Analysis of a stochastic food chain model with nonlinear prey refuge and Allee effect driven by Ornstein-Uhlenbeck process

In this paper, we investigated a food chain model driven by the Ornstein-Uhlenbeck process, incorporating the Holling type Ⅱ functional response, nonlinear prey refuge, and the Allee effect in the top predator. First, the biological significance of the Ornstein-Uhlenbeck process was illustrated, and its rationality was explained. Subsequently, the existence and uniqueness of the global solution of the model were established, and its ultimate boundedness was analyzed. Then, by constructing a Lyapunov function and applying Itô's formula, the existence of the stationary distribution of the model was demonstrated. Furthermore, the conditions for the system extinction were provided. Finally, numerical simulations were conducted to verify the theoretical results and confirm the validity of the conclusions.

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Publication Details

Journal
AIMS Mathematics
Published
2025-01-01
DOI
https://doi.org/10.3934/math.2025782
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

Analysis of a stochastic food chain model with nonlinear prey refuge and Allee effect driven by Ornstein-Uhlenbeck process

Xiaohui Ai, Shujie Yang, Binghui Zhao
1 links
AIMS Mathematics
Mathematical and Theoretical Epidemiology and Ecology Models
article

Analysis of a stochastic food chain model with nonlinear prey refuge and Allee effect driven by Ornstein-Uhlenbeck process

Xiaohui Ai, Shujie Yang, Binghui Zhao
article en

Abstract

In this paper, we investigated a food chain model driven by the Ornstein-Uhlenbeck process, incorporating the Holling type Ⅱ functional response, nonlinear prey refuge, and the Allee effect in the top predator. First, the biological significance of the Ornstein-Uhlenbeck process was illustrated, and its rationality was explained. Subsequently, the existence and uniqueness of the global solution of the model were established, and its ultimate boundedness was analyzed. Then, by constructing a Lyapunov function and applying Itô's formula, the existence of the stationary distribution of the model was demonstrated. Furthermore, the conditions for the system extinction were provided. Finally, numerical simulations were conducted to verify the theoretical results and confirm the validity of the conclusions.

AIMS MathematicsVol. 10(8)
Northeast Forestry University (CN)
Zero hunger
Openalex Percentile: Top 74%
Mathematical and Theoretical Epidemiology and Ecology Models
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