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Carbon Sequestration Model Based on Decision Tree Regression and Logic Tree Model
Academic Journal of Environment & Earth Science
We established a carbon sequestration model including a decision tree regression model and a logic tree model. First, we used data from various regions of the world, selected ten indicators using climatic factors, geographical factors, and forest attribute factors, established a forest net productivity pre-diction model using the decision tree regression method, and then proposed the "logic tree". Then we proposed the concept of "logical tree", in which the whole forest is considered as one bigdoi:10.25236/ajee.2022.040306 fatcat:qncrnsfranhfhiogcbbve6afqq