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基于熵权灰色关联法的高寒贫困山区生态脆弱性分析——以青海省海东市为例
郭婧1,2,3, 魏珍4, 任君5, 周华坤1, 师燕6
1.中国科学院 西北高原生物研究所, 青海省寒区恢复生态学重点实验室, 青海 西宁 810008;2.青海省社会科学院 生态环境研究所, 青海 西宁 810000;3.中国科学院大学, 北京 100049;4.青海省社会科学院 经济研究所, 青海 西宁 810000;5.青海大学 研究生院, 青海 西宁 810016;6.西宁市城乡规划设计研究院, 青海 西宁 810006
摘要:
[目的]对青海省海东市6个区县的生态脆弱性进行定量研究,为缓解高寒贫困山区贫困状态、提高生态环境保护意识提供参考,为国家深入实施精准扶贫工作提供依据。[方法]选择经济发展状况、社会发展状况和自然生态环境状况3个评价维度构建高寒贫困山区生态脆弱性评价指标体系,运用熵权灰色关联法,对其进行定量分析与评价。[结果]互助县生态脆弱度为0.850 1,属微度脆弱等级,平安区生态脆弱度为0.712 8,属轻度脆弱等级,循化县生态脆弱度为0.557 3,属于中度脆弱等级,乐都、民和及化隆3区县生态脆弱度均小于0.45,属于重度脆弱等级。青海省海东市高寒贫困山区生态脆弱性评价指标的综合关联度从高到低的顺序依次为:互助县 > 平安区 > 循化县 > 化隆县 > 乐都区 > 民和县。[结论]自然生态环境状况和资源禀赋严重制约经济社会发展的同时,对生态脆弱性也有显著的影响。
关键词:  熵权灰色关联法  高寒贫困山区  生态脆弱性
DOI:10.13961/j.cnki.stbctb.20190329.001
分类号:F323
基金项目:国家重点研发计划课题“退化高寒草甸适应性恢复及生态功能提升技术与示范”(2016YFC0501901);国家社会科学基金青年项目(16CJY012);青海省创新平台建设专项(2017-ZJ-Y20);青海省自然科学基金面上项目(2019-ZJ-908);中国科学院科技服务网络计划(STS计划KFJ-STS-ZDTP-036);青海大学中青年科研基金项目(2018-QSY-4)
Analysis on Ecological Vulnerability in High-cold and Poverty-stricken Mountainous Areas Based on Entropy and Gray Correlation Methods—A Case Study in Haidong City, Qinghai Province
Guo Jing1,2,3, Wei Zhen4, Ren Jun5, Zhou Huakun1, Shi Yan6
1.Key Laboratory of Restoration Ecology of Cold Area in Qinghai Province, Northwest Institute of Plateau Biology, Chinese Academy of Science, Xi'ning, Qinghai 810008, China;2.Research Department of Ecological Environment, Qinghai Academy of Social Sciences, Xi'ning, Qinghai 810000, China;3.University of Chinese Academy of Sciences, Beijing 100049, China;4.Research Department of Economy, Qinghai Academy of Social Sciences, Xi'ning, Qinghai 810000, China;5.Graduate School of Qinghai University, Xi'ning, Qinghai 810016, China;6.Xining Institue of Urban-Rural Planning and Design, Xi'ning, Qinghai 810006, China
Abstract:
[Objective] The ecological vulnerabilities of six counties and districts in Haidong City, Qinghai Province were quantitatively studied in order to alleviate poverty in high-cold and poverty-stricken mountainous areas, improve awareness of environment protection and provide basis for the implementation of national "precise poverty alleviation" policy.[Methods] The evaluation index system of ecological vulnerability in high-cold and poverty-stricken mountainous area was constructed from three dimensions of economic development, social development and the ecological environment. The index system was quantitatively analyzed and evaluated by the gray correlation method of entropy weight.[Results] The ecological vulnerability in Huzhu County was 0.850 1, which belonged to the slight vulnerability. The ecological vulnerability in Ping'an District was 0.712 8, belonging to light vulnerability level. The ecological vulnerability in Salar Autonomous County of Xunhua was 0.557 3, belonging to moderate vulnerability level. The vulnerabilities of ecological in Ledu, Minhe and Hualong, were less than 0.45, belonging to severe vulnerability level. The vulnerabilities of the six counties and districts in Haidong City were ranked as:Huzhu County > Ping'an District > Salar Autonomous County of Xunhua > Hualong County > Minhe County > Ledu County.[Conclusion] The ecological environment and the resource endowment not only seriously restrict the development of the social economy, but also have a remarkable impact on the ecological vulnerability.
Key words:  entropy and gray correlation method  high-cold and poverty-stricken mountainous areas  ecological vulnerability