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Evaluation of forest value based on multiple evaluation model

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DOI: 10.23977/erej.2022.060309 | Downloads: 10 | Views: 558


Mengdi Zhang 1, Jingcheng Liu 1, Shixiao Chang 1, Yanyong Zhan 1, Zhichao Wang 1, Tengfei Xu 1


1 College of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin, 300222, China

Corresponding Author

Mengdi Zhang


Since the 20th century, with the rapid development of the world economy, the process of industrialization and urbanization has accelerated and greenhouse gases such as carbon dioxide has soared in the atmosphere. The global climate has undergone immense changes. Yet forests play an indispensable role in mitigating the impact of climate change. Therefore, it is important to build a management system that can give full play to the carbon sequestration value of forests. Considering that wood forest products also have the ability of carbon sequestration, our team established the I-S-A model of carbon sequestration by wood forest products and forest based on this aspect. We establish a forest value evaluation model after considering other forest values. Our model selects biodiversity, wood forest product yield, forest product carbon storage and total carbon storage. Then, we analyze their relationship through Pearson index, and conclude that there is no condition that will lead to the forest not being cut down through the PCA model. We comprehensively evaluate the forest values of Florida, Mississippi and California in the United States by using Topsis model. Depending on the score, we obtain three indicators of forest value classification through cluster analysis: 0.02291, 0.04872 and 0.07163. The value of forests below 0.04872 gradually deteriorates, and we need to manage forests below this score. Meanwhile, we obtain the scope and transition point of the forest management plan according to the change heat map.


I-S-A, PCA mocel, Topsis, scope and transition point


Mengdi Zhang, Jingcheng Liu, Shixiao Chang, Yanyong Zhan, Zhichao Wang, Tengfei Xu, Evaluation of forest value based on multiple evaluation model. Environment, Resource and Ecology Journal (2022) Vol. 6: 70-76. DOI:


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