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Turing instability and pattern formation in a diffusive predator-prey system with opportunistic predators and weak

Wenjie Li1,2, Wenhao Bai1, Jinde Cao2,3

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Physical Review. E
|May 16, 2026
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Summary

This study explores Turing instability in predator-prey models. Diffusion can trigger instability, and while noise may destabilize, it can also enhance system stability.

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Area of Science:

  • Mathematical Biology
  • Ecology
  • Dynamical Systems

Background:

  • Predator-prey models are fundamental in ecology.
  • Turing instability explains pattern formation in biological systems.
  • Allee effects and diffusion significantly influence population dynamics.

Purpose of the Study:

  • To investigate Turing instability in a diffusive predator-prey system.
  • To analyze the impact of an opportunistic predator and prey Allee effect.
  • To examine the role of diffusion and stochastic noise on system stability.

Main Methods:

  • Applied the upper-lower solution method to determine solution existence and bounds.
  • Analyzed the conditions for Turing instability in homogeneous steady states.
  • Utilized numerical simulations to validate analytical findings.
  • Investigated a stochastic reaction-diffusion model with additive white noise.

Main Results:

  • Established the existence of positive solutions and derived estimates.
  • Demonstrated that diffusion can induce Turing instability.
  • Numerical simulations confirmed the analytical predictions.
  • Found that white noise can enhance system stability in the stochastic model.

Conclusions:

  • Diffusion is a key factor in pattern formation within this predator-prey system.
  • The interplay between diffusion, Allee effects, and predator behavior drives complex dynamics.
  • Stochastic noise can have a stabilizing effect, contrasting with deterministic predictions.