Early Response of Post-Fire Forest Treatments Across Four Iberian Ecoregions: Indicators to Maximize Its Effectiveness by Remote Sensing

[EN] Remote sensing techniques that use spectral indices (SIs) are essential for monitoring vegetation recovery after wildfires. However, there is a critical gap in the comparability of SI responses across ecoregions due to ecological variability. In this study, a meta-analysis was conducted to eval...

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Autores: Pérez-Romero, Javier|||0000-0002-3105-8956, Blanco-Cano, Laura|||0000-0003-1794-8087, Campo García, Antonio Dámaso Del|||0000-0002-5279-4215, Lucas-Borja, Manuel Esteban, Zema, Demetrio A., Soria, Rocío, Miralles, Isabel, Fernández, Cristina
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/226256
Acceso en línea:https://riunet.upv.es/handle/10251/226256
Access Level:acceso abierto
Palabra clave:Wildfires
Post-fire management
Vegetation indices
Restoration strategies
Fire severity
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network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Early Response of Post-Fire Forest Treatments Across Four Iberian Ecoregions: Indicators to Maximize Its Effectiveness by Remote Sensing
title Early Response of Post-Fire Forest Treatments Across Four Iberian Ecoregions: Indicators to Maximize Its Effectiveness by Remote Sensing
spellingShingle Early Response of Post-Fire Forest Treatments Across Four Iberian Ecoregions: Indicators to Maximize Its Effectiveness by Remote Sensing
Pérez-Romero, Javier|||0000-0002-3105-8956
Wildfires
Post-fire management
Vegetation indices
Restoration strategies
Fire severity
title_short Early Response of Post-Fire Forest Treatments Across Four Iberian Ecoregions: Indicators to Maximize Its Effectiveness by Remote Sensing
title_full Early Response of Post-Fire Forest Treatments Across Four Iberian Ecoregions: Indicators to Maximize Its Effectiveness by Remote Sensing
title_fullStr Early Response of Post-Fire Forest Treatments Across Four Iberian Ecoregions: Indicators to Maximize Its Effectiveness by Remote Sensing
title_full_unstemmed Early Response of Post-Fire Forest Treatments Across Four Iberian Ecoregions: Indicators to Maximize Its Effectiveness by Remote Sensing
title_sort Early Response of Post-Fire Forest Treatments Across Four Iberian Ecoregions: Indicators to Maximize Its Effectiveness by Remote Sensing
dc.creator.none.fl_str_mv Pérez-Romero, Javier|||0000-0002-3105-8956
Blanco-Cano, Laura|||0000-0003-1794-8087
Campo García, Antonio Dámaso Del|||0000-0002-5279-4215
Lucas-Borja, Manuel Esteban
Zema, Demetrio A.
Soria, Rocío
Miralles, Isabel
Fernández, Cristina
author Pérez-Romero, Javier|||0000-0002-3105-8956
author_facet Pérez-Romero, Javier|||0000-0002-3105-8956
Blanco-Cano, Laura|||0000-0003-1794-8087
Campo García, Antonio Dámaso Del|||0000-0002-5279-4215
Lucas-Borja, Manuel Esteban
Zema, Demetrio A.
Soria, Rocío
Miralles, Isabel
Fernández, Cristina
author_role author
author2 Blanco-Cano, Laura|||0000-0003-1794-8087
Campo García, Antonio Dámaso Del|||0000-0002-5279-4215
Lucas-Borja, Manuel Esteban
Zema, Demetrio A.
Soria, Rocío
Miralles, Isabel
Fernández, Cristina
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Ingeniería Hidráulica y Medio Ambiente
Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural
European Commission
Agencia Estatal de Investigación
Ministerio de Ciencia e Innovación
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Wildfires
Post-fire management
Vegetation indices
Restoration strategies
Fire severity
topic Wildfires
Post-fire management
Vegetation indices
Restoration strategies
Fire severity
description [EN] Remote sensing techniques that use spectral indices (SIs) are essential for monitoring vegetation recovery after wildfires. However, there is a critical gap in the comparability of SI responses across ecoregions due to ecological variability. In this study, a meta-analysis was conducted to evaluate the capacity of different SIs (GCI, MSI, NBR, NDVI, NDII, and EVI2) to reflect the effect of post-wildfire emergency works on early recovery of vegetation in four Spanish ecoregions. It compared vegetation regrowth between treated and untreated sites, identifying the most sensitive SI for monitoring this recovery. All indices except EVI2 detected significantly better recovery in treated areas; among these, GCI was the most sensitive and NDII the least. The effect of treatment on recovery measured through SI is influenced by site covariates (fire severity, physiography, post-fire action period, post-fire climate, and edaphic characteristics). Finally, random mixed models showed that annual precipitation lower than 700 mm, diurnal temperature over 21 degrees C, soils with finer texture, and water content under 33% are quantitative limits of the treatment effectiveness on vegetation recovery. Overall, the study highlighted the importance of immediate interventions after fires, especially in the first six months, and advocated context-specific management strategies based on fire severity, ecoregion, soil properties, and climate to optimize vegetation recovery.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-07-11
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/226256
