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dc.contributor.authorAngulo Torga, Óscar 
dc.contributor.authorLópez Marcos, Juan Carlos 
dc.contributor.authorLópez Marcos, Miguel Ángel 
dc.contributor.authorMartínez Rodríguez, Julia 
dc.date.accessioned2022-04-28T12:17:20Z
dc.date.available2022-04-28T12:17:20Z
dc.date.issued2022
dc.identifier.citationCommunications in Nonlinear Science and Numerical Simulation, 2022, vol. 112, 106545es
dc.identifier.issn1007-5704es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/53070
dc.descriptionProducción Científicaes
dc.description.abstractA new age-structured model for a closed population with space-limited recruitment is proposed. The problem incorporates a time delay in the settlement process representing, for a marine population of invertebrates, the pelagic larval phase previous to the sessile stage. The model possesses a nontrivial steady state which is investigated. For a deeper analysis of the stability of this equilibrium, depending on the delay, an appropriate numerical method is proposed. The nontrivial equilibrium of the numerical scheme, based on the representation of the solution along the characteristics lines, is also analyzed. For a test model associated with the dynamics of a population of barnacles, numerical experiments describing the asymptotic behavior of the solutions varying the delay are provided. In this case, the delay behaves as a destabilizing parameter of the dynamics of the model.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherElsevieres
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.classificationPopulations dynamicses
dc.subject.classificationDinámica de poblacioneses
dc.subject.classificationNumerical methodses
dc.subject.classificationMétodos numéricoses
dc.titleAn age-structured population model with delayed and space-limited recruitmentes
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2022 The Authorses
dc.identifier.doi10.1016/j.cnsns.2022.106545es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1007570422001642?via%3Dihubes
dc.peerreviewedSIes
dc.description.projectMinisterio de Economía, Industria y Competitividad - Fondo Europeo de Desarrollo Regional (grant MTM2017- 85476-C2-1-P)es
dc.description.projectAgencia Estatal de Investigación (grant PID2020-113554GB-I00/AEI/10.13039/501100011033)es
dc.description.projectJunta de Castilla y León - Fondo Europeo de Desarrollo Regional (project VA193P20)es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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