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基于电路理论的南京城市绿色基础设施格局优化
引用本文:刘佳,尹海伟,孔繁花,李沐寒.基于电路理论的南京城市绿色基础设施格局优化[J].生态学报,2018,38(12):4363-4372.
作者姓名:刘佳  尹海伟  孔繁花  李沐寒
作者单位:南京大学建筑与城市规划学院;南京大学国际地球系统科学研究所
基金项目:国家自然科学基金项目(51478217,31670470)
摘    要:城市绿色基础设施的连通性与格局优化能显著提升城市的生物多样性和可持续发展能力,对维持城市生态系统的健康与稳定具有重要意义。基于电路理论构建了南京市主城区绿色基础设施景观格局,根据电流密度分析斑块、廊道重要性,并借助移动窗口搜索法识别障碍点,提出南京市景观格局优化策略。研究结果表明:(1)南京主城区景观破碎化程度较高,40%的生境斑块(约为28.18 km2)对连通性的贡献较低,南部重要廊道的数量最多,局部簇团成网,网络结构较为复杂,其次为中部,且河流廊道(秦淮河)是其主要廊道类型,北部廊道数量最少,斑块多呈孤岛分布;(2)研究区共有155处障碍点,其中84.5%面积小于5hm2,可见主城区景观连通性仍有较大的提升空间。研究丰富了城市绿色基础设施景观格局的构建方法,对南京主城区绿色基础设施的连通性与格局优化具有一定的实践指导意义与参考价值。

关 键 词:绿色基础设施  景观连通性  电路理论  障碍点识别
收稿时间:2018/1/25 0:00:00
修稿时间:2018/3/29 0:00:00

Structure optimization of circuit theory-based green infrastructure in Nanjing, China
LIU Ji,YIN Haiwei,KONG Fanhua and LI Muhan.Structure optimization of circuit theory-based green infrastructure in Nanjing, China[J].Acta Ecologica Sinica,2018,38(12):4363-4372.
Authors:LIU Ji  YIN Haiwei  KONG Fanhua and LI Muhan
Institution:School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China,School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China,International Institute for Earth System Sciences, Nanjing University, Nanjing 210023, China and School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China
Abstract:The connectivity of urban green infrastructure (UGI) can significantly improve the biodiversity and sustainable development ability of cities, which is of great significance to maintaining the health and stability of urban ecosystems. In the present study, we used circuit theory to map the landscape connectivity of UGI in the main urban area of Nanjing and identify the important patches and corridors according to current density, and then used a search window to detect barriers and to develop a landscape connectivity optimization strategy for Nanjing. 1) Habitat fragmentation in the main urban area of Nanjing was significant. The total area of the patches was about 70.45 km2, and 40% of patches area had a low contribution to connectivity. The southern part of the study area exhibited the best landscape connectivity, followed by the middle and northern parts. In the south, numerous corridors clustered into net structure, and the network structure is complex. In the middle of the study area, the Qinhuai River mainly formed a circular corridor. Relatively few corridors were observed in the northern part of the study area, and the patches were isolated. 2)There were 155 barriers in the study area, and 84.5% of those barriers were >5 hm2, so the landscape connectivity in the main urban area of Nanjing can still improve greatly. Although many methods have been developed and used for predicting connectivity, circuit theory has rarely been used to map connectivity in urban areas. The present study demonstrates how circuit theory can be used to map connectivity in complex landscape and to identify important habitat patches and movement corridors for conservation planning, which is an advance in mapping the landscape connectivity of UGI. The circuit theory incorporates all possible pathways and combines structural and functional corridors, which improves corridor redundancy and provides an efficient and cost-effective tool for mapping UGI landscape connectivity. The results of this study provided an important reference for Nanjing UGI networks.
Keywords:green infrastructure  landscape connectivity  circuit theory  barrier mapper
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