Mostrar el registro sencillo del ítem
dc.contributor.author
Piacenza, Maria Florencia
dc.contributor.author
Gomez, Maria Daniela
dc.contributor.author
Simone, Ivana
dc.contributor.author
Lamfri, M.
dc.contributor.author
Scavuzzo, Carlos Marcelo
dc.contributor.author
Calderón, G. E.
dc.contributor.author
Polop, J. J.
dc.date.available
2023-04-24T15:56:17Z
dc.date.issued
2011-12
dc.identifier.citation
Piacenza, Maria Florencia; Gomez, Maria Daniela; Simone, Ivana; Lamfri, M.; Scavuzzo, Carlos Marcelo; et al.; Providing management options to control corn mouse (Calomys musculinus) reservoir populations using a cohort structured model; Taylor & Francis Ltd; International Journal of Pest Management; 57; 4; 12-2011; 255-265
dc.identifier.issn
0967-0874
dc.identifier.uri
http://hdl.handle.net/11336/195167
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Taylor & Francis Ltd
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
ARGENTINE HEMORRHAGIC FEVER
dc.subject
CALOMYS MUSCULINUS
dc.subject
INTEGRATED PEST MANAGEMENT
dc.subject
REMOTE SENSING
dc.subject
RESOURCE MANAGEMENT
dc.subject
RODENT ECOLOGY
dc.subject
RODENT RESERVOIRS
dc.subject
STRUCTURED MODELS
dc.subject.classification
Otras Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Providing management options to control corn mouse (Calomys musculinus) reservoir populations using a cohort structured model
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-04-24T15:05:28Z
dc.journal.volume
57
dc.journal.number
4
dc.journal.pagination
255-265
dc.journal.pais
Reino Unido
dc.journal.ciudad
Londres
dc.description.fil
Fil: Piacenza, Maria Florencia. Universidad Nacional de Río Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
dc.description.fil
Fil: Gomez, Maria Daniela. Universidad Nacional de Río Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
dc.description.fil
Fil: Simone, Ivana. Universidad Nacional de Río Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
dc.description.fil
Fil: Lamfri, M.. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina
dc.description.fil
Fil: Scavuzzo, Carlos Marcelo. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina
dc.description.fil
Fil: Calderón, G. E.. Dirección Nacional de Instituto de Investigación.Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán"; Argentina
dc.description.fil
Fil: Polop, J. J.. Universidad Nacional de Río Cuarto; Argentina
dc.journal.title
International Journal of Pest Management
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1080/09670874.2011.590240
Archivos asociados