Carbon Sequestration Analysis of Forest Management Summary

Feixiang Liu ； Chenchen Dong ； Xiao Wang ； Peiyi Zhu ； Haoqi Liang

《World Scientific Research Journal》 8卷7期 (2022/07) Pp. 450-467

https://doi.org/10.6911/WSRJ.202207_8(7).0064

摘要

Forest plays an irreplaceable role in reducing carbon dioxide in the atmosphere. Investigating the balance between the value of forest products obtained from logging and the value of allowing forests to continue to grow as living trees to sequester carbon is not only a major issue of contemporary forest science management, but also an important research significance. Based on the improved forest volume method, we propose a carbon sequestration model and an improved forest value evaluation system, and obtain some results under some statistical data. First, by using the original method of calculating carbon sequestration and forest savings, we establish a carbon sequestration model based on the improved forest volume method. This model solves the relationship between deforestation rate and forest carbon sequestration well. Then, we establish a forest value evaluation system based on the entropy weight method. The comprehensive value of any forest in the world can be reflected by the Forest Value Index (FVI) obtained by the evaluation system, which effectively solves the previous problem that the comprehensive value of forests is difficult to be evaluated intuitively. Next, using the collected data, we put forward three critical points of ＂Pass＂, ＂Good＂, and ＂Excellent＂. Further, according to these three critical points, the comprehensive value of the forest is divided into four grades: ＂Fail＂, ＂Lower‐middle＂, ＂Above average＂ and ＂Excellent＂. Thus, we give the detailed policies for felling and non‐cutting corresponding to each state. Finally, Changbai Mountain is selected as the research case. We use GM(1,1) to predict the forest savings in Changbai Mountain and calculate the carbon sequestration and economic benefits in 100 years. Our model solves the problem of forest management, and provide a valuable reference for the solution of global warming and forest management in the future.

關鍵字

Improved Forest Volume Method ； Carbon Sequestration Model ； FVI ； Entropy Weight Method ； Forest Economic Benefit ； GM (1,1)

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