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Pattern formation in a predator–prey model on network and non-network environments

  • Mainul Haque*
  • , Junhao Chen
  • , Tong Bi
  • , Hongxi Chen
  • , Jiawei Chen
  • , Yibin Wang
  • , Masoom Bhargava
  • , Balram Dubey
  • , Anal Chatterjee
  • *Corresponding author for this work

Research output: Journal PublicationArticlepeer-review

Abstract

Pattern formation in mathematical modeling of biology has been a popular topic for a long time. In this study, we focus on possible patterns driven by Turing instability under the prey–predator model of nonlinear reaction–diffusion type in 2D space with the Allee effect and intra-species competition. We investigate pattern formation in predator–prey systems on both continuous media and network frameworks, highlighting how diffusion in continuous space and its Laplacian analogue on networks shape the emergence of Turing patterns. We derive the model from scratch, discuss three separate cases, and analyze the dynamics of both temporal and spatiotemporal dynamics of the models. Under circumstances where the Turing pattern does not exist, we present detailed proofs and use numerical simulation to demonstrate temporal Hopf bifurcation and patchy invasion. On the other hand, if the analytical conditions for the Turing pattern can be satisfied, we display patterns in our numerical simulations and give corresponding biological interpretations at the end.

Original languageEnglish
Article number118486
JournalChaos, Solitons and Fractals
Volume209
DOIs
Publication statusPublished - Aug 2026

Free Keywords

  • Allee effect
  • Network environment
  • Patchy invasion
  • Prey dependence
  • Reaction–diffusion system
  • Turing instability

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Mathematical Physics
  • General Engineering
  • General Physics and Astronomy
  • Applied Mathematics

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