2025/01/29 by Sylvain Billiard, Billiard, Sylvain, Charles Medous +3
Chemistry · Mathematics · Medicine · Social Sciences · #Biological system #Biology #Branching (polymer chemistry) #Chemistry #Computer science #Demography #Ecology #Econometrics #Evolutionary Game Theory and Cooperation #FOS: Biological sciences #FOS: Mathematics #Fission #Fragmentation (computing) #Mathematical and Theoretical Epidemiology and Ecology Models #Mathematics #Nuclear physics #Physics #Population #Populations and Evolution (q-bio.PE) #Probability (math.PR) #Statistical physics #Stochastic processes and statistical mechanics #Trait
paper · pdf · doi:10.48550/arxiv.2501.17608
published in arXiv (Cornell University) (Cornell University)
openalex publication_date 2025/01/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/09
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.