Objectively and scientifically identifying ecological sources (ECSs) and constructing a rational ecological resistance surface (ERS) are critical steps in establishing an ecological security pattern (ESP). By integrating high-quality ecological land and ecosystem services assessment results, this research accurately identifies ECSs in Nanjing. It then employs machine learning models to construct a comprehensive ERS, utilizing interpretability analysis to quantify the contributions and action mechanisms of various factors. Ecological corridors (ECCs) are ultimately established through the application of circuit theory. The results are as follows: (1) A total of 48 ECSs were identified in Nanjing, covering approximately 500.19 km2; (2) The ERS shows a spatial pattern of higher resistance in the north and lower resistance in the south, with normalized difference vegetation index, population density, precipitation, and land use/land cover identified as the major influencing factors; (3) Ninety ECCs were delineated with a total length of approximately 883.22 km, along with 143 ecological pinch points and 20 ecological barrier points. After incorporating ecological stepping stones, the number of ECCs increased by 20, and the total corridor length increased by 54.43 km. Based on these findings, an ESP for Nanjing is constructed to provide scientific support for urban ecological conservation, restoration, and sustainable development.
Chen et al. (Sun,) studied this question.
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