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以南京市为研究区,基于ArcGIS、Erdas、GuidosT oolbox和Conefor等软件平台,采用形态学空间格局分析(MSPA)和景观连通性分析方法,通过在MSPA中设置不同的粒度、边缘宽度和在景观连通性分析中设置不同的扩散距离阈值,对2013年南京市绿色基础设施网络格局变化的尺度效应、边缘效应与距离效应进行评价.结果表明:基于MSPA获取的景观类型构成存在明显的尺度效应和边缘效应,且边缘效应对MSPA景观类型的影响较尺度效应更为明显.不同扩散距离对景观连通性的影响很大,对于南京市来说,2 km或2.5 km是关键的扩散距离阈值.当输入数据选择粒度30 m、边缘宽度30 m时,可以得到南京市城市绿色基础设施(UGI)网络更为详尽的景观信息.基于MSPA与景观连通性方法,分析尺度效应、边缘效应、距离效应对研究区UGI网络景观类型的影响,有助于选择合适的粒度、边缘宽度及扩散距离,并更好地理解UGI网络的空间格局和与生态过程相关的尺度效应和距离效应,从而使得UGI网络时空格局变化分析时的参数设置更为科学合理.研究结果可为中尺度范围内UGI景观网络时空格局分析时的参数设置提供重要的参考和依据,对其他地区UGI景观网络的分析也具有一定的借鉴意义.
Using Nanjing as the research area, based on ArcGIS, Erdas, GuidosToolbox, and Conefor software platforms, using Morphological Spatial Pattern Analysis (MSPA) and landscape connectivity analysis methods, by setting different particle sizes, edge widths, and landscapes in the MSPA Different diffusion distance thresholds were set in the connectivity analysis to evaluate the scale effect, edge effect and distance effect of the changes in the pattern of green infrastructure network in Nanjing in 2013. The results show that there are obvious scale effects on the composition of landscape types based on MSPA acquisition. Edge effects, and edge effects on the MSPA landscape types are more significant than the scale effect. Different diffusion distances have a great influence on landscape connectivity. For Nanjing, 2 km or 2.5 km is the key diffusion distance threshold. When the input data selection granularity is 30 m and the edge width is 30 m, more detailed landscape information of the Nanjing Urban Infrastructure (UGI) network can be obtained. Based on the MSPA and landscape connectivity methods, the scale effect, edge effect and distance effect are analyzed. The influence of UGI network landscape types in the study area will help select the appropriate grain size, edge width, and diffusion distance, and A good understanding of the spatial pattern of the UGI network and the scale and distance effects related to the ecological process make the parameters of the UGI network time-space pattern change more scientific and reasonable. The research results can be the spatial-temporal pattern of the UGI landscape network in the mesoscale range. The parameter setting during analysis provides important reference and basis, and also has certain reference significance for the analysis of UGI landscape network in other regions.