Drosophila suzukii (Diptera: Drosophilidae) distribution modelling improves our understanding of pest range limits
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 m...
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| Format: | Artículo |
| Language: | Inglés |
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Taylor & Francis
2020
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| Online Access: | 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 |
| _version_ | 1855484035258646528 |
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| author | De La Vega, Gerardo, José Corley, Juan Carlos |
| author_browse | Corley, Juan Carlos De La Vega, Gerardo, José |
| author_facet | De La Vega, Gerardo, José Corley, Juan Carlos |
| author_sort | De La Vega, Gerardo, José |
| collection | INTA Digital |
| 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. |
| format | Artículo |
| id | INTA7571 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Taylor & Francis |
| publisherStr | Taylor & Francis |
| record_format | dspace |
| spelling | INTA75712020-07-17T16:43:41Z Drosophila suzukii (Diptera: Drosophilidae) distribution modelling improves our understanding of pest range limits De La Vega, Gerardo, José Corley, Juan Carlos Insecta Drosophila Especie Invasiva Invasive Species Drosophila Suzukii Modelos de Distribución Espacial 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 2020-07-17T16:34:16Z 2020-07-17T16:34:16Z 2019 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng info:eu-repo/semantics/restrictedAccess application/pdf Taylor & Francis International Journal of Pest Management 65 (3) : 217-227 (2019) |
| spellingShingle | Insecta Drosophila Especie Invasiva Invasive Species Drosophila Suzukii Modelos de Distribución Espacial De La Vega, Gerardo, José Corley, Juan Carlos 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 |
| 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_short | 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 |
| topic | Insecta Drosophila Especie Invasiva Invasive Species Drosophila Suzukii Modelos de Distribución Espacial |
| 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 |
| work_keys_str_mv | AT delavegagerardojose drosophilasuzukiidipteradrosophilidaedistributionmodellingimprovesourunderstandingofpestrangelimits AT corleyjuancarlos drosophilasuzukiidipteradrosophilidaedistributionmodellingimprovesourunderstandingofpestrangelimits |