Providing management options to control corn mouse (Calomys musculinus) reservoir populations using a cohort structured model

Autores
Piacenza, M. F.; Gomez, M. D.; Simone, I.; Lamfri, Mario; Scavuzzo, C. M.; Calderón, Gladys; Polop, Jaime J
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Piacenza, M. F. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires; Argentina.
Fil: Gomez, M. D. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
Fil: Simone, I. Grupo de Investigación en Ecología de Poblaciones, Facultad de Ciencias Exactas, Físico-Químicas y Naturales, Universidad Nacional de Río Cuarto, Córdoba; Argentina.
Fil: Lamfri, Mario. Instituto Gulich, Comisión Nacional de Actividades Espaciales, Centro Espacial Teófilo Tabanera, Falda del Cañete, Córdoba; Argentina.
Fil: Scavuzzo, C. M. Instituto Gulich, Comisión Nacional de Actividades Espaciales, Centro Espacial Teófilo Tabanera, Falda del Cañete, Córdoba; Argentina.
Fil: Calderón, Gladys. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Virales Humanas; Argentina.
Fil: Polop, Jaime J. Grupo de Investigación en Ecología de Poblaciones, Facultad de Ciencias Exactas, Físico-Químicas y Naturales, Universidad Nacional de Río Cuarto, Córdoba; Argentina.
We evaluate several management options for Calomys musculinus populations through the formulation and validation of a cohort structured model. Initially, a basic model was constructed and validated using field population data. Next, the model was altered to allow us to evaluate different management options. In general, basic model results were in agreement with field data, demonstrating that this model would be useful in describing aspects of corn mouse population dynamics. Restricting control measures to when mouse numbers reach high levels would be inadequate, because population numbers tend to increase in size after some years. In contrast, reducing vegetation cover in spring was more effective in reducing field population abundances. Despite some limitations, the model could be useful for evaluating the relationships between population dynamics and some biotic or physical environmental variables, and thus ensure more efficient use of resources in integrated pest management.
Fuente
International Journal of Pest Management 2011; 57(4): 255-265.
Materia
Fiebre Hemorrágica Americana
Gestión de Recursos
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Repositorio
Sistema de Gestión del Conocimiento ANLIS MALBRÁN
Institución
Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán"
OAI Identificador
oai:sgc.anlis.gob.ar:Publications/123456789/522

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spelling Providing management options to control corn mouse (Calomys musculinus) reservoir populations using a cohort structured modelPiacenza, M. F.Gomez, M. D.Simone, I.Lamfri, MarioScavuzzo, C. M.Calderón, GladysPolop, Jaime JFiebre Hemorrágica AmericanaGestión de RecursosFil: Piacenza, M. F. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires; Argentina.Fil: Gomez, M. D. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, ArgentinaFil: Simone, I. Grupo de Investigación en Ecología de Poblaciones, Facultad de Ciencias Exactas, Físico-Químicas y Naturales, Universidad Nacional de Río Cuarto, Córdoba; Argentina.Fil: Lamfri, Mario. Instituto Gulich, Comisión Nacional de Actividades Espaciales, Centro Espacial Teófilo Tabanera, Falda del Cañete, Córdoba; Argentina.Fil: Scavuzzo, C. M. Instituto Gulich, Comisión Nacional de Actividades Espaciales, Centro Espacial Teófilo Tabanera, Falda del Cañete, Córdoba; Argentina.Fil: Calderón, Gladys. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Virales Humanas; Argentina.Fil: Polop, Jaime J. Grupo de Investigación en Ecología de Poblaciones, Facultad de Ciencias Exactas, Físico-Químicas y Naturales, Universidad Nacional de Río Cuarto, Córdoba; Argentina.We evaluate several management options for Calomys musculinus populations through the formulation and validation of a cohort structured model. Initially, a basic model was constructed and validated using field population data. Next, the model was altered to allow us to evaluate different management options. In general, basic model results were in agreement with field data, demonstrating that this model would be useful in describing aspects of corn mouse population dynamics. Restricting control measures to when mouse numbers reach high levels would be inadequate, because population numbers tend to increase in size after some years. In contrast, reducing vegetation cover in spring was more effective in reducing field population abundances. Despite some limitations, the model could be useful for evaluating the relationships between population dynamics and some biotic or physical environmental variables, and thus ensure more efficient use of resources in integrated pest management.Taylor and Francis2011-07-04info:ar-repo/semantics/articuloinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdf1366-5863http://sgc.anlis.gob.ar/handle/123456789/52210.1080/09670874.2011.590240International Journal of Pest Management 2011; 57(4): 255-265.reponame:Sistema de Gestión del Conocimiento ANLIS MALBRÁNinstname:Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán"instacron:ANLISInternational Journal of Pest Managementenginfo:eu-repo/semantics/openAccess2025-10-23T11:19:47Zoai:sgc.anlis.gob.ar:Publications/123456789/522Institucionalhttp://sgc.anlis.gob.ar/Organismo científico-tecnológicoNo correspondehttp://sgc.anlis.gob.ar/oai/biblioteca@anlis.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2025-10-23 11:19:48.111Sistema de Gestión del Conocimiento ANLIS MALBRÁN - Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán"false
dc.title.none.fl_str_mv Providing management options to control corn mouse (Calomys musculinus) reservoir populations using a cohort structured model
title Providing management options to control corn mouse (Calomys musculinus) reservoir populations using a cohort structured model
spellingShingle Providing management options to control corn mouse (Calomys musculinus) reservoir populations using a cohort structured model
Piacenza, M. F.
