Turing patterns in a predator–prey model with seasonality

Title: Turing patterns in a predator–prey model with seasonality
Authors: Wang, Xiaoying
Lutscher, Frithjof
Date: 2019
Abstract: Many ecological systems show striking non-homogeneous population distributions. Diffusion-driven instabilities are commonly studied as mechanisms of pattern formation in many fields of biology but only rarely in ecology, in part because some of the conditions seem quite restrictive for ecological systems. Seasonal variation is ubiquitous in temperate ecosystems, yet its effect on pattern formation has not yet been explored. We formulate and analyze an impulsive reaction-diffusion system for a resource and its consumer in a two-season environment. While the resource grows throughout the 'summer' season, the consumer reproduces only once per year. We derive conditions for diffusion-driven instability in the system, and we show that pattern formation is possible with a Beddington-DeAngelis functional response. More importantly, we find that a low overwinter survival probability for the resource enhances the propensity for pattern formation: diffusion-driven instability occurs even when the diffusion rates of prey and predator are comparable (although not when they are equal).
URL: http://hdl.handle.net/10393/41451
DOI: 10.1007/s00285-018-1289-8
CollectionMathématiques et statistiques // Mathematics and Statistics
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