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Abstract
Impacts of cattle production vary among different production systems, but data on their distribution is scarce for most world regions. In this work, we combine datasets on cattle vaccination locations and land cover in a regression framework to define and map major cattle production systems in the Argentinean Dry Chaco. We also explore how cattle occurrence relates to spatial determinants. Results indicate that the region harbors about 5.5 million heads. [ver mas...]
dc.contributor.authorFernandez, Pedro David
dc.contributor.authorKuemmerle, Tobias
dc.contributor.authorBaumann, Matthias
dc.contributor.authorGrau, Héctor Ricardo
dc.contributor.authorNasca, Jose Andres
dc.contributor.authorRadrizzani Bonadeo, Alejandro
dc.contributor.authorGasparri, Néstor Ignacio
dc.date.accessioned2021-11-02T11:14:53Z
dc.date.available2021-11-02T11:14:53Z
dc.date.issued2020-02-11
dc.identifier.issn1747-423X
dc.identifier.issn1747-4248 (online)
dc.identifier.otherhttps://doi.org/10.1080/1747423X.2020.1720843
dc.identifier.urihttp://hdl.handle.net/20.500.12123/10644
dc.identifier.urihttps://www.tandfonline.com/doi/abs/10.1080/1747423X.2020.1720843
dc.description.abstractImpacts of cattle production vary among different production systems, but data on their distribution is scarce for most world regions. In this work, we combine datasets on cattle vaccination locations and land cover in a regression framework to define and map major cattle production systems in the Argentinean Dry Chaco. We also explore how cattle occurrence relates to spatial determinants. Results indicate that the region harbors about 5.5 million heads. Cattle density was mainly described by the share of pasture (69.9%), cropland (28.1%) and aridity (23.8%). We identified 12-major cattle production systems: six cow-calf, three whole-cycle, and three fattening systems. Of these, four systems had high woodland cover (>85%). Data generated is available in a website. Understanding the distribution of cattle production systems is important to assess the environmental impacts of beef production at broad scales. Integrating vaccination data with land-cover information provides a promising avenue to identify livestock systems.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherTaylor and Francises_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceJournal of Land Use Science 15 (1) : 52-68 (2020)es_AR
dc.subjectCattleeng
dc.subjectArgentinaes_AR
dc.subjectGanado Bovinoes_AR
dc.subjectProducción Animales_AR
dc.subjectAnimal Productioneng
dc.subjectSistemas de Producción
dc.subjectProduction Systemseng
dc.subject.otherCattle Ranchingeng
dc.subject.otherLand Systemseng
dc.subject.otherSpatial Determinantseng
dc.subject.otherDeforestation Frontierseng
dc.subject.otherTropical dry Forests and Savannaseng
dc.titleUnderstanding the distribution of cattle production systems in the South American Chacoes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenInstituto de Investigación Animal del Chaco Semiáridoes_AR
dc.description.filFil: Fernandez, Pedro David. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación Animal del Chaco Semiárido; Argentinaes_AR
dc.description.filFil: Fernandez, Pedro David. Universidad Nacional de Tucumán. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecología Regional; Argentinaes_AR
dc.description.filFil: Kuemmerle, Tobias. Humboldt-University Berlin. Geography Department; Alemaniaes_AR
dc.description.filFil: Kuemmerle, Tobias. Humboldt-University Berlin. Integrative Research Institute on Transformations in Human-Environment Systems (IRI THESys); Alemaniaes_AR
dc.description.filFil: Baumann, Matthias. Humboldt-University Berlin. Geography Department; Alemaniaes_AR
dc.description.filFil: Grau, H. Ricardo. Universidad Nacional de Tucumán. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecología Regional; Argentinaes_AR
dc.description.filFil: Nasca, Jose Andres. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación Animal del Chaco Semiárido; Argentinaes_AR
dc.description.filFil: Radrizzani Bonadeo, Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación Animal del Chaco Semiárido; Argentinaes_AR
dc.description.filFil: Fil: Radrizzani Bonadeo, Alejandro. Universidad Nacional de Tucumán. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecología Regional; Argentinaes_AR
dc.description.filFil: Gasparri, N. Ignacio. Universidad Nacional de Tucumán. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecología Regional; Argentinaes_AR
dc.subtypecientifico


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