The potential impact of economic policies on future land-use conversions in Argentina
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 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.
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Format: | info:ar-repo/semantics/artículo biblioteca |
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2018
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Subjects: | Política Económica, Utilización de la Tierra, Deforestación, Ordenación Territorial, Modelos de Simulación, Economic Policies, Land Use, Deforestation, Land Use Planning, Simulation Models, Argentina, |
Online Access: | https://www.sciencedirect.com/science/article/pii/S0264837717313145 http://hdl.handle.net/20.500.12123/3457 https://doi.org/10.1016/j.landusepol.2018.07.039 |
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Política Económica Utilización de la Tierra Deforestación Ordenación Territorial Modelos de Simulación Economic Policies Land Use Deforestation Land Use Planning Simulation Models Argentina Política Económica Utilización de la Tierra Deforestación Ordenación Territorial Modelos de Simulación Economic Policies Land Use Deforestation Land Use Planning Simulation Models Argentina |
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Política Económica Utilización de la Tierra Deforestación Ordenación Territorial Modelos de Simulación Economic Policies Land Use Deforestation Land Use Planning Simulation Models Argentina Política Económica Utilización de la Tierra Deforestación Ordenación Territorial Modelos de Simulación Economic Policies Land Use Deforestation Land Use Planning Simulation Models Argentina Piquer Rodriguez, María Baumann, Matthias Butsic, V. Gasparri, Néstor Ignacio Gavier Pizarro, Gregorio Ignacio Volante, Jose Norberto Müller, D. Kuemmerle, Tobias The potential impact of economic policies on future land-use conversions in Argentina |
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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 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. |
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info:ar-repo/semantics/artículo |
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Política Económica Utilización de la Tierra Deforestación Ordenación Territorial Modelos de Simulación Economic Policies Land Use Deforestation Land Use Planning Simulation Models Argentina |
author |
Piquer Rodriguez, María Baumann, Matthias Butsic, V. Gasparri, Néstor Ignacio Gavier Pizarro, Gregorio Ignacio Volante, Jose Norberto Müller, D. Kuemmerle, Tobias |
author_facet |
Piquer Rodriguez, María Baumann, Matthias Butsic, V. Gasparri, Néstor Ignacio Gavier Pizarro, Gregorio Ignacio Volante, Jose Norberto Müller, D. Kuemmerle, Tobias |
author_sort |
Piquer Rodriguez, María |
title |
The potential impact of economic policies on future land-use conversions in Argentina |
title_short |
The potential impact of economic policies on future land-use conversions in Argentina |
title_full |
The potential impact of economic policies on future land-use conversions in Argentina |
title_fullStr |
The potential impact of economic policies on future land-use conversions in Argentina |
title_full_unstemmed |
The potential impact of economic policies on future land-use conversions in Argentina |
title_sort |
potential impact of economic policies on future land-use conversions in argentina |
publishDate |
2018 |
url |
https://www.sciencedirect.com/science/article/pii/S0264837717313145 http://hdl.handle.net/20.500.12123/3457 https://doi.org/10.1016/j.landusepol.2018.07.039 |
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oai:localhost:20.500.12123-34572018-10-17T13:28:26Z The potential impact of economic policies on future land-use conversions in Argentina Piquer Rodriguez, María Baumann, Matthias Butsic, V. Gasparri, Néstor Ignacio Gavier Pizarro, Gregorio Ignacio Volante, Jose Norberto Müller, D. Kuemmerle, Tobias Política Económica Utilización de la Tierra Deforestación Ordenación Territorial Modelos de Simulación Economic Policies Land Use Deforestation Land Use Planning Simulation Models Argentina 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 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. Instituto de Recursos Biológicos Fil: 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; Argentina Fil: Baumann, Matthias. Humboldt-University Berlin. Geography Department; Alemania Fil: Butsic, V. University of California Berkeley. Department of Environmental Science, Policy and Management; Estados Unidos Fil: 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. Fil: Gavier Pizarro, Gregorio Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina Fil: Volante, Jose Norberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Salta; Argentina Fil: 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; Alemania Fil: Kuemmerle, Tobias. Humboldt-University Berlin. Geography Department; Alemania. Humboldt-University Berlin. Integrative Research Institute for Transformations in Human Environment Systems; Alemania 2018-09-24T13:38:29Z 2018-09-24T13:38:29Z 2018 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://www.sciencedirect.com/science/article/pii/S0264837717313145 http://hdl.handle.net/20.500.12123/3457 0264-8377 1873-5754 https://doi.org/10.1016/j.landusepol.2018.07.039 eng info:eu-repo/semantics/restrictedAccess application/pdf Land Use Policy 79 : 57-67 (December 2018) |