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Construction of ecological network in Qujing city based on MSPA and MCR models
Construction of ecological network in Qujing city based on MSPA and MCR models
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Construction of ecological network in Qujing city based on MSPA and MCR models
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Construction of ecological network in Qujing city based on MSPA and MCR models
Construction of ecological network in Qujing city based on MSPA and MCR models

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Construction of ecological network in Qujing city based on MSPA and MCR models
Construction of ecological network in Qujing city based on MSPA and MCR models
Journal Article

Construction of ecological network in Qujing city based on MSPA and MCR models

2024
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Overview
With the rapid advancement of urbanization and industrialization, ecological patches within cities and towns are fragmented and ecological corridors are cut off, regional ecological security is threatened and sustainable development is hindered. Building an ecological network that conforms to regional realities can connect fragmented patches, protect biodiversity and regional characteristics, and provide scientific reference for regional ecological protection and ecological network planning. By taking Qilin District, the main urban area of Qujing City as an example, and using geospatial data as the main data source, based on morphological spatial pattern analysis (MSPA) and minimum cumulative resistance (MCR), this study identified ecological source areas, extracted ecological corridors, and build & optimize ecological networks. (1) All landscape types are identified based on MSPA, the proportion of core area was the highest among all landscape types, which was 80.69%, combined with the connectivity evaluation, 14 important ecological source areas were selected. (2) 91 potential ecological corridors were extracted through MCR and gravity models, there were 16 important ones. (3) The network connectivity analysis method is used to calculate the α, β, and γ indexes of the ecological network before optimization, which were 2.36, 6.5, and 2.53, while after optimization, α, β and γ indices were 3.8, 9.5 and 3.5, respectively. The combined application of MSPA-MCR model and ecological network connectivity analysis evaluation is conducive to improving the structure and functionality of ecological network.