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生态学杂志 ›› 2026, Vol. 45 ›› Issue (7): 2401-2413.doi: 10.13292/j.1000-4890.202607.029

• 研究报告 • 上一篇    下一篇

基于时序遥感的城市化和生态环境耦合协调关系空间异质性分析: 以长三角沿海城市带为例

沈星如1,2,3,孙超1,2,3*,赵赛帅4,赵晨伟1,2,3   

  1. 1宁波大学地理与空间信息技术系, 浙江宁波 315211; 2浙江省新型重点专业智库宁波大学东海研究院, 浙江宁波 315211; 3浙江省协同创新&宁波市高等学校协同创新中心“陆海国土空间利用与治理”, 浙江宁波 315211; 4宁波市测绘和遥感技术研究院, 浙江宁波 315042)

  • 出版日期:2026-07-10 发布日期:2026-07-17

Analysis of spatial heterogeneity of the coupling coordination between urbanization and ecological environment using time-series remote sensing: A case study of the coastal urban belt in the Yangtze River Delta.

SHEN Xingru1,2,3, SUN Chao1,2,3*, ZHAO Saishuai4, ZHAO Chenwei1,2,3   

  1. (1Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, Zhejiang, China; 2Ningbo University Donghai Academy, Zhejiang Ocean Development Think Tank Alliance, Ningbo 315211, Zhejiang, China; 3Zhejiang Collaborative Innovation Center & Ningbo Universities Collaborative Innovation Center for Land and Marine Spatial Utilization and Governance Research, Ningbo 315211, Zhejiang, China; 4Ningbo Institute of Surveying, Mapping and Remote Sensing, Ningbo 315042, Zhejiang, China).

  • Online:2026-07-10 Published:2026-07-17

摘要: 随着人类社会持续发展,如何协调城市化与生态环境关系成为实现区域可持续发展的关键问题。与统计数据分析不同,本研究利用时间序列遥感技术细化城市化和生态环境耦合协调关系的空间异质性发展过程——构建了综合夜间灯光指数(CNLI)空间化城市化发展水平,研发了时序遥感生态指数(ts-RSEI)空间化生态环境状况,结合四象限分析和耦合协调度(CCD)模型,揭示了1992—2021年长三角沿海城市带城市化与生态环境耦合协调的空间异质性及其原因。结果表明:(1)上海城市化水平始终领先其他城市,并辐射带动周边城市化发展,对南部地区带动作用尤为明显。(2)生态环境退化呈现以上海和舟山为中心的双峰分布特征,位于两中心间的城市生态质量明显下降。(3)整体上,城市化与生态环境的耦合协调关系从第二象限转向第四象限,CCD呈现“倒U型”趋势由0.356增至0.684后降至0.432。空间上,上海及其周边城市(如南通、嘉兴、宁波、舟山、台州)的城市化与生态环境耦合协调关系从1990年代区域顶峰转变为2020年代区域低谷,但在2015年后,下降趋势逐渐减缓。北部和南部的城市(如连云港、盐城、温州)以及城市郊区在城市化和生态环境耦合协调关系中逐步占据优势。这种空间异质性发展特征与自然资源空间配置和政策驱动的城市基础设施优化密切相关。


关键词: 耦合协调关系, 城市化, 生态环境, 时间序列遥感, 长三角

Abstract: With the continuous development of society, coordinating urbanization with the ecological environment has become a critical challenge for sustainable regional development. This study aims to advance the understanding of spatial heterogeneity in the coupling coordination between urbanization and ecological environment using time-series remote sensing technology, a departure from traditional statistical data analysis. Specifically, we developed a composite nighttime light index (CNLI) to spatially represent urbanization levels and a time-series remote sensing ecological index (ts-RSEI) to assess ecological conditions. By combining quadrant analysis with the coupling coordination degree (CCD) model, we examined the urbanizationecological environment relationship in the coastal urban belt of the Yangtze River Delta during 1992-2021. The results showed that: (1) Shanghai consistently exhibited the highest level of urbanization, driving the urbanization development in neighboring cities, especially in the southern delta. (2) Ecological degradation displayed a bimodal distribution, with significant declines in cities between Shanghai and Zhoushan. (3) Overall, the coupling coordination between urbanization and the ecological environment shifted from the second quadrant to the fourth quadrant. The CCD followed an “inverted U-shaped” trend, increasing from 0.356 to 0.684 and then decreasing to 0.432. Spatially, the coupling coordination between urbanization and the ecological environment in Shanghai and its surrounding cities (e.g., Nantong, Jiaxing, Ningbo, Zhoushan, and Taizhou) shifted from the regional peak in the 1990s to the regional trough in the 2020s, and the downward trend gradually slowed down after 2015. In contrast, cities in the northern and southern delta (e.g., Lianyungang, Yancheng, and Wenzhou) as well as their suburban areas gained an advantage in the coupling coordination between urbanization and ecological environment. This pattern of spatially heterogeneous development is closely linked to the allocation of natural resources and policy-driven urban infrastructure optimization.


Key words: coupling coordination relationship, urbanization, ecological environment, time-series remote sensing, Yangtze River Delta