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扬州市绿地生态网络构建与优化

吴榛,王浩**   

  1. (南京林业大学风景园林学院, 南京 210037)
  • 出版日期:2015-07-10 发布日期:2015-07-10

Establishment and optimization of green ecological networks in Yangzhou City.

WU Zhen, WANG Hao**   

  1. (College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China)
  • Online:2015-07-10 Published:2015-07-10

摘要: 快速城市化使得绿地生境斑块日益破碎,连接性不断降低,如何科学合理地构建绿地生态网络,连接破碎生境,对保护生物多样性和区域生态安全具有重要意义。在RS及GIS技术支撑下,通过分析连通性指数确定绿地斑块节点,采用最小耗费距离模型进行潜在廊道模拟,构建扬州市绿地生态网络体系,并基于重力模型和廊道曲度指数对生态网络结构进行定量分析,针对性地提出扬州市生态网络优化建议。结果表明:扬州市域范围内,阈值200 m下的可能连通性指数(PC)最适合作为绿地斑块节点的选择指标;绿地和农业用地为该范围内组成生态网络的优势景观类型;不同绿地斑块间的相互作用差异较大,相互作用较弱的廊道景观阻力大,生境适宜性低,需进一步改善;曲度较大的廊道景观阻力较大,生物流动效能较低,需进一步优化。研究结果可为扬州市绿地系统规划提供科学参考。

关键词: 人口增长, 生态系统服务, 熵, 生态系统服务流, 城市生态系统, 定量评估

Abstract: With the rapid urbanization, existing green habitat patches have been fragmented and disconnected. How to establish new ecological networks and connect fragmented habitats with sound scientific basis is very important to local biodiversity protection and regional ecological security. Supported by RS and GIS technologies, patch nodes were recognized through analysis of connectivity indexes, and potential corridors were simulated using the leastcost path model in order to build green ecological networks in Yangzhou City. In addition, quantitative analysis based on the gravity model and corridor index was also conducted on ecological networks. Optimization measures on Yangzhou’s existing networks were suggested. The results indicated that, within Yangzhou City, the possible connectivity (PC) within the 200 m threshold was the best suitable index for selecting the nodes of green patches. Green land and agricultural land were the dominant landscape types in the ecological network of the study area. The interaction between green patches varied greatly. The corridors connecting patches with weaker interactions had higher resistance and lower habitat suitability, therefore needed to be further improved. The corridors with high curvatures had high resistance and low biological flow efficiency, needing to be further optimized. The results could provide scientific reference for the planning of urban green space in Yangzhou.

Key words: urban ecosystem, population increase., ecosystem services, entropy, ecosystem services flow, quantitative assessment