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Spatial Pattern In A Predator-Prey System With Both Self- And Cross-Diffusion

Author

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  • GUI-QUAN SUN

    (School of Mechatronic Engineering, North University of China, Taiyuan Shan'xi 030051, People's Republic of China;
    Department of Mathematics, North University of China, Taiyuan, Shan'xi 030051, People's Republic of China)

  • ZHEN JIN

    (School of Mechatronic Engineering, North University of China, Taiyuan Shan'xi 030051, People's Republic of China;
    Department of Mathematics, North University of China, Taiyuan, Shan'xi 030051, People's Republic of China)

  • YI-GUO ZHAO

    (School of Information and Communication Engineering, North University of China, Taiyuan, Shan'xi 030051, People's Republic of China)

  • QUAN-XING LIU

    (Department of Mathematics, North University of China, Taiyuan, Shan'xi 030051, People's Republic of China)

  • LI LI

    (Department of Mathematics, North University of China, Taiyuan, Shan'xi 030051, People's Republic of China)

Abstract

The vast majority of models for spatial dynamics of natural populations assume a homogeneous physical environment. However, in practice, dispersing organisms may encounter landscape features that significantly inhibit their movement. And spatial patterns are ubiquitous in nature, which can modify the temporal dynamics and stability properties of population densities at a range of spatial scales. Thus, in this paper, a predator-prey system with Michaelis-Menten-type functional response and self- and cross-diffusion is investigated. Based on the mathematical analysis, we obtain the condition of the emergence of spatial patterns through diffusion instability, i.e., Turing pattern. A series of numerical simulations reveal that the typical dynamics of population density variation is the formation of isolated groups, i.e., stripe-like or spotted or coexistence of both. The obtained results show that the interaction of self-diffusion and cross-diffusion plays an important role on the pattern formation of the predator-prey system.

Suggested Citation

  • Gui-Quan Sun & Zhen Jin & Yi-Guo Zhao & Quan-Xing Liu & Li Li, 2009. "Spatial Pattern In A Predator-Prey System With Both Self- And Cross-Diffusion," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 20(01), pages 71-84.
  • Handle: RePEc:wsi:ijmpcx:v:20:y:2009:i:01:n:s0129183109013467
    DOI: 10.1142/S0129183109013467
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    Citations

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    Cited by:

    1. Wang, Caiyun & Qi, Suying, 2018. "Spatial dynamics of a predator-prey system with cross diffusion," Chaos, Solitons & Fractals, Elsevier, vol. 107(C), pages 55-60.
    2. Rana, Sourav & Bhattacharya, Sabyasachi & Samanta, Sudip, 2022. "Spatiotemporal dynamics of Leslie–Gower predator–prey model with Allee effect on both populations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 200(C), pages 32-49.
    3. Li, Qiang & Liu, Zhijun & Yuan, Sanling, 2019. "Cross-diffusion induced Turing instability for a competition model with saturation effect," Applied Mathematics and Computation, Elsevier, vol. 347(C), pages 64-77.
    4. Ghorai, Santu & Poria, Swarup, 2016. "Turing patterns induced by cross-diffusion in a predator-prey system in presence of habitat complexity," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 421-429.
    5. Xue, Lin, 2012. "Pattern formation in a predator–prey model with spatial effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(23), pages 5987-5996.
    6. Guin, Lakshmi Narayan & Djilali, Salih & Chakravarty, Santabrata, 2021. "Cross-diffusion-driven instability in an interacting species model with prey refuge," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).

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