Roads and land tenure mediate the effects of precipitation on forest cover change in the Argentine Dry Chaco
- Autores
- Aguiar, Sebastián; Mastrangelo, Matías Enrique; Texeira González, Marcos Alexis; Meyfroidt, Patrick; Volante, Jose Norberto; Paruelo, José María
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Dry forests are among the most threatened ecosystems globally, due to agricultural expansion driven by the increasing demand for food, fibers, and energy in developed and emerging countries. Among these, the forests of the South American Gran Chaco are one of the global deforestation hotspots. The Argentine Dry Chaco has been the focus of several studies that assess the factors that drive forest conversion. However, these studies do not describe the causal relationships among these drivers and seldom use existing theory to select drivers. Here we employ a theory-driven approach to test the relative merits of alternative and complementary hypotheses to explain the drivers and mechanisms explaining the unequal spatial distribution of forest loss and maintenance in the Argentine Dry Chaco from 2000 to 2010. Using structural equation modeling, we quantified the direct and indirect effects of multiple drivers and compared the explanatory power and parsimony of these alternative hypotheses, i.e. the biophysical, infrastructure, socio-demographic, institutional, and the integration of them. For both forest loss and maintenance, the model containing infrastructural drivers had the best balance between parsimony and explanatory power. Integrated models, comprising a combination of drivers, had the highest explanatory power (R2 = 0.81 for forest maintenance, and R2 = 0.58 for forest loss). We show that biophysical constraints operate directly and indirectly: soil suitability had direct effects on forest cover maintenance, while precipitation affected it both directly and indirectly through influencing the institutional (land tenure) and infrastructure (road density). Indigenous communities positively affected forest maintenance both directly and indirectly mediated by non-private land tenure. Our results suggest that disentangling the structure of the relationships among drivers could increase our capacity for understanding and steering land-use change. Furthermore, policies for halting deforestation might increase their effectiveness by accounting for the mechanisms that underlie forest loss and maintenance.
EEA Salta
Fil: Aguiar, Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Aguiar, Sebastián. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Aguiar, Sebastián. Universidad de Buenos Aires. Facultad de Agronomía. Cátedra de Dasonomía; Argentina.
Fil: Mastrangelo, Matias Enrique. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias. Grupo de Estudio de Agroecosistemas y Paisajes Rurales; Argentina.
Fil: Texeira González, Marcos Alexis. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura.
Fil: Texeira González, Marcos Alexis. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina.
Fil: Texeira González, Marcos Alexis. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina
Fil: Meyfroidt, Patrick. Fonds de la Recherche Scientifique; Bélgica
Fil: Meyfroidt, Patrick. Université Catholique de Louvain. Earth and Life Institute. Georges Lemaître Centre for Earth and Climate Research; Bélgica
Fil: Volante, Jose Norberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Salta; Argentina
Fil: Paruelo, José María. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Paruelo, José María. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina.
Fil: Paruelo, José María. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina.
Fil: Paruelo, José María. Instituto Nacional de Investigaciones Agropecuarias. INIA La Estanzuela; Uruguay - Fuente
- Land Use Policy 112 : 105806 (January 2022)
- Materia
-
Bosques
Deforestación
Cambio de Uso de la Tierra
Alteración de la Cubierta Vegetal
Precipitación Atmosférica
Argentina
Tenencia de la Tierra
Forests
Deforestation
Land Use Change
Land Cover Change
Precipitation
Land Tenure
Región Chaco Semiárido - Nivel de accesibilidad
- acceso restringido
- Condiciones de uso
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/10854
Ver los metadatos del registro completo
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Roads and land tenure mediate the effects of precipitation on forest cover change in the Argentine Dry ChacoAguiar, SebastiánMastrangelo, Matías EnriqueTexeira González, Marcos AlexisMeyfroidt, PatrickVolante, Jose NorbertoParuelo, José MaríaBosquesDeforestaciónCambio de Uso de la TierraAlteración de la Cubierta VegetalPrecipitación AtmosféricaArgentinaTenencia de la TierraForestsDeforestationLand Use ChangeLand Cover ChangePrecipitationLand TenureRegión Chaco SemiáridoDry forests are among the most threatened ecosystems globally, due to agricultural expansion driven by the increasing demand for food, fibers, and energy in developed and emerging countries. Among these, the forests of the South American Gran Chaco are one of the global deforestation hotspots. The Argentine Dry Chaco has been the focus of several studies that assess the factors that drive forest conversion. However, these studies do not describe the causal relationships among these drivers and seldom use existing theory to select drivers. Here we employ a theory-driven approach to test the relative merits of alternative and complementary hypotheses to explain the drivers and mechanisms explaining the unequal spatial distribution of forest loss and maintenance in the Argentine Dry Chaco from 2000 to 2010. Using structural equation modeling, we quantified the direct and indirect effects of multiple drivers and compared the explanatory power and parsimony of these alternative hypotheses, i.e. the biophysical, infrastructure, socio-demographic, institutional, and the integration of them. For both forest loss and maintenance, the model containing infrastructural