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FOREST RESOURCES WANAGEMENT ›› 2022, Vol. 0 ›› Issue (6): 82-88.doi: 10.13466/j.cnki.lyzygl.2022.06.013

• Scientific Research • Previous Articles     Next Articles

Quality Evaluation of Natural Forest Resources Based on Fuzzy Comprehensive Evaluation Method

PENG Tailai(), HUANG Junwei, LIU Jinshan, QI Jianwen()   

  1. Central South Inventory and Planning Institute of National Forestry and Grassland Administration,Changsha 410014,China
  • Received:2022-09-26 Revised:2022-10-15 Online:2022-12-28 Published:2023-01-16
  • Contact: QI Jianwen E-mail:PengTL93@163.com;631659781@qq.com

Abstract:

Based on the database of natural forest resources in Guangdong Province,eight attribute factors of natural forest sub-compartment were selected from it,and an index system for the quality evaluation of natural forest resources was established.The fuzzy comprehensive evaluation method was used to evaluate the quality level of natural forest resources in Guangdong Province,and its correlation was analyzed.The results showed that among the different regions in Guangdong Province,the quality of natural forest resources in northern Guangdong was the best (2.4214),and the evaluation score of natural forest resources in eastern Guangdong was relatively low (2.0416).The comprehensive evaluation values of natural forest resource quality in various regions of the province were ordered as follows: Northern Guangdong Region>Pearl River Delta Region>Western Guangdong Region>Eastern Guangdong Region.The comprehensive evaluation values were sorted according to ecological location: National Nature reserves/ World Natural Heritage sites>important reservoirs>banks of rivers >desertification and serious soil erosion areas>coastal shelter forest base trunk forest belt.The comprehensive evaluation values of natural forest resource quality in Guangdong Province was 2.3818,and the overall evaluation value of each region was higher than that of "medium".The key factors affecting the quality of natural forest resources were the stock volume per hectare,the age group and the mean DBH,and the two indicators with the highest correlation with the comprehensive evaluation results were the degree of closure (coverage) and the age group.

Key words: fuzzy comprehensive evaluation, natural forests, forests quality evaluation, entropy method, Guangdong Province

CLC Number: