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Logistic dynamics of small populations with demographic stochasticity

Lucas M. Brugevin and Damián H. Zanette*,†

  • *Present address: Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina.
  • †Contact author: damian.zanette@ib.edu.ar
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Phys. Rev. E 113, 054315 – Published 26 May, 2026

DOI: https://doi.org/10.1103/rt9k-tm2q

Abstract

We study an ecology-inspired model for a population of bounded size, whose dynamics is governed by random birth, death, and immigration events. Stochastic fluctuations in the number of individuals give rise to a succession of alternating active and vacant periods, where the population is, respectively, extant and extinct. Using both analytical and numerical techniques, we characterize the statistics of the two kinds of period, quantifying their duration and frequency, and the typical population sizes in active periods. In sharp contrast to the deterministic mean-field behavior, governed by logistic dynamics, active periods may exhibit pronounced bimodality: either short durations with very small populations, or much longer durations with population sizes close to the maximum. We also investigate how these results change when the population evolves on random networks of three classes: Erdős-Rényi, regular, and geographic. The main effect of the network structure is to induce population clustering, with individuals aggregated into localized groups. This, in turn, limits population growth and increases the frequency of vacant periods.

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Phys. Rev. E 113, 054315– Published 26 May, 2026
  • Received 10 November 2025
  • Accepted 11 May 2026
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