Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 6
Articles | Volume 18, issue 6
https://doi.org/10.5194/essd-18-4451-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-4451-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 6
Data description article
 | 
30 Jun 2026
Data description article |  | 30 Jun 2026

High-resolution, multi-depth mapping of soil bulk density and pH in China's forests using machine learning

Jizhen Chen, Xin Zhang, Zihao Fan, Tao Liu, Wenfa Xiao, Qiwu Sun, Xiangyang Sun, and Zhilin Huang

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Short summary
Forest soil compactness and acidity are closely linked to carbon storage, nutrient cycling, and environmental change. We combined 4356 forest soil profiles and 11 873 samples with environmental data and computer models to map these properties to one meter deep across China's forests. The maps reveal clear regional and depth patterns and include confidence estimates, providing a national baseline for tracking soil health, improving carbon estimates, and guiding forest management.
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