• 第八届全国景观生态学学术研讨会专栏 •

### 南京市绿色基础设施网络格局与连通性分析的尺度效应

1. 1南京大学城市规划与设计系， 南京 210093； 2南京大学国际地球系统科学研究所， 南京 210023）
• 出版日期:2016-07-18

### Scale effect of Nanjing urban green infrastructure network pattern and connectivity analysis.

YU Ya-ping1, YIN Hai-wei1*, KONG Fan-hua2, WANG Jing-jing1, XU Wen-bin1#br#

1. (1Department of Urban Planning and Design, Nanjing University, Nanjing 210093,China; 2International Institute for Earth System Sciences, Nanjing University, Nanjing 210023, China).
• Online:2016-07-18

Abstract: Based on ArcGIS, Erdas, GuidosToolbox, Conefor and other software platforms, using morphological spatial pattern analysis (MSPA) and landscape connectivity analysis methods, this paper quantitatively analysed the scale effect, edge effect and distance effect of the Nanjing urban green infrastructure network pattern in 2013 by setting different pixel sizes (P) and edge widths in MSPA analysis, and setting different dispersal distance thresholds in landscape connectivity analysis. The results showed that the type of landscape acquired based on the MSPA had a clear scale effect and edge effect, and scale effects only slightly affected landscape types, whereas edge effects were more obvious. Different dispersal distances had a great impact on the landscape connectivity, 2 km or 2.5 km dispersal distance was a critical threshold for Nanjing. When selecting the pixel size 30 m of the input data and the edge wide 30 m used in the morphological model, we could get more detailed landscape information of Nanjing UGI network. Based on MSPA and landscape connectivity, analysis of the scale effect, edge effect, and distance effect on the landscape types of the urban green infrastructure (UGI) network was helpful for selecting the appropriate size, edge width, and dispersal distance when developing these networks, and for better understanding the spatial pattern of UGI networks and the effects of scale and distance on the ecology of a UGI network. This would facilitate a more scientifically valid set of design parameters for UGI network spatiotemporal pattern analysis. The results of this study provided an important reference for Nanjing UGI networks and a basis for the analysis of the spatial and temporal patterns of mediumscale UGI landscape networks in other regions.