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基于生态网络分析的南京主城区重要生态斑块识别
引用本文:许文雯,孙翔,朱晓东,宗跃光,李杨帆.基于生态网络分析的南京主城区重要生态斑块识别[J].生态学报,2012,32(4):1264-1272.
作者姓名:许文雯  孙翔  朱晓东  宗跃光  李杨帆
作者单位:1. 污染控制与资源化研究国家重点实验室南京大学环境学院
2. 南京大学建筑与城市规划学院,南京,210093
基金项目:国家自然科学基金项目(40976021, 40901081);国家863高技术研究发展计划项目(2007AA12Z235);江苏省太湖治理科研课题(TH2010301);住房和城乡建设部2009年科学技术项目计划(2009-R2-40)
摘    要:在城市化程度较高,用地极为紧张的大都市,识别重要的生态斑块对其进行保留和修复不仅对控制大城市的城市过度扩张、提升城市品质、优化人居环境具有重要意义,也具有较强可操作性。以南京市主城区为例,在GIS技术的支撑下,(1)将景观阻力分析和网络分析相结合,定量表征研究区的潜在生态廊道,构建生态网络,寻找生态节点;(2)对城市中生态斑块的特殊服务功能进行分析,筛选出具备河流生态防护、隔离工业污染和居民休闲功能的生态斑块;(3)对生态斑块的规模进行分析,提取面积较大的斑块。综合分析后识别出7个重要的节点斑块,建议对其进行立法保护和修复,划定为永久绿地或永久生态空间,并对其建设方向提出意见。

关 键 词:地理信息系统  最短路径  生态网络  重要生态斑块识别  南京主城区
收稿时间:2010/12/24 0:00:00
修稿时间:2011/7/19 0:00:00

Recognition of important ecological nodes based on ecological networks analysis: A case study of urban district of Nanjing
XU Wenwen,SUN Xiang,ZHU Xiaodong,ZONG Yueguang and LI Yangfan.Recognition of important ecological nodes based on ecological networks analysis: A case study of urban district of Nanjing[J].Acta Ecologica Sinica,2012,32(4):1264-1272.
Authors:XU Wenwen  SUN Xiang  ZHU Xiaodong  ZONG Yueguang and LI Yangfan
Institution:State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210093, China;State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210093, China;State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210093, China;School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China;State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210093, China
Abstract:In metropolises with high urbanization and being squeezed by a shortage of land available for urban development, it is of great significance to recognize important ecological nodes to designate as protected areas for controlling urban sprawl, and enhancing urban quality of life. In this study, ecological networks analysis has been designed, developed and tested with GIS technique for recognition of important ecological nodes. This paper applies this method to a model of urban district of Nanjing. The procedure was described as follows: (1) the potential ecological networks and ecological nodes were recognized using landscape resistance analysis and network analysis; (2) next, the ecological patches with high special service functions, such as those can protect rivers, provide recreational space, and mitigate industrial pollution, along the recognized potential ecological networks or around ecological nodes were screened; (3) finnaly, the ecological patches with high special service functions greater than a certain size were selected. The results showed that 7 important eco-patches were recommended to designate as permanent green space by law. Furthermore,some suggestion were given to guide the protection of the 7 important eco-patches in the correct direction.
Keywords:GIS  least-cost path  ecological network  recognition of important ecological nodes  urban district of Nanjing
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