Stochasticity induced mixed-mode oscillations and distribution of recurrent outbreaks in an ecosystem
Susmita Sadhu

TL;DR
This paper investigates how Gaussian noise influences predator-prey dynamics near a Hopf bifurcation, revealing noise-driven mixed-mode oscillations and outbreak distributions, with implications for understanding ecosystem fluctuations.
Contribution
It introduces a stochastic predator-prey model exhibiting noise-induced mixed-mode oscillations and characterizes the distribution of outbreak intervals using a Markov chain framework.
Findings
Noise induces mixed-mode oscillations not seen in deterministic models.
Distribution of outbreak intervals is asymptotically geometric.
Normal form analysis estimates outbreak recurrence probabilities.
Abstract
The effect of stochasticity, in the form of Gaussian white noise, in a predator-prey model with two distinct time-scales is presented. A supercritical singular Hopf bifurcation yields a Type II excitability in the deterministic model. We explore the effect of stochasticity in the excitable regime, leading to dynamics that are not anticipated by its deterministic counterpart. The stochastic model admits several kinds of noise-driven mixed-mode oscillations which capture the intermediate dynamics between two cycles of population outbreaks. Depending on the strength of noise, the prey population exhibits intermediate to high-amplitude fluctuations (related to moderate or severe outbreaks respectively). We classify these fluctuations as isolated or intermittent or as clusters depending on their recurrences. We study the distribution of the random variable , representing the number of…
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