中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
  4. 资源与环境信息系统国家重点实验室
  5. 外文论文
Soil moisture active passive data improve sensitivity assessment of permafrost active layer thickness to wildfire disturbance

文献类型：期刊论文

作者Jiang, Xiao2,3; Cai, Hongyan2; Yang, Xiaohuan1,2
刊名GLOBAL AND PLANETARY CHANGE
出版日期2025-11-01
卷号254页码:105030
关键词Active layer thickness Wildfires Soil moisture active passive Sensitivity assessment
ISSN号0921-8181
DOI10.1016/j.gloplacha.2025.105030
产权排序1
文献子类Article
英文摘要Wildfires have intensified permafrost degradation across the pan-Arctic region, underscoring the urgent need for sensitivity assessments of the active layer thickness (ALT) to improve permafrost carbon emission estimates. However, the limited availability of soil parameters hinders simulations of heat transfer processes. Soil moisture active passive (SMAP) data will likely fill these gaps. We utilized the Kudryavtsev model to simulate the volumetric water content-based ALT (VWC-ALT) and SMAP-based ALT (SMAP-ALT) and compared their sensitivities to wildfires. The SMAP-ALT exhibits significant sensitivity compared with the VWC-ALT. Regions with high SMAP-ALT heterogeneity were associated with wildfires, facilitating the differentiation between burned and unburned areas while enabling the characterization of temporal changes and variations in influencing factors during prefire, fire, and postfire periods. These results highlight that SMAP data enhance sensitivity assessment of the ALT concerning wildfires. This approach also holds significant potential for reflecting other environmental disturbances associated with soil moisture, which is crucial for accurately estimating permafrost carbon emissions.
URL标识查看原文
WOS关键词ARCTIC TUNDRA ; CLIMATE ; TEMPERATURE ; VARIABILITY ; LANDSCAPE ; PRODUCT ; REGION
WOS研究方向Physical Geography ; Geology
语种英语
WOS记录号WOS:001662778300001
出版者ELSEVIER
源URL[http://ir.igsnrr.ac.cn/handle/311030/221071]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Cai, Hongyan
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China;
3.Guizhou Acad Sci, Inst Mt Resource Guizhou Prov, Guiyang 550000, Peoples R China
推荐引用方式
GB/T 7714		 Jiang, Xiao,Cai, Hongyan,Yang, Xiaohuan. Soil moisture active passive data improve sensitivity assessment of permafrost active layer thickness to wildfire disturbance[J]. GLOBAL AND PLANETARY CHANGE,2025,254:105030.
APA Jiang, Xiao,Cai, Hongyan,&Yang, Xiaohuan.(2025).Soil moisture active passive data improve sensitivity assessment of permafrost active layer thickness to wildfire disturbance.GLOBAL AND PLANETARY CHANGE,254,105030.
MLA Jiang, Xiao,et al."Soil moisture active passive data improve sensitivity assessment of permafrost active layer thickness to wildfire disturbance".GLOBAL AND PLANETARY CHANGE 254(2025):105030.

入库方式： OAI收割

来源：地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。