基于熵权法的最优森林经营方案研究

Q3 Social Sciences
Yuhan Zhu, Jinmou Li
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引用次数: 0

摘要

如今,全球气候危机日益严重。除减少碳排放外,碳固存是缓解气候变化的一种解决方案。然而,如何平衡生态和经济是人们面临的一个问题。因此,我们提出了一种确定森林固碳能力的方法,并向森林经营机构提出了管理建议。首先,我们设计了最大固碳量模型(Maximum Carbon Sequestration Volume Model, MCSV),该模型可以更准确地测量森林的固碳能力。其次,提出了森林经营决策模型(FMD)评价模型,利用森林经营指数(FMI)来指导森林经营部门实施措施。我们综合考虑了环境、经济、政策三个因素中六个指标的影响,并根据国家的实际发展水平设定了不同的阈值,给出了适合国情的建议。最后,将该模型应用于印度的森林经营,给出了合理可行的最优森林经营方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the Optimal Forest Management Plan Based on Entropy Weight Method
Nowadays, the global climate crisis is becoming increasingly serious. Carbon sequestration [1] is a solution for mitigating climate change in addition to reducing carbon emissions. However, how to balance ecology and economy is a problem that people face. Therefore, we propose a method for determining forest carbon sequestration capacity and making management recommendations to forest management agencies. First, we designed the Maximum Carbon Sequestration Volume Model (MCSV) model, which can more accurately measure the carbon sequestration capacity of forests. Second, we propose the Forest Management Decision Model (FMD) evaluation model, which uses the Forest Management Index (FMI) to guide the implementation of measures by forest management departments. We comprehensively consider the influence of six indicators in the three factors of environment, economy and policy, and set different thresholds according to the actual development level of the country, and give suggestions suitable for the national conditions. At the end of this paper, the model is applied to forest management in India, and a reasonable and feasible optimal forest management plan is given.
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CiteScore
1.70
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