Spinal study of a population model for colonial species with interactions and environmental noise

We introduce and study a stochastic model for the dynamics of colonial species, which reproduce through fission or fragmentation. The fission rate depends on the relative sizes of colonies in the population, and the growth rate of colonies is influenced by intrinsic and environmental stochasticities. Our setting thus captures the effect of an external noise, correlating the trait dynamics of all colonies. In particular, we study the effect of the strength of this correlation on the distribution of resources between colonies. We then extend this model to a large class of structured branching processes with interactions in which the particle type evolves according to a diffusion. The branching and death rates are general functions of the whole population. In this framework, we derive a ψ -spine construction and a Many-to-One formula, extending previous works on interacting branching processes. Using this spinal construction, we also propose an alternative simulation method and illustrate its efficiency on the colonial population model. The extended framework we propose can model various ecological systems with interactions, and individual and environmental noises.

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Publication Details

Journal
Stochastic Processes and their Applications
Published
2026-02-21
DOI
https://doi.org/10.1016/j.spa.2026.104923
Primary Topic
Stochastic processes and statistical mechanics
Type
article
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article

Spinal study of a population model for colonial species with interactions and environmental noise

Stochastic Processes and their Applications
Stochastic processes and statistical mechanics
article

Spinal study of a population model for colonial species with interactions and environmental noise

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Abstract

We introduce and study a stochastic model for the dynamics of colonial species, which reproduce through fission or fragmentation. The fission rate depends on the relative sizes of colonies in the population, and the growth rate of colonies is influenced by intrinsic and environmental stochasticities. Our setting thus captures the effect of an external noise, correlating the trait dynamics of all colonies. In particular, we study the effect of the strength of this correlation on the distribution of resources between colonies. We then extend this model to a large class of structured branching processes with interactions in which the particle type evolves according to a diffusion. The branching and death rates are general functions of the whole population. In this framework, we derive a ψ -spine construction and a Many-to-One formula, extending previous works on interacting branching processes. Using this spinal construction, we also propose an alternative simulation method and illustrate its efficiency on the colonial population model. The extended framework we propose can model various ecological systems with interactions, and individual and environmental noises.

Stochastic Processes and their ApplicationsVol. 196
Centre National de la Recherche Scientifique (FR), Université de Lille (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Unité Évolution, Écologie et Paléontologie (FR), Université Grenoble Alpes (FR)
Life in Land
Openalex Percentile: Top 42%
Stochastic processes and statistical mechanics
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