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Stability and Hopf Bifurcation in a Three-Component Planktonic Model with Spatial Diffusion and Time Delay

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  • Kejun Zhuang
  • Gao Jia
  • Dezhi Liu

Abstract

Due to the different roles that nontoxic phytoplankton and toxin-producing phytoplankton play in the whole aquatic system, a delayed reaction-diffusion planktonic model under homogeneous Neumann boundary condition is investigated theoretically and numerically. This model describes the interactions between the zooplankton and two kinds of phytoplanktons. The long-time behavior of the model and existence of positive constant equilibrium solution are first discussed. Then, the stability of constant equilibrium solution and occurrence of Hopf bifurcation are detailed and analyzed by using the bifurcation theory. Moreover, the formulas for determining the bifurcation direction and stability of spatially bifurcating solutions are derived. Finally, some numerical simulations are performed to verify the appearance of the spatially homogeneous and nonhomogeneous periodic solutions.

Suggested Citation

  • Kejun Zhuang & Gao Jia & Dezhi Liu, 2019. "Stability and Hopf Bifurcation in a Three-Component Planktonic Model with Spatial Diffusion and Time Delay," Complexity, Hindawi, vol. 2019, pages 1-17, July.
    • Handle: RePEc:hin:complx:4590915
    DOI: 10.1155/2019/4590915
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    References listed on IDEAS

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    1. Zhang, Jia-Fang & Wang, Shaoli & Kong, Xiangjun, 2018. "Effects of toxin delay on the dynamics of a phytoplankton–zooplankton model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 1150-1162.
    2. Pal, S. & Chatterjee, Samrat & Das, Krishna pada & Chattopadhyay, J., 2009. "Role of competition in phytoplankton population for the occurrence and control of plankton bloom in the presence of environmental fluctuations," Ecological Modelling, Elsevier, vol. 220(2), pages 96-110.
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    Cited by:

    1. Raw, Sharada Nandan & Sahu, Sevak Ram, 2023. "Strong stability with impact of maturation delay and diffusion on a toxin producing phytoplankton–zooplankton model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 210(C), pages 547-570.

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