污染环境中带有收获和跳跃的混合延迟食物链模型的随机动力学

IF 1 4区 数学 Q3 STATISTICS & PROBABILITY Methodology and Computing in Applied Probability Pub Date : 2023-12-14 DOI:10.1007/s11009-023-10064-9
Sheng Wang, Lijuan Dong
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引用次数: 0

摘要

本文利用随机分析技术,研究了污染环境中带有收获和莱维跳跃的混合延迟食物链模型的随机动力学。在一些基本假设条件下,建立了各物种均值随机持续和灭绝的判据,以及系统的全局吸引力和最优收获策略(OHS)的存在。给出了最优收获努力(OHE)和可持续产量最大期望(MESY)的精确表达式。结果表明,系统的随机动力学和 OHS 与时间延迟和环境噪声密切相关。最后,我们介绍了一些数值模拟来说明主要结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Stochastic Dynamics of a Hybrid Delay Food Chain Model with Harvesting and Jumps in a Polluted Environment

In this paper, the stochastic dynamics of a hybrid delay food chain model with harvesting and Lévy jumps in a polluted environment is studied by using stochastic analysis techniques. Under some basic assumptions, criterions about stochastic persistence in mean and extinction of each species are established, as well as global attractivity and the existence of optimal harvesting strategy (OHS) of the system. The accurate expressions for the optimal harvesting effort (OHE) and the maximum of expectation of sustainable yield (MESY) are given. Our results show that the stochastic dynamics and OHS of the system are closely correlated with both time delays and environmental noises. Finally, some numerical simulations are introduced to illustrate the main results.

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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
58
审稿时长
6-12 weeks
期刊介绍: Methodology and Computing in Applied Probability will publish high quality research and review articles in the areas of applied probability that emphasize methodology and computing. Of special interest are articles in important areas of applications that include detailed case studies. Applied probability is a broad research area that is of interest to many scientists in diverse disciplines including: anthropology, biology, communication theory, economics, epidemiology, finance, linguistics, meteorology, operations research, psychology, quality control, reliability theory, sociology and statistics. The following alphabetical listing of topics of interest to the journal is not intended to be exclusive but to demonstrate the editorial policy of attracting papers which represent a broad range of interests: -Algorithms- Approximations- Asymptotic Approximations & Expansions- Combinatorial & Geometric Probability- Communication Networks- Extreme Value Theory- Finance- Image Analysis- Inequalities- Information Theory- Mathematical Physics- Molecular Biology- Monte Carlo Methods- Order Statistics- Queuing Theory- Reliability Theory- Stochastic Processes
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