Integrating omics, machine learning, and process-based land surface model to predict environmental feedbacks of microbial functions and its implication for soil carbon emission

Song, Yang

Integrating omics, machine learning, and process-based land surface model to predict environmental feedbacks of microbial functions and its implication for soil carbon emission

Yang Song¹, Changpeng Fan¹ and Xiaojuan Yang², (1)University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (2)Oak Ridge National Laboratory, Environmental Sciences Division and Climate Change Science Institute, Oak Ridge, United States