China Aero Geophysical Survey and Remote Sensing Center for Natural ResourcesHost
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2022 Vol. 34, No. 3
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TANG Wenkui, YU Lu, ZHOU Weiqi, YUE Jun, ZHOU Zheng. 2022. Dynamic changes in the landscape connectivity in Shenzhen City determined based on the long time series of remote sensing data. Remote Sensing for Natural Resources, 34(3): 97-105. doi: 10.6046/zrzyyg.2021229
Citation: TANG Wenkui, YU Lu, ZHOU Weiqi, YUE Jun, ZHOU Zheng. 2022. Dynamic changes in the landscape connectivity in Shenzhen City determined based on the long time series of remote sensing data. Remote Sensing for Natural Resources, 34(3): 97-105. doi: 10.6046/zrzyyg.2021229

Dynamic changes in the landscape connectivity in Shenzhen City determined based on the long time series of remote sensing data

  • In the past 30 years, the land use in Shenzhen City has changed dramatically until it is almost saturated now. Using the morphological spatial pattern analysis (MSPA) and the graph theory, this study quantitatively analyzed the landscape connectivity of ecological land in Shenzhen based on ten phases of remote sensing images for land cover or use from 1988 to 2015. The results show that the cultivated land was the main land source in various periods of Shenzhen’s rapid urbanization, while the proportion of forest land used for urban development had risen since 2005. For Shenzhen’s landscape connectivity from 1988 to 2015, the equivalent connected area (ECA) of the ecological land decreased by 1 175.4 km2, and the degree of network connectivity (DOC) decreased by 43.51%. Since the delineation of Shenzhen’s basic ecological control boundary in 2005, the pace of urban habitat degradation has slowed down but the ECA of the ecological land had still been gradually eroded at a rate of 11.9 km2 per year. The analysis of the importance of ecological patches shows that areas like the Yangtai Mountain and Tanglang Mountain are key ecological nodes for landscape connectivity and should be protected with greater efforts.
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