000148198 001__ 148198
000148198 005__ 20250114175434.0
000148198 0247_ $$2doi$$a10.3390/rs16244738
000148198 0248_ $$2sideral$$a141684
000148198 037__ $$aART-2024-141684
000148198 041__ $$aeng
000148198 100__ $$0(orcid)0009-0002-8815-660X$$aLarraz-Juan, Sergio$$uUniversidad de Zaragoza
000148198 245__ $$aA Methodological Approach for Assessing the Post-Fire Resilience of Pinus halepensis Mill. Plant Communities Using UAV-LiDAR Data Across a Chronosequence
000148198 260__ $$c2024
000148198 5060_ $$aAccess copy available to the general public$$fUnrestricted
000148198 5203_ $$aThe 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.
000148198 536__ $$9info:eu-repo/grantAgreement/ES/MCIN-AEI/PID2020-118886RB-I00-AEI-10.13039-501100011033$$9info:eu-repo/grantAgreement/ES/MCIU/FPU18-05027$$9info:eu-repo/grantAgreement/ES/MCIU/FPU22-04489
000148198 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000148198 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000148198 700__ $$0(orcid)0000-0003-4831-4060$$aPérez-Cabello, Fernando$$uUniversidad de Zaragoza
000148198 700__ $$0(orcid)0000-0002-9123-304X$$aHoffrén Mansoa, Raúl$$uUniversidad de Zaragoza
000148198 700__ $$0(orcid)0000-0002-3359-6213$$aIranzo Cubel, Cristian$$uUniversidad de Zaragoza
000148198 700__ $$0(orcid)0000-0001-7403-1764$$aMontorio, Raquel$$uUniversidad de Zaragoza
000148198 7102_ $$13006$$2435$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Geografía Humana
000148198 7102_ $$13006$$2010$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Análisis Geográfico Regi.
000148198 773__ $$g16, 24 (2024), 4738 [26 pp.]$$pRemote sens. (Basel)$$tRemote Sensing$$x2072-4292
000148198 8564_ $$s10101269$$uhttps://zaguan.unizar.es/record/148198/files/texto_completo.pdf$$yVersión publicada
000148198 8564_ $$s2760697$$uhttps://zaguan.unizar.es/record/148198/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000148198 909CO $$ooai:zaguan.unizar.es:148198$$particulos$$pdriver
000148198 951__ $$a2025-01-14-15:49:20
000148198 980__ $$aARTICLE