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dc.contributor.author
Fernández, Pedro D.  
dc.contributor.author
Kuemmerle, Tobias  
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Baumann, Matthias  
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Grau, Hector Ricardo  
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Nasca, José A.  
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Radrizzani, Alejandro  
dc.contributor.author
Gasparri, Nestor Ignacio  
dc.date.available
2021-11-17T20:59:45Z  
dc.date.issued
2020-01  
dc.identifier.citation
Fernández, Pedro D.; Kuemmerle, Tobias; Baumann, Matthias; Grau, Hector Ricardo; Nasca, José A.; et al.; Understanding the distribution of cattle production systems in the South American Chaco; Taylor & Francis Ltd; Journal of Land Use Science; 15; 1; 1-2020; 52-68  
dc.identifier.issn
1747-4248  
dc.identifier.uri
http://hdl.handle.net/11336/147105  
dc.description.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. 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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Taylor & Francis Ltd  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights
Atribución-NoComercial-CompartirIgual 2.5 Argentina (CC BY-NC-SA 2.5 AR)  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
CATTLE RANCHING  
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DEFORESTATION FRONTIERS  
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LAND SYSTEMS  
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LIVESTOCK  
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SPATIAL DETERMINANTS  
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TROPICAL DRY FORESTS AND SAVANNAS  
dc.subject.classification
Ganadería  
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Producción Animal y Lechería  
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CIENCIAS AGRÍCOLAS  
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Ecología  
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Ciencias Biológicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Understanding the distribution of cattle production systems in the South American Chaco  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2021-09-07T14:29:36Z  
dc.journal.volume
15  
dc.journal.number
1  
dc.journal.pagination
52-68  
dc.journal.pais
Reino Unido  
dc.description.fil
Fil: Fernández, Pedro D.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina. Universidad Nacional de Tucumán; Argentina  
dc.description.fil
Fil: Kuemmerle, Tobias. Humboldt-universitat Zu Berlin. Geography Department.; Alemania  
dc.description.fil
Fil: Baumann, Matthias. Humboldt-universitat Zu Berlin. Geography Department.; Alemania  
dc.description.fil
Fil: Grau, Hector Ricardo. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; Argentina  
dc.description.fil
Fil: Nasca, José A.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina  
dc.description.fil
Fil: Radrizzani, Alejandro. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina  
dc.description.fil
Fil: Gasparri, Nestor Ignacio. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; Argentina  
dc.journal.title
Journal of Land Use Science  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/1747423X.2020.1720843  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1080/1747423X.2020.1720843