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Multimorph Eco-Evolutionary Dynamics in Structured Populations.

Sébastien Lion, Mike Boots, Akira Sasaki

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    This summary is machine-generated.

    This study introduces an oligomorphic approximation for class-structured populations, enabling joint analysis of ecological dynamics and multimodal trait distributions under frequency-dependent selection. It predicts short-term and long-term eco-evolutionary outcomes.

    Keywords:
    adaptive dynamicsenvironmental feedbacksquantitative geneticsreproductive valuetimescales

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    Area of Science:

    • Evolutionary Biology
    • Theoretical Ecology
    • Population Genetics

    Background:

    • Understanding quantitative trait evolution is limited by challenges in modeling realistic trait distributions with frequency-dependent selection and ecological feedbacks.
    • Existing approaches often struggle to jointly describe ecological dynamics and the evolution of complex, multimodal trait distributions.

    Purpose of the Study:

    • To extend the oligomorphic approximation to class-structured populations for a unified eco-evolutionary framework.
    • To enable the joint description of ecological variables and moments of multimodal trait distributions.
    • To analyze eco-evolutionary dynamics in populations with multiple morphs and distinct classes.

    Main Methods:

    • Extension of the oligomorphic approximation to class-structured populations.
    • Development of a theoretical framework for joint eco-evolutionary dynamics.
    • Introduction of a reproductive value approximation to simplify dynamics.
    • Application to two-habitat migration-selection models.

    Main Results:

    • The extended framework successfully analyzes populations with multiple morphs and distinct classes (e.g., age, size, habitats).
    • The approach predicts both long-term evolutionary endpoints and short-term transient dynamics, including fast evolution.
    • Application to migration-selection models demonstrates the framework's effectiveness.

    Conclusions:

    • The oligomorphic approximation provides a powerful tool for studying complex eco-evolutionary dynamics in structured populations.
    • This framework bridges adaptive dynamics and quantitative genetics, offering insights into trait evolution under ecological feedbacks.
    • The study highlights the potential for predicting diverse evolutionary trajectories and informs future theoretical and empirical research.