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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
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dc.contributor.author | De La Vega, Gerardo, José | |
dc.contributor.author | Corley, Juan Carlos | |
dc.date.accessioned | 2020-07-17T16:34:16Z | |
dc.date.available | 2020-07-17T16:34:16Z | |
dc.date.issued | 2019 | |
dc.identifier.issn | 1366-5863 | |
dc.identifier.other | https://doi.org/10.1080/09670874.2018.1547460 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12123/7571 | |
dc.identifier.uri | https://www.tandfonline.com/doi/abs/10.1080/09670874.2018.1547460 | |
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. | eng |
dc.format | application/pdf | es_AR |
dc.language.iso | eng | es_AR |
dc.publisher | Taylor & Francis | es_AR |
dc.rights | info:eu-repo/semantics/restrictedAccess | es_AR |
dc.source | International Journal of Pest Management 65 (3) : 217-227 (2019) | es_AR |
dc.subject | Insecta | es_AR |
dc.subject | Drosophila | es_AR |
dc.subject | Especie Invasiva | es_AR |
dc.subject | Invasive Species | eng |
dc.subject.other | Drosophila Suzukii | es_AR |
dc.subject.other | Modelos de Distribución Espacial | es_AR |
dc.title | Drosophila suzukii (Diptera: Drosophilidae) distribution modelling improves our understanding of pest range limits | es_AR |
dc.type | info:ar-repo/semantics/artículo | es_AR |
dc.type | info:eu-repo/semantics/article | es_AR |
dc.type | info:eu-repo/semantics/publishedVersion | es_AR |
dc.description.origen | Estación Experimental Agropecuaria Bariloche. Área de Recursos Forestales. Grupo de Ecología de Pobalciones de Insectos | es_AR |
dc.description.fil | 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 | es_AR |
dc.description.fil | 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 | es_AR |
dc.subtype | cientifico |
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