Frontier metrics for a process-based understanding of deforestation dynamics

Autores
Baumann, Matthias; Gasparri, Nestor Ignacio; Buchadas, Ana; Oeser, Julian; Meyfroidt, Patrick; Levers, Christian; Romero Muñoz, Alfredo; le Polain de Waroux, Yann; Müller, Daniela María; Kuemmerle, Tobias
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Agricultural expansion into tropical and subtropical forests often leads to major social-ecological trade-offs. Yet, despite ever-more detailed information on where deforestation occurs, how agriculture expands into forests remains unclear, which is hampered by a lack of spatially and temporally detailed reconstruction of agricultural expansion. Here, we developed and mapped a novel set of metrics that quantify agricultural frontier processes at unprecedented spatial and temporal detail. Specifically, we first derived consistent annual time series of land-use/cover to, second, describe archetypical patterns of frontier expansion, pertaining to the speed, the diffusion and activity of deforestation, as well as post-deforestation land use. We exemplify this approach for understanding agricultural frontier expansion across the entire South American Chaco (1.1 million km2), a global deforestation hotspot. Our study provides three major insights. First, agricultural expansion has been rampant in the Chaco, with more than 19.3 million ha of woodlands converted between 1985 and 2020, including a surge in deforestation after 2019. Second, land-use trajectories connected to frontier processes have changed in major ways over the 35 year study period we studied, including substantial regional variations. For instance, while ranching expansion drove most of the deforestation in the 1980s and 1990s, cropland expansion dominated during the mid-2000s in Argentina, but not in Paraguay. Similarly, 40% of all areas deforested were initially used for ranching, but later on converted to cropping. Accounting for post-deforestation land-use change is thus needed to properly attribute deforestation and associated environmental impacts, such as carbon emissions or biodiversity loss, to commodities. Finally, we identified major, recurrent frontier types that may be a useful spatial template for land governance to match policies to specific frontier situations. Collectively, our study reveals the diversity of frontier processes and how frontier metrics can capture and structure this diversity to uncover major patterns of human-nature interactions, which can be used to guide spatially-targeted policies.
Fil: Baumann, Matthias. Humboldt-Universität zu Berlin; Alemania
Fil: Gasparri, Nestor Ignacio. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; Argentina
Fil: Buchadas, Ana. Humboldt-Universität zu Berlin; Alemania
Fil: Oeser, Julian. Humboldt-Universität zu Berlin; Alemania
Fil: Meyfroidt, Patrick. Fonds de la Recherche Scientifique; Francia. Université Catholique de Louvain; Bélgica
Fil: Levers, Christian. Vrije Universiteit Amsterdam; Países Bajos
Fil: Romero Muñoz, Alfredo. Humboldt-Universität zu Berlin; Alemania
Fil: le Polain de Waroux, Yann. McGill University; Canadá
Fil: Müller, Daniela María. Leibniz Institute of Agricultural Development in Transition Economies; Alemania. Humboldt-Universität zu Berlin; Alemania
Fil: Kuemmerle, Tobias. Humboldt-Universität zu Berlin; Alemania
Materia
AGRICULTURAL EXPANSION
COMMODITY FRONTIERS
DEFORESTATION
LANDSAT TIME SERIES
SOCIAL-ECOLOGICAL ARCHETYPES
TROPICAL DRY FORESTS AND SAVANNAHS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/214553

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network_name_str CONICET Digital (CONICET)
spelling Frontier metrics for a process-based understanding of deforestation dynamicsBaumann, MatthiasGasparri, Nestor IgnacioBuchadas, AnaOeser, JulianMeyfroidt, PatrickLevers, ChristianRomero Muñoz, Alfredole Polain de Waroux, YannMüller, Daniela MaríaKuemmerle, TobiasAGRICULTURAL EXPANSIONCOMMODITY FRONTIERSDEFORESTATIONLANDSAT TIME SERIESSOCIAL-ECOLOGICAL ARCHETYPESTROPICAL DRY FORESTS AND SAVANNAHShttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1https://purl.org/becyt/ford/5.7https://purl.org/becyt/ford/5https://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Agricultural expansion into tropical and subtropical forests often leads to major social-ecological trade-offs. Yet, despite ever-more detailed information on where deforestation occurs, how agriculture expands into forests remains unclear, which is hampered by a lack of spatially and temporally detailed reconstruction of agricultural expansion. Here, we developed and mapped a novel set of metrics that quantify agricultural frontier processes at unprecedented spatial and temporal detail. Specifically, we first derived consistent annual time series of land-use/cover to, second, describe archetypical patterns of frontier expansion, pertaining to the speed, the diffusion and activity of deforestation, as well as post-deforestation land use. We exemplify this approach for understanding agricultural frontier expansion across the entire South American Chaco (1.1 million km2), a global deforestation hotspot. Our study provides three major insights. First, agricultural expansion has been rampant in the Chaco, with more than 19.3 million ha of woodlands converted between 1985 and 2020, including a surge in deforestation after 2019. Second, land-use trajectories connected to frontier processes have changed in major ways over the 35 year study period we studied, including substantial regional variations. For instance, while ranching expansion drove most of the deforestation in the 1980s and 1990s, cropland expansion dominated during the mid-2000s in Argentina, but not in Paraguay. Similarly, 40% of all areas deforested were initially used for ranching, but later on converted to cropping. Accounting for post-deforestation land-use change is thus needed to properly attribute deforestation and associated environmental impacts, such as carbon emissions or biodiversity loss, to commodities. Finally, we identified major, recurrent frontier types that may be a useful spatial template for land governance to match policies to specific frontier situations. Collectively, our study reveals the diversity of frontier processes and how frontier metrics can capture and structure this diversity to uncover major patterns of human-nature interactions, which can be used to guide spatially-targeted policies.Fil: Baumann, Matthias. Humboldt-Universität zu Berlin; AlemaniaFil: Gasparri, Nestor Ignacio. