Literature DB >> 32656772

Phenotypic evolution in stochastic environments: The contribution of frequency- and density-dependent selection.

Steinar Engen1, Jonathan Wright2, Yimen G Araya-Ajoy2, Bernt-Erik Saether2.   

Abstract

Understanding how environmental variation affects phenotypic evolution requires models based on ecologically realistic assumptions that include variation in population size and specific mechanisms by which environmental fluctuations affect selection. Here we generalize quantitative genetic theory for environmentally induced stochastic selection to include general forms of frequency- and density-dependent selection. We show how the relevant fitness measure under stochastic selection relates to Fisher's fundamental theorem of natural selection, and present a general class of models in which density regulation acts through total use of resources rather than just population size. In this model, there is a constant adaptive topography for expected evolution, and the function maximized in the long run is the expected factor restricting population growth. This allows us to generalize several previous results and to explain why apparently " K -selected" species with slow life histories often have low carrying capacities. Our joint analysis of density- and frequency-dependent selection reveals more clearly the relationship between population dynamics and phenotypic evolution, enabling a broader range of eco-evolutionary analyses of some of the most interesting problems in evolution in the face of environmental variation.
© 2020 The Authors. Evolution published by Wiley Periodicals LLC on behalf of The Society for the Study of Evolution.

Entities:  

Keywords:  Adaptive topography; density-dependent selection; environmental stochasticity; frequency-dependent selection; phenotypic evolution; quantitative genetics

Mesh:

Year:  2020        PMID: 32656772     DOI: 10.1111/evo.14058

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  3 in total

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Authors:  Thomas Kvalnes; Bernt-Erik Sæther; Steinar Engen; Alexandre Roulin
Journal:  Proc Biol Sci       Date:  2022-06-01       Impact factor: 5.530

2.  Slower environmental cycles maintain greater life-history variation within populations.

Authors:  John S Park; J Timothy Wootton
Journal:  Ecol Lett       Date:  2021-09-02       Impact factor: 11.274

3.  Ancestral ecological regime shapes reaction to food limitation in the Least Killifish, Heterandria   formosa.

Authors:  Anja Felmy; Jeff Leips; Joseph Travis
Journal:  Ecol Evol       Date:  2021-04-06       Impact factor: 2.912

  3 in total

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