Discrete time population dynamics of a two-stage species with recruitment and capture.

This work models and analyzes the dynamics of a two-stage species with recruitment and capture factors. It arises from the discretization of a previous model developed by Ladino and Valverde (2013), which represents a progress in the knowledge of the dynamics of exploited populations. Although the m...

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Detalles Bibliográficos
Autores: Ladino Martínez, Lilia M, Mammana , C, Michetti , E, Valverde Fajardo, José Carlos
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/44170
Acceso en línea:https://hdl.handle.net/10578/44170
Access Level:acceso abierto
Palabra clave:Capture
Global stability
Lyapunov methods
Population dynamics
Recruitment
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spelling Discrete time population dynamics of a two-stage species with recruitment and capture.Ladino Martínez, Lilia MMammana , CMichetti , EValverde Fajardo, José CarlosCaptureGlobal stabilityLyapunov methodsPopulation dynamicsRecruitmentThis work models and analyzes the dynamics of a two-stage species with recruitment and capture factors. It arises from the discretization of a previous model developed by Ladino and Valverde (2013), which represents a progress in the knowledge of the dynamics of exploited populations. Although the methods used here are related to the study of discrete-time systems and are different from those related to continuous version, the results are similar in both the discrete and the continuous case what confirm the skill in the selection of the factors to design the model. Unlike for the continuous-time case, for the discrete-time one some (non-negative) parametric constraints are derived from the biological significance of the model and become fundamental for the proofs of such results. Finally, numerical simulations show different scenarios of dynamics related to the analytical results which confirm the validity of the model.Elsevier202520252016info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://hdl.handle.net/10578/44170reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaEspañolMTM2014-51891-Pinfo:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/441702026-05-27T07:36:41Z
dc.title.none.fl_str_mv Discrete time population dynamics of a two-stage species with recruitment and capture.
title Discrete time population dynamics of a two-stage species with recruitment and capture.
spellingShingle Discrete time population dynamics of a two-stage species with recruitment and capture.
Ladino Martínez, Lilia M
Capture
Global stability
Lyapunov methods
Population dynamics
Recruitment
title_short Discrete time population dynamics of a two-stage species with recruitment and capture.
title_full Discrete time population dynamics of a two-stage species with recruitment and capture.
title_fullStr Discrete time population dynamics of a two-stage species with recruitment and capture.
title_full_unstemmed Discrete time population dynamics of a two-stage species with recruitment and capture.
title_sort Discrete time population dynamics of a two-stage species with recruitment and capture.
dc.creator.none.fl_str_mv Ladino Martínez, Lilia M
Mammana , C
Michetti , E
Valverde Fajardo, José Carlos
author Ladino Martínez, Lilia M
author_facet Ladino Martínez, Lilia M
Mammana , C
Michetti , E
Valverde Fajardo, José Carlos
author_role author
author2 Mammana , C
Michetti , E
Valverde Fajardo, José Carlos
author2_role author
author
author
dc.subject.none.fl_str_mv Capture
Global stability
Lyapunov methods
Population dynamics
Recruitment
topic Capture
Global stability
Lyapunov methods
Population dynamics
Recruitment
description This work models and analyzes the dynamics of a two-stage species with recruitment and capture factors. It arises from the discretization of a previous model developed by Ladino and Valverde (2013), which represents a progress in the knowledge of the dynamics of exploited populations. Although the methods used here are related to the study of discrete-time systems and are different from those related to continuous version, the results are similar in both the discrete and the continuous case what confirm the skill in the selection of the factors to design the model. Unlike for the continuous-time case, for the discrete-time one some (non-negative) parametric constraints are derived from the biological significance of the model and become fundamental for the proofs of such results. Finally, numerical simulations show different scenarios of dynamics related to the analytical results which confirm the validity of the model.
publishDate 2016
dc.date.none.fl_str_mv 2016
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10578/44170
url https://hdl.handle.net/10578/44170
dc.language.none.fl_str_mv Español
language_invalid_str_mv Español
dc.relation.none.fl_str_mv MTM2014-51891-P
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RUIdeRA. Repositorio Institucional de la UCLM
instname:Universidad de Castilla-La Mancha
instname_str Universidad de Castilla-La Mancha
reponame_str RUIdeRA. Repositorio Institucional de la UCLM
collection RUIdeRA. Repositorio Institucional de la UCLM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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