Articles | Volume 18, issue 6
https://doi.org/10.5194/essd-18-4451-2026
https://doi.org/10.5194/essd-18-4451-2026
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

Data sets

High-resolution maps of forest soil bulk density and pH across China at 90-m resolution Jizhen Chen and Zhilin Huang https://doi.org/10.57760/sciencedb.25375

Model code and software

ChinaForestSoil-DSM Jizhen Chen https://doi.org/10.5281/zenodo.20422720

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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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