Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/116796
DC FieldValueLanguage
dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorWang, Men_US
dc.creatorLou, Yen_US
dc.creatorHuang, Qen_US
dc.date.accessioned2026-01-20T08:07:37Z-
dc.date.available2026-01-20T08:07:37Z-
dc.identifier.issn1007-5704en_US
dc.identifier.urihttp://hdl.handle.net/10397/116796-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectCritical domain sizeen_US
dc.subjectDistinct dispersal and sedentary stagesen_US
dc.subjectHybrid modelen_US
dc.subjectSpatial dynamicsen_US
dc.titleDynamical analysis of a parabolic–hyperbolic hybrid model for species with distinct dispersal and sedentary stagesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume149en_US
dc.identifier.doi10.1016/j.cnsns.2025.108907en_US
dcterms.abstractMost marine and plant species exhibit two main life stages: a dispersing stage and a sedentary stage. These stages significantly influence the species’ spatial distribution and abundance patterns. To accurately depict the spatial patterns of these species, this paper investigates a hybrid system that combines parabolic and hyperbolic elements, effectively differentiating between the dispersal and sedentary stages. Further spatiotemporal dynamical analysis is conducted to comprehend the large-scale distribution patterns and geographic ranges. Specifically, the model is reformulated into a time-delayed nonlocal system. The existence of spreading speed and its alignment with the minimal wave speed for monotone traveling waves are confirmed for unbounded spatial domains. Meanwhile, a threshold-type result is observed regarding the global attractiveness of the zero or positive steady state for bounded domains. Conditions for population persistence and extinction under both Neumann and Dirichlet boundary conditions are derived. It is further established that the persistence or extinction of the population may be determined by a critical domain size under Dirichlet boundary conditions. Numerical simulations are conducted to provide additional quantitative results, complementing the theoretical findings.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationCommunications in nonlinear science and numerical simulation, Oct. 2025, v. 149, 108907en_US
dcterms.isPartOfCommunications in nonlinear science and numerical simulationen_US
dcterms.issued2025-10-
dc.identifier.scopus2-s2.0-105004256282-
dc.identifier.artn108907en_US
dc.description.validate202601 bchyen_US
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG000740/2025-11-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe work of this author is supported in part by the National Natural Science Foundation of China (12071393) and the General Research Fund from The Hong Kong Research Grants Council (15307823).The work of this author is supported by the National Natural Science Foundation of China (12271445).en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2027-10-31en_US
dc.description.oaCategoryGreen (AAM)en_US
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