000124429 001__ 124429
000124429 005__ 20241125101135.0
000124429 0247_ $$2doi$$a10.1007/s11676-023-01599-1
000124429 0248_ $$2sideral$$a132866
000124429 037__ $$aART-2023-132866
000124429 041__ $$aeng
000124429 100__ $$aBalde, Bountouraby
000124429 245__ $$aThe relationship between fire severity and burning efficiency for estimating wildfire emissions in Mediterranean forests
000124429 260__ $$c2023
000124429 5060_ $$aAccess copy available to the general public$$fUnrestricted
000124429 5203_ $$aForests are exposed to changing climatic conditions reflected by increasing drought and heat waves that increase the risk of wildfire ignition and spread. Climatic variables such as rain and wind as well as vegetation structure, land configuration and forest management practices are all factors that determine the burning potential of wildfires. The assessment of emissions released by vegetation combustion is essential for determining greenhouse gases and air pollutants. The estimation of wildfire-related emissions depends on factors such as the type and fraction of fuel (i.e., live biomass, ground litter, dead wood) consumed by the fire in a given area, termed the burning efficiency. Most approaches estimate live burning efficiency from optical remote sensing data. This study used a data-driven method to estimate live burning efficiency in a Mediterranean area. Burning severity estimations from Landsat imagery (dNBR), which relate to fuel consumption, and quantitative field data from three national forest inventory data were combined to establish the relationship between burning severity and live burning efficiency. Several proxies explored these relationships based on dNBR interval classes, as well as regression models. The correlation results between live burning efficiency and dNBR for conifers (R = 0.63) and broad-leaved vegetation (R = 0.95) indicated ways for improving emissions estimations. Median estimations by severity class (low, moderate-low, moderate-high, and high) are provided for conifers (0 .44 − 0.81) and broad-leaves (0.64 − 0.86), and regression models for the live fraction of the tree canopy susceptible to burning (< 2 cm, 2 − 7 cm, > 7 branches, and leaves). The live burning efficiency values by severity class were higher than previous studies.
000124429 536__ $$9info:eu-repo/grantAgreement/ES/MICINN/PID2020-116556RA-I00
000124429 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000124429 590__ $$a3.4$$b2023
000124429 592__ $$a0.708$$b2023
000124429 591__ $$aFORESTRY$$b9 / 89 = 0.101$$c2023$$dQ1$$eT1
000124429 593__ $$aForestry$$c2023$$dQ1
000124429 594__ $$a7.3$$b2023
000124429 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000124429 700__ $$aVega-Garcia, Cristina
000124429 700__ $$aGelabert, Pere Joan
000124429 700__ $$aAmeztegui, Aitor
000124429 700__ $$0(orcid)0000-0002-0477-0796$$aRodrigues, Marcos$$uUniversidad de Zaragoza
000124429 7102_ $$13006$$2010$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Análisis Geográfico Regi.
000124429 773__ $$g34 (2023), 1195-1206$$pJ. For. Res.$$tJOURNAL OF FORESTRY RESEARCH$$x1007-662X
000124429 8564_ $$s1452280$$uhttps://zaguan.unizar.es/record/124429/files/texto_completo.pdf$$yVersión publicada
000124429 8564_ $$s2420412$$uhttps://zaguan.unizar.es/record/124429/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000124429 909CO $$ooai:zaguan.unizar.es:124429$$particulos$$pdriver
000124429 951__ $$a2024-11-22-12:00:30
000124429 980__ $$aARTICLE