Quantifying the Spatial Footprint of Agriculture‐Driven Edge Effects in a Global Deforestation Hotspot

Autores
Torrella, Sebastián; Baumann, Matthias; Pratzer, Marie; Aguiar, Sebastián; Piquer Rodríguez, María; Ginzburg, Rubén Gabriel; Gavier Pizarro, Gregorio; Kuemmerle, Tobias
Año de publicación
2026
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Tropical dry forests are under high and rising pressure from agricultural expansion, resulting in widespread forest conversion and fragmentation. Additionally, remaining forests experience a range of edge effects through agriculture once it has been established, yet such agriculture-driven edge effects remain weakly understood. Focusing on the Argentine Dry Chaco, a global hotspot for deforestation, we utilized satellite-based forest structure indicators within a Bayesian Hierarchical Modelling framework to quantify and map agricultural edge effects on fractional tree and shrub cover, and aboveground biomass. Specifically, we assessed how far edges reach into forests away from the forest-agriculture interface, whether edge effects differ among postdeforestation land uses (i.e., cropping vs. ranching), and how edge effects evolve over time. We reveal large agriculture-driven edge effects in the Chaco, penetrating >700m into adjacent forests, with reductions of up to 41% in our structural parameters. Cropping was associated with much stronger edge effects than pastures, likely due to the combined effect of environmental (e.g., wind) and management (e.g., pesticide drift) factors, while silvopastures had much lower edge effects. Projecting our models across the region showed that 18% of remaining forests are degraded, with an estimated total loss of 92.3 million tons of aboveground biomass. Lastly, agriculture-driven edge effects intensified for long periods after initial deforestation (e.g., >30 years for tree cover), suggesting agricultural expansion creates a degradation debt that unfolds over decades. We conclude that agriculture-driven edge effects are a major, yet often overlooked, consequence of agricultural expansion, leading to profound degradation far beyond the deforestation footprint. Despite their importance, these effects remain systematically underestimated in sustainability analyses, such as carbon accounting or biodiversity impact assessments. Our work supports views that conservation planning should prioritize large and contiguous forest patches to help maintain ecologically functional forests.
Fil: Torrella, Sebastián. Humboldt-universitat Zu Berlin. Geography Department.; Alemania
Fil: Baumann, Matthias. Humboldt-universitat Zu Berlin. Geography Department.; Alemania
Fil: Pratzer, Marie. Humboldt-universitat Zu Berlin. Geography Department.; Alemania
Fil: Aguiar, Sebastián. Humboldt-universitat Zu Berlin. Geography Department.; Alemania. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Piquer Rodríguez, María. Freie Universität Berlin; Alemania
Fil: Ginzburg, Rubén Gabriel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Gavier Pizarro, Gregorio. Instituto Nacional de Tecnologia Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Estudios Agropecuarios. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Unidad de Estudios Agropecuarios.; Argentina
Fil: Kuemmerle, Tobias. Humboldt-universitat Zu Berlin. Geography Department.; Alemania
Materia
ABOVEGROUND BIOMASS
AGRCULTURAL EXPANSION
MULTILEVEL BAYESIAN MODELS
DRY CHACO
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:11336/290151
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/290151
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Quantifying the Spatial Footprint of Agriculture‐Driven Edge Effects in a Global Deforestation HotspotTorrella, SebastiánBaumann, MatthiasPratzer, MarieAguiar, SebastiánPiquer Rodríguez, MaríaGinzburg, Rubén GabrielGavier Pizarro, GregorioKuemmerle, TobiasABOVEGROUND BIOMASSAGRCULTURAL EXPANSIONMULTILEVEL BAYESIAN MODELSDRY CHACOhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Tropical dry forests are under high and rising pressure from agricultural expansion, resulting in widespread forest conversion and fragmentation. Additionally, remaining forests experience a range of edge effects through agriculture once it has been established, yet such agriculture-driven edge effects remain weakly understood. Focusing on the Argentine Dry Chaco, a global hotspot for deforestation, we utilized satellite-based forest structure indicators within a Bayesian Hierarchical Modelling framework to quantify and map agricultural edge effects on fractional tree and shrub cover, and aboveground biomass. Specifically, we assessed how far edges reach into forests away from the forest-agriculture interface, whether edge effects differ among postdeforestation land uses (i.e., cropping vs. ranching), and how edge effects evolve over time. We reveal large agriculture-driven edge effects in the Chaco, penetrating >700m into adjacent forests, with reductions of up to 41% in our structural parameters. Cropping was associated with much stronger edge effects than pastures, likely due to the combined effect of environmental (e.g., wind) and management (e.g., pesticide drift) factors, while silvopastures had much lower edge effects. Projecting our models across the region showed that 18% of remaining forests are degraded, with an estimated total loss of 92.3 million tons of aboveground biomass. Lastly, agriculture-driven edge effects intensified for long periods after initial deforestation (e.g., >30 years for tree cover), suggesting agricultural expansion creates a degradation debt that unfolds over decades. We conclude that agriculture-driven edge effects are a major, yet often overlooked, consequence of agricultural expansion, leading to profound degradation far beyond the deforestation footprint. Despite their importance, these effects remain systematically underestimated in sustainability analyses, such as carbon accounting or biodiversity impact assessments. Our work supports views that conservation planning should prioritize large and contiguous forest patches to help maintain ecologically functional forests.Fil: Torrella, Sebastián. Humboldt-universitat Zu Berlin. Geography Department.; AlemaniaFil: Baumann, Matthias. Humboldt-universitat Zu Berlin. Geography Department.; AlemaniaFil: Pratzer, Marie. Humboldt-universitat Zu Berlin. Geography Department.; AlemaniaFil: Aguiar, Sebastián. Humboldt-universitat Zu Berlin. Geography Department.; Alemania. