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喀斯特山区生态脆弱性与经济贫困的耦合关系——以贵州省荔波县为例
张霞1,2, 周忠发1,2, 朱昌丽1,3, 马国璇1,2, 陈全1,2
1.贵州师范大学 喀斯特研究院/地理与环境科学学院, 贵州 贵阳 550001;2.贵州省喀斯特山地生态 环境国家重点实验室培育基地, 贵州 贵阳 550001;3.国家喀斯特石漠化防治工程技术研究中心, 贵州 贵阳 550001
摘要:
[目的] 对贵州省荔波县的生态脆弱性与经济贫困的耦合关系进行研究,为该区域的生态环境建设和经济发展提供科学参考。[方法] 以荔波县为例,以行政村为评价单元,采用敏感性—恢复力—压力度(SRP)的概念模型构建生态脆弱性评价指标体系,并从经济和社会两个维度,构建村级尺度上的经济贫困的评价指标体系,建立荔波县生态脆弱性和经济贫困耦合模型,由此分析生态脆弱性和经济贫困耦合协调度及其空间分布。[结果] ①荔波县的轻度脆弱和中度脆弱行政村比例较大,中部和南部的生态脆弱性相对较高,东北部的生态脆弱性相对较低。②荔波县中度贫困所占的行政村比例最大,较重度和重度贫困主要分布在东北部和南部。③将荔波县的生态脆弱性与经济贫困的耦合关系分为6种类型,协调同步型的行政村比例仅占10.6%,协调环境滞后型行政村比例最多,主要分布在西部。[结论] 荔波县的生态脆弱性与经济贫困的耦合协调度整体较低,未来发展中,要协调好环境的保护与经济的发展两者之间的关系,促进区域的可持续发展。
关键词:  生态脆弱性  经济贫困  耦合协调度  熵权法  荔波县
DOI:10.13961/j.cnki.stbctb.2020.05.033
分类号:S124.5;F127
基金项目:国家自然科学基金地区项目“喀斯特石漠化地区生态资产与区域贫困耦合机制研究”(41661088);贵州省科技计划项目(黔科合平台人才[2017]5726-57);贵州省高层次创新型人才培养计划—“百”层次人才(黔科合平台人才〔2016〕5674);贵州省教育科学规划课题(2019B174)
Coupling Relation Between Ecological Vulnerability and Economic Poverty in Karst Mountain Area - A Case Study at Libo County of Guizhou Province
Zhang Xia1,2, Zhou Zhongfa1,2, Zhu Changli1,3, Ma Guoxuan1,2, Chen Quan1,2
1.School of Geography and Environmental Science/Institute of Karst Science, Guizhou Normal University, Guiyang, Guizhou 550001, China;2.The State Key Laboratory Incubation Base for Karst Mountain Ecology Environment of Guizhou Province, Guiyang, Guizhou 550001, China;3.State Engineering Technology Institute for Karst Desertification Control, Guiyang, Guizhou 550001, China
Abstract:
[Objective] The coupling relationship between ecological vulnerability and economic poverty in Libo County, Guizhou Province, was studied to provide a scientific reference for the ecological environment and economic development of the region.[Methods] Libo County was studied as an example, with single administrative villages taken as the evaluation unit. The sensitivity-resilience-stress conceptual model was selected to build an evaluation index system of ecological vulnerability and construct an economic poverty evaluation index system of the village from social dimensions and economic dimensions. The two evaluation index systems were then combined to establish a coupling model of ecological vulnerability and economic poverty in Libo County, which was analyzed for the degree of coordination and the spatial distribution of the coupling of ecological vulnerability and economic poverty.[Results] ① Libo County had a relatively large proportion of lightly and moderately vulnerable administrative villages, with relatively higher ecological vulnerability in the central and southern regions and relatively lower vulnerability in the northeast. ② In Libo County, the largest proportion of administrative villages had moderate poverty, with comparatively severe poverty mainly distributed in the northeast and the south. ③ The coordination degree of the coupling of ecological vulnerability and economic poverty in Libo County was divided into six types. The proportion of coordinated and synchronous administrative villages accounted for only 10.6% of the total. The largest proportion belonged to administrative villages with a lagging environment, which were mainly in the west.[Conclusion] The coupling degree of ecological vulnerability and economic poverty in Libo County was generally low. In future developments, the relation between environmental protection and economic development must be coordinated to promote sustainable regional development.
Key words:  ecological vulnerability  economic poverty  entropy weight method  Libo County