Global Soil Respiration Estimation Based On Ecological Big Data And Machine Learning Model

This article discusses the use of machine learning techniques to estimate global soil respiration values for 2021. The random forest method was found to be the most suitable approach, with an estimated global value of 107 Pg C yr-1. The study also explored the relationship between soil respiration and environmental variables, showing the potential of machine learning for large-scale estimation problems.