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Abstract
Bird damage to agricultural crops is an important cause of economic loss for farmers worldwide. Predictive habitat models relating bird abundance and damage to characteristics of the agricultural environment at multiple scales are a key tool for designing management programs to reduce impacts of birds on agricultural production. In this study, we explored habitat features influencing abundance and damage of monk parakeets (Myiopsitta monachus) to corn [ver mas...]
dc.contributor.authorCanavelli, Sonia Beatriz
dc.contributor.authorBranch, Lyn C.
dc.contributor.authorCavallero, Pedro
dc.contributor.authorGonzález, Cristina
dc.contributor.authorZaccagnini, Maria Elena
dc.date.accessioned2018-08-08T18:08:25Z
dc.date.available2018-08-08T18:08:25Z
dc.date.issued2014-12
dc.identifier.issn0167-8809
dc.identifier.otherhttps://doi.org/10.1016/j.agee.2014.07.024
dc.identifier.urihttp://hdl.handle.net/20.500.12123/3023
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0167880914003843?via%3Dihub
dc.description.abstractBird damage to agricultural crops is an important cause of economic loss for farmers worldwide. Predictive habitat models relating bird abundance and damage to characteristics of the agricultural environment at multiple scales are a key tool for designing management programs to reduce impacts of birds on agricultural production. In this study, we explored habitat features influencing abundance and damage of monk parakeets (Myiopsitta monachus) to corn (Zea mays) and sunflower (Helianthus annuus) fields, as a basis for the design and evaluation of management strategies for preventing damage in the future. Using a multi-level approach, we evaluated within-field, field, and landscape variables at three spatial scales potentially related to monk parakeet abundance and damage in crop fields. Monk parakeet abundance and damage was greater in sunflower than in corn fields. Landscape variables, such as distance to nearest site with trees, percentage of landscape with trees, and availability of foraging sites for monk parakeets around the crop fields were more important than local variables in explaining monk parakeet damage to crop fields. However, local variables, such as field area, plant density and percentage of field border with trees, also were related to damage. Relationships varied depending on the crop under consideration and spatial scale of analysis. Based on this study, managers should consider both local and landscape factors when planning management measures to prevent bird damage to crops.es_AR
dc.formatapplication/pdfeng
dc.language.isoeng
dc.publisherElseviereng
dc.rightsinfo:eu-repo/semantics/restrictedAccesseng
dc.sourceAgriculture, ecosystems & environment 197 (1) : 128-136. (December 2014)eng
dc.subjectPájaros Nocivoses_AR
dc.subjectPérdidas de la Cosechaes_AR
dc.subjectPaisajees_AR
dc.subjectMaízes_AR
dc.subjectZea Mayses_AR
dc.subjectHelianthus Annuuses_AR
dc.subjectMaizeeng
dc.subjectLandscapeeng
dc.subjectCrop Losseseng
dc.subjectNoxious Birdseng
dc.subject.otherMyiopsitta Monachuses_AR
dc.subject.otherArgentinaes_AR
dc.subject.otherSunflowereng
dc.titleMulti-level analysis of bird abundance and damage to crop fieldseng
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.description.origenEEA Paranáes_AR
dc.description.filFil: Canavelli, Sonia Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentina. University of Florida. Department of Wildlife Ecology and Conservation; Estados Unidoses_AR
dc.description.filFil: Branch, Lyn C. University of Florida. Department of Wildlife Ecology and Conservation; Estados Unidoses_AR
dc.description.filFil: Cavallero, Pedro. Universidad Nacional del Litoral. Facultad de Humanidades y Ciencias; Argentinaes_AR
dc.description.filFil: González, Cristina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; Argentinaes_AR
dc.description.filFil: Zaccagnini, Maria Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentinaes_AR
dc.subtypecientifico


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