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Bifurcation analysis of a new aquatic ecological model with aggregation effect

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  • Li, Xinxin
  • Yu, Hengguo
  • Dai, Chuanjun
  • Ma, Zengling
  • Wang, Qi
  • Zhao, Min

Abstract

In the paper, to better understand the dynamic relationship between Microcystis aeruginosa and filter-feeding fish, we have constructed a new aquatic ecological model to describe the aggregation effect of Microcystis aeruginosa. Mathematical theory works mainly investigated the critical threshold condition through the discovery of transcritical bifurcation, saddle–node bifurcation, Hopf bifurcation and Bogdanov–Takens bifurcation. The numerical simulation works mainly revealed that Microcystis aeruginosa aggregation effect has played an important role in the dynamic relationship with the aid of bifurcation analysis, which also in turn proved the validity of theoretical derivation. The results showed that if the Microcystis aeruginosa aggregation area became larger and larger, and exceeded a critical threshold, the filter-feeding fish would eventually go extinct. Furthermore, it should be stressed that Microcystis aeruginosa aggregation can effectively control the feeding dynamic behavior of filter-feeding fish and provide shelter from predators. Finally, all these results were expected to be useful in studying population dynamics of some aquatic ecosystems.

Suggested Citation

  • Li, Xinxin & Yu, Hengguo & Dai, Chuanjun & Ma, Zengling & Wang, Qi & Zhao, Min, 2021. "Bifurcation analysis of a new aquatic ecological model with aggregation effect," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 190(C), pages 75-96.
    • Handle: RePEc:eee:matcom:v:190:y:2021:i:c:p:75-96
    DOI: 10.1016/j.matcom.2021.05.015
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    References listed on IDEAS

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    1. Lv, Yunfei & Pei, Yongzhen & Wang, Yong, 2019. "Bifurcations and simulations of two predator–prey models with nonlinear harvesting," Chaos, Solitons & Fractals, Elsevier, vol. 120(C), pages 158-170.
    2. Banerjee, Ritwick & Das, Pritha & Mukherjee, Debasis, 2018. "Stability and permanence of a discrete-time two-prey one-predator system with Holling Type-III functional response," Chaos, Solitons & Fractals, Elsevier, vol. 117(C), pages 240-248.
    3. Shuangte Wang & Hengguo Yu & Rodica Luca, 2021. "Complexity Analysis of a Modified Predator-Prey System with Beddington–DeAngelis Functional Response and Allee-Like Effect on Predator," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-18, February.
    4. Li, Yilong & Xiao, Dongmei, 2007. "Bifurcations of a predator–prey system of Holling and Leslie types," Chaos, Solitons & Fractals, Elsevier, vol. 34(2), pages 606-620.
    5. Nan Wang & Min Zhao & Hengguo Yu & Chuanjun Dai & Beibei Wang & Pengfei Wang, 2016. "Bifurcation Behavior Analysis in a Predator-Prey Model," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-11, March.
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