中国城市林业2025，Vol.23Issue(4)：1-11,11.DOI:10.12169/zgcsly.2025.07.25.0001
城市蓝绿空间生态效益测度及关键影响因子识别
Ecological Benefits Measurement and Key Influencing Factor Identification for Urban Blue-Green Spaces:A Case Study of Nanjing City Core
摘要
Abstract
[Objective]This study aims to explore methods for measuring the ecological benefits of urban blue-green spaces and identify their key influencing factors,so as to provide a basis for the optimization of urban blue-green spaces.[Method]Taking the Nanjing city core as the study area,we construct an AHP-Entropy Weight-TOPSIS model to measure ecological benefits across four dimensions,i.e.,stormwater resilience,cooling effect,carbon sequestration,and biodiversity.A GWR-XGBoost model is then developed to identify key influencing factors,and the SHAP model is employed to analyze the mechanisms through which these factors affect the ecological benefits of blue-green spaces.[Result]1)The ecological benefits in Nanjing city core exhibit significant spatial heterogeneity.Areas with high ecological benefits tend to be continuously clustered,whereas areas with low ecological benefits are more dispersed;2)Among natural factors,DEM and SLOPE have significant impacts on ecological benefits.In terms of spatial pattern metrics,key influencing factors include PLAND,SPLIT,ED,and PLADJ at the class level,and AREA,CONTIG,ENN,FRAC,and CIRCLE at the patch level.[Conclusion]The scale,spatial layout,morphology,and internal structure of blue-green spaces all have an influence of varying degrees on their ecological benefits.The future research should select measurement indicator in line with local conditions,focus on influencing factors in broader spectrum,incorporate longer time series and wider spatial scope,and carry out more refined simulation so as to explore the development prediction and optimized layout of urban blue-green spaces under the goal of ecological benefit enhancement.关键词
城市蓝绿空间/生态效益/影响因子/AHP—熵权—TOPSIS模型/GWR-XGBoost模型Key words
urban blue-green space/ecological benefit/influencing factor/AHP-Entropy Weight-TOPSIS model/GWR-XGBoost model引用本文复制引用
袁旸洋,罗尚岑,郭蔚,杨明珠,陈艺文..城市蓝绿空间生态效益测度及关键影响因子识别[J].中国城市林业,2025,23(4):1-11,11.基金项目
国家自然科学基金重点项目(51838003) （51838003）
东南大学"至善青年学者"支持计划(2242023R4002) （2242023R4002）
