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Evolution of environmentally mediated social interactions under isolation by distance

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  • Peña, Jorge
  • Mullon, Charles
  • Lehmann, Laurent

Abstract

Many social interactions happen indirectly via modifications of environmental variables, e.g. through the depletion of renewable resources or the secretion of functional compounds. Here, we derive the selection gradient on a quantitative trait affecting the dynamics of such environmental vari-ables that feedback on reproduction and survival in a patch-structured population that is finite, of con-stant size, and subject to isolation by distance. Our analysis shows that the selection gradient depends on how a focal individual influences the fitness of all future individuals in the population through modifications of the environmental variables they experience, weighted by the neutral relatedness be-tween recipients and the focal. The evolutionarily relevant trait-driven environmental modifications are formalized as the extended phenotypic effects of an individual, which quantify how a trait change in the individual in the present affects the environmental variables in all patches at all future times. When the trait affects reproduction and survival through some payoff function, the selection gradient can be expressed in terms of extended phenotypic effects weighted by scaled-relatedness coefficients. We show how to compute extended phenotypic effects, relatedness, and scaled-relatedness coefficients using Fourier analysis, allowing us to investigate a broad class of environmentally mediated social in-teractions in a tractable way. We illustrate our approach by studying the evolution of a trait controlling the costly production of some lasting commons (e.g. a common-pool resource or a toxic compound) that can diffuse in space. We show that whether selection favours environmentally mediated altruism or spite depends on the spatial correlation between an individual’s lineage and the commons originat-ing from its patch. The sign of this correlation depends on interactions between dispersal patterns and the commons’ renewal dynamics. More broadly, we suggest that selection can favour a wide range of social behaviours when these are mediated in space and time through environmental feedback.

Suggested Citation

  • Peña, Jorge & Mullon, Charles & Lehmann, Laurent, 2023. "Evolution of environmentally mediated social interactions under isolation by distance," IAST Working Papers 23-156, Institute for Advanced Study in Toulouse (IAST).
  • Handle: RePEc:tse:iastwp:128557
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    References listed on IDEAS

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    1. Oded Galor, 2007. "Discrete Dynamical Systems," Springer Books, Springer, edition 1, number 978-3-540-36776-5, September.
    2. István Scheuring, 2014. "Diffusive Public Goods and Coexistence of Cooperators and Cheaters on a 1D Lattice," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-11, July.
    3. Hisashi Ohtsuki & Christoph Hauert & Erez Lieberman & Martin A. Nowak, 2006. "A simple rule for the evolution of cooperation on graphs and social networks," Nature, Nature, vol. 441(7092), pages 502-505, May.
    4. repec:hhs:iuiwop:487 is not listed on IDEAS
    5. Jorgen W. Weibull, 1997. "Evolutionary Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262731215, December.
    6. Peter D. Taylor & Troy Day & Geoff Wild, 2007. "Evolution of cooperation in a finite homogeneous graph," Nature, Nature, vol. 447(7143), pages 469-472, May.
    7. Van Cleve, Jeremy, 2015. "Social evolution and genetic interactions in the short and long term," Theoretical Population Biology, Elsevier, vol. 103(C), pages 2-26.
    8. 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.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Adaptive dynamics; Metacommunity; Extended Phenotype; Altruism; Spite;
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