Designing a Resilient Allee-Ornstein-Uhlenbeck model

Fuente: arXiv
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Main Authors: Gordillo, Luis F., Greenwood, Priscilla E.
Format: Preprint
Published: 2026
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author Gordillo, Luis F.
Greenwood, Priscilla E.
author_facet Gordillo, Luis F.
Greenwood, Priscilla E.
contents In stochastic population dynamics, stochastic wandering can produce transition to an absorbing state. In particular, under Allee effects, low densities amplify the possibility of population collapse. We investigate this in an Allee-Ornstein-Uhlenbeck (Allee-OU) model, that couples a bistable Allee growth equation, with demographic noise, and environmental fluctuations modeled as an Ornstein-Uhlenbeck process. This process replaces the bifurcation parameter of the deterministic Allee effect equation. In the model, small noise may induce escape from the safe basin around the positive equilibrium toward extinction. We construct a stochastic control, altering the process to have a stationary distribution. We enable tractable control design, approximating the process by one with a stationary distribution. Two controlled models are developed, one acting directly on population size and another also modulating the environment. A threshold-based implementation minimizes the frequency of interventions while maximizing safe time. Simulations demonstrate that the control stabilizes fluctuations around the equilibrium.
format Preprint
id arxiv_https___arxiv_org_abs_2601_06354
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Designing a Resilient Allee-Ornstein-Uhlenbeck model
Gordillo, Luis F.
Greenwood, Priscilla E.
Populations and Evolution
Optimization and Control
In stochastic population dynamics, stochastic wandering can produce transition to an absorbing state. In particular, under Allee effects, low densities amplify the possibility of population collapse. We investigate this in an Allee-Ornstein-Uhlenbeck (Allee-OU) model, that couples a bistable Allee growth equation, with demographic noise, and environmental fluctuations modeled as an Ornstein-Uhlenbeck process. This process replaces the bifurcation parameter of the deterministic Allee effect equation. In the model, small noise may induce escape from the safe basin around the positive equilibrium toward extinction. We construct a stochastic control, altering the process to have a stationary distribution. We enable tractable control design, approximating the process by one with a stationary distribution. Two controlled models are developed, one acting directly on population size and another also modulating the environment. A threshold-based implementation minimizes the frequency of interventions while maximizing safe time. Simulations demonstrate that the control stabilizes fluctuations around the equilibrium.
title Designing a Resilient Allee-Ornstein-Uhlenbeck model
topic Populations and Evolution
Optimization and Control
url https://arxiv.org/abs/2601.06354