JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2024, Vol. 48 ›› Issue (2): 199-208.doi: 10.12302/j.issn.1000-2006.202204070

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The optimization of ecological spatial network in Jiuquan City based on the evaluation of ecological environment quality

QIU Shi(), YU Qiang*(), LIU Hongjun, WANG Huiyuan, LI Song, YUE Depeng   

  1. College of Forestry, Beijing Forestry University, Beijing 100083, China
  • Received:2022-04-29 Revised:2022-06-08 Online:2024-03-30 Published:2024-04-08

Abstract:

【Objective】 The objective of this study is to construct and optimize the ecological spatial network in Jiuquan City, aiming to enhance the quality of the ecological environment, harness regional ecological functions, and prevent desert expansion. 【Method】 By integrating remote sensing ecological index (RSEI) with the ecological spatial network, this study assessed the spatial pattern of landscape in Jiuquan City. By using complex network theory, the study identified weak ecological source areas and proposed optimization strategies. 【Result】 (1) The RSEI exhibited a spatial pattern in the Jiuquan City, with low values in the northern region and high values in the central and southern regions. (2) The potential ecological spatial network in Jiuquan City comprised 332 ecological nodes and 656 ecological corridors. Through the simulation of additional edges based on the region with the lowest RSEI, 242 edges were added, resulting in the inclusion of nine ecological stepping stones. (3) After the addition of edges, there was a noticeable improvement in the robustness of network nodes and connections, while the improvement in edge robustness was slight and not significant. 【Conclusion】 The optimization strategies of adding edges and stepping stones to weak ecological areas can enhance the stability and ecological restoration capacity of the ecological spatial network in Jiuquan City. The construction of new ecological corridors to enhance connectivity between source areas would facilitate regional ecological benefits and provide strategies for future ecological engineering projects in Jiuquan City.

Key words: remote sensing ecological index(RSEI), ecological quality evaluation, ecological spatial network, edge-increasing optimization, robustness

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