A nonlinear fractional fishery resource system model with Crowley–Martin functional response under Mittag-Leffler kernel

Munkaila Dasumani , Stephen E. Moore , Duncan K. Gathungu , Boubacar Diallo
{"title":"A nonlinear fractional fishery resource system model with Crowley–Martin functional response under Mittag-Leffler kernel","authors":"Munkaila Dasumani ,&nbsp;Stephen E. Moore ,&nbsp;Duncan K. Gathungu ,&nbsp;Boubacar Diallo","doi":"10.1016/j.rico.2024.100461","DOIUrl":null,"url":null,"abstract":"<div><p>This article studies the action of predators and the predator-dependent functional response in the fishery resource model. We employ the Atangana–Baleanu–Caputo fractional derivative to study the proposed fractional fishery resource model in the presence of predators with Crowley–Martin functional response. We present a theoretical and numerical analysis of the governing nonlinear differential equations of the model consisting of the biomass density of the fish population inside the unrestricted fishing zone, the biomass density of the fish population inside the reserve or restricted fishing zone, and the predator population. Using the fixed point theory and nonlinear analysis, we establish the existence and uniqueness results of the proposed <span><math><mi>ABC</mi></math></span> fractional fishery resource model. We establish stability analysis of the fishery model using the Ulam–Hyers stability approach. The numerical scheme of the fractional Adams–Bashforth method is provided and the approximate solutions for the model under consideration are given and discussed. We observe that an increase in the fish capturing rates increases the size of the predator population and reduces the fish subpopulations. To maintain a high number of fish species, we recommend a control measure to reduce the fish capturing rate by the predators.</p></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"16 ","pages":"Article 100461"},"PeriodicalIF":0.0000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666720724000912/pdfft?md5=a4b4abaeb7406f918f0c7f2ff0724d8c&pid=1-s2.0-S2666720724000912-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Results in Control and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666720724000912","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0

Abstract

This article studies the action of predators and the predator-dependent functional response in the fishery resource model. We employ the Atangana–Baleanu–Caputo fractional derivative to study the proposed fractional fishery resource model in the presence of predators with Crowley–Martin functional response. We present a theoretical and numerical analysis of the governing nonlinear differential equations of the model consisting of the biomass density of the fish population inside the unrestricted fishing zone, the biomass density of the fish population inside the reserve or restricted fishing zone, and the predator population. Using the fixed point theory and nonlinear analysis, we establish the existence and uniqueness results of the proposed ABC fractional fishery resource model. We establish stability analysis of the fishery model using the Ulam–Hyers stability approach. The numerical scheme of the fractional Adams–Bashforth method is provided and the approximate solutions for the model under consideration are given and discussed. We observe that an increase in the fish capturing rates increases the size of the predator population and reduces the fish subpopulations. To maintain a high number of fish species, we recommend a control measure to reduce the fish capturing rate by the predators.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Mittag-Leffler 核下具有 Crowley-Martin 功能响应的非线性分数渔业资源系统模型
本文研究了渔业资源模型中捕食者的作用和捕食者依赖的功能响应。我们采用 Atangana-Baleanu-Caputo 分数导数研究了所提出的存在捕食者且具有 Crowley-Martin 功能响应的分数渔业资源模型。我们对该模型的非线性微分方程进行了理论和数值分析,这些方程包括非限制捕鱼区内鱼类种群的生物量密度、保护区或限制捕鱼区内鱼类种群的生物量密度以及捕食者种群。利用定点理论和非线性分析,我们建立了所提出的 ABC 部分渔业资源模型的存在性和唯一性结果。我们利用 Ulam-Hyers 稳定性方法建立了渔业模型的稳定性分析。提供了分数 Adams-Bashforth 方法的数值方案,并给出和讨论了所考虑模型的近似解。我们发现,鱼类捕获率的提高会增加捕食者种群的规模,并减少鱼类亚种群。为了保持较高的鱼类物种数量,我们建议采取控制措施,降低捕食者的鱼类捕获率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Results in Control and Optimization
Results in Control and Optimization Mathematics-Control and Optimization
CiteScore
3.00
自引率
0.00%
发文量
51
审稿时长
91 days
期刊最新文献
A note on “Study on multi-objective linear fractional programming problem involving pentagonal intuitionistic fuzzy number” Frequency regulation of two-area thermal and photovoltaic power system via flood algorithm An efficient parametric kernel function of IPMs for Linear optimization problems Multi-objective optimization of an open-pit mining system to determine safety buffer using the modified NBI method and the meta-model approach COVID-19 detection from optimized features of breathing audio signals using explainable ensemble machine learning
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1