{"title":"Spatial Patterns and Key Drivers of Soil Organic Carbon in Northeastern China's Discontinuous Permafrost Zone","authors":"Haoran Man;Xingfeng Dong;Chao Liu;Xiaodong Wu;Miao Li;Zhichao Zheng;Qi Jiang;Shuying Zang","doi":"10.1109/JSTARS.2025.3541197","DOIUrl":null,"url":null,"abstract":"Based on field survey data of soil organic carbon (SOC) content and remote sensing datasets including climate, vegetation and terrain, this article analyzed the controlling factors of SOC and its spatial distribution in the 0–20 cm layer of the Huma River Basin in Northeastern China using the geographically weighted regression (GWR) model and the ordinary least squares (OLS) regression model. The results show that the SOC content in this area ranged from 13.2 to 167.2 g/kg, the GWR model outperformed the OLS model, and the GWR model is a useful tool for mapping SOC in discontinuous permafrost regions. The results further show that SOC was negatively correlated with air temperature and slope, but positively correlated with precipitation and elevation. The spatial consistency of SOC with the topography in this basin indicated an important role of the latter in controlling the SOC distribution. In addition, climate warming likely promotes SOC mineralization, while wetting favors the preservation of SOC in the southern boundary of high-latitudinal permafrost regions.","PeriodicalId":13116,"journal":{"name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","volume":"18 ","pages":"6738-6745"},"PeriodicalIF":4.7000,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10904459","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10904459/","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Based on field survey data of soil organic carbon (SOC) content and remote sensing datasets including climate, vegetation and terrain, this article analyzed the controlling factors of SOC and its spatial distribution in the 0–20 cm layer of the Huma River Basin in Northeastern China using the geographically weighted regression (GWR) model and the ordinary least squares (OLS) regression model. The results show that the SOC content in this area ranged from 13.2 to 167.2 g/kg, the GWR model outperformed the OLS model, and the GWR model is a useful tool for mapping SOC in discontinuous permafrost regions. The results further show that SOC was negatively correlated with air temperature and slope, but positively correlated with precipitation and elevation. The spatial consistency of SOC with the topography in this basin indicated an important role of the latter in controlling the SOC distribution. In addition, climate warming likely promotes SOC mineralization, while wetting favors the preservation of SOC in the southern boundary of high-latitudinal permafrost regions.
期刊介绍:
The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.