脉冲化学控制延迟害虫治理模型的研究。

IF 2.2 4区 数学 Q3 ECOLOGY
Journal of Biological Dynamics Pub Date : 2025-12-01 Epub Date: 2025-09-18 DOI:10.1080/17513758.2025.2548493
Yize Chen, Juhua Liang
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引用次数: 0

摘要

化学防治在害虫管理中至关重要,但对农药施用的延迟反应会严重影响其成功。本文建立了一种将延迟脉冲微分方程与脉冲农药喷洒相结合的新型数学模型来评估这些延迟效应。分析了除虫液的均匀稳定性,探讨了影响除虫成功的关键参数。考虑害虫种群增长达到环境容量和农药响应的延迟,建立了双延迟脉冲微分方程。研究了系统的渐近稳定性和指数稳定性,并确定了害虫灭绝的阈值条件。研究结果有助于优化农药反应延迟的病虫害防治策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on a delayed pest management model with pulse chemical control.

Chemical control is crucial in pest management, but delayed responses to pesticide application can significantly affect its success. This study develops a type of novel mathematical models combining delayed impulse differential equations with pulse pesticide spraying to evaluate these delayed effects. The uniform stability of the pest eradication solution is analysed, and key parameters influencing pest control success are explored. Considering delays in both pest population growth reaching environmental capacity and pesticide response, a double delayed impulse differential equation is formulated. The asymptotic stability and exponential stability of the system are studied, and threshold conditions for pest extinction are identified. The findings help optimize pest control strategies under delayed pesticide responses.

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来源期刊
Journal of Biological Dynamics
Journal of Biological Dynamics ECOLOGY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.90
自引率
3.60%
发文量
28
审稿时长
33 weeks
期刊介绍: Journal of Biological Dynamics, an open access journal, publishes state of the art papers dealing with the analysis of dynamic models that arise from biological processes. The Journal focuses on dynamic phenomena at scales ranging from the level of individual organisms to that of populations, communities, and ecosystems in the fields of ecology and evolutionary biology, population dynamics, epidemiology, immunology, neuroscience, environmental science, and animal behavior. Papers in other areas are acceptable at the editors’ discretion. In addition to papers that analyze original mathematical models and develop new theories and analytic methods, the Journal welcomes papers that connect mathematical modeling and analysis to experimental and observational data. The Journal also publishes short notes, expository and review articles, book reviews and a section on open problems.
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