From Forestation to Invasion: A Remote Sensing Assessment of Exotic Pinaceae in the Northwestern Patagonian Wildland–Urban Interface

Autores
Bagnato, Camilo Ernesto; Moyano, Jaime; Gonzalez, Sofia Laura; Blackhall, Melisa; Franzese, Jorgelina; Freire, Rodrigo; Nuñez, Cecilia; Ojeda, Valeria Susana; Ghermandi, Luciana
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Biological invasions are major threats to global biodiversity, and mapping their distribution is essential to prioritizing management efforts. The Pinaceae family (hereafter pines) includes invasive trees, particularly in Southern Hemisphere regions where they are nonnative. These invasions can increase the severity of fires in wildland–urban interfaces (WUIs). We mapped pine invasion in the Bariloche WUI (≈150,000 ha, northwest Patagonia, Argentina) using supervised land cover classification of Sentinel-2 imagery with a Random Forest algorithm on Google Earth Engine, achieving 90% overall accuracy but underestimating the pine invasion area by about 25%. We then assessed in which main vegetation context pine invasions occurred relying on major vegetation units across the precipitation gradient of our study area. Invasions cover 2% of the study area, mainly in forests (61%), steppes (25.4%), and shrublands (13.4%). Most invaded areas (89.1%) are on private land; nearly 70% are on large properties (>10 ha), where state financial incentives could support removal. Another 13.5% occur on many small properties (<1 ha), where awareness campaigns could enable decentralized, low-effort control. Our land cover map can be developed further to integrate invasion dynamics, inform fire risk and behavior models, optimize management actions, and guide territorial planning. Overall, it provides a valuable tool for targeted, scale-appropriate strategies to mitigate ecological and fire-related impacts of invasive pines.
Fil: Bagnato, Camilo Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Administración de Parques Nacionales. Parque Nacional "Nahuel Huapi"; Argentina
Fil: Moyano, Jaime. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
Fil: Gonzalez, Sofia Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
Fil: Blackhall, Melisa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
Fil: Franzese, Jorgelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
Fil: Freire, Rodrigo. Administración de Parques Nacionales; Argentina
Fil: Nuñez, Cecilia. Administración de Parques Nacionales. Parque Nacional "Nahuel Huapi"; Argentina
Fil: Ojeda, Valeria Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
Fil: Ghermandi, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
Materia
LAND GOVERNANCE
FIRE RISK
FORESTATION
PATAGONIA
PINE INVASION
REMOTE SENSING
SENTINEL-2
TERRITORIAL PLANNING
WILDLAND-URBAN INTERFACE
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:11336/291882
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/291882
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling From Forestation to Invasion: A Remote Sensing Assessment of Exotic Pinaceae in the Northwestern Patagonian Wildland–Urban InterfaceBagnato, Camilo ErnestoMoyano, JaimeGonzalez, Sofia LauraBlackhall, MelisaFranzese, JorgelinaFreire, RodrigoNuñez, CeciliaOjeda, Valeria SusanaGhermandi, LucianaLAND GOVERNANCEFIRE RISKFORESTATIONPATAGONIAPINE INVASIONREMOTE SENSINGSENTINEL-2TERRITORIAL PLANNINGWILDLAND-URBAN INTERFACEhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Biological invasions are major threats to global biodiversity, and mapping their distribution is essential to prioritizing management efforts. The Pinaceae family (hereafter pines) includes invasive trees, particularly in Southern Hemisphere regions where they are nonnative. These invasions can increase the severity of fires in wildland–urban interfaces (WUIs). We mapped pine invasion in the Bariloche WUI (≈150,000 ha, northwest Patagonia, Argentina) using supervised land cover classification of Sentinel-2 imagery with a Random Forest algorithm on Google Earth Engine, achieving 90% overall accuracy but underestimating the pine invasion area by about 25%. We then assessed in which main vegetation context pine invasions occurred relying on major vegetation units across the precipitation gradient of our study area. Invasions cover 2% of the study area, mainly in forests (61%), steppes (25.4%), and shrublands (13.4%). Most invaded areas (89.1%) are on private land; nearly 70% are on large properties (>10 ha), where state financial incentives could support removal. Another 13.5% occur on many small properties (<1 ha), where awareness campaigns could enable decentralized, low-effort control. Our land cover map can be developed further to integrate invasion dynamics, inform fire risk and behavior models, optimize management actions, and guide territorial planning. Overall, it provides a valuable tool for targeted, scale-appropriate strategies to mitigate ecological and fire-related impacts of invasive pines.Fil: Bagnato, Camilo Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Administración de Parques Nacionales. Parque Nacional "Nahuel Huapi"; ArgentinaFil: Moyano, Jaime. