Abstract

Firstly, a model for measuring carbon sequestration is established based on vegetation, soil and forest products. Due to the influence of different forest geographical characteristics, climate and tree growth cycle, the model is modified. The time series prediction model is used to predict China's forest carbon sequestration in 2030. Finally, the FVM model is developed. The combination weighting method is used to calculate the weight vector. The specific score of forest value is calculated by GCA (grey correlation analysis). Then the evaluation criteria are obtained by using k-means clustering algorithm.

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