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Diversity and Coevolutionary Dynamics in High-Dimensional Phenotype Spaces.

Michael Doebeli, Iaroslav Ispolatov

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    Macroevolutionary dynamics become faster and less stable with more lineages, eventually stabilizing as diversity saturates. Higher dimensional phenotype spaces exponentially increase this saturation diversity.

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    Area of Science:

    • Evolutionary biology
    • Theoretical ecology
    • Macroevolution

    Background:

    • Microevolutionary competition models can exhibit nonstationary and chaotic dynamics in high-dimensional phenotype spaces.
    • Evolutionary diversification can occur along nonequilibrium trajectories.

    Purpose of the Study:

    • To investigate long-term coevolutionary dynamics of emerging lineages in multidimensional phenotype spaces.
    • To combine insights from microevolutionary competition and nonequilibrium diversification.

    Main Methods:

    • Statistical analysis of evolutionary dynamics across various systems.
    • Extending microevolutionary competition models to long timescales.
    • Modeling coevolutionary dynamics in multidimensional phenotype spaces.

    Main Results:

    • Coevolutionary dynamics are fast and nonstationary with intermediate lineage numbers, stabilizing as diversity saturates.
    • Saturation diversity increases exponentially with phenotype space dimension.
    • The number of coexisting lineages influences the speed and stationarity of evolutionary dynamics.

    Conclusions:

    • Macroevolutionary patterns like adaptive radiation are influenced by phenotype space dimensionality and lineage interactions.
    • The study provides a theoretical framework for understanding the evolution of diversity and long-term phenotypic change.
    • Results suggest a link between community diversity, evolutionary rates, and the complexity of the phenotype space.