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应用生态学报 ›› 2025, Vol. 36 ›› Issue (2): 547-558.doi: 10.13287/j.1001-9332.202502.023

• 研究论文 • 上一篇    下一篇

河西走廊经济带城镇化与生态韧性的耦合协调分析

李雪婷1, 杨亮洁1,2*, 杨永春3, 李亚赧1   

  1. 1西北师范大学地理与环境科学学院, 兰州 730070;
    2甘肃省绿洲资源环境与可持续发展重点实验室, 兰州 730070;
    3兰州大学资源环境学院, 兰州 730000
  • 收稿日期:2024-07-16 接受日期:2024-12-05 出版日期:2025-02-18 发布日期:2025-08-18
  • 通讯作者: *E-mail: yangljmnx@163.com
  • 作者简介:李雪婷, 女, 1999年生, 硕士。主要从事城市生态、城市韧性研究。E-mail: 510764501@qq.com
  • 基金资助:
    国家自然科学基金地区项目(42361031)、甘肃省科技计划项目-软科学专项(23JRZA402)和西北师范大学绿洲科学科研成果突破行动计划项目(NWNU-LZKX-202306)

Analysis on coupling and coordination of urbanization and ecological resilience in Hexi Corridor Economic Belt, China.

LI Xueting1, YANG Liangjie1,2*, YANG Yongchun3, LI Yanan1   

  1. 1College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China;
    2Gansu Province Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China;
    3College of Earth and Environment Sciences, Lanzhou University, Lanzhou 730000, China
  • Received:2024-07-16 Accepted:2024-12-05 Online:2025-02-18 Published:2025-08-18

摘要: 粗放的经济增长模式加剧了城镇发展与生态韧性之间的矛盾。本研究兼顾生态本底、资源环境代价和城镇化发展,构建了基于规模-密度-形态的生态韧性评价体系和基于人口-经济的双维城镇化评价体系,测度河西走廊经济带城镇化和生态韧性水平,并基于耦合协调度模型探究城镇化与生态韧性的协调关系及时空演化。结果表明: 2010—2023年,河西走廊经济带城镇化水平由0.42波动上升达到0.49,呈中间低、东西两端高的空间格局;城镇化模式显示,金昌市为迅速发展型,张掖市为人口滞后型,酒泉市为缓慢发展型,嘉峪关和武威两市由缓慢发展型上升为迅速发展型。河西走廊经济带生态韧性水平由0.46波动下降至0.45,生态赤字严重;呈西北高、东南低的空间分布格局;从生态韧性模式看,嘉峪关市为生态盈余型,张掖市和武威市为生态赤字型,酒泉市和金昌市为规模、密度双低型。研究区城镇化与生态韧性耦合协调度处于基本协调水平,呈中间低、东西两端高的空间格局。生态韧性子系统对耦合协调作用的异质性显著: 规模韧性对嘉峪关、武威起阻滞作用,对张掖、酒泉起推动作用,对金昌由推动作用转变为阻滞作用;密度韧性对嘉峪关、武威起推动作用,对其余3市起阻滞作用;形态韧性对嘉峪关、张掖起阻滞作用,对其余3市起推动作用。

关键词: 城镇化, 生态韧性, 规模-密度-形态, 耦合协调模型, 河西走廊经济带

Abstract: The model of extensive economic growth has intensified the tensions between urban development and ecological resilience. Taking the ecological context, resource and environmental costs, as well as the urbanization development into consideration, we constructed an ecological resilience evaluation system based on scale-density-morphology and a dual dimensional urbanization evaluation system based on population-economy. We measured the level of urbanization and ecological resilience in the Hexi Corridor Economic Belt, and explored the spatiotemporal variations and coordination relationship and between urbanization and ecological resilience based on a coupled coordination degree model. From 2010 to 2023, urbanization levels in the Hexi Corridor Economic Belt fluctuated between 0.42 and 0.49, exhibiting a spatial pattern characterized by low at the center and high at the east and west sides. With respect to urbanization modes, Jinchang was rapid development type, Zhangye was population lagging type, Jiuquan was slow developing type, and Jiayuguan and Wuwei had risen from a slow developing type to a rapid developing type. The ecological resilience levels in the Hexi Corridor Economic Belt fluctuated from 0.46 to 0.45, showing a significant ecological deficit. This ecological resilience exhibited a spatial distribution pattern marked by high values in the northwest and low values in the southeast. In term of ecological resilience category, Jiayuguan was an ecological surplus type, Zhangye and Wuwei were ecological deficit type, Jiuquan and Jinchang were dual-low type concerning both scale and density. Urbanization and ecological resilience was basically coordinated, showing a spatial pattern of low in the middle and high at east and west sides. The heterogeneity of the coupling and coordination effects of the ecological resilience subsystem was significant, the scale resilience hindered Jiayuguan and Wuwei, promoted Zhangye and Jiuquan, and transformed Jinchang from a promoting effect to a blocking effect. Density resilience had promotive effects in Jiayuguan and Wuwei, but inhibitive effects in the other three cities. Morphological resilience had inhibitive effects in Jiayuguan and Zhangye, but promotive effects in the other three cities.

Key words: urbanization; ecological resilience; scale-density-morphology; coupling coordination model; Hexi Corridor Economic Belt