Academic Journal of Computing & Information Science, 2022, 5(7); doi: 10.25236/AJCIS.2022.050702.
Liyuheng Rui1, Yang Zhao2, Zixin Sheng1, Kai Li3, Jianing Xu2
1College of Information and Computer Engineering, Northeast Forestry University, Harbin, China
2School of Economics and Management, Northeast Forestry University, Harbin, China
3Materials Science and Engineering College, Northeast Forestry University, Harbin, China
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.
Carbon sequestration, time series prediction, GCA, k-means clustering algorithm
Liyuheng Rui, Yang Zhao, Zixin Sheng, Kai Li, Jianing Xu. Research on forest management plan based on forest ecosystem carbon sequestration model (FCSM) and forest value assessment model (FVM). Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 7: 10-14. https://doi.org/10.25236/AJCIS.2022.050702.
 Cai Yun, Wentao Zhou. China. Estimating carbon sequestration in forest ecosystems, 2020.
 He Ying, China, Forest carbon sequestration estimation method review, 2005.02.
 Hongqiang Yang, Chunyi Ji, hui Yang, Nie Ying, Xingliang Chen, China. Contribution of China’s forest products to emission reduction under global climate change: based on the carbon sequestration function of wood forest products, 2003.
 Yuan Qin, China, Eﬀects of Forest Management on forest carbon Sequestration and Measures to improve it (Dibu County Forestry Technology Comprehensive Service Station, Dibu 747400, Gansu, China). 2008.
 Sifeng Liu, et al. Grey System Theory and Its Application [M]. Beijing: Science Press, 2010