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; ArgentinaFil: Piquer Rodríguez, María. Freie Universität Berlin; AlemaniaFil: Ginzburg, Rubén Gabriel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Gavier Pizarro, Gregorio. Instituto Nacional de Tecnologia Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Estudios Agropecuarios. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Unidad de Estudios Agropecuarios.; ArgentinaFil: Kuemmerle, Tobias. Humboldt-universitat Zu Berlin. Geography Department.; AlemaniaWiley Blackwell Publishing, Inc2026-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/290151Torrella, Sebastián; Baumann, Matthias; Pratzer, Marie; Aguiar, Sebastián; Piquer Rodríguez, María; et al.; Quantifying the Spatial Footprint of Agriculture‐Driven Edge Effects in a Global Deforestation Hotspot; Wiley Blackwell Publishing, Inc; Global Change Biology; 32; 2; 2-2026; 1-121354-1013CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1111/gcb.70737info:eu-repo/semantics/altIdentifier/doi/10.1111/gcb.70737info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T14:54:56Zoai:ri.conicet.gov.ar:11336/290151instacron: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:34982026-08-25 14:54:56.948CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Quantifying the Spatial Footprint of Agriculture‐Driven Edge Effects in a Global Deforestation Hotspot
title Quantifying the Spatial Footprint of Agriculture‐Driven Edge Effects in a Global Deforestation Hotspot
spellingShingle Quantifying the Spatial Footprint of Agriculture‐Driven Edge Effects in a Global Deforestation Hotspot
Torrella, Sebastián
ABOVEGROUND BIOMASS
AGRCULTURAL EXPANSION
MULTILEVEL BAYESIAN MODELS
DRY CHACO
title_short Quantifying the Spatial Footprint of Agriculture‐Driven Edge Effects in a Global Deforestation Hotspot
title_full Quantifying the Spatial Footprint of Agriculture‐Driven Edge Effects in a Global Deforestation Hotspot
title_fullStr Quantifying the Spatial Footprint of Agriculture‐Driven Edge Effects in a Global Deforestation Hotspot
title_full_unstemmed Quantifying the Spatial Footprint of Agriculture‐Driven Edge Effects in a Global Deforestation Hotspot
title_sort Quantifying the Spatial Footprint of Agriculture‐Driven Edge Effects in a Global Deforestation Hotspot
dc.creator.none.fl_str_mv Torrella, Sebastián
Baumann, Matthias
Pratzer, Marie
Aguiar, Sebastián
Piquer Rodríguez, María
Ginzburg, Rubén Gabriel
Gavier Pizarro, Gregorio
Kuemmerle, Tobias
author Torrella, Sebastián
author_facet Torrella, Sebastián
Baumann, Matthias
Pratzer, Marie
Aguiar, Sebastián
Piquer Rodríguez, María
Ginzburg, Rubén Gabriel
Gavier Pizarro, Gregorio
Kuemmerle, Tobias
author_role author
author2 Baumann, Matthias
Pratzer, Marie
Aguiar, Sebastián
Piquer Rodríguez, María
Ginzburg, Rubén Gabriel
Gavier Pizarro, Gregorio
Kuemmerle, Tobias
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv ABOVEGROUND BIOMASS
AGRCULTURAL EXPANSION
MULTILEVEL BAYESIAN MODELS
DRY CHACO
topic ABOVEGROUND BIOMASS
AGRCULTURAL EXPANSION
MULTILEVEL BAYESIAN MODELS
DRY CHACO
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Tropical dry forests are under high and rising pressure from agricultural expansion, resulting in widespread forest conversion and fragmentation. Additionally, remaining forests experience a range of edge effects through agriculture once it has been established, yet such agriculture-driven edge effects remain weakly understood. Focusing on the Argentine Dry Chaco, a global hotspot for deforestation, we utilized satellite-based forest structure indicators within a Bayesian Hierarchical Modelling framework to quantify and map agricultural edge effects on fractional tree and shrub cover, and aboveground biomass. Specifically, we assessed how far edges reach into forests away from the forest-agriculture interface, whether edge effects differ among postdeforestation land uses (i.e., cropping vs. ranching), and how edge effects evolve over time. We reveal large agriculture-driven edge effects in the Chaco, penetrating >700m into adjacent forests, with reductions of up to 41% in our structural parameters. Cropping was associated with much stronger edge effects than pastures, likely due to the combined effect of environmental (e.g., wind) and management (e.g., pesticide drift) factors, while silvopastures had much lower edge effects. Projecting our models across the region showed that 18% of remaining forests are degraded, with an estimated total loss of 92.3 million tons of aboveground biomass. Lastly, agriculture-driven edge effects intensified for long periods after initial deforestation (e.g., >30 years for tree cover), suggesting agricultural expansion creates a degradation debt that unfolds over decades. We conclude that agriculture-driven edge effects are a major, yet often overlooked, consequence of agricultural expansion, leading to profound degradation far beyond the deforestation footprint. Despite their importance, these effects remain systematically underestimated in sustainability analyses, such as carbon accounting or biodiversity impact assessments. Our work supports views that conservation planning should prioritize large and contiguous forest patches to help maintain ecologically functional forests.
