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Context: Changes in environmental conditions may influence bird populations, including pest bird species, and their distribution. In Argentina, particularly in the Pampas region, agricultural expansion has resulted in important changes in agroecosystems, with impacts on bird species. Aims: This study analysed the relationship between pest bird densities and the environmental variables associated with land use and/or cover, vegetation productivity and [ver mas...]
dc.contributor.authorCalamari, Noelia Cecilia
dc.contributor.authorCanavelli, Sonia Beatriz
dc.contributor.authorCerezo, Alexis
dc.contributor.authorDardanelli, Sebastian
dc.contributor.authorBernardos, Jaime Nicolás
dc.contributor.authorZaccagnini, Maria Elena
dc.date.accessioned2018-12-21T12:02:13Z
dc.date.available2018-12-21T12:02:13Z
dc.date.issued2018-12-05
dc.identifier.issn1035-3712
dc.identifier.issn1448-5494
dc.identifier.otherhttps://doi.org/10.1071/WR17167
dc.identifier.urihttp://www.publish.csiro.au/wr/WR17167
dc.identifier.urihttp://hdl.handle.net/20.500.12123/4131
dc.description.abstractContext: Changes in environmental conditions may influence bird populations, including pest bird species, and their distribution. In Argentina, particularly in the Pampas region, agricultural expansion has resulted in important changes in agroecosystems, with impacts on bird species. Aims: This study analysed the relationship between pest bird densities and the environmental variables associated with land use and/or cover, vegetation productivity and climate. The study focused on the most important pest bird species to grain crops in Argentina and Uruguay: the eared dove (Zenaida auriculata) and the monk parakeet (Myiopsitta monachus). Methods: An area in Central Argentina was divided into three agro-productive regions, one predominantly agricultural and two with mixed production activities: agricultural rangeland and agricultural forested rangeland. Bird populations were sampled on a yearly basis between 2003 and 2011 in point-transects located along secondary roads (47 routes in total). Linear mixed models and a multi-model inference approach were used to compare the effects of individual predictive variables on bird densities. Key results: Mean estimated density for the eared dove was 0.39 individuals per ha (±0.02), almost three times the density of the monk parakeet (0.10 individuals per ha ± 0.02). The spatial distribution of changes in density of the eared dove and monk parakeet showed irregular patterns across the study area. Density of eared dove was directly related to cover of native and exotic woodlots and inversely related to cover of fallow and weedy fields, and to temperature and rainfall. Monk parakeet density, in turn, was directly related to cover of woodlots. Conclusions: The density of eared doves and monk parakeets changed mostly in relation to land use and/or cover and, to a lesser extent, to climatic conditions. Information of pest bird populations in a long-term period allowed us to understand spatial patterns in bird population distribution and to identify the main environmental factors explaining them. Implications: The consideration of land use and/or cover, vegetation productivity and climate variables at regional scale, measured during a long-term period, would be critical for anticipating population increases and, possibly, increases in crop damage.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherCSIROes_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceWildlife Research 45 (8) : 668-678 (December 2018)es_AR
dc.subjectPájaroses_AR
dc.subjectBirdseng
dc.subjectControl de Plagases_AR
dc.subjectPest Controleng
dc.subjectAgroecosistemases_AR
dc.subjectAgroecosystemseng
dc.subjectClimaes_AR
dc.subjectClimateeng
dc.subjectPájaros Nocivoses_AR
dc.subjectNoxious Birdseng
dc.subjectUtilización de la Tierraes_AR
dc.subjectLand Useeng
dc.subject.otherAveses_AR
dc.subject.otherArgentina
dc.titleVariations in pest bird density in Argentinean agroecosystems in relation to land use and/or cover, vegetation productivity and climatees_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenEEA Paranáes_AR
dc.description.filFil: Calamari, Noelia Cecilia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentinaes_AR
dc.description.filFil: Canavelli, Sonia Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentinaes_AR
dc.description.filFil: Cerezo, Alexis. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos; Argentinaes_AR
dc.description.filFil: Dardanelli, Sebastian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentinaes_AR
dc.description.filFil: Bernardos, Jaime Nicolás. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; 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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