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Academic Journal of Environment & Earth Science, 2023, 5(3); doi: 10.25236/AJEE.2023.050309.

Carbon Sequestration Decision-Making Management Based on Model Construction


Mengjun Chao, Tianyang Song, Ling Wang

Corresponding Author:
Mengjun Chao

Faculty of Geomatics, East China University of Technology, Nanchang, China


Nowadays, forests are integral to mitigating climate change. Fully exerting the carbon sequestration capacity of forests is related to whether the concentration in the atmosphere can be reduced and the trend of global warming can be restrained. Because forest composition, climate, population, interests, and values vary widely around the world, it is impractical to develop a model of forest management that applies to all regions, and the optimal management strategy for each forest is different. Modeling the carbon footprint of forest areas, from which the carbon sequestration of trees, understory vegetation and forest litter per unit area can be obtained, and trees can be further divided into young forests, middle-aged forests, and near-mature forests according to their age , mature forest and over-mature forest, comprehensively evaluate the established indicators through the entropy weight method, establish 3 first-level indicators and 6 second-level indicators, and combine the Pearson correlation coefficient to formulate the most relevant indicators. The maintenance of ecological balance is a forest management plan in Carbon dioxide sequestration in the Greater Khingan Range is the most efficient.


Forest Ecosystem, Carbon Sequestration Model, Carbon Footprint, Entropy Weight Method

Cite This Paper

Mengjun Chao, Tianyang Song, Ling Wang. Carbon Sequestration Decision-Making Management Based on Model Construction. Academic Journal of Environment & Earth Science (2023) Vol. 5 Issue 3: 55-61. https://doi.org/10.25236/AJEE.2023.050309.


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