url https://riunet.upv.es/handle/10251/226256
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023 PID2021-126946OB-I00 EVALUACION DE ESTRATEGIAS DE GESTION POST-INCENDIO PARA MEJORAR LA MULTIFUNCIONALIDAD DE ECOSISTEMAS FORESTALES MEDITERRANEOS AFECTADOS POR INCENDIOS
Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023 PID2021-127591OB-I00 BIOLOGIA Y CALIDAD DE SUELOS RESTAURADOS EN CANTERA DE TIERRAS SECA
European Commission https://doi.org/10.13039/501100000780 LIFE17 CCA%2FES%2F000063 Coupling water, fire and climate resilience with biomass production in Forestry to adapt watersheds to climate change
Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 RED2018-102719-T RED ESPAÑOLA DE SELVICULTURA ADAPTATIVA AL CAMBIO CLIMATICO
Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 CGL2017-86839-C3-2-R Incorporación de criterios eco-hidrológicos y de resiliencia frente a perturbaciones climáticas y del fuego en la planificación y gestión forestal de cuencas mediterráneas
Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 JDC2023-052350-I%2FAEI%2FFSE
Ministerio de Ciencia e Innovación http://dx.doi.org/10.13039/501100004837 TED2021-12945B-41
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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repository.mail.fl_str_mv
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spelling Early Response of Post-Fire Forest Treatments Across Four Iberian Ecoregions: Indicators to Maximize Its Effectiveness by Remote SensingPérez-Romero, Javier|||0000-0002-3105-8956Blanco-Cano, Laura|||0000-0003-1794-8087Campo García, Antonio Dámaso Del|||0000-0002-5279-4215Lucas-Borja, Manuel EstebanZema, Demetrio A.Soria, RocíoMiralles, IsabelFernández, CristinaWildfiresPost-fire managementVegetation indicesRestoration strategiesFire severity[EN] Remote sensing techniques that use spectral indices (SIs) are essential for monitoring vegetation recovery after wildfires. However, there is a critical gap in the comparability of SI responses across ecoregions due to ecological variability. In this study, a meta-analysis was conducted to evaluate the capacity of different SIs (GCI, MSI, NBR, NDVI, NDII, and EVI2) to reflect the effect of post-wildfire emergency works on early recovery of vegetation in four Spanish ecoregions. It compared vegetation regrowth between treated and untreated sites, identifying the most sensitive SI for monitoring this recovery. All indices except EVI2 detected significantly better recovery in treated areas; among these, GCI was the most sensitive and NDII the least. The effect of treatment on recovery measured through SI is influenced by site covariates (fire severity, physiography, post-fire action period, post-fire climate, and edaphic characteristics). Finally, random mixed models showed that annual precipitation lower than 700 mm, diurnal temperature over 21 degrees C, soils with finer texture, and water content under 33% are quantitative limits of the treatment effectiveness on vegetation recovery. Overall, the study highlighted the importance of immediate interventions after fires, especially in the first six months, and advocated context-specific management strategies based on fire severity, ecoregion, soil properties, and climate to optimize vegetation recovery.The authors received national and international funding through the following projects: SILVADAPT.NET (RED2018-102719-T), CEHYRFO-MED (CGL2017-86839-C3-2-R), and RESILIENTFORESTS (LIFE17 CCA/ES/000063), as well as MULTIFIRE (PID2021-126946OB-100), FIRESTORM (TED2021-12945B-41), BIOQUALIRES (PID2021-127591OB-i00) and JDC2023-052350-I/AEI/FSE+.MDPI AGDepartamento de Ingeniería Hidráulica y Medio AmbienteEscuela Técnica Superior de Ingeniería Agronómica y del Medio NaturalEuropean CommissionAgencia Estatal de InvestigaciónMinisterio de Ciencia e InnovaciónRepositorio Institucional de la Universitat Politècnica de València Riunet20252025-07-11journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/226256reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023 PID2021-126946OB-I00 EVALUACION DE ESTRATEGIAS DE GESTION POST-INCENDIO PARA MEJORAR LA MULTIFUNCIONALIDAD DE ECOSISTEMAS FORESTALES MEDITERRANEOS AFECTADOS POR INCENDIOSAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023 PID2021-127591OB-I00 BIOLOGIA Y CALIDAD DE SUELOS RESTAURADOS EN CANTERA DE TIERRAS SECAEuropean Commission https://doi.org/10.13039/501100000780 LIFE17 CCA%2FES%2F000063 Coupling water, fire and climate resilience with biomass production in Forestry to adapt watersheds to climate changeAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 RED2018-102719-T RED ESPAÑOLA DE SELVICULTURA ADAPTATIVA AL CAMBIO CLIMATICOAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 CGL2017-86839-C3-2-R Incorporación de criterios eco-hidrológicos y de resiliencia frente a perturbaciones climáticas y del fuego en la planificación y gestión forestal de cuencas mediterráneasAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 JDC2023-052350-I%2FAEI%2FFSEMinisterio de Ciencia e Innovación http://dx.doi.org/10.13039/501100004837 TED2021-12945B-41open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2262562026-06-13T07:49:27Z
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