感染wstr - wolbachia的Nilaparvata lugens周期性脉冲释放的建模和分析。

IF 1.8 4区 数学 Q3 ECOLOGY
Journal of Biological Dynamics Pub Date : 2023-12-01 Epub Date: 2023-11-29 DOI:10.1080/17513758.2023.2287077
Xiangjun Dai, Qi Quan, Jianjun Jiao
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引用次数: 0

摘要

本文建立了具有wStri感染的褐飞虱周期性脉冲释放的种群抑制模型和种群置换模型。野生n稳定的条件。应用Floquet定理和比较定理,得到了两个系统的lugens-根除周期解。并给出了野生褐霉在平均水平上持续存在的充分条件。此外,还得到了在没有wLug的子系统中野生褐藻灭绝和持续存在的充分条件。结果表明,增加放放量或缩短放放期有利于控制野生褐飞虱,在相同放放量条件下,种群替代策略对野生褐飞虱的控制效率高于种群抑制策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling and analysis of periodic impulsive releases of the Nilaparvata lugens infected with wStri-Wolbachia.

In this paper, we formulate a population suppression model and a population replacement model with periodic impulsive releases of Nilaparvata lugens infected with wStri. The conditions for the stability of wild-N.lugens-eradication periodic solution of two systems are obtained by applying the Floquet theorem and comparison theorem. And the sufficient conditions for the persistence in the mean of wild N.lugens are also given. In addition, the sufficient conditions for the extinction and persistence of the wild N.lugens in the subsystem without wLug are also obtained. Finally, we give numerical analysis which shows that increasing the release amount or decreasing the release period are beneficial for controlling the wild N.lugens, and the efficiency of population replacement strategy in controlling wild populations is higher than that of population suppression strategy under the same release conditions.

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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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