IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v508y2026ics0096300325003480.html

The dynamic behavior of time-delayed Leslie-Gower predator-prey model

Author

Listed:
  • Salehi, Khayyam
  • Alidousti, Javad

Abstract

In this paper, we examine a delayed Leslie-Gower (LG) predator-prey system with the representation of interactions using a type II response function. It is considered that a prey that is afflicted can transmit the infection to another prey that is susceptible. The infection does not spread instantaneously but with a time delay to account for the necessary incubation period. A delay has the potential to disrupt a stable internal equilibrium. Given that adding harvesting to the prey population capable of mitigating abrupt population fluctuations, when surpassing the threshold level, we can stabilize the system. In this study, we consider both delayed and delay-free LG models. It is shown that the possibility of delay may diminish the stability region and create more complex border structures. New dynamical phenomena such as Hopf and Bautin bifurcations in both delayed and delay-free systems are investigated. Moreover, double-Hopf and resonance bifurcations are explored in delayed systems. By employing the method of multiple scales, we calculate the normal form coefficients for each bifurcation. A comprehensive analysis of the system's dynamic behavior in relation to two parameters, encompassing co-dimension 1, co-dimension 2, and the basin of attraction, is conducted using Lyapunov exponents and Poincaré sections. Numerical simulations validate our analytical findings.

