Multi-level forest evaluation model based on carbon sequestration

Jili Ruan; Xirui Zhu; Keyue Qiu

doi:10.1117/12.2638809

17 May 2022 Multi-level forest evaluation model based on carbon sequestration

Jili Ruan, Xirui Zhu, Keyue Qiu

Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 122592Z (2022) https://doi.org/10.1117/12.2638809
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, 2022, Kunming, China

Abstract

Forest products can sequester carbon as well as living plants. Therefore, we can maximize carbon sequestration by appropriately cutting trees and it is quite necessary to study the optimal forest management plan. Firstly, this paper studies how to determine the amount of carbon dioxide that forest and its products can sequester through mathematical analysis, which contributes to making a forest management plan with the aim of maximizing carbon sequestration. Nevertheless, we propose a comprehensive evaluation model. We establish indicators form from multiple aspects and then employ the entropy weight method(EWM) and the coefficient of variation method to calculate the weights of the first-level and second-level indicators respectively.

Citation Download Citation

Jili Ruan, Xirui Zhu, and Keyue Qiu "Multi-level forest evaluation model based on carbon sequestration", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 122592Z (17 May 2022); https://doi.org/10.1117/12.2638809

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