Using causal analysis and machine learning to evaluate the CO<sub>2</sub> fertilization of global photosynthesis

Kang, Yanghui

Using causal analysis and machine learning to evaluate the CO₂ fertilization of global photosynthesis

Yanghui Kang¹, Maoya Bassiouni¹, Max Gaber^1,2, Xinchen Lu^1,3 and Trevor F Keenan^1,3, (1)University of California, Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, United States, (2)University of Copenhagen, Department of Geosciences and Natural Resource Management, Copenhagen, Denmark, (3)Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, Berkeley, United States

Using causal analysis and machine learning to evaluate the CO2 fertilization of global photosynthesis

Using causal analysis and machine learning to evaluate the CO₂ fertilization of global photosynthesis