The relationship between fire severity and burning efficiency for estimating wildfire emissions in Mediterranean forests  

作　　者：Bountouraby Balde Cristina Vega-Garcia Pere Joan Gelabert Aitor Ameztegui Marcos Rodrigues 

机构地区：[1]Department of Agriculture and Forest Engineering,University of Lleida,Av.Alcalde Rovira Roure,191,25198 Lleida,Spain [2]Department of Geography and Land Management,University of Zaragoza,Pedro Cerbuna 12,50009 Saragossa,Spain

出　　处：《Journal of Forestry Research》2023年第5期1195-1206,共12页林业研究（英文版）

基　　金：the CRUE-CSIC agreement with Springer Nature;partially funded by project FIREPATHS (PID2020-116556RA-I00);supported by the Spanish Ministry of Science and Innovation;by project CLIMARK (LIFE16 CCM/ES/000065,supported by the LIFE Climate Change Mitigation EU program);Bountouraby Balde received a predoctoral grant from the University of Lleida。

摘　　要：Forests 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 Lands at 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 regres sion 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.

关 键 词：Forest wildfires EMISSIONS Greenhouse gases Satellite images 

分 类 号：S762.3[农业科学—森林保护学]