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; ArgentinaFil: Buchadas, Ana. Humboldt-Universität zu Berlin; AlemaniaFil: Oeser, Julian. Humboldt-Universität zu Berlin; AlemaniaFil: Meyfroidt, Patrick. Fonds de la Recherche Scientifique; Francia. Université Catholique de Louvain; BélgicaFil: Levers, Christian. Vrije Universiteit Amsterdam; Países BajosFil: Romero Muñoz, Alfredo. Humboldt-Universität zu Berlin; AlemaniaFil: le Polain de Waroux, Yann. McGill University; CanadáFil: Müller, Daniela María. Leibniz Institute of Agricultural Development in Transition Economies; Alemania. Humboldt-Universität zu Berlin; AlemaniaFil: Kuemmerle, Tobias. Humboldt-Universität zu Berlin; AlemaniaIOP Publishing2022-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/214553Baumann, Matthias; Gasparri, Nestor Ignacio; Buchadas, Ana; Oeser, Julian; Meyfroidt, Patrick; et al.; Frontier metrics for a process-based understanding of deforestation dynamics; IOP Publishing; Environmental Research Letters; 17; 9; 9-2022; 1-171748-93181748-9326CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1088/1748-9326/ac8b9ainfo:eu-repo/semantics/altIdentifier/url/https://iopscience.iop.org/article/10.1088/1748-9326/ac8b9ainfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:24:57Zoai:ri.conicet.gov.ar:11336/214553instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:24:57.304CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Frontier metrics for a process-based understanding of deforestation dynamics
title Frontier metrics for a process-based understanding of deforestation dynamics
spellingShingle Frontier metrics for a process-based understanding of deforestation dynamics
Baumann, Matthias
AGRICULTURAL EXPANSION
COMMODITY FRONTIERS
DEFORESTATION
LANDSAT TIME SERIES
SOCIAL-ECOLOGICAL ARCHETYPES
TROPICAL DRY FORESTS AND SAVANNAHS
title_short Frontier metrics for a process-based understanding of deforestation dynamics
title_full Frontier metrics for a process-based understanding of deforestation dynamics
title_fullStr Frontier metrics for a process-based understanding of deforestation dynamics
title_full_unstemmed Frontier metrics for a process-based understanding of deforestation dynamics
title_sort Frontier metrics for a process-based understanding of deforestation dynamics
dc.creator.none.fl_str_mv Baumann, Matthias
Gasparri, Nestor Ignacio
Buchadas, Ana
Oeser, Julian
Meyfroidt, Patrick
Levers, Christian
Romero Muñoz, Alfredo
le Polain de Waroux, Yann
Müller, Daniela María
Kuemmerle, Tobias
author Baumann, Matthias
author_facet Baumann, Matthias
Gasparri, Nestor Ignacio
Buchadas, Ana
Oeser, Julian
Meyfroidt, Patrick
Levers, Christian
Romero Muñoz, Alfredo
le Polain de Waroux, Yann
Müller, Daniela María
Kuemmerle, Tobias
author_role author
author2 Gasparri, Nestor Ignacio
Buchadas, Ana
Oeser, Julian
Meyfroidt, Patrick
Levers, Christian
Romero Muñoz, Alfredo
le Polain de Waroux, Yann
Müller, Daniela María
Kuemmerle, Tobias
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv AGRICULTURAL EXPANSION
COMMODITY FRONTIERS
DEFORESTATION
LANDSAT TIME SERIES
SOCIAL-ECOLOGICAL ARCHETYPES
TROPICAL DRY FORESTS AND SAVANNAHS
topic AGRICULTURAL EXPANSION
COMMODITY FRONTIERS
DEFORESTATION
LANDSAT TIME SERIES
SOCIAL-ECOLOGICAL ARCHETYPES
TROPICAL DRY FORESTS AND SAVANNAHS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/5.7
https://purl.org/becyt/ford/5
https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Agricultural expansion into tropical and subtropical forests often leads to major social-ecological trade-offs. Yet, despite ever-more detailed information on where deforestation occurs, how agriculture expands into forests remains unclear, which is hampered by a lack of spatially and temporally detailed reconstruction of agricultural expansion. Here, we developed and mapped a novel set of metrics that quantify agricultural frontier processes at unprecedented spatial and temporal detail. Specifically, we first derived consistent annual time series of land-use/cover to, second, describe archetypical patterns of frontier expansion, pertaining to the speed, the diffusion and activity of deforestation, as well as post-deforestation land use. We exemplify this approach for understanding agricultural frontier expansion across the entire South American Chaco (1.1 million km2), a global deforestation hotspot. Our study provides three major insights. First, agricultural expansion has been rampant in the Chaco, with more than 19.3 million ha of woodlands converted between 1985 and 2020, including a surge in deforestation after 2019. Second, land-use trajectories connected to frontier processes have changed in major ways over the 35 year study period we studied, including substantial regional variations. For instance, while ranching expansion drove most of the deforestation in the 1980s and 1990s, cropland expansion dominated during the mid-2000s in Argentina, but not in Paraguay. Similarly, 40% of all areas deforested were initially used for ranching, but later on converted to cropping. Accounting for post-deforestation land-use change is thus needed to properly attribute deforestation and associated environmental impacts, such as carbon emissions or biodiversity loss, to commodities. Finally, we identified major, recurrent frontier types that may be a useful spatial template for land governance to match policies to specific frontier situations. Collectively, our study reveals the diversity of frontier processes and how frontier metrics can capture and structure this diversity to uncover major patterns of human-nature interactions, which can be used to guide spatially-targeted policies.
