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吕梁地区生态环境质量与经济贫困的空间耦合特征

李静怡1,2,3,王艳慧1,2,3**   

  1. (1首都师范大学资源环境与地理信息系统北京市重点实验室, 北京 100048;  2首都师范大学三维信息获取与应用教育部重点实验室, 北京 100048;  3首都师范大学城市环境过程与数字模拟国家重点实验室培育基地, 北京 100048)
  • 出版日期:2014-06-18 发布日期:2014-06-18

Spatial coupling characteristics of eco-environment quality and economic poverty in Lüliang area.

LI Jing-yi1,2,3, WANG Yan-hui1,2,3   

  1. (1Beijing Key Laboratory of Resource Environment and Geographic Information System, Capital Normal University, Beijing 100048, China; 2Ministry of Education Key Laboratory of 3Dimensional Information Acquisition and Application, Capital Normal University, Beijing 100048, China; 3State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China)
  • Online:2014-06-18 Published:2014-06-18

摘要:

保持贫困地区生态环境与经济发展的基本平衡是新时期扶贫开发的重要战略之一.本文以国家连片特困区——吕梁片区20县及其周边36县为多类型、多尺度典型研究区,研究连片特困区生态环境质量与经济贫困之间的关系.首先系统建立该地区生态贫困角度下的指标体系,利用主客观一体化赋权法评价自然环境视角下的生态环境质量;然后与各县人均可支配收入进行耦合,计算耦合协调度;最后分别在片区-省-市-县尺度上对其耦合特征进行空间分异分析.结果表明: 研究区整体耦合协调度的空间自相关系数较高,东部耦合协调度高于西部;山西省境内研究区整体耦合协调度稍高于陕西省境内研究区;国家级贫困县整体呈现衰退失调,协调发展程度远低于非国家级贫困县.
 

Abstract:

It is one of the important strategies during the poverty alleviation to maintain a basic balance between the eco-environment and economic development in poor areas. Taking the whole 20 counties in Lüliang national contiguous special povertystricken areas and the surrounding 36 counties as multitype and multiscale typical study areas, the relationship between eco-environment quality and poverty in the povertystricken areas was explored in this paper. Firstly, the region’s ecological poverty index system was systematically built, and by integrated use of the subjective and objective weighting method, the ecological environment quality was evaluated in the perspective of natural environment. Then, the coupling coordination degree was calculated by coupling the ecologi-cal environment quality index and the average disposable income. Finally, the spatial variation was analyzed in detail respectively at provincial, city and county scales. Results showed that as a whole, the spatial autocorrelation coefficient of coupling coordination degree was relatively higher in the study area, and the coupling coordination degree in the eastern part was higher than that in the western part; the whole coupling coordination degree in Shanxi Province was slightly higher than in Shaanxi Province; the national poverty counties presented a state of recession, and their coordinated development degrees were far lower than that of nonnational poverty counties.