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Photosynthesis rate, salinity induced grazing rate and gestation delay as determinants of the dynamics of a realistic food chain model: a stochastic approach
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  • 作者:Ujjwal Roy ; N. C. Majee ; Santanu Ray
  • 关键词:Photosynthesis rate ; Salinity induced grazing rate ; Gestation delay ; Hopf ; bifurcation ; Gaussian white ; noise
  • 刊名:Modeling Earth Systems and Environment
  • 出版年:2016
  • 出版时间:June 2016
  • 年:2016
  • 卷:2
  • 期:2
  • 全文大小:674 KB
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  • 作者单位:Ujjwal Roy (1)
    N. C. Majee (1)
    Santanu Ray (2)

    1. Department of Mathematics, Jadavpur University, Kolkata, 700 032, India
    2. Ecological Modelling Laboratory, Department of Zoology, Visva Bharati University, Santiniketan, 731 235, India
  • 刊物类别:Earth System Sciences; Math. Appl. in Environmental Science; Statistics for Engineering, Physics, Co
  • 刊物主题:Earth System Sciences; Math. Appl. in Environmental Science; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Mathematical Applications in the Physical Sciences; Ec
  • 出版者:Springer International Publishing
  • ISSN:2363-6211
文摘
Impact of photosynthesis rate of phytoplankton, salinity induced grazing rate of zooplankton and gestation delay of zooplankton and fish population are considered in the present study. Models with delay are much more realistic, as in reality time delays occur in almost every biological situation and assume to be one of the reasons of regular fluctuations in population density. Reproduction of predator after consuming prey is not instantaneous, but mediated by some time lag required for gestation. It is observed that there is stability switches and Hopf bifurcation occurs when the delay crosses some critical value. It is observed that the quantitative level of abundance of system population depends crucially on the delay parameter if the gestation period exceeds some critical value. Also, environmental stochasticity in the form of Gaussian white-noise, plays a significant role to describe the system and its values. Numerical examples are also support the model assumption and analytical results.

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