‐evolutionary feedbacks can be readily modelled by coupling demographic and evolutionary formalisms. We provide an overview of these approaches and suggest future integrative modelling avenues.

Our overview highlights that eco‐evolutionary feedbacks have been incorporated in theoretical work for nearly a century. Yet, this work does not always include the notion of rapid evolution or concurrent ecological and evolutionary time scales. We show the importance of density‐ and frequency‐dependent selection for feedbacks, as well as the importance of dispersal as a central linking trait between ecology and evolution in a spatial context.
Publisher
Wiley
Journal
Functional Ecology

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