Three Decades of Remote Sensing Reveal Contrasting Trends of Biomass and Tree Regeneration in Argentine Dry Forests

Autores
Figueroa Masanet, María Agostina; Gatica, Gabriel; Soler Esteban, Rosina Matilde; Villalobos Perna, Priscila; Campos, Valeria Evelin
Año de publicación
2026
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Dry forests are increasingly threatened by degradation, which determines their structural integrity, functional capacity, and the ability to provide essential ecosystem services. Degradation is the consequence of processes that reduce the different attributes of forests. This study aimed to (i) identify remote sensing proxies for above-ground biomass (AGB) and tree regeneration in three ecoregions of dry forest localized in west Argentina; (ii) analyze the temporal dynamics between 1993 and 2023; (iii) assess the role of precipitation in their temporal variability, and (iv) map their spatial distribution. The median Tasseled Cap Transformation Wetness (TCTW) was the best-performing spectral proxy for AGB, while median Enhanced Vegetation Index (EVI) best captured tree regeneration. In the time series of TCTW, no significant breakpoint was detected; however, a pronounced decline in the median EVI occurred in 1998 in the Monte of Plains and Plateaus and Monte of Hills and Basins ecoregions, particularly near watercourses. In the Dry Chaco, tree regeneration recovered after 2013; however, a decline after a breakpoint coincided with decreased precipitation. Overall, AGB and tree regeneration exhibited contrasting temporal and spatial patterns, underscoring the heterogeneity of dry forests. A weakening relationship between precipitation, a key driver of forests, and forest attributes suggests the influence of other factors, including topography and land use change.
Fil: Figueroa Masanet, María Agostina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; Argentina
Fil: Gatica, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; Argentina
Fil: Soler Esteban, Rosina Matilde. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina
Fil: Villalobos Perna, Priscila. Universidad Nacional de San Juan. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina
Fil: Campos, Valeria Evelin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; Argentina
Materia
ABOVE-GROUND BIOMASS
FOREST DYNAMICS
LANDSAT TIME SERIES
PRECIPITATION VARIABLITY
VEGETATION INDICES
ENHANCED VEGETATION INDEX
TASSELED CAP TRANSFORMATION WETNESS
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:11336/289709
Acceder
id CONICETDig_d80e43b4d294fd33e5993c8f9fadc0f1
oai_identifier_str oai:ri.conicet.gov.ar:11336/289709
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Three Decades of Remote Sensing Reveal Contrasting Trends of Biomass and Tree Regeneration in Argentine Dry ForestsFigueroa Masanet, María AgostinaGatica, GabrielSoler Esteban, Rosina MatildeVillalobos Perna, PriscilaCampos, Valeria EvelinABOVE-GROUND BIOMASSFOREST DYNAMICSLANDSAT TIME SERIESPRECIPITATION VARIABLITYVEGETATION INDICESENHANCED VEGETATION INDEXTASSELED CAP TRANSFORMATION WETNESShttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Dry forests are increasingly threatened by degradation, which determines their structural integrity, functional capacity, and the ability to provide essential ecosystem services. Degradation is the consequence of processes that reduce the different attributes of forests. This study aimed to (i) identify remote sensing proxies for above-ground biomass (AGB) and tree regeneration in three ecoregions of dry forest localized in west Argentina; (ii) analyze the temporal dynamics between 1993 and 2023; (iii) assess the role of precipitation in their temporal variability, and (iv) map their spatial distribution. The median Tasseled Cap Transformation Wetness (TCTW) was the best-performing spectral proxy for AGB, while median Enhanced Vegetation Index (EVI) best captured tree regeneration. In the time series of TCTW, no significant breakpoint was detected; however, a pronounced decline in the median EVI occurred in 1998 in the Monte of Plains and Plateaus and Monte of Hills and Basins ecoregions, particularly near watercourses. In the Dry Chaco, tree regeneration recovered after 2013; however, a decline after a breakpoint coincided with decreased precipitation. Overall, AGB and tree regeneration exhibited contrasting temporal and spatial patterns, underscoring the heterogeneity of dry forests. A weakening relationship between precipitation, a key driver of forests, and forest attributes suggests the influence of other factors, including topography and land use change.Fil: Figueroa Masanet, María Agostina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; ArgentinaFil: Gatica, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; ArgentinaFil: Soler Esteban, Rosina Matilde. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; ArgentinaFil: Villalobos Perna, Priscila. Universidad Nacional de San Juan. Facultad de Ciencias Exactas, Físicas y Naturales; ArgentinaFil: Campos, Valeria Evelin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; ArgentinaMDPI2026-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/289709Figueroa Masanet, María Agostina; Gatica, Gabriel; Soler Esteban, Rosina Matilde; Villalobos Perna, Priscila; Campos, Valeria Evelin; Three Decades of Remote Sensing Reveal Contrasting Trends of Biomass and Tree Regeneration in Argentine Dry Forests; MDPI; Land; 15; 2; 2-2026; 1-242073-445XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3390/land15020350info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T14:34:30Zoai:ri.conicet.gov.ar:11336/289709instacron: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 14:34:30.624CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Three Decades of Remote Sensing Reveal Contrasting Trends of Biomass and Tree Regeneration in Argentine Dry Forests
title Three Decades of Remote Sensing Reveal Contrasting Trends of Biomass and Tree Regeneration in Argentine Dry Forests
spellingShingle Three Decades of Remote Sensing Reveal Contrasting Trends of Biomass and Tree Regeneration in Argentine Dry Forests
Figueroa Masanet, María Agostina
