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Resumen
Agricultural expansion and intensification drive the conversion of natural areas worldwide. Scenarios are powerful tools to explore possible future changes in agricultural land use, how these may affect the environment, and how policies may influence land-use patterns. Focusing on Argentina’s prime agricultural areas, the Pampas, Espinal and Chaco, we developed spatially-explicit future land-use scenarios from 2010 to 2030, considering both agricultural [ver mas...]
dc.contributor.authorPiquer Rodriguez, María
dc.contributor.authorBaumann, Matthias
dc.contributor.authorButsic, V.
dc.contributor.authorGasparri, Néstor Ignacio
dc.contributor.authorGavier Pizarro, Gregorio Ignacio
dc.contributor.authorVolante, Jose Norberto
dc.contributor.authorMüller, D.
dc.contributor.authorKuemmerle, Tobias
dc.date.accessioned2018-09-24T13:38:29Z
dc.date.available2018-09-24T13:38:29Z
dc.date.issued2018
dc.identifier.issn0264-8377
dc.identifier.issn1873-5754
dc.identifier.otherhttps://doi.org/10.1016/j.landusepol.2018.07.039
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0264837717313145
dc.identifier.urihttp://hdl.handle.net/20.500.12123/3457
dc.description.abstractAgricultural expansion and intensification drive the conversion of natural areas worldwide. Scenarios are powerful tools to explore possible future changes in agricultural land use, how these may affect the environment, and how policies may influence land-use patterns. Focusing on Argentina’s prime agricultural areas, the Pampas, Espinal and Chaco, we developed spatially-explicit future land-use scenarios from 2010 to 2030, considering both agricultural expansion (i.e., conversions from woodland to either grazing land or cropland) and agricultural intensification (i.e., conversions from grazing land to cropland). Our simulations were based on an econometric model of net returns, which assumes economically rational land-use actors. Using this model, we assessed the rates and spatial patterns of future land-use change under current land zoning in our study region, and contrasted this with a forecast of future land use based on land-conversion rates from 2000–2010. We systematically tested the impact of economic policies (e.g., taxes or subsidies), infrastructure improvement (e.g., road paving), and technological innovation (i.e., yield increases) on the spatial patterns of land-use conversions. Our model suggests future land-use change will mainly happen along intensification pathways, with deforestation slowing down, if land-use actors would be profit-maximizing. This general pattern did not change even for policy interventions that impacted profits from agriculture in major ways, cautioning against overestimating the leverage that economic policies provide for halting deforestation. Improving the region’s road network would create a strong incentive to expand cropland further into remaining woodlands and over grazing lands. However, low agricultural profits and higher yields could curb deforestation in marginal areas to some extent. We also highlight that priority areas for conservation are particularly likely to experience high land-use pressure in the future. Given the lower-than-expected power of economic policies to alter deforestation patterns in our models, zoning, if properly enforced, appears to be a more straightforward tool for avoiding unwanted environmental impacts in the Chaco.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceLand Use Policy 79 : 57-67 (December 2018)es_AR
dc.subjectPolítica Económicaes_AR
dc.subjectEconomic Policieseng
dc.subjectUtilización de la Tierraes_AR
dc.subjectLand Useeng
dc.subjectDeforestaciónes_AR
dc.subjectDeforestationeng
dc.subjectOrdenación Territoriales_AR
dc.subjectLand Use Planningeng
dc.subjectModelos de Simulaciónes_AR
dc.subjectSimulation Modelseng
dc.subject.otherArgentinaes_AR
dc.titleThe potential impact of economic policies on future land-use conversions in Argentinaes_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 Recursos Biológicoses_AR
dc.description.filFil: Piquer Rodriguez, María. Humboldt-University Berlin. Geography Department; Alemania. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto de Ecología Regional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tucumán; Argentinaes_AR
dc.description.filFil: Baumann, Matthias. Humboldt-University Berlin. Geography Department; Alemaniaes_AR
dc.description.filFil: Butsic, V. University of California Berkeley. Department of Environmental Science, Policy and Management; Estados Unidoses_AR
dc.description.filFil: Gasparri, Nestor Ignacio. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto de Ecología Regional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tucumán; Argentina.es_AR
dc.description.filFil: Gavier Pizarro, Gregorio Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentinaes_AR
dc.description.filFil: Volante, Jose Norberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Salta; Argentinaes_AR
dc.description.filFil: Müller, D. Humboldt-University Berlin. Geography Department; Alemania. Leibniz Institute of Agricultural Development in Transition Economies (IAMO); Alemania. Humboldt-University Berlin. Integrative Research Institute for Transformations in Human Environment Systems; Alemaniaes_AR
dc.description.filFil: Kuemmerle, Tobias. Humboldt-University Berlin. Geography Department; Alemania. Humboldt-University Berlin. Integrative Research Institute for Transformations in Human Environment Systems; Alemaniaes_AR
dc.subtypecientifico


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