Fire Vulnerability, Resilience, and Recovery Rates of Mediterranean Pine Forests Using a 33-Year Time Series of Satellite Imagery

Peña Molina, Esther ORCID: https://orcid.org/0000-0001-9962-9914, Moya Navarro, Daniel ORCID: https://orcid.org/0000-0002-1909-1200, Marino del Amo, Eva ORCID: https://orcid.org/0000-0002-2397-5543, Tomé Morán, José Luis ORCID: https://orcid.org/0000-0003-2298-9115, Fajardo Cantos, Álvaro ORCID: https://orcid.org/0000-0001-9966-1869, González Romero, Javier ORCID: https://orcid.org/0000-0002-0065-5838, Lucas Borja, Manuel Esteban ORCID: https://orcid.org/0000-0001-6270-8408 and Heras Ibáñez, Jorge de las ORCID: https://orcid.org/0000-0003-2374-7097 (2024). Fire Vulnerability, Resilience, and Recovery Rates of Mediterranean Pine Forests Using a 33-Year Time Series of Satellite Imagery. "Remote Sensing", v. 16 (n. 10); ISSN 2072-4292. https://doi.org/10.3390/rs16101718.

Descripción

Título: Fire Vulnerability, Resilience, and Recovery Rates of Mediterranean Pine Forests Using a 33-Year Time Series of Satellite Imagery
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Remote Sensing
Fecha: 13 Mayo 2024
ISSN: 2072-4292
Volumen: 16
Número: 10
Materias:
ODS:
Palabras Clave Informales: Cloud computing; forest management; Google Earth Engine; remote sensing; wildfires
Escuela: E.T.S.I. Montes, Forestal y del Medio Natural (UPM)
Departamento: Ingeniería y Gestión Forestal y Ambiental
Licencias Creative Commons: Reconocimiento

Texto completo

[thumbnail of 10302921.pdf] PDF (Portable Document Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (7MB)

Resumen

The modification of fire regimes and their impact on vegetation recovery, soil properties, and fuel structure are current key research areas that attempt to identify the thresholds of vegetation's susceptibility to wildfires. This study aimed to evaluate the vulnerability of Mediterranean pine forests ('Pinus halepensis' Mill. and 'Pinus pinaster' Aiton) to wildfires, analyzing two major forest fires that occurred in Yeste (Spain) in 1994 and 2017, affecting over 14,000 and 3.200 hectares, respectively. Four recovery regions were identified based on fire severity-calculated using the delta Normalized Burn Ratio (dNBR) index-and recurrence: areas with high severity in 2017 but not in 1994 (UB94-HS17), areas with high severity in 1994 but not in 2017 (HS94-UB17), areas with high severity in both fires (HS94-HS17), and areas unaffected by either fire (UB94-UB17). The analysis focused on examining the recovery patterns of three spectral indices-the Normalized Difference Vegetation Index (NDVI), Normalized Moisture Index (NDMI), and Normalized Burn Ratio (NBR)-using the Google Earth Engine platform from 1990 to 2023. Additionally, the Relative Recovery Indicator (RRI), the Ratio of Eighty Percent (R80P), and the Year-on-Year average (YrYr) metrics were computed to assess the spectral recovery rates by region. These three spectral indices showed similar dynamic responses to fire. However, the Mann-Kendall and unit root statistical tests revealed that the NDVI and NDMI exhibited distinct trends, particularly in areas with recurrence (HS94-HS17). The NDVI outperformed the NBR and NDMI in distinguishing variations among regions. These results suggest accelerated vegetation spectral regrowth in the short term. The Vegetation Recovery Capacity After Fire (VRAF) index showed values from low to moderate, while the Vulnerability to Fire (V2FIRE) index exhibited values from medium to high across all recovery regions. These findings enhance our understanding of how vegetation recovers from fire and how vulnerable it is to fire.

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
Gobierno de España
RTA2017-0042-C05-05
VIS4FIRE
Sin especificar
Integrated vulnerability of forest systems to wildfire: implications for forest management tools

Más información

ID de Registro: 89850
Identificador DC: https://oa.upm.es/89850/
Identificador OAI: oai:oa.upm.es:89850
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/10302921
Identificador DOI: 10.3390/rs16101718
URL Oficial: https://www.mdpi.com/2072-4292/16/10/1718
Depositado por: iMarina Portal Científico
Depositado el: 10 Jul 2025 10:10
Ultima Modificación: 10 Jul 2025 10:10