The potential impact of economic policies on future land-use conversions in Argentina

Autores
Piquer Rodriguez, María; Baumann, Matthias; Butsic, V.; Gasparri, Néstor Ignacio; Gavier Pizarro, Gregorio Ignacio; Volante, Jose Norberto; Müller, D.; Kuemmerle, Tobias
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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
Fuente
Land Use Policy 79 : 57-67 (December 2018)
Materia
Política Económica
Utilización de la Tierra
Deforestación
Ordenación Territorial
Modelos de Simulación
Economic Policies
Land Use
Deforestation
Land Use Planning
Simulation Models
Argentina
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
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spelling The potential impact of economic policies on future land-use conversions in ArgentinaPiquer Rodriguez, MaríaBaumann, MatthiasButsic, V.Gasparri, Néstor IgnacioGavier Pizarro, Gregorio IgnacioVolante, Jose NorbertoMüller, D.Kuemmerle, TobiasPolítica EconómicaUtilización de la TierraDeforestaciónOrdenación TerritorialModelos de SimulaciónEconomic PoliciesLand UseDeforestationLand Use PlanningSimulation ModelsArgentinaAgricultural 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 BiológicosFil: 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; ArgentinaFil: Baumann, Matthias. Humboldt-University Berlin. Geography Department; AlemaniaFil: Butsic, V. University of California Berkeley. Department of Environmental Science, Policy and Management; Estados UnidosFil: 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; ArgentinaFil: Volante, Jose Norberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Salta; ArgentinaFil: 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; AlemaniaFil: Kuemmerle, Tobias. Humboldt-University Berlin. Geography Department; Alemania. Humboldt-University Berlin. Integrative Research Institute for Transformations in Human Environment Systems; Alemania2018-09-24T13:38:29Z2018-09-24T13:38:29Z2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://www.sciencedirect.com/science/article/pii/S0264837717313145http://hdl.handle.net/20.500.12123/34570264-83771873-5754https://doi.org/10.1016/j.landusepol.2018.07.039Land Use Policy 79 : 57-67 (December 2018)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-11-27T08:37:56Zoai:localhost:20.500.12123/3457instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-11-27 08:37:57.228INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv The potential impact of economic policies on future land-use conversions in Argentina
title The potential impact of economic policies on future land-use conversions in Argentina
spellingShingle The potential impact of economic policies on future land-use conversions in Argentina
Piquer Rodriguez, María
Política Económica
Utilización de la Tierra
Deforestación
Ordenación Territorial
Modelos de Simulación
Economic Policies
Land Use
Deforestation
Land Use Planning
Simulation Models
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 The potential impact of economic policies on future land-use conversions in Argentina
dc.creator.none.fl_str_mv Piquer Rodriguez, María
Baumann, Matthias
Butsic, V.
Gasparri, Néstor Ignacio
Gavier Pizarro, Gregorio Ignacio
Volante, Jose Norberto
Müller, D.
Kuemmerle, Tobias
author Piquer Rodriguez, María
author_facet Piquer Rodriguez, María
Baumann, Matthias
Butsic, V.
Gasparri, Néstor Ignacio
Gavier Pizarro, Gregorio Ignacio
Volante, Jose Norberto
Müller, D.
Kuemmerle, Tobias
author_role author
author2 Baumann, Matthias
Butsic, V.
Gasparri, Néstor Ignacio
Gavier Pizarro, Gregorio Ignacio
Volante, Jose Norberto
Müller, D.
Kuemmerle, Tobias
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Política Económica
Utilización de la Tierra
Deforestación
Ordenación Territorial
Modelos de Simulación
Economic Policies
Land Use
Deforestation
Land Use Planning
Simulation Models
Argentina
topic Política Económica
Utilización de la Tierra
Deforestación
Ordenación Territorial
Modelos de Simulación
Economic Policies
Land Use
Deforestation
Land Use Planning
Simulation Models
Argentina
dc.description.none.fl_txt_mv 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
description 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.
publishDate 2018
dc.date.none.fl_str_mv 2018-09-24T13:38:29Z
2018-09-24T13:38:29Z
2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv 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
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
identifier_str_mv 0264-8377
1873-5754
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Land Use Policy 79 : 57-67 (December 2018)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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