Underestimation of soil organic carbon by global spatially explicit soil datasets in Chinese urban greenspaces
文献类型：期刊论文
| 作者 | Zhou, Zidong5,6; Xu, Yiming6; Hogan, J. Aaron4; Dong, Shikui6; Wang, Yike5; Mao, Qizheng3; Liu, Fayong2,5; Liao, Cuijuan5; Qin, Yunmeng6; Che, Yunling6 |
| 刊名 | JOURNAL OF CLEANER PRODUCTION
 |
| 出版日期 | 2026-04-22 |
| 卷号 | 557页码:148234 |
| 关键词 | Urban carbon sequestration Urban greenspaces Urbanization Meta-analysis Random forest model SHAP analysis |
| ISSN号 | 0959-6526 |
| DOI | 10.1016/j.jclepro.2026.148234 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Urban greenspace soil organic carbon (SOC) provides important ecosystem services essential for the urban populations. However, the distribution, stocks, and drivers of SOC change in most urban greenspaces are relatively unknown compared with those of natural ecosystems. To address this knowledge gap, we utilized 744 surface SOC measurements (0-30 cm depth) collected from urban greenspaces across 148 cities in China to investigate the distribution and drivers of surface SOC. Our analysis revealed weak relationships between in-field SOC measurements and estimates derived from widely used global SOC datasets (e.g., SoilGrids250m v2.0 and HWSD v2.0), underscoring the necessity for improved characterization of SOC distribution and its determinants in Chinese urban greenspaces. Using Random Forest (RF) modeling and SHapley Additive exPlanations (SHAP), we found that the enhanced vegetation index (EVI), mean annual precipitation (MAP), night-time light density (NLD), and population density (POP) were the most important predictors of surface SOC in Chinese urban greenspaces. RF model-predicted surface SOC in Chinese urban greenspaces was higher in moderately developed cities than in underdeveloped or highly developed cities. SOC increased with EVI, but displayed a hump-shaped trend with MAP, NLD, and POP. Spatial prediction of SOC stocks showed that there were 0.21 (0.20-0.22, 95% confidence intervals) Pg C in urban greenspaces, which was 17% and 50% greater than that estimated by SoilGrids250m v2.0 (0.18 Pg C) and HWSD v2.0 (0.14 Pg C), respectively. The study provides critical data and model-based insights that can strengthen urban carbon assessments and support urban greenspaces management in China. |
| URL标识 | 查看原文 |
| WOS关键词 | TERRESTRIAL ECOSYSTEMS ; LAND-USE ; STOCKS ; STORAGE |
| WOS研究方向 | Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001743900800001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221530]  |
| 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, Yiming; Huang, Yuanyuan |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China; 3.Henan Univ Econ & Law, Sch Urban & Rural Planning, Zhengzhou, Peoples R China; 4.Colorado State Univ, Dept Biol, Ft Collins, CO USA; 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China; 6.Beijing Forestry Univ, Sch Grassland Sci, Beijing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Zhou, Zidong,Xu, Yiming,Hogan, J. Aaron,et al. Underestimation of soil organic carbon by global spatially explicit soil datasets in Chinese urban greenspaces[J]. JOURNAL OF CLEANER PRODUCTION,2026,557:148234. |
| APA | Zhou, Zidong.,Xu, Yiming.,Hogan, J. Aaron.,Dong, Shikui.,Wang, Yike.,...&Huang, Yuanyuan.(2026).Underestimation of soil organic carbon by global spatially explicit soil datasets in Chinese urban greenspaces.JOURNAL OF CLEANER PRODUCTION,557,148234. |
| MLA | Zhou, Zidong,et al."Underestimation of soil organic carbon by global spatially explicit soil datasets in Chinese urban greenspaces".JOURNAL OF CLEANER PRODUCTION 557(2026):148234. |
入库方式： OAI收割
来源：地理科学与资源研究所
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