{"title":"Effect of dispersal-induced death in predator–prey metapopulation system with bistable local dynamics","authors":"Sounov Marick, Nandadulal Bairagi","doi":"10.1016/j.physd.2025.134597","DOIUrl":null,"url":null,"abstract":"<div><div>Metapopulation survivability largely depends on the efficient spatial movement of dispersing populations. This study investigates the predator–prey metapopulation model, where the patches are connected by weighted mean-field coupling, capturing species loss due to inefficient dispersal, along with bistability in the local system. Using a semi-analytical approach, it dissects the dynamics of individual patch system (IPS) and homogeneous patch system (HPS), a limiting case of the metapopulation with a homogeneous population distribution. Though HPS can capture a holistic metapopulation dynamic, including persistence and extinction, it fails to differentiate multi-clustered states arising from low dispersal rates and the initial value-dependent behaviours. Our simulation results uncover various emergent metapopulation dynamics, like homogeneous steady states (HSS), global synchrony, multi-cluster and chimera states. It shows that the metapopulation exhibits amplitude death (AD) and oscillation death (OD) based on the dispersal rate, efficiency, and initial active/inactive patch numbers. Moreover, the study formulates a distance-dependent dispersal efficiency on a geometrically generated network with asymmetric patch arrangement. Distance-dependent dispersal efficiency increases the occurrence of the OD state in the parametric plane. Understanding these dynamics sheds light on species survivability in metapopulation and underscores the importance of efficient spatial movement.</div></div>","PeriodicalId":20050,"journal":{"name":"Physica D: Nonlinear Phenomena","volume":"476 ","pages":"Article 134597"},"PeriodicalIF":2.7000,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physica D: Nonlinear Phenomena","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167278925000764","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
Metapopulation survivability largely depends on the efficient spatial movement of dispersing populations. This study investigates the predator–prey metapopulation model, where the patches are connected by weighted mean-field coupling, capturing species loss due to inefficient dispersal, along with bistability in the local system. Using a semi-analytical approach, it dissects the dynamics of individual patch system (IPS) and homogeneous patch system (HPS), a limiting case of the metapopulation with a homogeneous population distribution. Though HPS can capture a holistic metapopulation dynamic, including persistence and extinction, it fails to differentiate multi-clustered states arising from low dispersal rates and the initial value-dependent behaviours. Our simulation results uncover various emergent metapopulation dynamics, like homogeneous steady states (HSS), global synchrony, multi-cluster and chimera states. It shows that the metapopulation exhibits amplitude death (AD) and oscillation death (OD) based on the dispersal rate, efficiency, and initial active/inactive patch numbers. Moreover, the study formulates a distance-dependent dispersal efficiency on a geometrically generated network with asymmetric patch arrangement. Distance-dependent dispersal efficiency increases the occurrence of the OD state in the parametric plane. Understanding these dynamics sheds light on species survivability in metapopulation and underscores the importance of efficient spatial movement.
期刊介绍:
Physica D (Nonlinear Phenomena) publishes research and review articles reporting on experimental and theoretical works, techniques and ideas that advance the understanding of nonlinear phenomena. Topics encompass wave motion in physical, chemical and biological systems; physical or biological phenomena governed by nonlinear field equations, including hydrodynamics and turbulence; pattern formation and cooperative phenomena; instability, bifurcations, chaos, and space-time disorder; integrable/Hamiltonian systems; asymptotic analysis and, more generally, mathematical methods for nonlinear systems.