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生态学杂志 ›› 2023, Vol. 42 ›› Issue (6): 1527-1536.doi: 10.13292/j.1000-4890.202306.014

• 技术与方法 • 上一篇    

基于形态学空间格局分析与图谱理论的成都市绿地生态网络优化

周媛1,唐密2*,陈娟1,黎贝1   

  1. 1西南民族大学建筑学院, 成都 610225; 2四川省城乡建设研究院, 成都 610095)
  • 出版日期:2023-06-10 发布日期:2023-06-05

Optimization of urban green space ecological network in Chengdu based on morphological spatial pattern analysis and graph theory.

ZHOU Yuan1, TANG Mi2*, CHEN Juan1, LI Bei1   

  1. (1Architecture College, Southwest Minzu University, Chengdu 610225, China; 2Sichuan Urban and Rural Construction Research Institute, Chengdu 610095, China).

  • Online:2023-06-10 Published:2023-06-05

摘要: 绿地生态网络的构建是城市绿地有效发挥其复合生态效能的重点,对促进城乡生态环境的可持续发展具有重要意义。本文以成都市中心城区为例,基于形态学空间格局分析(MSPA)和图谱理论,以2020年成都市Landsat 8 OLI和高分辨率遥感影像为基本数据源,提取成都市中心城区绿地空间分布信息,量化绿地生态网络空间连通性特征,探讨城市绿地生态网络的优化结构。结果表明:利用MSPA方法可有效识别出具有重要意义的核心区及连接桥区。采用图谱理论构建的绿地生态网络呈现如下特征:在中心城区南、北部区域多以河流廊道为主,且网络结构复杂,西部区域多以孤岛型分布的绿地斑块为主,而廊道数量相对较少;绿地生态网络的连通性区域差异特征明显,呈现由西向东、由外围向中心逐渐递减的变化趋势。最后,依据图谱理论指数,选取重要生态源地、踏脚石斑块及重要连通性生态廊道等关键要素,优化成都市中心城区绿地生态网络结构。基于MSPA与图谱理论的绿地生态网络优化对城市绿地系统规划具有一定的理论借鉴和方法支撑。


关键词: 形态空间格局, 空间连通性, 结构优化, 城市绿地, 生态网络

Abstract: The construction of green space ecological network is a key point for urban and rural green space to play its compound ecological efficiency, which is of great significance for promoting the sustainable development of urban and rural ecological environment. In this study, we extracted the spatial distribution information of green space in the central urban area of Chengdu to quantify the spatial connectivity characteristics of green space ecological network, and examined the optimal structure of urban green space ecological network by using morphological spatial pattern analysis (MSPA) and graph theory. The results showed that MSPA method could effectively identify the systemically important core areas and connecting-bridge areas. The green space ecological network constructed by graph theory presented the following characteristics: (1) The south and north parts of Chengdu were dominated by river corridors, with complex network structure. (2) The west part of Chengdu was dominated by isolated island green patches, with relatively less corridors. (3) The connectivity of green space network had obvious spatial differences, with a decreasing trend from west to east and from periphery to center. Finally, based on the graph metrics, important ecological sources, stepping-stone patches and important connected ecological corridors were selected in the central Chengdu to optimize the structure of green space ecological network. The optimization of green space ecological network based on MSPA and graph theory has crucial theoretical reference and method support for urban green space system planning.


Key words: morphological spatial pattern, spatial connectivity, structural optimization, urban green space, ecolo gical network.