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Stationary distribution and mean extinction time in a generalist prey–predator model driven by Lévy noises

Author

Listed:
  • Zhuo, Xiao-jing
  • Guo, Yong-feng
  • Qi, Jing-yan
  • Wang, Qian-qian

Abstract

In this study, a delayed generalist prey–predator model incorporating the logistic-like growth and Holling type-III functional response for predator subjected to two Lévy noises is established. Such environmental fluctuations can describe abrupt change in population density. First, we conduct stability analysis and determine the critical value of time delay when Hopf bifurcation takes place. Then, the existence of the global positive solution and stability in distribution of stochastic model are studied. Numerical results are given to illustrate the analytical findings, and mainly dedicated to the consequences of time delay and Lévy noises on the stationary distribution, mean extinction time and reproduction rate of prey–predator populations, via stationary probability distribution function (PDF), mean first passage time (MFPT) and relaxation time, respectively. Our findings indicate that the decreases in time delay, noise intensities (Di,i=1,2), and stability indexes within the range of αi∈[1,2] are more likely to maintain the population in a high density state. Phase transition occurs when the system is in the suitable parameter regime. Additionally, there exist optimal noise intensities that slow down switching of prey species from a stable state to an extinction state. Smaller time delay τ and stability indexes αi inhibit population extinction, whereas smaller skewness parameter β speed up prey extinction. More importantly, two noises can tune the enhanced stability characteristic of the system.

Suggested Citation

  • Zhuo, Xiao-jing & Guo, Yong-feng & Qi, Jing-yan & Wang, Qian-qian, 2024. "Stationary distribution and mean extinction time in a generalist prey–predator model driven by Lévy noises," Chaos, Solitons & Fractals, Elsevier, vol. 187(C).
  • Handle: RePEc:eee:chsofr:v:187:y:2024:i:c:s0960077924009846
    DOI: 10.1016/j.chaos.2024.115432
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