TITLE:
Artificial Logging or Natural Growth
AUTHORS:
Ziyi Wang, Jiaxin Lu, Fuxing Chu, Xiangrui Li
KEYWORDS:
Forest Management Strategy, Selective Cutting Intensity, Selective Cutting Cycle, Optimal Decision Model, Entropy Weight TOPSIS Method
JOURNAL NAME:
Open Journal of Applied Sciences,
Vol.12 No.7,
July
15,
2022
ABSTRACT: Global climate change makes forestry carbon sequestration a hot
issue. In order to improve the comprehensive benefits of forest management,
this paper studies the carbon accounting problem, and uses the forest stock
conversion factor method to create a carbon sequestration accounting model
based on the reserve transformation method. Then, the HWP carbon sequestration
accounting algorithm is obtained after the improvement of the reserve change
method and the atmospheric flow method with the HWP half-life as a bridge.
Based on the ecological and economic benefits, a multi-objective and
multi-attribute decision-making model for forest management plan is constructed, and the optimal strategy of stand
structure based on selective cutting is proposed. Finally, the entropy weight
TOPSIS method is used to quantitatively analyze the comprehensive benefit value
and provide suggestions for forestry departments. To verify the model, we chose
the Greater Khingan Mountains forest region as the research site. Through
successive iterations of CSAM, we calculate that the forest will absorb 534
million tons of live forest and forest products in 100 years. From the stand
structure of the forest area, when the selected cutting intensity is 20% and
the selected cutting cycle is 10.7 years, the comprehensive benefit value of
the Greater Khingan Mountains is the highest.