Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 7
Articles | Volume 17, issue 7
https://doi.org/10.5194/essd-17-3375-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-3375-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 7
Data description paper
 | 
14 Jul 2025
Data description paper |  | 14 Jul 2025

Global patterns of soil organic carbon distribution in the 20–100 cm soil profile for different ecosystems: a global meta-analysis

Haiyan Wang, Tingyao Cai, Xingshuai Tian, Zhong Chen, Kai He, Zihan Wang, Haiqing Gong, Qi Miao, Yingcheng Wang, Yiyan Chu, Qingsong Zhang, Minghao Zhuang, Yulong Yin, and Zhenling Cui

Viewed

Total article views: 3,983 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,147 451 385 3,983 171 88 136
  • HTML: 3,147
  • PDF: 451
  • XML: 385
  • Total: 3,983
  • Supplement: 171
  • BibTeX: 88
  • EndNote: 136
Views and downloads (calculated since 15 Jul 2024)
Cumulative views and downloads (calculated since 15 Jul 2024)

Viewed (geographical distribution)

Total article views: 3,983 (including HTML, PDF, and XML) Thereof 3,852 with geography defined and 131 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Nov 2025
Download
Short summary
Accurately quantifying the distribution of soil profile  SOC (soil organic carbon) stocks is crucial for carbon sequestration and mitigation. The detailed spatial subsoil SOC data are the scientific basis for environmental protection, as well as for the development of Earth system models. Based on multiple environmental variables and soil profile data, this study used machine learning approaches to evaluate  the SOC stocks and their spatial distribution at a depth interval of 20–100 cm in various ecosystems.
Read more
Share
Altmetrics
Final-revised paper
Preprint