Dynamics analysis of Filippov pest control model with two economic thresholds

有害生物分析 病虫害综合治理 少年 经济门槛 病虫害防治 人口 控制理论(社会学) 农业工程 生物 计算机科学 生态学 控制(管理) 工程类 人口学 人工智能 植物 社会学
作者
Soliman A. A. Hamdallah
出处
期刊:Dynamical Systems-an International Journal [Taylor & Francis]
卷期号:: 1-25
标识
DOI:10.1080/14689367.2024.2430690
摘要

Understanding the stages of the pest life cycle, from the juvenile class to the adult class, is crucial for developing effective pest control strategies. Targeted interventions can be tailored to each life stage, maximizing control efficiency and reducing the excessive use of pesticides; therefore, they help minimize damage to crops. With this motivation, we present a new strategy that uses the Filippov framework to describe the two stages of the pest life cycle, from the juvenile class to the adult class, with two economic thresholds. These thresholds serve as a vital signal for the timely implementation of resistance strategies. The first threshold measure is dependent on the density of juvenile pests allowed, while the second threshold is based on the density of allowed adult pests. This model assists pest control by concurrently managing both juvenile and adult populations, effectively keeping them below dangerous thresholds. By employing a dual approach to population regulation, the system ensures a comprehensive strategy for pest management. The model's dynamic behaviours, existence, and stability of various equilibria are addressed both analytically and numerically. Furthermore, we investigate sliding segment regions to determine the timing of control measures for both juvenile and adult pest populations. Additionally, we discuss the dynamics of the sliding mode, covering both local and global sliding bifurcations. The results indicate that the utilization of two economic thresholds in pest management is beneficial, as they can help prevent pest outbreaks by maintaining the density of juvenile and adult pests at desired levels.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
sudaxia100发布了新的文献求助10
1秒前
漂亮幻莲发布了新的文献求助10
1秒前
华仔应助涛ss采纳,获得10
3秒前
可爱香槟发布了新的文献求助10
3秒前
幽默不愁完成签到,获得积分10
5秒前
5秒前
5秒前
科研通AI5应助bimiracle采纳,获得10
6秒前
Miao发布了新的文献求助10
9秒前
10秒前
cleff完成签到 ,获得积分10
10秒前
丘比特应助狗狗明明采纳,获得10
13秒前
15秒前
乐乐应助lucky采纳,获得30
16秒前
在水一方应助科研通管家采纳,获得10
16秒前
16秒前
Hello应助科研通管家采纳,获得10
16秒前
科研通AI5应助科研通管家采纳,获得10
16秒前
16秒前
图图应助科研通管家采纳,获得30
16秒前
小二郎应助科研通管家采纳,获得30
17秒前
17秒前
酷波er应助科研通管家采纳,获得10
17秒前
无花果应助科研通管家采纳,获得10
17秒前
科研通AI5应助科研通管家采纳,获得10
17秒前
Jasper应助科研通管家采纳,获得10
17秒前
大模型应助科研通管家采纳,获得10
17秒前
健忘水云应助科研通管家采纳,获得10
17秒前
17秒前
17秒前
充满怪兽的世界完成签到,获得积分10
19秒前
20秒前
Eourique发布了新的文献求助10
20秒前
22秒前
janice发布了新的文献求助10
22秒前
涛ss发布了新的文献求助10
25秒前
xiiin完成签到,获得积分10
26秒前
27秒前
士艳完成签到,获得积分10
28秒前
小张完成签到,获得积分10
29秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3737404
求助须知:如何正确求助?哪些是违规求助? 3281212
关于积分的说明 10023771
捐赠科研通 2997969
什么是DOI,文献DOI怎么找? 1644880
邀请新用户注册赠送积分活动 782390
科研通“疑难数据库(出版商)”最低求助积分说明 749782