基于碳储量分析的森林价值应用模型

Zixuan He, Xiaoxu Li, T. Chen
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引用次数: 0

摘要

由于气候变化对生态系统产生影响,森林及其产品的二氧化碳固存正在成为减缓气候变化的一个不可忽视的部分。本文通过建立固碳模型和森林经营决策模型来解决实现森林最优综合价值的问题,并采用TOPSIS方法进行求解。本文首先对成树、新植树和林产品的固碳量进行了分析,建立了固碳模型。然后建立logistic模型,给出了最优的中间采伐期和采伐量。最后以中国甘肃省子午岭森林为研究对象,选取13种主要树种进行分析。确定了森林固碳总量为713.61万吨,最佳中间采伐期为5年。利用TOPSIS法,得出各树种采伐量最大的是阔叶混交林。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application model of forest value based on carbon storage analysis
: Carbon dioxide sequestration by forests and their products is becoming a non-negligible part of climate change mitigation, as climate change impacts on ecosystems. In this thesis, the carbon sequestration model and forest management decision model are established to solve the problem of realizing the optimal comprehensive value of forest, TOPSIS are used to solve the problem. We analyze carbon dioxide sequestration from adult trees, newly planted trees and forest products to establish a carbon sequestration model, firstly. Then we establish logistic model to give the optimal intermediate cutting period and felling quantity. Finally, we choose the Ziwuling forest in China's Gansu Province, selecting 13 kinds of main trees for analysis. We determine that total carbon sequestration was 7.1361 million tons, and the optimal intermediate cutting period was 5 years. Using TOPSIS, it is concluded that the largest cutting amount of all kinds of trees is broadleaf mixed.
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