Author(s)

Hao Chen ¹, Xinyi Dou ¹, Yichu Liu ¹

Affiliation(s)

¹ School of Computer and Information Engineering, Heilongjiang University of Science and Technology, Harbin, Heilongjiang, 150022, China

Corresponding Author

Hao Chen

ABSTRACT

Increasing levels of greenhouse gases have seriously affected climate change and endangered human lilfe and health. How to sequester carbon dioxide most effectively and how to make an optimal forest management plan to balance the rights and interests of forests, managers, and users, and maintain the sustainable development of forests have become urgent issues. For the carbon sequestration of forests and their forest products, we established a Gray Correlation Model and a Comprehensive Evaluation Prediction Model to obtain the final sum of carbon sequestration. We analyzed the carbon sequestration in each forest globally and defined the forest into three periods: young, middle, and mature according to the growth period of trees. We found that most forests have the highest contribution to carbon sequestration in the mid-aged period and that the most efficient and sustainable way to sequester carbon is to selectively harvest mature trees to produce forest products.

KEYWORDS

Gray Correlation Analysis, Comprehensive Evaluation Prediction, Carbon Sequestration

CITE THIS PAPER

Hao Chen, Xinyi Dou, Yichu Liu, Research on Comprehensive Evaluation Model of Forest Carbon Sequestration Based on Gray Correlation Analysis. Environment, Resource and Ecology Journal (2022) Vol. 6: 90-93. DOI: http://dx.doi.org/10.23977/erej.2022.060115.

REFERENCES

[1] Ruiwu Zhou, Mingchun Peng, Yiping Zhang, Journal of Yunnan University, 2017.11.
[2] Han Xuchao, Zhao Jin, Li Shunlong, Issues of Forestry Economics, 2016.10.
[3] Hu Haiqing, Luo Bizhen, Wei Shujing, Chinese Journal of Plant Ecology, 2015. 2.
[4] Liu, Weiwei, Wang, Xiaoke, Lu, Fei, Chinese Journal of Applied Ecology, 2015. 9.

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