摘要:生态环境与贫困具有较强的空间耦合性，深入研究二者耦合互动机制对喀斯特地区生态修复和精准扶贫具有重要意义。以代表中国南方喀斯特中心的贵州高原为研究对象，构建多维贫困与生态脆弱性指标体系，利用综合耦合协调度模型与热点分析法，剖析贵州9000个省级贫困村生态环境与贫困的耦合关系，并进行贫困村类型划分。研究结果表明：在空间上，贵州南部、北部和西北部多维贫困指数高，而生态环境脆弱指数整体呈西高东低的态势，二者空间分布格局存在明显差异，只存在点状重叠。贵州贫困村生态环境与贫困耦合度介于0.29-0.56之间，以微度、轻度耦合为主。从村域尺度看，生态环境对贫困村致贫原因的贡献不高，只占9.5%左右，贵州省69.3%的贫困村属于生态良好-一般贫困型，贵州在扶贫开发中应根据贫困村生态与贫困的耦合关系，加强东部贫困村的经济开发，强化西部贫困村的生态修复。



Abstract:The ecological environment and poor areas have strongly spatial consistency, analyzing the coupling relationship and interaction mechanism between ecology and poverty is an important prerequisite for achieving ecological restoration and targeted poverty alleviation in poor areas. This article takes the Guizhou plateau, the center of south China karst, as the research object, and built an index system to measure the multi-dimensional poverty and ecological environment quality of poor villages. Using the coupling coordination degree model and the hot spot analysis method, the coupling relationship between the ecological environment and poverty of 9000 provincial poor villages in Guizhou Province is analyzed, and the types of poor villages are classified. The results show that the multi-dimensional poverty index is high in the south, north and northwest of Guizhou plateau and the ecological environment fragility index as a whole tends to be higher in the west and lower in the east. The spatial distribution patterns of them are significantly different and they only overlap in points. The coupling degree between the ecological environment and poverty is between 0.29-0.56, mainly with slight and light coupling degree. The ecological environment does not contribute much to the causes of poverty, accounting for only about 9.5%, and 69.3% of the poor villages in Guizhou are good ecological-general poverty type. In poverty alleviation and development, Guizhou should strengthen the economic development of poor villages in the east and strengthen the ecological restoration in the west according to the coupling relationship between the ecology and poverty.





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