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May 9, 2026Numerical Analysis and Applications0 citations

Stochastic Modeling of Population Dynamics Taking into Account Spatial Heterogeneity and Local Constraints on Reproduction of Individuals

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KLK.K. LoginovNPN.V. PertsevVTV.A. Topchii

Key Points

  • This research aims to model the dynamics of a population considering spatial variations and reproduction limits.
  • Developed a continuous-discrete stochastic model with two interconnected compartments for individuals.
  • Used a Monte Carlo method for probabilistic formalization and numerical simulations.
  • Adapted movement dynamics and reproduction processes based on time-dependent functions.
  • Simulated population growth shows the influence of reproduction centers on population dynamics.
  • Fission occurs until the descent threshold is reached, affecting overall population stability.
  • The dynamics vary significantly with different parameter settings in the model.

Abstract

A continuous-discrete stochastic model describing the dynamics of a spatially heterogeneous population is presented. The individuals of the population are located in a system consisting of two interconnected compartments. The individuals move between the compartments along unidirectional pipes. The duration of individual motion along the pipes is specified by constants or functions depending on time. The individuals located in the second compartment can contact one of the reproduction centers located in this compartment. As a result of contact with a reproduction center, an individual begins the process of fission. The reproduction of the individuals arising due to fission occurs until the number of descendants exceeds a threshold level; otherwise the reproduction of individuals ends. The population formed after the completion of fission contains descendant individuals that are not subject to fission and leave the system over time. The assumptions of the model are formulated, a probabilistic formalization of the model and an algorithm of numerical modeling based on a Monte Carlo method are given. The results of a computational experiment to simulate the dynamics of the population versus the parameters of the model are presented.

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Cite This Study

Loginov et al. (2026) studied this question.

synapsesocial.com/papers/69fecf49b9154b0b82876401https://doi.org/10.1134/s1995423926010040
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