Land Carbon Cycle Modeling: Matrix Approach, Data Assimilation, Ecological Forecasting, and Machine Learning

This new edition includes 7 new chapters on machine learning and its applications to carbon cycle research, on principles underlying carbon dioxide removal from the atmosphere, a contemporary active research and management issue, and on community infrastructure for ecological forecasting.