Four-dimensional modelling reveals decline in cropland soil pH during last four decades in China’s Mollisols region

The degradation of fertile Mollisols due to unsustainable management practices poses serious threats to climate change mitigation and food security. Yet, the lack of four-dimensional (4D) dynamic information (i.e., space, depth, and time) on cropland soil pH hinders sustainable soil management. To f...

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Hlavní autoři:	Jian Chen, Enze Xie, Yuxuan Peng, Guojing Yan, Jun Jiang, Wenyou Hu, Yuguo Zhao, Khalid Saifullah Khan, Yongcun Zhao
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2025-01-01
Edice:	Geoderma
Témata:	Automatic machine learning Four-dimensional modelling Mollisols Soil pH Climate change
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S0016706124003641
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