drivers had the best balance between parsimony and explanatory power. Integrated models, comprising a combination of drivers, had the highest explanatory power (R2 = 0.81 for forest maintenance, and R2 = 0.58 for forest loss). We show that biophysical constraints operate directly and indirectly: soil suitability had direct effects on forest cover maintenance, while precipitation affected it both directly and indirectly through influencing the institutional (land tenure) and infrastructure (road density). Indigenous communities positively affected forest maintenance both directly and indirectly mediated by non-private land tenure. Our results suggest that disentangling the structure of the relationships among drivers could increase our capacity for understanding and steering land-use change. Furthermore, policies for halting deforestation might increase their effectiveness by accounting for the mechanisms that underlie forest loss and maintenance.EEA SaltaFil: Aguiar, Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; ArgentinaFil: Aguiar, Sebastián. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; ArgentinaFil: Aguiar, Sebastián. Universidad de Buenos Aires. Facultad de Agronomía. Cátedra de Dasonomía; Argentina.Fil: Mastrangelo, Matias Enrique. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias. Grupo de Estudio de Agroecosistemas y Paisajes Rurales; Argentina.Fil: Texeira González, Marcos Alexis. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura.Fil: Texeira González, Marcos Alexis. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina.Fil: Texeira González, Marcos Alexis. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; ArgentinaFil: Meyfroidt, Patrick. Fonds de la Recherche Scientifique; BélgicaFil: Meyfroidt, Patrick. Université Catholique de Louvain. Earth and Life Institute. Georges Lemaître Centre for Earth and Climate Research; BélgicaFil: Volante, Jose Norberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Salta; ArgentinaFil: Paruelo, José María. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; ArgentinaFil: Paruelo, José María. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina.Fil: Paruelo, José María. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina.Fil: Paruelo, José María. Instituto Nacional de Investigaciones Agropecuarias. INIA La Estanzuela; UruguayElsevier2021-12-06T13:14:39Z2021-12-06T13:14:39Z2022-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/10854https://www.sciencedirect.com/science/article/pii/S02648377210052990264-8377https://doi.org/10.1016/j.landusepol.2021.105806Land Use Policy 112 : 105806 (January 2022)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología AgropecuariaengArgentina .......... (nation) (World, South America)7006477info:eu-repo/semantics/restrictedAccess2025-09-29T13:45:25Zoai:localhost:20.500.12123/10854instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:45:25.99INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
Roads and land tenure mediate the effects of precipitation on forest cover change in the Argentine Dry Chaco |
title |
Roads and land tenure mediate the effects of precipitation on forest cover change in the Argentine Dry Chaco |
spellingShingle |
Roads and land tenure mediate the effects of precipitation on forest cover change in the Argentine Dry Chaco Aguiar, Sebastián Bosques Deforestación Cambio de Uso de la Tierra Alteración de la Cubierta Vegetal Precipitación Atmosférica Argentina Tenencia de la Tierra Forests Deforestation Land Use Change Land Cover Change Precipitation Land Tenure Región Chaco Semiárido |
title_short |
Roads and land tenure mediate the effects of precipitation on forest cover change in the Argentine Dry Chaco |
title_full |
Roads and land tenure mediate the effects of precipitation on forest cover change in the Argentine Dry Chaco |
title_fullStr |
Roads and land tenure mediate the effects of precipitation on forest cover change in the Argentine Dry Chaco |
title_full_unstemmed |
Roads and land tenure mediate the effects of precipitation on forest cover change in the Argentine Dry Chaco |
title_sort |
Roads and land tenure mediate the effects of precipitation on forest cover change in the Argentine Dry Chaco |
dc.creator.none.fl_str_mv |
Aguiar, Sebastián Mastrangelo, Matías Enrique Texeira González, Marcos Alexis Meyfroidt, Patrick Volante, Jose Norberto Paruelo, José María |
author |
Aguiar, Sebastián |
author_facet |
Aguiar, Sebastián Mastrangelo, Matías Enrique Texeira González, Marcos Alexis Meyfroidt, Patrick Volante, Jose Norberto Paruelo, José María |
author_role |
author |
author2 |
Mastrangelo, Matías Enrique Texeira González, Marcos Alexis Meyfroidt, Patrick Volante, Jose Norberto Paruelo, José María |
author2_role |
author author author author author |
dc.subject.none.fl_str_mv |
Bosques Deforestación Cambio de Uso de la Tierra Alteración de la Cubierta Vegetal Precipitación Atmosférica Argentina Tenencia de la Tierra Forests Deforestation Land Use Change Land Cover Change Precipitation Land Tenure Región Chaco Semiárido |
topic |
Bosques Deforestación Cambio de Uso de la Tierra Alteración de la Cubierta Vegetal Precipitación Atmosférica Argentina Tenencia de la Tierra Forests Deforestation Land Use Change Land Cover Change Precipitation Land Tenure Región Chaco Semiárido |
dc.description.none.fl_txt_mv |
