Lotka-Volterra predator-prey model with periodically varying carrying capacity

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dc.contributor.authorSwailem, Mohameden
dc.contributor.authorTauber, Uwe C.en
dc.date.accessioned2023-11-20T13:15:17Zen
dc.date.available2023-11-20T13:15:17Zen
dc.date.issued2023-06-30en
dc.date.updated2023-11-18T23:41:24Zen
dc.description.abstractWe study the stochastic spatial Lotka-Volterra model for predator-prey interaction subject to a periodically varying carrying capacity. The Lotka-Volterra model with on-site lattice occupation restrictions (i.e., finite local carrying capacity) that represent finite food resources for the prey population exhibits a continuous active-to-absorbing phase transition. The active phase is sustained by the existence of spatiotemporal patterns in the form of pursuit and evasion waves. Monte Carlo simulations on a two-dimensional lattice are utilized to investigate the effect of seasonal variations of the environment on species coexistence. The results of our simulations are also compared to a mean-field analysis in order to specifically delineate the impact of stochastic fluctuations and spatial correlations. We find that the parameter region of predator and prey coexistence is enlarged relative to the stationary situation when the carrying capacity varies periodically. The (quasi-)stationary regime of our periodically varying Lotka-Volterra predator-prey system shows qualitative agreement between the stochastic model and the mean-field approximation. However, under periodic carrying capacity-switching environments, the mean-field rate equations predict period-doubling scenarios that are washed out by internal reaction noise in the stochastic lattice model. Utilizing visual representations of the lattice simulations and dynamical correlation functions, we study how the pursuit and evasion waves are affected by ensuing resonance effects. Correlation function measurements indicate a time delay in the response of the system to sudden changes in the environment. Resonance features are observed in our simulations that cause prolonged persistent spatial correlations. Different effective static environments are explored in the extreme limits of fast and slow periodic switching. The analysis of the mean-field equations in the fast-switching regime enables a semiquantitative description of the (quasi-)stationary state.en
dc.description.versionAccepted versionen
dc.format.extent16 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifierARTN 064144 (Article number)en
dc.identifier.doihttps://doi.org/10.1103/PhysRevE.107.064144en
dc.identifier.eissn2470-0053en
dc.identifier.issn2470-0045en
dc.identifier.issue6en
dc.identifier.orcidTauber, Uwe [0000-0001-7854-2254]en
dc.identifier.pmid37464668en
dc.identifier.urihttp://hdl.handle.net/10919/116676en
dc.identifier.volume107en
dc.language.isoenen
dc.publisherAmerican Physical Societyen
dc.relation.urihttps://www.ncbi.nlm.nih.gov/pubmed/37464668en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectPhysics, Fluids & Plasmasen
dc.subjectPhysics, Mathematicalen
dc.subjectPhysicsen
dc.subjectLATTICE-GAS MODELen
dc.subjectOSCILLATORY BEHAVIORen
dc.subjectPHASE-TRANSITIONen
dc.subjectPOPULATIONen
dc.subjectFLUCTUATIONSen
dc.subjectCOMPETITIONen
dc.subjectSTABILITYen
dc.subjectEQUATIONSen
dc.subjectDYNAMICSen
dc.subjectSYSTEMSen
dc.subject51 Physical Sciencesen
dc.subject5103 Classical Physicsen
dc.subject40 Engineeringen
dc.subject49 Mathematical sciencesen
dc.titleLotka-Volterra predator-prey model with periodically varying carrying capacityen
dc.title.serialPhysical Review Een
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dc.type.otherJournalen
dcterms.dateAccepted2023-06-12en
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Scienceen
pubs.organisational-group/Virginia Tech/Science/Physicsen
pubs.organisational-group/Virginia Tech/Faculty of Health Sciencesen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Science/COS T&R Facultyen

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