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An epidemiological stochastic predator-prey model with prey refuge and harvesting |
| Israr Ali1, Hui Zhang(张慧)1,2,3,‡, Syed Murad Ali Shah1, Abdulwasea Alkhazzan4,†, and Yassine Sabbar5 |
1 School of Statistics, Southwestern University of Finance and Economics, Chengdu 610074, China; 2 Shenzhen Research Institute of Northwestern Polytechnical University, Shenzhen 518057, China; 3 International Joint Research Center on Operations Research, Optimization and Artificial Intelligence, Xi'an 710072, China; 4 School of Information Engineering, Xi'an Fanyi University, Xi'an 710105, China; 5 IMIA Laboratory, T-IDMS, FST Errachidia, Moulay Ismail University of Meknes, P. O. Box 509, 52000, Boutalamine, Errachidia, Morocco |
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Abstract Predator-prey interactions are fundamental to understanding ecosystem stability and biodiversity. In this study, we propose and analyze a stochastic predator-prey model that incorporates two critical ecological factors: prey refuge and harvesting. The model also integrates disease transmission within the predator population, adding an important layer of realism. Using rigorous mathematical techniques, we demonstrate the existence and uniqueness of a global positive solution, thereby confirming the model's biological feasibility. We further derive sufficient conditions for two key ecological scenarios: stochastic permanence, which ensures the sustained co-existence of prey and predators over time, and extinction, where one or both populations decline to zero. The interplay between prey refuge and harvesting is thoroughly examined to understand their combined impact on population dynamics. All theoretical results are validated by detailed numerical simulations, highlighting the applicability of the model to real-world ecological systems. From the simulation results, we observed that with an adequate level of prey refuge and predator harvesting, the susceptible predator and prey co-exist with extensive oscillations, while the infected predator population was moving towards extinction. In addition, we have investigated the effect of disease transmission on system dynamics. Our results show that, as the transmission rate of disease increases, the susceptible predator approaches extinction, whereas, on the other hand, when it declines, the susceptible predator shows robust oscillations while the infected approaches extinction. In both cases, the prey population demonstrates robust stability due to the prey refuge. Our findings show that the management of harvesting and the prey refuge can be effective ecological tactics for disease control and species protection under stochastic environmental effects.
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Received: 21 May 2025
Revised: 13 July 2025
Accepted manuscript online: 18 July 2025
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PACS:
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05.40.-a
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(Fluctuation phenomena, random processes, noise, and Brownian motion)
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05.45.-a
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(Nonlinear dynamics and chaos)
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05.10.Gg
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(Stochastic analysis methods)
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| Fund: This work was supported by the National Natural Science Foundation of China (Grant No. 32271554) and the Guangdong Basic and Applied Basic Research Foundation (Grant No. 2023A1515011501). |
Corresponding Authors:
Abdulwasea Alkhazzan, Hui Zhang
E-mail: alkhazan84@yahoo.com;huizhang@nwpu.edu.cn
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Cite this article:
Israr Ali, Hui Zhang(张慧), Syed Murad Ali Shah, Abdulwasea Alkhazzan, and Yassine Sabbar An epidemiological stochastic predator-prey model with prey refuge and harvesting 2026 Chin. Phys. B 35 020503