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaFil: Gonzalez, Sofia Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaFil: Blackhall, Melisa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaFil: Franzese, Jorgelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaFil: Freire, Rodrigo. Administración de Parques Nacionales; ArgentinaFil: Nuñez, Cecilia. Administración de Parques Nacionales. Parque Nacional "Nahuel Huapi"; ArgentinaFil: Ojeda, Valeria Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaFil: Ghermandi, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaMultidisciplinary Digital Publishing Institute2025-12-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/291882Bagnato, Camilo Ernesto; Moyano, Jaime; Gonzalez, Sofia Laura; Blackhall, Melisa; Franzese, Jorgelina; et al.; From Forestation to Invasion: A Remote Sensing Assessment of Exotic Pinaceae in the Northwestern Patagonian Wildland–Urban Interface; Multidisciplinary Digital Publishing Institute; Forests; 16; 12; 13-12-2025; 1-171999-4907CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1999-4907/16/12/1853info:eu-repo/semantics/altIdentifier/doi/10.3390/f16121853info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T15:40:48Zoai:ri.conicet.gov.ar:11336/291882instacron: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 15:40:48.499CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv From Forestation to Invasion: A Remote Sensing Assessment of Exotic Pinaceae in the Northwestern Patagonian Wildland–Urban Interface
title From Forestation to Invasion: A Remote Sensing Assessment of Exotic Pinaceae in the Northwestern Patagonian Wildland–Urban Interface
spellingShingle From Forestation to Invasion: A Remote Sensing Assessment of Exotic Pinaceae in the Northwestern Patagonian Wildland–Urban Interface
Bagnato, Camilo Ernesto
LAND GOVERNANCE
FIRE RISK
FORESTATION
PATAGONIA
PINE INVASION
REMOTE SENSING
SENTINEL-2
TERRITORIAL PLANNING
WILDLAND-URBAN INTERFACE
title_short From Forestation to Invasion: A Remote Sensing Assessment of Exotic Pinaceae in the Northwestern Patagonian Wildland–Urban Interface
title_full From Forestation to Invasion: A Remote Sensing Assessment of Exotic Pinaceae in the Northwestern Patagonian Wildland–Urban Interface
title_fullStr From Forestation to Invasion: A Remote Sensing Assessment of Exotic Pinaceae in the Northwestern Patagonian Wildland–Urban Interface
title_full_unstemmed From Forestation to Invasion: A Remote Sensing Assessment of Exotic Pinaceae in the Northwestern Patagonian Wildland–Urban Interface
title_sort From Forestation to Invasion: A Remote Sensing Assessment of Exotic Pinaceae in the Northwestern Patagonian Wildland–Urban Interface
dc.creator.none.fl_str_mv Bagnato, Camilo Ernesto
Moyano, Jaime
Gonzalez, Sofia Laura
Blackhall, Melisa
Franzese, Jorgelina
Freire, Rodrigo
Nuñez, Cecilia
Ojeda, Valeria Susana
Ghermandi, Luciana
author Bagnato, Camilo Ernesto
author_facet Bagnato, Camilo Ernesto
Moyano, Jaime
Gonzalez, Sofia Laura
Blackhall, Melisa
Franzese, Jorgelina
Freire, Rodrigo
Nuñez, Cecilia
Ojeda, Valeria Susana
Ghermandi, Luciana
author_role author
author2 Moyano, Jaime
Gonzalez, Sofia Laura
Blackhall, Melisa
Franzese, Jorgelina
Freire, Rodrigo
Nuñez, Cecilia
Ojeda, Valeria Susana
Ghermandi, Luciana
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv LAND GOVERNANCE
FIRE RISK
FORESTATION
PATAGONIA
PINE INVASION
REMOTE SENSING
SENTINEL-2
TERRITORIAL PLANNING
WILDLAND-URBAN INTERFACE
topic LAND GOVERNANCE
FIRE RISK
FORESTATION
PATAGONIA
PINE INVASION
REMOTE SENSING
SENTINEL-2
TERRITORIAL PLANNING
WILDLAND-URBAN INTERFACE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Biological invasions are major threats to global biodiversity, and mapping their distribution is essential to prioritizing management efforts. The Pinaceae family (hereafter pines) includes invasive trees, particularly in Southern Hemisphere regions where they are nonnative. These invasions can increase the severity of fires in wildland–urban interfaces (WUIs). We mapped pine invasion in the Bariloche WUI (≈150,000 ha, northwest Patagonia, Argentina) using supervised land cover classification of Sentinel-2 imagery with a Random Forest algorithm on Google Earth Engine, achieving 90% overall accuracy but underestimating the pine invasion area by about 25%. We then assessed in which main vegetation context pine invasions occurred relying on major vegetation units across the precipitation gradient of our study area. Invasions cover 2% of the study area, mainly in forests (61%), steppes (25.4%), and shrublands (13.4%). Most invaded areas (89.1%) are on private land; nearly 70% are on large properties (>10 ha), where state financial incentives could support removal. Another 13.5% occur on many small properties (<1 ha), where awareness campaigns could enable decentralized, low-effort control. Our land cover map can be developed further to integrate invasion dynamics, inform fire risk and behavior models, optimize management actions, and guide territorial planning. Overall, it provides a valuable tool for targeted, scale-appropriate strategies to mitigate ecological and fire-related impacts of invasive pines.
