Arid Zone Research ›› 2024, Vol. 41 ›› Issue (5): 856-864.doi: 10.13866/j.azr.2024.05.13

• Ecology and Environment • Previous Articles     Next Articles

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 Online:2024-05-15 Published:2024-05-29

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