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基于熵权模糊物元模型的我国省域森林生态安全研究

刘婷婷 孔越 吴叶 祝凌云 张大红

生态学报2017,Vol.37Issue(15):4946-4955,10.
生态学报2017,Vol.37Issue(15):4946-4955,10.DOI:10.5846/stxb201604280805

基于熵权模糊物元模型的我国省域森林生态安全研究

Provincial forest ecological security evaluation in China based on the entropy weight of the fuzzy matter-element model

刘婷婷 1孔越 1吴叶 1祝凌云 1张大红1

作者信息

  • 1. 北京林业大学经济管理学院,北京 100083
  • 折叠

摘要

Abstract

Recently,with the rapid development of the economy and society,the decline of forest resources and deterioration of ecological environments have threatened human productivity and lifestyles.In the context of ecological progress,research on the condition of provincial forest ecological security in China has become a fundamental issue,since it plays a vital role in the sustainable development and national economy,affecting the livelihood of people.After analyzing the existing ecological security systems,the pressure-pressure bearing capacity model was proposed.Using software,such as SPSS and EXCEL,the forest ecological security standards of 31 provinces in China were empirically analyzed and evaluated using the principal component analysis,entropy method,and matter-element analysis based on the data from 2014.Results showed that in the pressure evaluation,19 provinces (61.29%) are under high forest ecological security pressure,which means that most provinces face a high ecological security risk,including Hebei,Chongqing,Hubei,Shanxi,and Xinjiang.In contrast,Tibet,Shanghai,Hainan,Gansu and Heilongjiang face lower pressure.Evaluation of pressure-bearing capacity revealed that 12 provinces (38.71%) are under better bearing conditions,which means that the average pressure-bearing capacity of China is relatively low.Fujian,Yunnan,Jiangxi,Hainan and Zhejiang have the highest pressure-bearing capacities,whereas Qinghai,Ningxia,Xinjiang,Gansu and Tianjin have the lowest.In a comprehensive evaluation of forest ecological security,14 provinces (45.16%) showed high forest ecological security,mostly the southern provinces,including Tibet,Hainan,Fujian,Yunnan and Jiangxi,which are in relatively good condition.However,Ningxia,Qinghai,Xinjiang,Hebei and Shanxi indicated low forest ecological security.Therefore,measures such as strengthening the protection of natural forests,exploring alternatives to wood resources,and establishing a forest ecological security early warning system,should be taken.In addition,measures to improve ecological security should be implemented in consideration of the specific needs of each province.

关键词

森林生态安全/熵权法/模糊物元模型/指标体系/省域

Key words

forest ecological security/entropy method/fuzzy matter-element model/indicator system/provincial ecological management

引用本文复制引用

刘婷婷,孔越,吴叶,祝凌云,张大红..基于熵权模糊物元模型的我国省域森林生态安全研究[J].生态学报,2017,37(15):4946-4955,10.

生态学报

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