Suggested Citation

  • Salehi, Khayyam & Alidousti, Javad, 2026. "The dynamic behavior of time-delayed Leslie-Gower predator-prey model," Applied Mathematics and Computation, Elsevier, vol. 508(C).
  • Handle: RePEc:eee:apmaco:v:508:y:2026:i:c:s0096300325003480
    DOI: 10.1016/j.amc.2025.129622
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300325003480
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2025.129622?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Pal, Debjit & Kesh, Dipak & Mukherjee, Debasis, 2023. "Qualitative study of cross-diffusion and pattern formation in Leslie–Gower predator–prey model with fear and Allee effects," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
    2. Frank Hilker & Horst Malchow, 2006. "Strange Periodic Attractors in a Prey-Predator System with Infected Prey," Mathematical Population Studies, Taylor & Francis Journals, vol. 13(3), pages 119-134.
    3. Xiangyun Shi & Xueyong Zhou & Xinyu Song, 2010. "Dynamical Properties of a Delay Prey-Predator Model with Disease in the Prey Species Only," Discrete Dynamics in Nature and Society, Hindawi, vol. 2010, pages 1-16, December.
    4. Shengbin Yu, 2012. "Global Asymptotic Stability of a Predator-Prey Model with Modified Leslie-Gower and Holling-Type II Schemes," Discrete Dynamics in Nature and Society, Hindawi, vol. 2012, pages 1-8, July.
    5. Feng, Xiaozhou & Liu, Xia & Sun, Cong & Jiang, Yaolin, 2023. "Stability and Hopf bifurcation of a modified Leslie–Gower predator–prey model with Smith growth rate and B–D functional response," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pal, Debjit & Ghorai, Santu & Kesh, Dipak & Mukherjee, Debasis, 2024. "Hopf bifurcation and patterns formation in a diffusive two prey-one predator system with fear in preys and help," Applied Mathematics and Computation, Elsevier, vol. 481(C).
    2. Tian, Yuan & Li, Huanmeng & Sun, Kaibiao, 2024. "Complex dynamics of a fishery model: Impact of the triple effects of fear, cooperative hunting and intermittent harvesting," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 218(C), pages 31-48.
    3. Pedro de Mendonça, 2013. "Nonlinear Phenomena in a Growing Economy with Convex Adjustment Costs," EERI Research Paper Series EERI RP 2013/05, Economics and Econometrics Research Institute (EERI), Brussels.
    4. Fadi Barbara & Valentina La Morgia & Valerio Parodi & Giuseppe Toscano & Ezio Venturino, 2018. "Analysis of the Incidence of Poxvirus on the Dynamics between Red and Grey Squirrels," Mathematics, MDPI, vol. 6(7), pages 1-21, July.
    5. Li, Lu & Yan, Xiang-Ping & Zhang, Cun-Hua, 2025. "Turing, Hopf and Turing–Hopf bifurcations in a modified Leslie–Gower predator–prey diffusive system with Smith prey growth and nonmonotonic functional response," Chaos, Solitons & Fractals, Elsevier, vol. 201(P1).
    6. Min, Feng & Xiao, Min & Cao, Jinde & Wang, Zhen & Ding, Jie & Rutkowski, Leszek, 2025. "Spatiotemporal dynamics of a food chain model incorporating higher-order interactions and slow–fast effect," Chaos, Solitons & Fractals, Elsevier, vol. 199(P1).
    7. Diouf, A. & Mokrani, H. & Ngom, D. & Haque, M. & Camara, B.I., 2019. "Detection and computation of high codimension bifurcations in diffuse predator–prey systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 402-411.
    8. Mu, Yu & Lo, Wing-Cheong & Tan, Yuanshun & Liu, Zijian, 2025. "Hybrid control for the prey in a spatial prey-predator model with cooperative hunting and fear effect time lag," Applied Mathematics and Computation, Elsevier, vol. 491(C).
    9. Mishra, P. & Raw, S.N. & Tiwari, B., 2019. "Study of a Leslie–Gower predator-prey model with prey defense and mutual interference of predators," Chaos, Solitons & Fractals, Elsevier, vol. 120(C), pages 1-16.
    10. Ramasamy, Sivasamy & Banjerdpongchai, David & Park, PooGyeon, 2025. "Stability and Hopf-bifurcation analysis of diffusive Leslie–Gower prey–predator model with the Allee effect and carry-over effects," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 227(C), pages 19-40.
    11. Qiuyue Zhao & Xinglong Niu, 2024. "Dynamics of a Stochastic Predator–Prey Model with Smith Growth Rate and Cooperative Defense," Mathematics, MDPI, vol. 12(12), pages 1-14, June.
    12. Carfora, M.F. & Iovanna, F. & Torcicollo, I., 2025. "Turing patterns in an intraguild predator–prey model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 232(C), pages 192-210.
    13. Li, Shuai & Huang, Chengdai & Song, Xinyu, 2023. "Detection of Hopf bifurcations induced by pregnancy and maturation delays in a spatial predator–prey model via crossing curves method," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).
    14. Pal, Debjit & Kesh, Dipak & Mukherjee, Debasis, 2024. "Cross-diffusion mediated Spatiotemporal patterns in a predator–prey system with hunting cooperation and fear effect," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 220(C), pages 128-147.
    15. Menon, Sidharth & Kumari, Sangeeta, 2025. "Impact of cross-diffusion and Allee effect on modified Leslie–Gower model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 236(C), pages 183-199.
    16. Sajan, & Anshu, & Dubey, Balram, 2024. "Study of a cannibalistic prey–predator model with Allee effect in prey under the presence of diffusion," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    17. Kumar, Vikas, 2024. "Pattern formation and delay-induced instability in a Leslie–Gower type prey–predator system with Smith growth function," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 225(C), pages 78-97.
    18. Qingyi Cui & Changjin Xu & Wei Ou & Yicheng Pang & Zixin Liu & Peiluan Li & Lingyun Yao, 2023. "Bifurcation Behavior and Hybrid Controller Design of a 2D Lotka–Volterra Commensal Symbiosis System Accompanying Delay," Mathematics, MDPI, vol. 11(23), pages 1-23, November.
    19. Mukhopadhyay, B. & Bhattacharyya, R., 2009. "Role of predator switching in an eco-epidemiological model with disease in the prey," Ecological Modelling, Elsevier, vol. 220(7), pages 931-939.
    20. Wang, Henan & Liu, Ping, 2023. "Pattern dynamics of a predator–prey system with cross-diffusion, Allee effect and generalized Holling IV functional response," Chaos, Solitons & Fractals, Elsevier, vol. 171(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:apmaco:v:508:y:2026:i:c:s0096300325003480. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.