ABOVE-GROUND BIOMASS
FOREST DYNAMICS
LANDSAT TIME SERIES
PRECIPITATION VARIABLITY
VEGETATION INDICES
ENHANCED VEGETATION INDEX
TASSELED CAP TRANSFORMATION WETNESS
title_short Three Decades of Remote Sensing Reveal Contrasting Trends of Biomass and Tree Regeneration in Argentine Dry Forests
title_full Three Decades of Remote Sensing Reveal Contrasting Trends of Biomass and Tree Regeneration in Argentine Dry Forests
title_fullStr Three Decades of Remote Sensing Reveal Contrasting Trends of Biomass and Tree Regeneration in Argentine Dry Forests
title_full_unstemmed Three Decades of Remote Sensing Reveal Contrasting Trends of Biomass and Tree Regeneration in Argentine Dry Forests
title_sort Three Decades of Remote Sensing Reveal Contrasting Trends of Biomass and Tree Regeneration in Argentine Dry Forests
dc.creator.none.fl_str_mv Figueroa Masanet, María Agostina
Gatica, Gabriel
Soler Esteban, Rosina Matilde
Villalobos Perna, Priscila
Campos, Valeria Evelin
author Figueroa Masanet, María Agostina
author_facet Figueroa Masanet, María Agostina
Gatica, Gabriel
Soler Esteban, Rosina Matilde
Villalobos Perna, Priscila
Campos, Valeria Evelin
author_role author
author2 Gatica, Gabriel
Soler Esteban, Rosina Matilde
Villalobos Perna, Priscila
Campos, Valeria Evelin
author2_role author
author
author
author
dc.subject.none.fl_str_mv ABOVE-GROUND BIOMASS
FOREST DYNAMICS
LANDSAT TIME SERIES
PRECIPITATION VARIABLITY
VEGETATION INDICES
ENHANCED VEGETATION INDEX
TASSELED CAP TRANSFORMATION WETNESS
topic ABOVE-GROUND BIOMASS
FOREST DYNAMICS
LANDSAT TIME SERIES
PRECIPITATION VARIABLITY
VEGETATION INDICES
ENHANCED VEGETATION INDEX
TASSELED CAP TRANSFORMATION WETNESS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Dry forests are increasingly threatened by degradation, which determines their structural integrity, functional capacity, and the ability to provide essential ecosystem services. Degradation is the consequence of processes that reduce the different attributes of forests. This study aimed to (i) identify remote sensing proxies for above-ground biomass (AGB) and tree regeneration in three ecoregions of dry forest localized in west Argentina; (ii) analyze the temporal dynamics between 1993 and 2023; (iii) assess the role of precipitation in their temporal variability, and (iv) map their spatial distribution. The median Tasseled Cap Transformation Wetness (TCTW) was the best-performing spectral proxy for AGB, while median Enhanced Vegetation Index (EVI) best captured tree regeneration. In the time series of TCTW, no significant breakpoint was detected; however, a pronounced decline in the median EVI occurred in 1998 in the Monte of Plains and Plateaus and Monte of Hills and Basins ecoregions, particularly near watercourses. In the Dry Chaco, tree regeneration recovered after 2013; however, a decline after a breakpoint coincided with decreased precipitation. Overall, AGB and tree regeneration exhibited contrasting temporal and spatial patterns, underscoring the heterogeneity of dry forests. A weakening relationship between precipitation, a key driver of forests, and forest attributes suggests the influence of other factors, including topography and land use change.
Fil: Figueroa Masanet, María Agostina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; Argentina
Fil: Gatica, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; Argentina
Fil: Soler Esteban, Rosina Matilde. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina
Fil: Villalobos Perna, Priscila. Universidad Nacional de San Juan. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina
Fil: Campos, Valeria Evelin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; Argentina
description Dry forests are increasingly threatened by degradation, which determines their structural integrity, functional capacity, and the ability to provide essential ecosystem services. Degradation is the consequence of processes that reduce the different attributes of forests. This study aimed to (i) identify remote sensing proxies for above-ground biomass (AGB) and tree regeneration in three ecoregions of dry forest localized in west Argentina; (ii) analyze the temporal dynamics between 1993 and 2023; (iii) assess the role of precipitation in their temporal variability, and (iv) map their spatial distribution. The median Tasseled Cap Transformation Wetness (TCTW) was the best-performing spectral proxy for AGB, while median Enhanced Vegetation Index (EVI) best captured tree regeneration. In the time series of TCTW, no significant breakpoint was detected; however, a pronounced decline in the median EVI occurred in 1998 in the Monte of Plains and Plateaus and Monte of Hills and Basins ecoregions, particularly near watercourses. In the Dry Chaco, tree regeneration recovered after 2013; however, a decline after a breakpoint coincided with decreased precipitation. Overall, AGB and tree regeneration exhibited contrasting temporal and spatial patterns, underscoring the heterogeneity of dry forests. A weakening relationship between precipitation, a key driver of forests, and forest attributes suggests the influence of other factors, including topography and land use change.
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/11336/289709
Figueroa Masanet, María Agostina; Gatica, Gabriel; Soler Esteban, Rosina Matilde; Villalobos Perna, Priscila; Campos, Valeria Evelin; Three Decades of Remote Sensing Reveal Contrasting Trends of Biomass and Tree Regeneration in Argentine Dry Forests; MDPI; Land; 15; 2; 2-2026; 1-24
2073-445X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/289709
identifier_str_mv Figueroa Masanet, María Agostina; Gatica, Gabriel; Soler Esteban, Rosina Matilde; Villalobos Perna, Priscila; Campos, Valeria Evelin; Three Decades of Remote Sensing Reveal Contrasting Trends of Biomass and Tree Regeneration in Argentine Dry Forests; MDPI; Land; 15; 2; 2-2026; 1-24
2073-445X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3390/land15020350
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 MDPI
publisher.none.fl_str_mv MDPI
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
_version_ 1874774211610804224
score 13.24418

Publicaciones similares