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以南京市为研究区,通过对1988、2000、2013年的TM/ETM遥感影像数据进行监督分类,获取了研究区3个时期的土地利用类型图,并采用形态学空间格局分析(MSPA)方法,获取了研究区3个时期的绿色基础设施(GI)景观类型图,进而对其时空格局变化进行了定量分析;采用景观连通性指数和景观图谱理论,对研究区核心区的景观连通性格局变化进行了定量评价。结果表明:1988—2013年,研究区GI总面积以较慢的速度递增,表明南京市实施的一系列“绿色南京”战略性工程取得了一定的成效;1988—2013年,核心区、边缘面积有所增长,而桥接区、分支则持续减少,环岛区整体上有所减少,表明城市景观破碎化程度增加,景观连通性有所降低;基于景观连通性指数的GI网络分析结果表明,南京市GI网络整体连通性、可能连通性水平均先减后增,基于图谱理论的GI网络连接度水平先增后减,从总体上来看,研究区GI的连通性水平依然比较低;南京GI网络格局的案例分析结果表明,融合MSPA、景观连通性、图谱理论的GI格局变化研究为GI格局变化分析提供了新的框架。研究结果可为研究区GI网络的规划与优化提供参考,对其他地区GI网络的规划建设也具有一定的借鉴意义。
Taking Nanjing as the research area, the land use types maps of the three periods of the study area were obtained by monitoring the TM / ETM remote sensing image data of 1988, 2000 and 2013, and the spatial pattern analysis (MSPA) method was used , Obtained the landscape type maps of green infrastructure (GI) in three periods of the study area, and then quantitatively analyzed the spatial and temporal changes of the landscape pattern. Based on the landscape connectivity index and landscape pattern theory, the landscape connectivity patterns in the core area of the study area Changes were quantitatively evaluated. The results show that from 1988 to 2013, the total area of GIs in the study area increased at a relatively slow rate, indicating that a series of “Nanjing Nanjing” strategic projects implemented in Nanjing have achieved some success. From 1988 to 2013, the core areas, Edge area increased while the bridging area and branches continued to decrease, while the number of island areas decreased as a whole, indicating the fragmentation degree of urban landscape increased and landscape connectivity decreased. Based on the GI network analysis of landscape connectivity index, The overall connectivity of the GI network in Nanjing may decrease first and then increase. The level of GI network connectivity based on atlas theory first increases and then decreases. Generally speaking, the connectivity level of the GI in the study area is still relatively low. Nanjing GI The result of case analysis of network pattern shows that the study of GI pattern change based on MSPA, landscape connectivity and graph theory provides a new framework for the analysis of GI pattern change. The research results can provide reference for the planning and optimization of the GI network in the study area and also have certain reference significance for the planning and construction of GI networks in other regions.