Mathematical insights into chaos in fractional-order fishery model

被引:0
作者
Chen Zakirullah [1 ]
Liang Lu [1 ]
Kamal Li [1 ]
Bahaaeldin Shah [2 ]
Thabet Abdalla [2 ]
undefined Abdeljawad [3 ]
机构
[1] School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu
[2] Department of Mathematics and Sciences, Prince Sultan University, Riyadh
[3] Department of Mathematics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Tamil Nadu, Chennai
[4] Department of Mathematics and Applied Mathematics, School of Science and Technology, Sefako Makgatho Health Sciences University, Ga-Rankuwa
[5] Department of Medical Research, China Medical University, Taichung
关键词
Chaos; Dynamics; Fractional order mathematical fishery model; Numerical results;
D O I
10.1007/s40808-025-02375-2
中图分类号
学科分类号
摘要
This study investigates the dynamics of a fractional-order model applied to fishery management to better illustrate the behavior of fish populations over time in a two-zone aquatic environment. The zones consist of unreserve and reserve zones prohibited from fishing. Initially, an integer-order nonlinear differential equation model was modified to fractional order in the Caputo sense modified intrinsic growth rate. Subsequently, the models are analyzed for positivity, boundedness, existence, and uniqueness, and stability analysis within the framework of the Caputo derivative order. The key parameters fishing mortality (ρ) and harvesting (Λ) allowed a detailed exploration of population growth and stability under various harvesting scenarios. The model is numerically solved using the Adam–Bashforth scheme with the Caputo derivatives. This method accounts for fractional order derivatives and provides an efficient numerical solution for nonlinear systems that are commonly observed in biological processes. Numerical simulations, varying the fractional order of the Caputo derivative, examine the impact of model parameters on system dynamics and control. In the fractional case, we establish sufficient conditions to guarantee the model’s uniqueness and existence. An analysis of the dynamics of the system under various parameter settings and under different conditions which is potentially significant for understanding the complex behaviors of diverse biological systems. With the different input factors of the system, a novel numerical technique is presented for the chaotic and dynamic behaviour of the proposed model. Our analysis also shows that fractional order has an impact on the proposed system fishery model. Through numerical simulations, the most critical input parameters are highlighted and control interventions are suggested for policy makers to consider. © The Author(s) 2025.
引用
收藏
相关论文
共 30 条
  • [1] Adel W., Gunerhan H., Nisar K.S., Agarwal P., El-Mesady A., Designing a novel fractional order mathematical model for COVID-19 incorporating lockdown measures, Sci Rep, 14, (2024)
  • [2] Ali A., Ansari K.J., Alrabaiah H., Aloqaily A., Mlaiki N., Coupled system of fractional impulsive problem involving power–law kernel with piecewise order, Fract Fraction, 7, 6, (2023)
  • [3] Biswas M.H.A., Hossain M.R., Mondal M.K., Mathematical modeling applied to sustainable management of marine resources, Proc Eng, 194, pp. 337-344, (2017)
  • [4] Broadbridge P., Hutchinson A.J., Li X., Mann B.Q., Stratified mobility fishery models with harvesting outside of no-take areas, Appl Math Model, 105, pp. 29-49, (2022)
  • [5] Buxton C.D., Hartmann K., Kearney R., Gardner C., When is spillover from marine reserves likely to benefit fisheries?, PLoS ONE, 9, 9, (2014)
  • [6] Dasumani M., Moore S.E., Gathungu D.K., Diallo B., A nonlinear fractional fishery resource system model with Crowley–Martin functional response under Mittag–Leffler kernel, Results Control Optim, 16, (2024)
  • [7] Dasumani M., Lassong B.S., Akgul A., Osman S., Moore S.E., Analyzing the dynamics of human papillomavirus transmission via fractal and fractional dimensions under Mittag–Leffler law, Model Earth Syst Environ, 10, pp. 7225-7249, (2024)
  • [8] Diallo B., Dasumani M., Okelo J.A., Osman S., Sow O., Aguegboh N.S., Okongo W., Fractional optimal control problem modeling bovine tuberculosis and rabies co-infection, Results Control Optim, 18, (2025)
  • [9] Gerber L.R., Botsford L.W., Hastings A., Possingham H.P., Gaines S.D., Palumbi S.R., Andelman S., Population models for marine reserve design: a retrospective and prospective synthesis, Ecol Appl, 13, sp1, pp. 47-64, (2003)
  • [10] Gruss A., Modelling the impacts of marine protected areas for mobile exploited fish populations and their fisheries: what we recently learnt and where we should be going, Aquat Liv Resour, 27, 3-4, pp. 107-133, (2014)