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Modeling and Analysis of Integrated Pest Control Strategies via Impulsive Differential Equations

机译:基于脉冲微分方程的病虫害综合防治策略建模与分析

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The paper is concerned with the development and numerical analysis of mathematical models used to describe complex biological systems in the framework of Integrated Pest Management (IPM). Established in the late 1950s, IPM is a pest management paradigm that involves the combination of different pest control methods in ways that complement one another, so as to reduce excessive use of pesticides and minimize environmental impact. Since the introduction of the IPM concept, a rich set of mathematical models has emerged, and the present work discusses the development in this area in recent years. Furthermore, a comprehensive parametric study of an IPM-based impulsive control scheme is carried out via path-following techniques. The analysis addresses practical questions, such as how to determine the parameter values of the system yielding an optimal pest control, in terms of operation costs and environmental damage. The numerical study concludes with an exploration of the dynamical features of the impulsive model, which reveals the presence of codimension-1 bifurcations of limit cycles, hysteretic effects, and period-doubling cascades, which is a precursor to the onset of chaos.
机译:本文关注用于在病虫害综合治理(IPM)框架中描述复杂生物系统的数学模型的开发和数值分析。 IPM建立于1950年代后期,是一种有害生物管理范式,它以相互补充的方式结合了不同的有害生物控制方法,以减少农药的过度使用并最大程度地减少对环境的影响。自从IPM概念引入以来,已经出现了一套丰富的数学模型,并且当前的工作讨论了近年来该领域的发展。此外,通过路径跟踪技术对基于IPM的脉冲控制方案进行了全面的参数研究。该分析解决了一些实际问题,例如,如何在运营成本和环境破坏方面确定如何确定产生最佳害虫控制的系统的参数值。数值研究以对脉冲模型的动力学特征进行探索为基础,该模型揭示了极限环的codimension-1分叉,滞后效应和周期加倍级联的存在,这是混沌发作的先兆。

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