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生态学杂志 ›› 2025, Vol. 44 ›› Issue (11): 3724-3734.doi: 10.13292/j.1000-4890.202511.026

• 研究报告 • 上一篇    下一篇

基于形态学空间格局分析的西安市公园绿地空间格局及降温效应

马孟婷1,王以诚1,黄晓军1,2,3*   

  1. 1西北大学城市与环境学院, 西安 710127; 2陕西省地表系统与环境承载力重点实验室, 西安 710127; 3陕西西安城市生态系统定位观测研究站, 西安 710127)

  • 出版日期:2025-11-10 发布日期:2025-11-12

Spatial pattern and cooling effect of park green space in Xi’an based on morphological spatial pattern analysis.

MA Mengting1, WANG Yicheng1, HUANG Xiaojun1,2,3*#br#

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  1. (1College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China; 2Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Xi’an 710127, China; 3Shaanxi Xi’an Urban Forest Ecosystem Research Station, Xi’an 710127, China).

  • Online:2025-11-10 Published:2025-11-12

摘要: 公园绿地是缓解城市热环境的重要途径之一。厘清公园绿地空间格局的降温效应对于优化城市生态网络、精细化管理城市绿色资源至关重要。以西安市主城区18个公园绿地为研究对象,基于形态学空间格局分析对绿地空间格局进行量化,从点状、线状、面状格局来分析绿地内部空间格局对绿地平均地表温度、降温距离、降温强度的影响。结果表明:地表温度与支线、孤岛、桥接区正相关,与核心区负相关;降温距离与核心区正相关,与支线负相关;降温强度则与核心区正相关,与桥接区、支线、孤岛负相关,可通过合理控制桥接区、边缘区、环道区等占比,同时兼顾格局比例及分布情况来优化相应的降温效果。而对地表温度、降温强度、降温距离贡献度最大的均为核心区,同时其他空间格局之间的交互作用也均对降温效应产生影响,可通过在绿地格局较为分散的区域增大核心绿地规模,合理构建连接不同核心区的桥接区域,充分利用边缘效应创造环道区,延伸支线并整合孤岛来最大化绿地的整体生态效益和降温效应。


关键词: 公园绿地, 形态学空间格局分析, 降温效应

Abstract: Park green space is one of the important ways to mitigate the urban thermal effect. Clarifying the cooling effect of the spatial pattern of park green space is crucial for optimizing the urban ecological network and fine-tuning the management of urban green resources. Taking 18 park green spaces in the main urban area of Xi’an City as the research object, we quantified the spatial pattern of green spaces based on morphological spatial pattern analysis, and examined the effects of the internal spatial pattern of green spaces on the average surface temperature, cooling distance, and cooling intensity of the green spaces in terms of point, line, and surface patterns. The results showed that surface temperature was positively correlated with branch lines, isolated islands and bridging areas, and negatively correlated with the core area. Cooling distance was positively correlated with the core area and negatively correlated with branch lines. Cooling intensity was positively correlated with the core area and negatively correlated with the bridging area, branch lines, and isolated islands. The cooling effect could be optimized by reasonably controlling the ratio of bridging area, fringe area, and ring road area, and taking into consideration of the proportion of the pattern and the distribution situation. The core area contributed the most to surface temperature, cooling intensity, and cooling distance. The interaction between other spatial patterns also affected the cooling effect. The overall ecological benefit and cooling effect of green space can be maximized by increasing the scale of core green space in areas with relatively scattered green space patterns, reasonably constructing bridge areas connecting different core areas, fully utilizing edge effects to create ring road areas, extending branch lines and integrating isolated islands.


Key words: park green space, morphological spatial pattern analysis, cooling effect