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Decision models to improve the overall efficiency of forests to mitigate global warming

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DOI: 10.23977/erej.2023.070303 | Downloads: 4 | Views: 548


Lingxiao Li 1, Qian He 1, Pan Tian 1, Chan Jin 1, Xinrun Lan 1


1 School of Marine and Spatial Information, China University of Petroleum (UPC), 66 Changjiang West Road, Huangdao District, Qingdao City, China

Corresponding Author

Xinrun Lan


The World Meteorological Organization (WMO) reported that global greenhouse gas concentrations reached a new high in 2020, accelerating the process of global warming. The worsening climate situation has led to frequent extreme weather in many parts of the world. This paper will find out how to mitigate global warming by maximizing the overall benefits of forests based on the optimal period of deforestation. According to the triple bottom line theory, we define the comprehensive benefits of forests as ecological benefits (carbon sequestration benefits and other benefits), social benefits, and economic benefits. Therefore, we first constructed three benefit models respectively, and obtained the linear relationship between the three benefits of five functional forests through grey relational analysis. Based on this, a decision-making model of forest management plan based on ESE was constructed, and the optimal deforestation period and the optimal comprehensive benefit of forest were deduced. In addition, we select China, the country with the largest carbon emission, for a specific case analysis to prove the effectiveness of the decision. Visualize the comprehensive benefit analysis of various regions in China, which is highly consistent with the facts and effective in decision-making. And even if the optimal forest management plan is delayed for 10 years and enters the felling period, its comprehensive benefit in the T+10 year is higher than that of the current forest management plan that has entered the cutting period for 10 years.


Forest carbon sink, Warming of the climate, The overall efficiency of forests


Lingxiao Li, Qian He, Pan Tian, Chan Jin, Xinrun Lan, Decision models to improve the overall efficiency of forests to mitigate global warming. Environment, Resource and Ecology Journal (2023) Vol. 7: 21-25. DOI:


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