Fil: Baumann, Matthias. Humboldt-Universität zu Berlin; Alemania
Fil: Gasparri, Nestor Ignacio. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; Argentina
Fil: Buchadas, Ana. Humboldt-Universität zu Berlin; Alemania
Fil: Oeser, Julian. Humboldt-Universität zu Berlin; Alemania
Fil: Meyfroidt, Patrick. Fonds de la Recherche Scientifique; Francia. Université Catholique de Louvain; Bélgica
Fil: Levers, Christian. Vrije Universiteit Amsterdam; Países Bajos
Fil: Romero Muñoz, Alfredo. Humboldt-Universität zu Berlin; Alemania
Fil: le Polain de Waroux, Yann. McGill University; Canadá
Fil: Müller, Daniela María. Leibniz Institute of Agricultural Development in Transition Economies; Alemania. Humboldt-Universität zu Berlin; Alemania
Fil: Kuemmerle, Tobias. Humboldt-Universität zu Berlin; Alemania
description Agricultural expansion into tropical and subtropical forests often leads to major social-ecological trade-offs. Yet, despite ever-more detailed information on where deforestation occurs, how agriculture expands into forests remains unclear, which is hampered by a lack of spatially and temporally detailed reconstruction of agricultural expansion. Here, we developed and mapped a novel set of metrics that quantify agricultural frontier processes at unprecedented spatial and temporal detail. Specifically, we first derived consistent annual time series of land-use/cover to, second, describe archetypical patterns of frontier expansion, pertaining to the speed, the diffusion and activity of deforestation, as well as post-deforestation land use. We exemplify this approach for understanding agricultural frontier expansion across the entire South American Chaco (1.1 million km2), a global deforestation hotspot. Our study provides three major insights. First, agricultural expansion has been rampant in the Chaco, with more than 19.3 million ha of woodlands converted between 1985 and 2020, including a surge in deforestation after 2019. Second, land-use trajectories connected to frontier processes have changed in major ways over the 35 year study period we studied, including substantial regional variations. For instance, while ranching expansion drove most of the deforestation in the 1980s and 1990s, cropland expansion dominated during the mid-2000s in Argentina, but not in Paraguay. Similarly, 40% of all areas deforested were initially used for ranching, but later on converted to cropping. Accounting for post-deforestation land-use change is thus needed to properly attribute deforestation and associated environmental impacts, such as carbon emissions or biodiversity loss, to commodities. Finally, we identified major, recurrent frontier types that may be a useful spatial template for land governance to match policies to specific frontier situations. Collectively, our study reveals the diversity of frontier processes and how frontier metrics can capture and structure this diversity to uncover major patterns of human-nature interactions, which can be used to guide spatially-targeted policies.
publishDate 2022
dc.date.none.fl_str_mv 2022-09
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/11336/214553
Baumann, Matthias; Gasparri, Nestor Ignacio; Buchadas, Ana; Oeser, Julian; Meyfroidt, Patrick; et al.; Frontier metrics for a process-based understanding of deforestation dynamics; IOP Publishing; Environmental Research Letters; 17; 9; 9-2022; 1-17
1748-9318
1748-9326
CONICET Digital
CONICET
url http://hdl.handle.net/11336/214553
identifier_str_mv Baumann, Matthias; Gasparri, Nestor Ignacio; Buchadas, Ana; Oeser, Julian; Meyfroidt, Patrick; et al.; Frontier metrics for a process-based understanding of deforestation dynamics; IOP Publishing; Environmental Research Letters; 17; 9; 9-2022; 1-17
1748-9318
1748-9326
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1088/1748-9326/ac8b9a
info:eu-repo/semantics/altIdentifier/url/https://iopscience.iop.org/article/10.1088/1748-9326/ac8b9a
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv IOP Publishing
publisher.none.fl_str_mv IOP Publishing
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
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instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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