Resumen: The assessment of fire effects in Aleppo pine forests is crucial for guiding the recovery of
burned areas. This study presents a methodology using UAV-LiDAR data to quantify malleability in
three burned areas (1970, 1995, 2008) through the statistical analysis of tree height and Profile Area
Change (PAC) metrics. Significant differences in vegetation height (99th percentile) among the three
fires, with specific maximum absolute differences (D) depending on the fire year, have been identified.
Positive PAC values in 2008 indicate deeper LiDAR penetration, resulting in lower regeneration,
while values close to 0 in 1970 suggest more uniform regeneration. The use of LiDAR metrics and
uni-temporal sampling between burned sectors and controls aids in understanding community
resilience and identifying recovery stages in P. halepensis forests. Idioma: Inglés DOI: 10.3390/ECRS2023-15855 Año: 2024 Publicado en: Environmental sciences proceedings 29, 1 (2024), [6 pp.] ISSN: 2673-4931 Financiación: info:eu-repo/grantAgreement/ES/MCIU/FPU18-05027 Financiación: info:eu-repo/grantAgreement/ES/MICINN-AEI/10.13039/501100011033 Tipo y forma: Artículo (Versión definitiva) Área (Departamento): Área Geografía Física (Dpto. Geograf. Ordenac.Territ.) Área (Departamento): Área Análisis Geográfico Regi. (Dpto. Geograf. Ordenac.Territ.)