Estimation of actual carbon dioxide removal in burned forests using satellite data:A case study in South Korea  

作　　者：Hanna LEE Gihong KIM 

机构地区：[1]Institute for Disaster Prevention,Gangneung-Wonju National University,Gangneung,25457,South Korea [2]Department of Civil Engineering,Gangneung-Wonju National University,Gangneung,25457,South Korea

出　　处：《Journal of Mountain Science》2023年第4期1051-1060,共10页山地科学学报（英文）

基　　金：supported by the Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(2021R1A6A1A03044326,2017R1D1A1B06036077)。

摘　　要：With the increasing impact of climate change,carbon emissions and removals have become major issues.Forests are major carbon pools,and forest fires are an essential part of the carbon cycle.This study introduces a model for estimating the detailed actual CO_(2)removal in burned forests using burn severity and tree survivability.Actual CO_(2)removal was estimated from empirical yield tables without using the standard carbon removal provided by the national inventory.The primary CO_(2)calculation method followed the guidelines of the International Panel on Climate Change.The burn severity was mapped using Sentinel-2 multispectral instrument data,and the survivability of each forest type was estimated according to burn severity.The survivability was applied to the pre-fire CO_(2)removal of each forest to estimate post-fire CO_(2)removal.In our case study,the burned forest area was 1,034 ha,and the CO_(2)removal before the fire was 8,615.3t/year.After the fire,removal decreased by 81.2%to 1,618.4 t/yr.In particular,the decrease in coniferous forests was high,more than 86%.The lack of survivability data on burned trees was a major limitation of our study.Systematically accumulating field monitoring data of post-fire forests will be necessary for future research and could serve as a reference for devising immediate countermeasures against forest fires.

关 键 词：Forest fire CO_(2)removal Carbon emission Tree survivability Remote sensing Satellite data 

分 类 号：P467[天文地球—大气科学及气象学] X16[环境科学与工程—环境科学]