Dynamic Evolution of the Ecological Carrying Capacity of Poverty-Stricken Karst Counties Based on Ecological Footprints: A Case Study in Northwestern Guangxi, China
Dynamic Evolution of the Ecological Carrying Capacity of Poverty-Stricken Karst Counties Based on Ecological Footprints: A Case Study in Northwestern Guangxi, China
复制标题
基于生态足迹的喀斯特贫困县生态承载力动态演化——以桂西北地区为例
DOI：
10.3390/ijerph17030991
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发表时间：
2020-02-01
影响因子：
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通讯作者：
Xie, Binggeng
中科院分区：
文献类型：
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作者：
Shi, Shana;Hu, Baoqing;Xie, Binggeng
桂西北喀斯特地区贫困、欠发达、生态脆弱。该地区正在经历石漠化，这带来的挑战比其他区域生态环境的挑战更为严峻。运用生态足迹模型对桂西北地区1995 - 2015年的生态承载力进行分析，探讨不同贫困程度喀斯特县的差异。结果表明：（1）自1995年以来，桂西北地区生态承载力持续降低，生态足迹持续增加，生态赤字（艾德）不断扩大，该地区处于长期不可持续状态。(2)不同贫困程度的喀斯特县域生态系统演化模式、生态足迹和生态承载力存在差异。贫困率最低的县，人均EF增长速度最快。喀斯特地区所占比例最大的县EC值最低。(3)建议不同类型县采取不同措施，包括加强生态环境保护、开展石漠化治理和生态移民工程、降低能源消耗等。该研究可为喀斯特地区的可持续发展提供信息，为区域扶贫提供决策支持。
The karst area in northwestern Guangxi is poor, underdeveloped, and ecologically fragile. It is experiencing rocky desertification, which creates challenges that are more severe than those of other regional ecological environments. In this paper, the ecological footprint (EF) model is used to analyze the ecological carrying capacity (EC) in northwestern Guangxi from 1995 to 2015, and the differences in karst counties with different poverty levels are discussed. The results show that (1) since 1995, the EC of northwestern Guangxi has continued to decrease, the EF has continued to increase, the ecological deficit (ED) has been expanding, and the status of the region has been unsustainable for a long time. (2) The evolutionary patterns, EF and EC of karst counties with different poverty levels are different. The county with the lowest poverty rate has the fastest growth rate of the per capita EF. The county with the largest proportion of karst area has the lowest EC. (3) It is recommended that different types of counties take different measures, including strengthening ecological environment protection, carrying out rocky desertification control and ecological resettlement projects, and reducing energy consumption. This study can provide information for the sustainable development of the karst region and provide decision support for regional poverty alleviation.