A Methodological Approach for Assessing the Post-Fire Resilience of Pinus halepensis Mill. Plant Communities Using UAV-LiDAR Data Across a Chronosequence
Resumen: The assessment of fire effects in Aleppo pine forests is crucial for guiding the recovery of burnt areas. This study presents a methodology using UAV-LiDAR data to quantify malleability and elasticity in four burnt areas (1970, 1995, 2008 and 2015) through the statistical analysis of different metrics related to height structure and diversity (Height mean, 99th percentile and Coefficient of Variation), coverage, relative shape and distribution strata (Canopy Cover, Canopy Relief Ratio and Strata Percent Coverage), and canopy complexity (Profile Area and Profile Area Change). In general terms, malleability decreases over time in forest ecosystems that have been affected by wildfires, whereas elasticity is higher than what has been determined in previous studies. However, a particular specificity has been detected from the 1995 fire, so we can assume that there are other situational factors that may be affecting ecosystem resilience. LiDAR metrics and uni-temporal sampling between burnt sectors and control aids are used to understand community resilience and to identify the different recovery stages in P. halepensis forests.
Idioma: Inglés
DOI: 10.3390/rs16244738
Año: 2024
Publicado en: Remote Sensing 16, 24 (2024), 4738 [26 pp.]
ISSN: 2072-4292

Financiación: info:eu-repo/grantAgreement/ES/MCIN-AEI/PID2020-118886RB-I00-AEI-10.13039-501100011033
Financiación: info:eu-repo/grantAgreement/ES/MCIU/FPU18-05027
Financiación: info:eu-repo/grantAgreement/ES/MCIU/FPU22-04489
Tipo y forma: Article (Published version)
Área (Departamento): Área Geografía Humana (Dpto. Geograf. Ordenac.Territ.)
Área (Departamento): Área Análisis Geográfico Regi. (Dpto. Geograf. Ordenac.Territ.)


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Este artículo se encuentra en las siguientes colecciones:
Articles > Artículos por área > Geografía Física Geografía Humana
Articles > Artículos por área > Análisis Geográfico Regional



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