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Eco-evolutionary Logic of Mutualisms

Author

Listed:
  • Chaitanya S. Gokhale

    (Center for Computational and Theoretical Biology
    Massey University
    Max Planck Institute for Evolutionary Biology)

  • Marcus Frean

    (Victoria University of Wellington)

  • Paul B. Rainey

    (Massey University
    Max Planck Institute for Evolutionary Biology
    Université PSL)

Abstract

Mutualistic interactions among members of different species are common, seemingly stable, and thus apparently enduring. This is at odds with standard mathematical models based solely on between-species interactions, which show mutualisms to be inherently unstable. Models incorporating parameters for punishment and reward strategies demonstrate that the range of conditions over which stability is observed can be extended; however, the role of community-level dynamics impacted by within-species interactions remains relatively unexplored. Here we develop a general and readily applicable approach for analysing a broad range of mutualisms. By incorporating within-species interactions, we show that mutualisms can be stably maintained across diverse environmental conditions without introducing changes to between-species interaction parameters. Further, a balance of within- and between-species interactions is sufficient to allow the persistence of mutualisms encountering ecological perturbations. Our simple and robust framework resonates with emerging empirical data highlighting the role of community-level interactions and population dynamics in maintaining mutualisms.

Suggested Citation

  • Chaitanya S. Gokhale & Marcus Frean & Paul B. Rainey, 2023. "Eco-evolutionary Logic of Mutualisms," Dynamic Games and Applications, Springer, vol. 13(4), pages 1066-1087, December.
    • Handle: RePEc:spr:dyngam:v:13:y:2023:i:4:d:10.1007_s13235-023-00533-8
    DOI: 10.1007/s13235-023-00533-8
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    References listed on IDEAS

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    1. E. Toby Kiers & Robert A. Rousseau & Stuart A. West & R. Ford Denison, 2003. "Host sanctions and the legume–rhizobium mutualism," Nature, Nature, vol. 425(6953), pages 78-81, September.
    2. Gokhale, Chaitanya S. & Hauert, Christoph, 2016. "Eco-evolutionary dynamics of social dilemmas," Theoretical Population Biology, Elsevier, vol. 111(C), pages 28-42.
    3. Chamberland, Marc & Cressman, Ross, 2000. "An Example of Dynamic (In)Consistency in Symmetric Extensive Form Evolutionary Games," Games and Economic Behavior, Elsevier, vol. 30(2), pages 319-326, February.
    4. Hubertus J. E. Beaumont & Jenna Gallie & Christian Kost & Gayle C. Ferguson & Paul B. Rainey, 2009. "Experimental evolution of bet hedging," Nature, Nature, vol. 462(7269), pages 90-93, November.
    5. Andrew R. Tilman & Joshua B. Plotkin & Erol Akçay, 2020. "Evolutionary games with environmental feedbacks," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    6. Ross Cressman & Andrea Gaunersdorfer & Jean-François Wen, 2000. "Evolutionary And Dynamic Stability In Symmetric Evolutionary Games With Two Independent Decisions," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 2(01), pages 67-81.
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    Cited by:

    1. Christian Hilbe & Maria Kleshnina & Kateřina Staňková, 2023. "Evolutionary Games and Applications: Fifty Years of ‘The Logic of Animal Conflict’," Dynamic Games and Applications, Springer, vol. 13(4), pages 1035-1048, December.

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