文献类型：期刊文献

中文题名：干旱胁迫下森林火灾受损程度研究

英文题名：Study on Forest Fire Damage Degrees under Drought Stress

作者：李常诚[1,3] 巨文珍[1,3] 杨盛扬[1,3] 彭泊林[1,3] 韦龙斌[1,3] 荚文[2] 李枫[1,3] 韩斐扬[1,3]

第一作者：李常诚

机构：[1]广西壮族自治区林业勘测设计院,广西南宁530011;[2]中国林业科学研究院资源信息研究所,北京100091;[3]自然资源部北部湾经济区自然资源监测评价工程技术创新中心,广西南宁530011

年份：2023

卷号：52

期号：5

起止页码：669-675

中文期刊名：广西林业科学

外文期刊名：Guangxi Forestry Science

收录：CSTPCD

基金：广西自筹经费林业科技项目(2023GXZCLK69);广西林业设计院自选科技项目(林勘科研[2022]01-03)。

语种：中文

中文关键词：干旱胁迫;森林火灾;受损程度;杉木林分

外文关键词：drought stress;forest fire;damage degree;Cunninghamia lanceolata stand

分类号：S762.1

摘要：受极端高温天气影响,全球近年来森林火灾频发。2022年我国南方地区遭遇1961年以来最严重的气象干旱,四川、湖南、江西和广西等地受持续高温干旱影响,森林火灾呈多发态势。以2022年桂林市全州县“10·17”森林火灾为例,基于哨兵2号和中巴地球资源卫星04A星3期遥感影像、无人机航拍影像、气象数据及森林火灾后的实地调查数据,通过分析气象条件、林分干旱胁迫程度和干旱胁迫对林分受害程度的影响,探讨林分干旱胁迫程度与火灾受损程度间的关系。结果表明,森林火灾发生前研究区受干旱胁迫影响明显;干旱胁迫对杉木(Cunninghamialanceolata)林分火灾受损程度影响较大,近50%的火烧迹地杉木林分遭受不同程度干旱胁迫;干旱胁迫加重各龄组杉木林分重度受害程度。基于遥感影像的NDVI值能准确反映林分受干旱胁迫程度;建议充分发挥遥感影像在火灾监测、火险评估和灾后恢复等方面的潜力和优势,结合气象数据,实现极端气候条件下火险的准确评估和预测,为火灾预防和应急决策提供科学依据。
Affected by extreme high weather,forest fires have occurred frequently in world in recent years.In 2022,southern regions of China encountered the worst meteorological drought since 1961.Sichuan,Hunan,Ji-angxi,Guangxi and other regions were affected by continuous high temperature and drought,and forest fires fre-quently occurred.Taking"10·17"forest fire in Quanzhou county,Guilin in 2022 as a case,based on 3 remote sensing images coming from Sentinel-2 and CBERS-04A,aerial images by unmanned aerial vehicles,meteoro-logical data and field survey data after forest fire,meteorological conditions,drought stress degrees of stands and effects of drought stress on damage degrees of stands were analyzed to explore relationships among drought stress degrees of stands and fire damage degrees.Results showed that study area was affected significantly by drought stress before forest fire.Drought stress had significant effects on fire damage degrees of Cunninghamia lanceolata stands.Nearly 50%of burned C.lanceolata stands suffered from different degrees of drought stress.Drought stress aggravated severe damages of C.lanceolata stands at different age groups.Normalized difference vegetation indexes based on remote sensing images could accurately reflect drought stress degrees of stands.Po-tentials and advantages of remote sensing images in fire monitoring,fire risk assessment and post-disaster re-covery should be fully utilized,and combined with meteorological data to realize accurate assessment and pre-diction of fire risk under extreme climate conditions,which could provide scientific basis for fire prevention and emergency decision-making.