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dc.contributor.author
de la Vega, Gerardo José  
dc.contributor.author
Corley, Juan Carlos  
dc.date.available
2020-08-31T17:42:03Z  
dc.date.issued
2019-07  
dc.identifier.citation
de la Vega, Gerardo José; Corley, Juan Carlos; Drosophila suzukii (Diptera: Drosophilidae) distribution modelling improves our understanding of pest range limits; Taylor & Francis Ltd; International Journal of Pest Management; 65; 3; 7-2019; 217-227  
dc.identifier.issn
0967-0874  
dc.identifier.uri
http://hdl.handle.net/11336/112789  
dc.description.abstract
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  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Taylor & Francis Ltd  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
INVASIVE SPECIES  
dc.subject
FRUIT FLIES  
dc.subject
ECOPHYSIOLOGY  
dc.subject
CORRELATIVE MODELS  
dc.subject.classification
Agricultura  
dc.subject.classification
Agricultura, Silvicultura y Pesca  
dc.subject.classification
CIENCIAS AGRÍCOLAS  
dc.title
Drosophila suzukii (Diptera: Drosophilidae) distribution modelling improves our understanding of pest range limits  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-06-30T17:57:08Z  
dc.journal.volume
65  
dc.journal.number
3  
dc.journal.pagination
217-227  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: de la Vega, Gerardo José. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina  
dc.description.fil
Fil: Corley, Juan Carlos. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche; Argentina  
dc.journal.title
International Journal of Pest Management  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/09670874.2018.1547460  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1080/09670874.2018.1547460