长江流域资源与环境 >> 2021, Vol. 30 >> Issue (11): 2736-2745.doi: 10.11870/cjlyzyyhj202111016

• 生态环境 • 上一篇    下一篇

秦岭—淮河南北城市生态安全变化特征及其影响因素

张玉凤, 李双双*, 延军平   

  1. (陕西师范大学地理科学与旅游学院,陕西 西安 710119)
  • 出版日期:2021-11-20 发布日期:2021-12-14

Spatiotemporal Variation of Urban Ecological Security and Its  Influencing Factors in North and South of Qinling-Huaihe Region, China

ZHANG Yu-feng, LI Shuang-shuang, YAN Jun-ping   

  1. (Shaanxi Normal University School of Geography and Tourism,Xi′an 710119,China)
  • Online:2021-11-20 Published:2021-12-14

摘要: 基于2008~2017年土地利用、社会统计数据,对秦岭—淮河南北城市生态安全时空变化特征进行分析,进而借助障碍度模型探究城市生态安全的影响因素。结果表明:(1)2008~2017年秦岭—淮河南北城市生态安全处于临界安全等级,且呈微弱的增长趋势,说明区域城市生态安全等级“稳定向好”;(2)在空间上,城市生态安全呈现“东高西低、南高北低”分布格局,高生态安全区主要集中在长江中下游、淮河平原东部;(3)在未来趋势上,有24.2 %的城市生态安全呈增长趋势,连片分布于长三角地区、江汉平原,35.2 %的区域呈退化趋势,主要位于关中平原、黄河下游西部;(4)在影响因素方面,中国南北过渡带城市生态安全影响因素具有一致性,水域(湿地)覆盖率、人均绿地面积、水资源总量和第三产业比重为主要影响因子,在未来城市生态建设中,优化产业结构、增加生态用地比重、保障资源总量可有效提高城市生态安全。

Abstract: With the rapid industrialization and urbanization in eastern China, urban ecological security (UES) pattern was gaining attentions in the typical geographical region, with the high climatic sensitivity, biological diversity and environmental complexity, especially in the China’s north-south transitional zone. In this paper, based on land cover type and social statistics datas for the period of 2008-2017, the spatiotemporal variation of the UES pattern was analyzed in north and south of Qinling-Huaihe region. More importantly, the obstacle degree model was introduced to explore the influencing factors of the UES in China’s north-south transitional zone. The results showed, (1) Between 2008 and 2017, the UES grade in the study area was being a critical risk level and showed a slight increase with a linear tendency being 0.003%/10a. That implied the UES tended to be better and stable; (2) The spatial pattern of UES in north and south of Qinling-Huaihe region presented the east was higher than the west, while the UES index in the south area is higher than that in north area. In detail, high value of UES was mainly distributed in the middle and lower reaches of the Yangtze River and the east of the Huaihe Plain; (3) In the aspect of future tendency, the characteristics of the spatial pattern evolution of UES shown that about 24.2% of the study area experienced the increasing trend, which was continuously concentrated in Yangtze River Delta and Jianghan Plain. The areas with UES decreasing mainly distributed in Guanzhong Plain and the west of the lower reach of the Yellow River, accounting for about 35.2%; (4) In terms of influencing factors, the main factors affecting UES had consistency in different areas of China’s north-south transitional zone and they were water and wetland coverage, per capita green area, total water resources and proportion of tertiary industry. It can be effective to improve the UES by means of industrial structure optimization, increasing the proportion of ecological land and guaranteeing the total resource security.


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