Based on the Difference Equation of Forest Ecological and Economic Optimization Management Solution

Yujie Sun; Guangxin Liang; Zhijian Zhang; Qianqian Huang; Haoshu Yuan; He Feng

doi:10.54097/hset.v39i.6864

Authors

Yujie Sun
Guangxin Liang
Zhijian Zhang
Qianqian Huang
Haoshu Yuan
He Feng

DOI:

https://doi.org/10.54097/hset.v39i.6864

Keywords:

Grey Correlation Method; Logistics Regression Model; Difference Equation Model; Carbon Sequestration.

Abstract

Forests lay emphasis on meeting ecological balance, carbon sequestration, social mate-rial needs, and promoting economic development. The paper will explore an integrated forest management and utilization model to maximize the benefits in all aspects of forest. To find the factors that affecting forest carbon sequestration, the grey correlation method was used to analyze the age structure and annual precipitation. Then the key index, age structure, which is affecting forest carbon sequestration was obtained. For qualitative and quantitative research on forest carbon sequestration of the trend of change over time, Saihanba was selected as the research object, then ArcGIS visualization analysis was conducted. Furthermore, polynomial function was utilized in Matlab data fitting toolbox to fit the data, then a logistics regression model in line with the situation of forest carbon sequestration was obtained. According to this model, we developed the integrated forest management model based on difference equation. This model can facilitate the finding of an optimal cutting intensity coefficient K to obtain the optimal forest management scheme. It also paves the road in getting the relationship between forest carbon sequestration with time.

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