干旱区研究 ›› 2024, Vol. 41 ›› Issue (5): 856-864.doi: 10.13866/j.azr.2024.05.13 cstr: 32277.14.j.azr.2024.05.13

• 生态与环境 • 上一篇    下一篇

基于适应性循环的兰西城市群生态网络构建与优化

许静1(), 王德仁2   

  1. 1.兰州财经大学农林经济管理学院,甘肃 兰州 730101
    2.兰州财经大学经济学院,甘肃 兰州 730101
  • 收稿日期:2023-12-08 修回日期:2024-03-20 出版日期:2024-05-15 发布日期:2024-05-29
  • 作者简介:许静(1983-),女,教授,博士,主要研究方向为生态经济学. E-mail: xujing@lzufe.edu.cn
  • 基金资助:
    国家社科基金项目(23BJY198)

Construction and optimization of ecological network of Lanzhou-Xining urban agglomeration based on adaptive cycle

XU Jing1(), WANG Deren2   

  1. 1. College of Agricultural and Forestry Economics and Management, Lanzhou University of Finance and Economics, Lanzhou 730101, Gansu, China
    2. College of Economics, Lanzhou University of Finance and Economics, Lanzhou 730101, Gansu, China
  • Received:2023-12-08 Revised:2024-03-20 Published:2024-05-15 Online:2024-05-29

摘要:

生态网络的构建与优化是遏制景观破碎化和保障区域生态安全的有效途径。以兰西城市群为研究区,以适应性循环理论为基础,耦合粒度反推法与形态学空间格局分析(Morphological Spatial Pattern Analysis,MSPA)识别生态源地,组建“潜力-连通度-韧性”综合生态阻力面,运用电路理论判别生态廊道和关键生态节点,构建生态网络并提出优化对策。结果表明:研究区生态源地空间分布不均且破碎化,总面积4147.84 km2;阻力整体表现为西高东低,并呈以主城为中心向四周递减的趋势;提取生态廊道40条,主要分布在研究区中部,总长度2278.59 km;提取生态夹点24处,多分布在主要河流廊道和生态源地间;判别生态障碍点25处,多位于生态廊道上;生态网络结构指数αβγ分别为0.60、2.00和0.74,通过增设12处踏脚石斑块,αβγ指数分别提高18.33%、14.00%和9.46%。研究结果可以为兰西城市群国土空间开发及生态安全维护提供参考。

关键词: 生态网络, 适应性循环, 生态廊道, 关键生态节点, 粒度反推法, 兰西城市群

Abstract:

The construction and optimization of an ecological network is an effective way to prevent landscape fragmentation and ensure regional ecological security. In this study, the Lanzhou-Xining urban agglomeration was selected as the research area. Using the adaptive cycle as the theoretical basis, coupled with the granularity inverse method and morphological spatial pattern analysis, the ecological sources were identified, and the comprehensive “potential-connectivity-resilience” ecological resistance surface was established. The circuit theory was applied to determine the vital ecological nodes and corridors. On this basis, an ecological network was constructed and optimization strategies were proposed. The results showed that the spatial distribution of ecological sources was uneven and fragmented, covering a total area of 4147.84 km2. As a whole, the resistance of the study area was characterized by a “high in the west and low in the east” trend, decreasing from the main city to surrounding areas. In total, 40 ecological corridors with a total length of 2278.59 km were extracted and distributed in the central part of the study area. Similarly, 24 ecological pinch points were extracted, primarily distributed in major river corridors and ecological sources; 25 ecological barrier points were identified, mostly located in ecological corridors. The structural indices of the ecological network α, β, and γ were 0.60, 2.00, and 0.74, respectively. By adding 12 stepping-stone patches, these indices increased by 18.33%, 14.00%, and 9.46%, respectively. These results can provide a references point for land-space development and ecological security maintenance in the Lanzhou-Xining urban agglomeration.

Key words: ecological network, adaptive cycle, ecological corridors, key ecological points, granularity inverse method, Lanzhou-Xining urban agglomeration