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[1] Berryman A A 1992 Ecology 73 1530 [2] Abrams P A 2000 Annual Review of Ecology and Systematics 31 79 [3] Das K P, Samanta S, Biswas B and Chattopadhyay J 2014 The Journal of Ecology 108 306 [4] Das K P 2015 Journal of Dynamical and Control Systems 21 605 [5] Shaikh A A and Das H and Ali N 2018 Journal of Applied Mathematics and Computing 58 235 [6] Ejaz A, Nawaz Y, ArifMS, Mashat D S and Abodayeh K 2022 CMESComputer Modeling in Engineering & Sciences 132 490 [7] Talib R H and Naji R k 2025 Journal of Applied Mathematics 2025 8120929 [8] Ghosh J, Sahoo B and Poria S 2017 Chaos, Solitons & Fractals 96 110 [9] Barman B and Ghosh B 2022 International Journal of Modelling and Simulation 42 883 [10] Lazaar O and Serhani M 2023 International Journal of Dynamics and Control 11 1934 [11] Boon J S, Keith S A, Exton D A and Field R 2023 Global Ecology and Biogeography 32 1244 [12] Da S C, Michel I 2007 Mathematical Biosciences 205 77 [13] Das T, Mukherjee R N and Chaudhuri K S 2009 Applied Mathematical Modelling 33 2282 [14] Abdulghafour A S and Naji R K 2018 Journal of Applied Mathematics 1 2952791 [15] Purnomo A S, Darti I and Suryanto A 2017 AIP Conf. Proc. (AIP Publishing) 1913 020018 [16] Bairagi N, Chaudhuri S and Chattopadhyay J 2009 Mathematical Biosciences 217 134 [17] Mandal S, Sk N, Tiwari P K and Chattopadhyay J 2024 Chaos, Solitons & Fractals 178 114365 [18] Zou L and Zhang Z and Peng M 2025 Pramana 99 16 [19] Cheru S L, Kebedow K G and Ega T T 2024 Differential Equations and Dynamical Systems 1 [20] Rahman M S, Islam M S and Sarwardi S 2025 International Journal of Modelling and Simulation 45 20 [21] Hsu S B, Hwang T W and Kuang Y 2001 Journal of Mathematical Biology 42 489 [22] Biswas S, Ahmad B and Khajanchi S 2023 Mathematical Methods in the Applied Sciences 46 4184 [23] Upadhyay R K and Naji R K 2009 Chaos, Solitons & Fractals 42 1337 [24] Das K P 2020 Differential Equations and Dynamical Systems 28 295 [25] Sabbar Y, Aeshah A R 2024 AIMS Math 9 18211 [26] Sabbar Y, Driss K 2023 Mathematical Methods in the Applied Sciences 46 2455 [27] Sabbar Y, Asad k and Anwarud D 2022 Mathematics 10 2262 [28] Liu M and Wang K 2009 Ecological Modelling 220 1347 [29] Jiang D, Shi N Z and Zhao Y 2005 Mathematical and Computer Modelling 42 651 [30] Ji C and Jiang D and Shi N Z 2011 Journal of Mathematical Analysis and Applications 377 435 [31] Shah, S M A, Nie Y F, Din A, Alkhazzan A and Younas B 2024 Chin. Phys. B 33 110203 [32] Shah S M A, Nie Y F, Din A and Alkhazzan A 2024 Research Square 33 110203 [33] Shah, S M A, Nie Y F, Alkhazzan A, Tunç C and Din A 2024 Journal of Taibah University for Science 18 2414523 [34] Liu M and Wang K 2011 Communications in Nonlinear Science and Numerical Simulation 16 1114 [35] Li S and Wang X 2015 Advances in Difference Equations 2015 1 [36] Feng Tao, Meng X Z, Zhang T and Qiu Z P 2020 Qualitative Theory of Dynamical Systems 19 1 [37] Zhang X H, Li Yan and Jiang D Q 2017 Nonlinear Dyn. 87 2011 [38] Roy J and Alam S 2020 Physica A 541 123359 [39] Sk N and Pal S 2022 Euro. Phys. J. Plus 237 138 [40] Gokila C, Sambath M, Balachandran K and Ma Y K 2023 Journal of Biological Dynamics 17 2164803 [41] Alkhazzan A, Wang J G, Nie Y F, Khan H and Alzabut J 2024 Chaos, Solitons & Fractals 181 114631 [42] Alkhazzan A, Wang J G, Nie Y F, Khan H and Alzabut J 2024 Chaos 34 093119 [43] Alkhazzan A, Wang J G, Nie Y F, Khan H and Alzabut J 2023 Alexandria Engineering Journal 76 557 [44] Alkhazzan A, Wang J G, Nie Y F, Khan H and Alzabut J 2024 Mathematical Methods in the Applied Sciences 47 8748 [45] Alkhazzan A, Wang J G, Nie Y F, Khan H and Alzabut J 2023 Chaos, Solitons & Fractals 175 113953 [46] Alkhazzan A,Wang J G, Nie Y F, Khan H and Alzabut J 2022 Vaccines 10 1682 [47] Mao X 2007 Stochastic differential equations and applications 2nd Ed. (Glasgow: Elsevier) pp. 47–90 [48] Khasminskii R 2011 Stochastic stability of differential equations 2nd Ed. (USA: Springer Science & Business Media) pp. 43–58 [49] Li X Y and Mao X R 2009 Discrete and Continuous Dynamical Systems-Series A 24 523 [50] Dalal N, Greenhalgh D and Mao X R 2008 Journal of Mathematical Analysis and Applications 341 1084 |
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