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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
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