The Stochastic Gause Predator-Prey model: Noise-induced extinctions and invariance
- Universidad de Antioquia, Medellín (Colombia)
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
We consider the Gause predator-prey with general bounded or sub‑linear functional responses, – which includes those of Holling types Ⅰ–Ⅳ. – and multiplicative Gaussian noise. In contrast to previous studies, the prey in our model follows logistic dynamics while the predator's population is solely regulated by consumption of the prey. To ensure well-posedeness, we derive explicit Lyapunov‐type criteria ensuring global positivity and moment boundedness of solutions. We find conditions for noise‑induced extinctions, proving that stochasticity can drive either population to collapse even when the deterministic analogue predicts stable coexistence. In the case when the predator becomes extinct, we establish a limiting distribution for the predator's population. Last, for functional responses of Holling type Ⅰ, we provide sufficient conditions on the intensity of the noise for the existence and uniqueness of a stationary distribution.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC); USDOE Laboratory Directed Research and Development (LDRD) Program
- Grant/Contract Number:
- AC05-00OR22725
- OSTI ID:
- 3002779
- Journal Information:
- Mathematical Biosciences and Engineering, Journal Name: Mathematical Biosciences and Engineering Journal Issue: 8 Vol. 22; ISSN 1551-0018
- Publisher:
- AIMS PressCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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