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![Importance of Terrain and Climate for Predicting Soil Organic Carbon Is Highly Variable across Local to Continental Scales](/sites/cse.umn.edu/files/styles/folwell_third/public/Tan-et-al-2024-terrain-and-climate-for-predicting-soil-organic-carbon_Page_01.png.webp?itok=BFywxyw7)
Importance of Terrain and Climate for Predicting Soil Organic Carbon Is Highly Variable across Local to Continental Scales
June 21, 2024 | Environmental Science & Technology | Vol 58, Issue 26
Tianhong Tan, Giulio Genova, Gerard B. M. Heuvelink, Johannes Lehmann, Laura Poggio, Dominic Woolf, and Fengqi You
Soil organic carbon (SOC) plays a vital role in global carbon cycling and sequestration, underpinning the need for a comprehensive understanding of its distribution and controls. This study explores the importance of various covariates on SOC spatial distribution at both local (up to 1.25 km) and continental (USA) scales using a deep learning approach.
Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems
January 08, 2024, Nature Communications
Licheng Liu, Wang Zhou, Kaiyu Guan, Bin Peng, Shaoming Xu, Jinyun Tang, Qing Zhu, Jessica Till, Xiaowei Jia, Chongya Jiang, Sheng Wang, Ziqi Qin, Hui Kong, Robert Grant, Symon Mezbahuddin, Vipin Kumar & Zhenong Jin