Fil: Bagnato, Camilo Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Administración de Parques Nacionales. Parque Nacional "Nahuel Huapi"; Argentina
Fil: Moyano, Jaime. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
Fil: Gonzalez, Sofia Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
Fil: Blackhall, Melisa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
Fil: Franzese, Jorgelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
Fil: Freire, Rodrigo. Administración de Parques Nacionales; Argentina
Fil: Nuñez, Cecilia. Administración de Parques Nacionales. Parque Nacional "Nahuel Huapi"; Argentina
Fil: Ojeda, Valeria Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
Fil: Ghermandi, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
description Biological invasions are major threats to global biodiversity, and mapping their distribution is essential to prioritizing management efforts. The Pinaceae family (hereafter pines) includes invasive trees, particularly in Southern Hemisphere regions where they are nonnative. These invasions can increase the severity of fires in wildland–urban interfaces (WUIs). We mapped pine invasion in the Bariloche WUI (≈150,000 ha, northwest Patagonia, Argentina) using supervised land cover classification of Sentinel-2 imagery with a Random Forest algorithm on Google Earth Engine, achieving 90% overall accuracy but underestimating the pine invasion area by about 25%. We then assessed in which main vegetation context pine invasions occurred relying on major vegetation units across the precipitation gradient of our study area. Invasions cover 2% of the study area, mainly in forests (61%), steppes (25.4%), and shrublands (13.4%). Most invaded areas (89.1%) are on private land; nearly 70% are on large properties (>10 ha), where state financial incentives could support removal. Another 13.5% occur on many small properties (<1 ha), where awareness campaigns could enable decentralized, low-effort control. Our land cover map can be developed further to integrate invasion dynamics, inform fire risk and behavior models, optimize management actions, and guide territorial planning. Overall, it provides a valuable tool for targeted, scale-appropriate strategies to mitigate ecological and fire-related impacts of invasive pines.
publishDate 2025
dc.date.none.fl_str_mv 2025-12-13
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/11336/291882
Bagnato, Camilo Ernesto; Moyano, Jaime; Gonzalez, Sofia Laura; Blackhall, Melisa; Franzese, Jorgelina; et al.; From Forestation to Invasion: A Remote Sensing Assessment of Exotic Pinaceae in the Northwestern Patagonian Wildland–Urban Interface; Multidisciplinary Digital Publishing Institute; Forests; 16; 12; 13-12-2025; 1-17
1999-4907
CONICET Digital
CONICET
url http://hdl.handle.net/11336/291882
identifier_str_mv Bagnato, Camilo Ernesto; Moyano, Jaime; Gonzalez, Sofia Laura; Blackhall, Melisa; Franzese, Jorgelina; et al.; From Forestation to Invasion: A Remote Sensing Assessment of Exotic Pinaceae in the Northwestern Patagonian Wildland–Urban Interface; Multidisciplinary Digital Publishing Institute; Forests; 16; 12; 13-12-2025; 1-17
1999-4907
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://www.mdpi.com/1999-4907/16/12/1853
info:eu-repo/semantics/altIdentifier/doi/10.3390/f16121853
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
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
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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