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Metacommunities, fitness and gradual evolution

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  • Priklopil, Tadeas
  • Lehmann, Laurent

Abstract

We analyze the evolution of a multidimensional quantitative trait in a class-structured focal species interacting with other species in a wider metacommunity. The evolutionary dynamics in the focal species as well as the ecological dynamics of the whole metacommunity is described as a continuous-time process with birth, physiological development, dispersal, and death given as rates that can depend on the state of the whole metacommunity. This can accommodate complex local community and global metacommunity environmental feedbacks owing to inter- and intra-specific interactions, as well as local environmental stochastic fluctuations. For the focal species, we derive a fitness measure for a mutant allele affecting class-specific trait expression. Using classical results from geometric singular perturbation theory, we provide a detailed proof that if the effect of the mutation on phenotypic expression is small (“weak selection†), the large system of dynamical equations needed to describe selection on the mutant allele in the metacommunity can be reduced to a single ordinary differential equation on the arithmetic mean mutant allele frequency that is of constant sign. This invariance on allele frequency entails the mutant either dies out or will out-compete the ancestral resident (or wild) type. Moreover, the directional selection coefficient driving arithmetic mean allele frequency can be expressed as an inclusive fitness effect calculated from the resident metacommunity alone, and depends, as expected, on individual fitness differentials, relatedness, and reproductive values. This formalizes the Darwinian process of gradual evolution driven by random mutation and natural selection in spatially and physiologically class-structured metacommunities.

Suggested Citation

  • Priklopil, Tadeas & Lehmann, Laurent, 2021. "Metacommunities, fitness and gradual evolution," Theoretical Population Biology, Elsevier, vol. 142(C), pages 12-35.
  • Handle: RePEc:eee:thpobi:v:142:y:2021:i:c:p:12-35
    DOI: 10.1016/j.tpb.2021.09.002
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    References listed on IDEAS

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    1. Parvinen, Kalle, 2013. "Joint evolution of altruistic cooperation and dispersal in a metapopulation of small local populations," Theoretical Population Biology, Elsevier, vol. 85(C), pages 12-19.
    2. Svardal, Hannes & Rueffler, Claus & Hermisson, Joachim, 2015. "A general condition for adaptive genetic polymorphism in temporally and spatially heterogeneous environments," Theoretical Population Biology, Elsevier, vol. 99(C), pages 76-97.
    3. Fabio Dercole & Sergio Rinaldi, 2008. "Introduction to Analysis of Evolutionary Processes: The Adaptive Dynamics Approach and Its Applications," Introductory Chapters, in: Analysis of Evolutionary Processes: The Adaptive Dynamics Approach and Its Applications, Princeton University Press.
    4. Alger, Ingela & Lehmann, Laurent & Weibull, Jörgen W., 2015. "Does evolution lead to maximizing behavior?," TSE Working Papers 15-561, Toulouse School of Economics (TSE).
    5. Priklopil, Tadeas & Lehmann, Laurent, 2020. "Invasion implies substitution in ecological communities with class-structured populations," Theoretical Population Biology, Elsevier, vol. 134(C), pages 36-52.
    6. Geoff Wild & Andy Gardner & Stuart A. West, 2009. "Adaptation and the evolution of parasite virulence in a connected world," Nature, Nature, vol. 459(7249), pages 983-986, June.
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    Cited by:

    1. Ingela Alger & Laurent Lehmann, 2023. "Evolution of Semi-Kantian Preferences in Two-Player Assortative Interactions with Complete and Incomplete Information and Plasticity," Dynamic Games and Applications, Springer, vol. 13(4), pages 1288-1319, December.
    2. Giaimo, Stefano, 2022. "Selection on age-specific survival: Constant versus fluctuating environment," Theoretical Population Biology, Elsevier, vol. 145(C), pages 136-149.
    3. Avila, Piret & Lehmann, Laurent, 2023. "Life history and mutation rate joint evolution," IAST Working Papers 23-151, Institute for Advanced Study in Toulouse (IAST).

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