Analysis of Noise-Induced Deformations of Population Dynamics with an Allee Effect and Immigration

The problem of analyzing the mechanisms of variability in population dynamics caused by the combined influence of the Allee effect, immigration and random fluctuations is addressed. In this study, we explore such a multi-factorial problem based on a Ricker-type population model. For the deterministic version of the model, the transformations of system dynamic regimes caused by changes in parameters of growth rate and intensity of immigration are determined using bifurcation analysis. For the randomly forced population model, the phenomena of stochastic excitement and noise-induced temporal extinction are revealed and investigated. The parametric study of these effects uses statistical data obtained from direct numerical modeling as well as an analytical approach based on the stochastic sensitivity technique and the confidence interval method.

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Journal
Mathematics
Published
2026-02-12
DOI
https://doi.org/10.3390/math14040655
Primary Topic
stochastic dynamics and bifurcation
Type
article
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article

Analysis of Noise-Induced Deformations of Population Dynamics with an Allee Effect and Immigration

Irina Bashkirtseva, Lev Ryashko
Mathematics
stochastic dynamics and bifurcation
article

Analysis of Noise-Induced Deformations of Population Dynamics with an Allee Effect and Immigration

Irina Bashkirtseva, Lev Ryashko
article en

Abstract

The problem of analyzing the mechanisms of variability in population dynamics caused by the combined influence of the Allee effect, immigration and random fluctuations is addressed. In this study, we explore such a multi-factorial problem based on a Ricker-type population model. For the deterministic version of the model, the transformations of system dynamic regimes caused by changes in parameters of growth rate and intensity of immigration are determined using bifurcation analysis. For the randomly forced population model, the phenomena of stochastic excitement and noise-induced temporal extinction are revealed and investigated. The parametric study of these effects uses statistical data obtained from direct numerical modeling as well as an analytical approach based on the stochastic sensitivity technique and the confidence interval method.

MathematicsVol. 14(4)
Ural Federal University (RU)
Reduced inequalities
Openalex Percentile: Top 56%
stochastic dynamics and bifurcation
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