SOIL
SOIL
SOIL
Articles | Volume 9, issue 1
Articles | Volume 9, issue 1
https://doi.org/10.5194/soil-9-21-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-9-21-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 1
Original research article
 | 
11 Jan 2023
Original research article |  | 11 Jan 2023

Shapley values reveal the drivers of soil organic carbon stock prediction

Alexandre M. J.-C. Wadoux, Nicolas P. A. Saby, and Manuel P. Martin

Viewed

Total article views: 2,749 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,111 583 55 2,749 145 43 49
  • HTML: 2,111
  • PDF: 583
  • XML: 55
  • Total: 2,749
  • Supplement: 145
  • BibTeX: 43
  • EndNote: 49
Views and downloads (calculated since 18 Oct 2022)
Cumulative views and downloads (calculated since 18 Oct 2022)

Viewed (geographical distribution)

Total article views: 2,749 (including HTML, PDF, and XML) Thereof 2,591 with geography defined and 158 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Jul 2024
Download
Short summary
We introduce Shapley values for machine learning model interpretation and reveal the local and global controlling factors of soil organic carbon (SOC) stocks. The method enables spatial analysis of the important variables. Vegetation and topography determine much of the SOC stock variation in mainland France. We conclude that SOC stock variation is complex and should be interpreted at multiple levels.
Read more