Fiebre Hemorrágica Americana
Gestión de Recursos
title_short Providing management options to control corn mouse (Calomys musculinus) reservoir populations using a cohort structured model
title_full Providing management options to control corn mouse (Calomys musculinus) reservoir populations using a cohort structured model
title_fullStr Providing management options to control corn mouse (Calomys musculinus) reservoir populations using a cohort structured model
title_full_unstemmed Providing management options to control corn mouse (Calomys musculinus) reservoir populations using a cohort structured model
title_sort Providing management options to control corn mouse (Calomys musculinus) reservoir populations using a cohort structured model
dc.creator.none.fl_str_mv Piacenza, M. F.
Gomez, M. D.
Simone, I.
Lamfri, Mario
Scavuzzo, C. M.
Calderón, Gladys
Polop, Jaime J
author Piacenza, M. F.
author_facet Piacenza, M. F.
Gomez, M. D.
Simone, I.
Lamfri, Mario
Scavuzzo, C. M.
Calderón, Gladys
Polop, Jaime J
author_role author
author2 Gomez, M. D.
Simone, I.
Lamfri, Mario
Scavuzzo, C. M.
Calderón, Gladys
Polop, Jaime J
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Fiebre Hemorrágica Americana
Gestión de Recursos
topic Fiebre Hemorrágica Americana
Gestión de Recursos
dc.description.none.fl_txt_mv Fil: Piacenza, M. F. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires; Argentina.
Fil: Gomez, M. D. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
Fil: Simone, I. Grupo de Investigación en Ecología de Poblaciones, Facultad de Ciencias Exactas, Físico-Químicas y Naturales, Universidad Nacional de Río Cuarto, Córdoba; Argentina.
Fil: Lamfri, Mario. Instituto Gulich, Comisión Nacional de Actividades Espaciales, Centro Espacial Teófilo Tabanera, Falda del Cañete, Córdoba; Argentina.
Fil: Scavuzzo, C. M. Instituto Gulich, Comisión Nacional de Actividades Espaciales, Centro Espacial Teófilo Tabanera, Falda del Cañete, Córdoba; Argentina.
Fil: Calderón, Gladys. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Virales Humanas; Argentina.
Fil: Polop, Jaime J. Grupo de Investigación en Ecología de Poblaciones, Facultad de Ciencias Exactas, Físico-Químicas y Naturales, Universidad Nacional de Río Cuarto, Córdoba; Argentina.
We evaluate several management options for Calomys musculinus populations through the formulation and validation of a cohort structured model. Initially, a basic model was constructed and validated using field population data. Next, the model was altered to allow us to evaluate different management options. In general, basic model results were in agreement with field data, demonstrating that this model would be useful in describing aspects of corn mouse population dynamics. Restricting control measures to when mouse numbers reach high levels would be inadequate, because population numbers tend to increase in size after some years. In contrast, reducing vegetation cover in spring was more effective in reducing field population abundances. Despite some limitations, the model could be useful for evaluating the relationships between population dynamics and some biotic or physical environmental variables, and thus ensure more efficient use of resources in integrated pest management.
description Fil: Piacenza, M. F. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires; Argentina.
publishDate 2011
dc.date.none.fl_str_mv 2011-07-04
dc.type.none.fl_str_mv info:ar-repo/semantics/articulo
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv 1366-5863
http://sgc.anlis.gob.ar/handle/123456789/522
10.1080/09670874.2011.590240
identifier_str_mv 1366-5863
10.1080/09670874.2011.590240
url http://sgc.anlis.gob.ar/handle/123456789/522
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Journal of Pest Management
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Taylor and Francis
publisher.none.fl_str_mv Taylor and Francis
dc.source.none.fl_str_mv International Journal of Pest Management 2011; 57(4): 255-265.
reponame:Sistema de Gestión del Conocimiento ANLIS MALBRÁN
instname:Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán"
instacron:ANLIS
reponame_str Sistema de Gestión del Conocimiento ANLIS MALBRÁN
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instname_str Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán"
instacron_str ANLIS
institution ANLIS
repository.name.fl_str_mv Sistema de Gestión del Conocimiento ANLIS MALBRÁN - Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán"
repository.mail.fl_str_mv biblioteca@anlis.gov.ar
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