A new perspective on the dynamics of fragmented populations

TL;DR

This paper introduces a deterministic approximation method to analyze the time evolution of fragmented populations, showing how large-scale population dynamics can be smooth despite local stochastic fluctuations, with practical implications for ecology.

Contribution

It presents a novel deterministic approach to model the population dynamics of fragmented habitats, extending understanding of large-scale ecological processes.

Findings

Deterministic approximation becomes exact with infinite habitats.

Global population dynamics are buffered by dispersal, reducing local fluctuations.

The method aligns well with stochastic simulations in density-dependent models.

Abstract

Understanding the time evolution of fragmented animal populations and their habitats, connected by migration, is a problem of both theoretical and practical interest. This paper presents a method for calculating the time evolution of the habitats' population size distribution from a general stochastic dynamic within each habitat, using a deterministic approximation which becomes exact for an infinite number of habitats. Fragmented populations are usually thought to be characterized by a separation of time scale between, on the one hand, colonization and extinction of habitats and, on the other hand, the local population dynamics within each habitat. The analysis in this paper suggests an alternative view: the effective population dynamic stems from a law of large numbers, where stochastic fluctuations in population size of single habitats are buffered through the dispersal pool so that the global population dynamic remains approximately smooth. For illustration, the deterministic approximation is compared to simulations of a stochastic model with density dependent local recruitment and mortality. The article is concluded with a discussion of the general implications of the results, and possible extensions of the method.