ANALYSIS OF A STOCHASTIC TREE-GRASS MODEL WITH MEAN-REVERTING ORNSTEIN-UHLENBECK PROCESS

Considering the survival regulation mechanisms of trees and grasses in savannas ecosystems, the stochastic variability of ecosystems and the effects of fire, a stochastic tree-grass model with mean-reverting Ornstein-Uhlenbeck process is developed and investigated in this paper. Firstly, the biological and environmental components of the tree-grass model and the biological significance of each parameter are described, while the mean-reverting Ornstein-Uhlenbeck process is introduced and its biological significance is explained. Then we list some dynamical properties of the model and give proofs. The existence and moment estimates of the global solution of the stochastic model and sufficient conditions for the existence of a stationary distribution are given. In addition, we give sufficient conditions for extinction of species. Finally, we verify that the theories are valid by numerical simulation.

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Publication Details

Journal
Journal of Applied Analysis & Computation
Published
2025-01-01
DOI
https://doi.org/10.11948/20230470
Primary Topic
Stochastic processes and statistical mechanics
Type
article
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article

ANALYSIS OF A STOCHASTIC TREE-GRASS MODEL WITH MEAN-REVERTING ORNSTEIN-UHLENBECK PROCESS

Xiaohui Ai, Yifan Wu, W. Huang
3 links
Journal of Applied Analysis & Computation
Stochastic processes and statistical mechanics
article

ANALYSIS OF A STOCHASTIC TREE-GRASS MODEL WITH MEAN-REVERTING ORNSTEIN-UHLENBECK PROCESS

Xiaohui Ai, Yifan Wu, W. Huang
article en

Abstract

Considering the survival regulation mechanisms of trees and grasses in savannas ecosystems, the stochastic variability of ecosystems and the effects of fire, a stochastic tree-grass model with mean-reverting Ornstein-Uhlenbeck process is developed and investigated in this paper. Firstly, the biological and environmental components of the tree-grass model and the biological significance of each parameter are described, while the mean-reverting Ornstein-Uhlenbeck process is introduced and its biological significance is explained. Then we list some dynamical properties of the model and give proofs. The existence and moment estimates of the global solution of the stochastic model and sufficient conditions for the existence of a stationary distribution are given. In addition, we give sufficient conditions for extinction of species. Finally, we verify that the theories are valid by numerical simulation.

Journal of Applied Analysis & ComputationVol. 15(6)
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Openalex Percentile: Top 79%
Stochastic processes and statistical mechanics
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