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    Finite-size scaling of survival statistics in metapopulation models

    Alice Doimo1,2,*, Giorgio Nicoletti3,4, Davide Bernardi1,2, and Prajwal Padmanabha5

    • 1Laboratory of Interdisciplinary Physics, Department of Physics and Astronomy “G. Galilei”, University of Padova, Via Marzolo 8, 35131 Padova, Italy
    • 2National Biodiversity Future Center, Piazza Marina 61, 90133 Palermo, Italy
    • 3Quantitative Life Sciences section, The Abdus Salam International Center for Theoretical Physics (ICTP), Trieste, Italy
    • 4ECHO Laboratory, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
    • 5Department of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland

    • *Contact author: alice.doimo@phd.unipd.it

    Phys. Rev. E 111, 064415 – Published 20 June, 2025

    DOI: https://doi.org/10.1103/6tfm-qnln

    Abstract

    Spatial metapopulation models are fundamental to theoretical ecology, enabling us to study how landscape structure influences global species dynamics. Traditional models, including recent generalizations, often rely on the deterministic limit of stochastic processes, assuming large population sizes. However, stochasticity, arising from dispersal events and population fluctuations, profoundly shapes ecological dynamics. In this work, we extend the classical metapopulation framework to account for finite populations, examining the impact of stochasticity on species persistence and dynamics. Specifically, we analyze how the limited capacity of local habitats influences survival, deriving analytical expressions for the finite-size scaling of the survival probability near the critical transition between survival and extinction. Crucially, we demonstrate that the deterministic metapopulation capacity plays a fundamental role in the statistics of survival probability and extinction time moments. These results provide a robust foundation for integrating demographic stochasticity into classical metapopulation models and their extensions.

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