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. 生态系统研究网络观测与模拟重点实验室
  5. 外文论文
Size, change, and trajectory of the topsoil organic carbon stock in Chinese grasslands

文献类型：期刊论文

作者Kong, Jinchao2,3; Yu, Cong2,3; Xu, Li3; Li, Ying1
刊名CATENA
出版日期2026
卷号262页码:109651
关键词Machine learning Topsoil Soil organic carbon stock Climate change
ISSN号0341-8162
DOI10.1016/j.catena.2025.109651
产权排序1
文献子类Article
英文摘要Protecting and enhancing the carbon (C) sink capacity of soil grasslands is essential for mitigating global climate change. However, high uncertainty remains in estimating soil organic carbon (SOC) stocks because of data sources and methodological variations. We utilized machine learning (ML) methods to estimate the SOC stock and its changes in Chinese grasslands using topsoil (0-20 cm) data from Chinese grassland measured during the 1980s and 2010s. We first quantitatively compared the estimation accuracies of the six predictive methods and observed that the Random Forest Ordinary Kriging Model achieved accurate grassland SOC estimations, with R-2 values of 0.66. The results showed that the average SOC density of topsoil was 3.73 +/- 0.19 and 4.17 +/- 0.18 kg C m(-2) in the 1980s and 2010s, respectively, representing an increase of 11.68%. Despite a 1.60% decrease in the grassland area, the topsoil continued to function as a C sink, with the SOC stock increasing from 11.38 +/- 0.22 Pg C in the 1980s to 12.51 +/- 0.17 Pg C in the 2010s, representing a 9.90% increase and an average C sequestration rate of 37.54 +/- 3.52 Tg C yr(-1). Climate change has significant effects on the grassland surface SOC density. Sensitivity analysis indicates that the SOC density would decrease significantly by similar to 17.69% under high C emissions (shared socioeconomic pathway 5-8.5 scenario) in 2100. The estimation of surface SOC stock and C sequestration rates in grasslands was optimized in this study by refining data sources and estimation methods. Additionally, subregional estimations provide references for future grassland management and C sink protection.
URL标识查看原文
WOS关键词SOIL CARBON ; CLIMATE-CHANGE ; TERRESTRIAL ECOSYSTEMS ; NORTHERN CHINA ; STORAGE ; 1980S ; VEGETATION ; SEQUESTRATION ; TEMPERATURE ; MECHANISMS
WOS研究方向Geology ; Agriculture ; Water Resources
语种英语
WOS记录号WOS:001625295900001
出版者ELSEVIER
源URL[http://ir.igsnrr.ac.cn/handle/311030/219783]  
专题生态系统网络观测与模拟院重点实验室_外文论文
通讯作者Xu, Li
作者单位1.Beijing Forestry Univ, Sch Grassland Sci, Beijing 100083, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China;
3.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;
推荐引用方式
GB/T 7714		 Kong, Jinchao,Yu, Cong,Xu, Li,et al. Size, change, and trajectory of the topsoil organic carbon stock in Chinese grasslands[J]. CATENA,2026,262:109651.
APA Kong, Jinchao,Yu, Cong,Xu, Li,&Li, Ying.(2026).Size, change, and trajectory of the topsoil organic carbon stock in Chinese grasslands.CATENA,262,109651.
MLA Kong, Jinchao,et al."Size, change, and trajectory of the topsoil organic carbon stock in Chinese grasslands".CATENA 262(2026):109651.

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。