Fil: Torrella, Sebastián. Humboldt-universitat Zu Berlin. Geography Department.; Alemania
Fil: Baumann, Matthias. Humboldt-universitat Zu Berlin. Geography Department.; Alemania
Fil: Pratzer, Marie. Humboldt-universitat Zu Berlin. Geography Department.; Alemania
Fil: Aguiar, Sebastián. Humboldt-universitat Zu Berlin. Geography Department.; Alemania. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Piquer Rodríguez, María. Freie Universität Berlin; Alemania
Fil: Ginzburg, Rubén Gabriel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Gavier Pizarro, Gregorio. Instituto Nacional de Tecnologia Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Estudios Agropecuarios. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Unidad de Estudios Agropecuarios.; Argentina
Fil: Kuemmerle, Tobias. Humboldt-universitat Zu Berlin. Geography Department.; Alemania
description Tropical dry forests are under high and rising pressure from agricultural expansion, resulting in widespread forest conversion and fragmentation. Additionally, remaining forests experience a range of edge effects through agriculture once it has been established, yet such agriculture-driven edge effects remain weakly understood. Focusing on the Argentine Dry Chaco, a global hotspot for deforestation, we utilized satellite-based forest structure indicators within a Bayesian Hierarchical Modelling framework to quantify and map agricultural edge effects on fractional tree and shrub cover, and aboveground biomass. Specifically, we assessed how far edges reach into forests away from the forest-agriculture interface, whether edge effects differ among postdeforestation land uses (i.e., cropping vs. ranching), and how edge effects evolve over time. We reveal large agriculture-driven edge effects in the Chaco, penetrating >700m into adjacent forests, with reductions of up to 41% in our structural parameters. Cropping was associated with much stronger edge effects than pastures, likely due to the combined effect of environmental (e.g., wind) and management (e.g., pesticide drift) factors, while silvopastures had much lower edge effects. Projecting our models across the region showed that 18% of remaining forests are degraded, with an estimated total loss of 92.3 million tons of aboveground biomass. Lastly, agriculture-driven edge effects intensified for long periods after initial deforestation (e.g., >30 years for tree cover), suggesting agricultural expansion creates a degradation debt that unfolds over decades. We conclude that agriculture-driven edge effects are a major, yet often overlooked, consequence of agricultural expansion, leading to profound degradation far beyond the deforestation footprint. Despite their importance, these effects remain systematically underestimated in sustainability analyses, such as carbon accounting or biodiversity impact assessments. Our work supports views that conservation planning should prioritize large and contiguous forest patches to help maintain ecologically functional forests.
publishDate 2026
dc.date.none.fl_str_mv 2026-02
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/11336/290151
Torrella, Sebastián; Baumann, Matthias; Pratzer, Marie; Aguiar, Sebastián; Piquer Rodríguez, María; et al.; Quantifying the Spatial Footprint of Agriculture‐Driven Edge Effects in a Global Deforestation Hotspot; Wiley Blackwell Publishing, Inc; Global Change Biology; 32; 2; 2-2026; 1-12
1354-1013
CONICET Digital
CONICET
url http://hdl.handle.net/11336/290151
identifier_str_mv Torrella, Sebastián; Baumann, Matthias; Pratzer, Marie; Aguiar, Sebastián; Piquer Rodríguez, María; et al.; Quantifying the Spatial Footprint of Agriculture‐Driven Edge Effects in a Global Deforestation Hotspot; Wiley Blackwell Publishing, Inc; Global Change Biology; 32; 2; 2-2026; 1-12
1354-1013
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1111/gcb.70737
info:eu-repo/semantics/altIdentifier/doi/10.1111/gcb.70737
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 Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
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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score 13.265058

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