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Academic Journal of Environment & Earth Science, 2022, 4(2); doi: 10.25236/AJEE.2022.040210.

Forest Management Decision Model Based on the Entropy Weight and Coefficient of Variation Method

Author(s)

Xunyi Ma1, Jialu Zhang2, Liuyue Zhang1

Corresponding Author:
Xunyi Ma
Affiliation(s)

1College of Agriculture, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China

2College of Economics and Management, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China

Abstract

To measure the carbon sequestration capacity and other benefits of forests and to determine an optimal forest management plan, we build the Forest Management Decision Model. Firstly, we establish a Carbon Sequestration Model. We calculate the amount of carbon dioxide sequestration from three aspects of standing forest, soil, and forest products. Then, to balance forest carbon sequestration with other benefits brought by forests, we establish a forest management decision model and introduce the concept of Forest Value Index (FVI). We select 10 indicators closely related to forest value from 4 perspectives. The indicators are integrated into the FVI using the entropy weight method (EWM) and the coefficient of variation method (CVM), combined with the model constructed, to assist forest managers in making management decisions.

Keywords

Carbon sequestration; Forest management; EWM; CVM

Cite This Paper

Xunyi Ma, Jialu Zhang, Liuyue Zhang. Forest Management Decision Model Based on the Entropy Weight and Coefficient of Variation Method. Academic Journal of Environment & Earth Science (2022) Vol. 4 Issue 2: 48-52. https://doi.org/10.25236/AJEE.2022.040210.

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