Drosophila suzukii (Diptera: Drosophilidae) distribution modelling improves our understanding of pest range limits

Autores
De La Vega, Gerardo, José; Corley, Juan Carlos
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Spatial distributions models (SDM) are often used in invasive pest management to understand current and potential distribution. Using data on the well-studied spotted wing drosophila as a model, we compared distribution patterns of the range-limit with commonly applied correlative and mechanistic models. Correlative models risk underestimation whereas simple mechanistic models provide overestimated range predictions, although using both approaches for the spotted wing drosophila improved range-limit predictions. Model choice when dealing with pests is central to the accurate identification of invasive species limit range and consequently for the deployment of monitoring and early detection programs.
Estación Experimental Agropecuaria Bariloche. Área de Recursos Forestales. Grupo de Ecología de Pobalciones de Insectos
Fil: De La Vega, Gerardo José. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Grupo de Ecologia de Poblaciones de Insectos. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Corley, Juan Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Grupo de Ecologia de Poblaciones de Insectos. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fuente
International Journal of Pest Management 65 (3) : 217-227 (2019)
Materia
Insecta
Drosophila
Especie Invasiva
Invasive Species
Drosophila Suzukii
Modelos de Distribución Espacial
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/7571
Acceder
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spelling Drosophila suzukii (Diptera: Drosophilidae) distribution modelling improves our understanding of pest range limitsDe La Vega, Gerardo, JoséCorley, Juan CarlosInsectaDrosophilaEspecie InvasivaInvasive SpeciesDrosophila SuzukiiModelos de Distribución EspacialSpatial distributions models (SDM) are often used in invasive pest management to understand current and potential distribution. Using data on the well-studied spotted wing drosophila as a model, we compared distribution patterns of the range-limit with commonly applied correlative and mechanistic models. Correlative models risk underestimation whereas simple mechanistic models provide overestimated range predictions, although using both approaches for the spotted wing drosophila improved range-limit predictions. Model choice when dealing with pests is central to the accurate identification of invasive species limit range and consequently for the deployment of monitoring and early detection programs.Estación Experimental Agropecuaria Bariloche. Área de Recursos Forestales. Grupo de Ecología de Pobalciones de InsectosFil: De La Vega, Gerardo José. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Grupo de Ecologia de Poblaciones de Insectos. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Corley, Juan Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Grupo de Ecologia de Poblaciones de Insectos. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaTaylor & Francis2020-07-17T16:34:16Z2020-07-17T16:34:16Z2019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/7571https://www.tandfonline.com/doi/abs/10.1080/09670874.2018.15474601366-5863https://doi.org/10.1080/09670874.2018.1547460International Journal of Pest Management 65 (3) : 217-227 (2019)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-10-23T11:17:19Zoai:localhost:20.500.12123/7571instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-23 11:17:20.199INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Drosophila suzukii (Diptera: Drosophilidae) distribution modelling improves our understanding of pest range limits
title Drosophila suzukii (Diptera: Drosophilidae) distribution modelling improves our understanding of pest range limits
spellingShingle Drosophila suzukii (Diptera: Drosophilidae) distribution modelling improves our understanding of pest range limits
De La Vega, Gerardo, José
Insecta
Drosophila
Especie Invasiva
Invasive Species
Drosophila Suzukii
Modelos de Distribución Espacial
title_short Drosophila suzukii (Diptera: Drosophilidae) distribution modelling improves our understanding of pest range limits
title_full Drosophila suzukii (Diptera: Drosophilidae) distribution modelling improves our understanding of pest range limits
title_fullStr Drosophila suzukii (Diptera: Drosophilidae) distribution modelling improves our understanding of pest range limits
title_full_unstemmed Drosophila suzukii (Diptera: Drosophilidae) distribution modelling improves our understanding of pest range limits
title_sort Drosophila suzukii (Diptera: Drosophilidae) distribution modelling improves our understanding of pest range limits
dc.creator.none.fl_str_mv De La Vega, Gerardo, José
Corley, Juan Carlos
author De La Vega, Gerardo, José
author_facet De La Vega, Gerardo, José
Corley, Juan Carlos
author_role author
author2 Corley, Juan Carlos
author2_role author
dc.subject.none.fl_str_mv Insecta
Drosophila
Especie Invasiva
Invasive Species
Drosophila Suzukii
Modelos de Distribución Espacial
topic Insecta
Drosophila
Especie Invasiva
Invasive Species
Drosophila Suzukii
Modelos de Distribución Espacial
dc.description.none.fl_txt_mv Spatial distributions models (SDM) are often used in invasive pest management to understand current and potential distribution. Using data on the well-studied spotted wing drosophila as a model, we compared distribution patterns of the range-limit with commonly applied correlative and mechanistic models. Correlative models risk underestimation whereas simple mechanistic models provide overestimated range predictions, although using both approaches for the spotted wing drosophila improved range-limit predictions. Model choice when dealing with pests is central to the accurate identification of invasive species limit range and consequently for the deployment of monitoring and early detection programs.
Estación Experimental Agropecuaria Bariloche. Área de Recursos Forestales. Grupo de Ecología de Pobalciones de Insectos
Fil: De La Vega, Gerardo José. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Grupo de Ecologia de Poblaciones de Insectos. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Corley, Juan Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Grupo de Ecologia de Poblaciones de Insectos. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
description Spatial distributions models (SDM) are often used in invasive pest management to understand current and potential distribution. Using data on the well-studied spotted wing drosophila as a model, we compared distribution patterns of the range-limit with commonly applied correlative and mechanistic models. Correlative models risk underestimation whereas simple mechanistic models provide overestimated range predictions, although using both approaches for the spotted wing drosophila improved range-limit predictions. Model choice when dealing with pests is central to the accurate identification of invasive species limit range and consequently for the deployment of monitoring and early detection programs.
publishDate 2019
dc.date.none.fl_str_mv 2019
2020-07-17T16:34:16Z
2020-07-17T16:34:16Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/7571
https://www.tandfonline.com/doi/abs/10.1080/09670874.2018.1547460
1366-5863
https://doi.org/10.1080/09670874.2018.1547460
url http://hdl.handle.net/20.500.12123/7571
https://www.tandfonline.com/doi/abs/10.1080/09670874.2018.1547460
https://doi.org/10.1080/09670874.2018.1547460
identifier_str_mv 1366-5863
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
dc.source.none.fl_str_mv International Journal of Pest Management 65 (3) : 217-227 (2019)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.982451

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