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
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
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spelling 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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