Dry forests are among the most threatened ecosystems globally, due to agricultural expansion driven by the increasing demand for food, fibers, and energy in developed and emerging countries. Among these, the forests of the South American Gran Chaco are one of the global deforestation hotspots. The Argentine Dry Chaco has been the focus of several studies that assess the factors that drive forest conversion. However, these studies do not describe the causal relationships among these drivers and seldom use existing theory to select drivers. Here we employ a theory-driven approach to test the relative merits of alternative and complementary hypotheses to explain the drivers and mechanisms explaining the unequal spatial distribution of forest loss and maintenance in the Argentine Dry Chaco from 2000 to 2010. Using structural equation modeling, we quantified the direct and indirect effects of multiple drivers and compared the explanatory power and parsimony of these alternative hypotheses, i.e. the biophysical, infrastructure, socio-demographic, institutional, and the integration of them. For both forest loss and maintenance, the model containing infrastructural drivers had the best balance between parsimony and explanatory power. Integrated models, comprising a combination of drivers, had the highest explanatory power (R2 = 0.81 for forest maintenance, and R2 = 0.58 for forest loss). We show that biophysical constraints operate directly and indirectly: soil suitability had direct effects on forest cover maintenance, while precipitation affected it both directly and indirectly through influencing the institutional (land tenure) and infrastructure (road density). Indigenous communities positively affected forest maintenance both directly and indirectly mediated by non-private land tenure. Our results suggest that disentangling the structure of the relationships among drivers could increase our capacity for understanding and steering land-use change. Furthermore, policies for halting deforestation might increase their effectiveness by accounting for the mechanisms that underlie forest loss and maintenance. EEA Salta Fil: Aguiar, Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina Fil: Aguiar, Sebastián. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina Fil: Aguiar, Sebastián. Universidad de Buenos Aires. Facultad de Agronomía. Cátedra de Dasonomía; Argentina. Fil: Mastrangelo, Matias Enrique. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias. Grupo de Estudio de Agroecosistemas y Paisajes Rurales; Argentina. Fil: Texeira González, Marcos Alexis. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Fil: Texeira González, Marcos Alexis. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Fil: Texeira González, Marcos Alexis. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina Fil: Meyfroidt, Patrick. Fonds de la Recherche Scientifique; Bélgica Fil: Meyfroidt, Patrick. Université Catholique de Louvain. Earth and Life Institute. Georges Lemaître Centre for Earth and Climate Research; Bélgica Fil: Volante, Jose Norberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Salta; Argentina Fil: Paruelo, José María. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina Fil: Paruelo, José María. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Fil: Paruelo, José María. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina. Fil: Paruelo, José María. Instituto Nacional de Investigaciones Agropecuarias. INIA La Estanzuela; Uruguay |
description |
Dry forests are among the most threatened ecosystems globally, due to agricultural expansion driven by the increasing demand for food, fibers, and energy in developed and emerging countries. Among these, the forests of the South American Gran Chaco are one of the global deforestation hotspots. The Argentine Dry Chaco has been the focus of several studies that assess the factors that drive forest conversion. However, these studies do not describe the causal relationships among these drivers and seldom use existing theory to select drivers. Here we employ a theory-driven approach to test the relative merits of alternative and complementary hypotheses to explain the drivers and mechanisms explaining the unequal spatial distribution of forest loss and maintenance in the Argentine Dry Chaco from 2000 to 2010. Using structural equation modeling, we quantified the direct and indirect effects of multiple drivers and compared the explanatory power and parsimony of these alternative hypotheses, i.e. the biophysical, infrastructure, socio-demographic, institutional, and the integration of them. For both forest loss and maintenance, the model containing infrastructural drivers had the best balance between parsimony and explanatory power. Integrated models, comprising a combination of drivers, had the highest explanatory power (R2 = 0.81 for forest maintenance, and R2 = 0.58 for forest loss). We show that biophysical constraints operate directly and indirectly: soil suitability had direct effects on forest cover maintenance, while precipitation affected it both directly and indirectly through influencing the institutional (land tenure) and infrastructure (road density). Indigenous communities positively affected forest maintenance both directly and indirectly mediated by non-private land tenure. Our results suggest that disentangling the structure of the relationships among drivers could increase our capacity for understanding and steering land-use change. Furthermore, policies for halting deforestation might increase their effectiveness by accounting for the mechanisms that underlie forest loss and maintenance. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12-06T13:14:39Z 2021-12-06T13:14:39Z 2022-01 |
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 |
http://hdl.handle.net/20.500.12123/10854 https://www.sciencedirect.com/science/article/pii/S0264837721005299 0264-8377 https://doi.org/10.1016/j.landusepol.2021.105806 |
url |
http://hdl.handle.net/20.500.12123/10854 https://www.sciencedirect.com/science/article/pii/S0264837721005299 https://doi.org/10.1016/j.landusepol.2021.105806 |
identifier_str_mv |
0264-8377 |
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.coverage.none.fl_str_mv |
Argentina .......... (nation) (World, South America) 7006477 |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
Land Use Policy 112 : 105806 (January 2022) 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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1844619160149032960 |
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12.559606 |