Academic Journal of Environment & Earth Science, 2023, 5(3); doi: 10.25236/AJEE.2023.050309.
Mengjun Chao, Tianyang Song, Ling Wang
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
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.
 Zhou J, Yu S, Kang H, et al. Construction of multi-enzyme cascade biomimetic carbon sequestration system based on photocatalytic coenzyme NADH regeneration[J]. Renewable Energy, 2020, 156.
 Mancni M S, Galli A, Niccolucci V, et al. Ecological footprint: refining the carbon footprint calculation [J]. Ecological indicators, 2016, 61:390-403.
 Zhu Wanze. Research progress on carbon sequestration in mature forests [J]. Forestry Science, 2020, 56(03): 117-126.
 Xu Shanshan. A review of forest carbon storage estimation methods [J]. Forestry Survey and Planning, 2014, 39(06): 28-33.
 Wang Dawei, Shen Wenxing. Calculation of carbon storage and carbon sequestration potential analysis of artificial arbor forests of main tree species in China [J]. Journal of Nanjing Forestry University (Natural Science Edition), 2022, 46(05): 11-19.
 Li Fang, Li Dongping. Combination evaluation model based on entropy weight method [J]. Information Technology and Informatization, 2021 (09): 148-150.
 Chen Keyi, Wang Jianjun, He Youjun, Zhang Liwen. Evaluation of forest carbon storage and carbon sequestration potential in key state-owned forest areas of Greater Khingan Range, Heilongjiang [J]. Journal of Ecological Environment, 2022, 31(09): 1725-1734. DOI: 10.16258/ j.cnki.1674-5906. 2022.09.002.
 Huang Lin. Research progress on ecological effects of forest management [J]. Chinese Journal of Ecology, 2021, 41(10): 4226-4239.