Identification of key areas for the ecological restoration of territorial space in Kunming based on the InVEST model and circuit theory
QIN Bin-gui1,2,3, LIN Yi-lin1,2,3, ZHAO Jun-san1,2,3, CHEN Guo-ping1,2,3, HE Wan-cai1,2,3, Lü Qing-zhou1,2,3
1. Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China; 2. Key Laboratory of Geospatial Information Integration Innovation for Smart Mines, Kunming 650093, China; 3. Science and Technology Innovation Team of Natural Resources Spatial Information Integration and Application in Yunnan Universities, Kunming, 650211, China
Abstract:Taking Kunming as a case study area, an ecological security pattern was built based on the InVEST model, landscape connectivity evaluation and circuit theory to identify the key areas for the ecological restoration of territorial space. According to the research, there were 34 ecological source areas in Kunming with an area of 6421.95km2, exhibiting a distribution pattern of being “denser in the west and sparser in the east” and “concentrated in the north and scattered in the south”. 67 ecological corridors were extracted with a total length of 859.72km; the corridors show a spatially variable distribution, forming the ecological security pattern of “one ring, three districts, three screens, six axes and multiple points”; 27 ecological pinches and 33 ecological barriers were identified, forming the key areas for ecological restoration, respectively covering 197.68 and 155.84km2, mostly in southern Kunming. Considering the geographical features and current land types of the key areas, two restoration strategies were proposed, namely, the strategy with natural conservation as the main body and human restoration as the supplement and exerting equal stress on human restoration and natural conservation. The research provided a reference for the ecological restoration of municipal territorial space.
覃彬桂, 林伊琳, 赵俊三, 陈国平, 何万才, 吕青宙. 基于InVEST模型和电路理论的昆明市国土空间生态修复关键区域识别[J]. 中国环境科学, 2023, 43(2): 809-820.
QIN Bin-gui, LIN Yi-lin, ZHAO Jun-san, CHEN Guo-ping, HE Wan-cai, Lü Qing-zhou. Identification of key areas for the ecological restoration of territorial space in Kunming based on the InVEST model and circuit theory. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(2): 809-820.
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