Li Changru, Han Han, Cui Ningbo, Lan Ping, Zhang Kaize, Zhou Xiaochuan, Guo Li
School of Public Administration, Hohai University, Nanjing, 211100, China.
School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou, 450045, China.
Sci Rep. 2024 Dec 28;14(1):31286. doi: 10.1038/s41598-024-82675-2.
Addressing the need to harmonize environment conservation and sustainable economic development within the Yellow River Basin (YRB) requires a profound comprehension of the spatiotemporal dynamics of urban ecosystem resilience. This study developed an index system utilizing the resistance-adaptability-recovery framework to measure these dynamics. By applying the advanced multi-attribute boundary area comparison method and a spatial autocorrelation model, we investigated the spatiotemporal variations and spatial correlation patterns of urban ecological resilience across the YRB. The results of this study indicated that: (1) from 2011 to 2020, the value of urban ecological resilience index (UERI) in the YRB consistently ranged between 0.43 and 0.83, and the resilience degree of the urban ecosystem in the YRB progressively improved, with notably higher resilience in the southeast compared to the northwest; (2) the resilience degree of the urban ecosystem in the YRB was non-equilibrium in space. Spatial analysis indicates significant disparities in resilience levels across different areas within the YRB, marked by considerable fluctuations in the global Moran's I index and significant changes in local autocorrelation clustering patterns; and (3) key factors such as wastewater discharge volume, sewage treatment rate, and the rate of non-hazardous treatment of domestic waste were identified as critical determinants of the overall ecological resilience. This research not only deepens our understanding of the factors driving urban ecological resilience but also aids in the formulation of strategic regional policy for sustainable development across the YRB.
解决黄河流域环境保护与可持续经济发展协调统一的需求，需要深刻理解城市生态系统恢复力的时空动态。本研究利用抵抗力 - 适应力 - 恢复力框架开发了一个指标体系来衡量这些动态。通过应用先进的多属性边界区域比较方法和空间自相关模型，我们研究了黄河流域城市生态恢复力的时空变化和空间相关模式。本研究结果表明：（1）2011年至2020年，黄河流域城市生态恢复力指数（UERI）值始终在0.43至0.83之间，黄河流域城市生态系统的恢复力程度逐步提高，东南部的恢复力明显高于西北部；（2）黄河流域城市生态系统的恢复力程度在空间上不均衡。空间分析表明，黄河流域不同区域的恢复力水平存在显著差异，表现为全局莫兰指数（Moran's I）有较大波动，局部自相关聚类模式有显著变化；（3）废水排放量、污水处理率和生活垃圾无害化处理率等关键因素被确定为整体生态恢复力的关键决定因素。本研究不仅加深了我们对驱动城市生态恢复力因素的理解，也有助于制定黄河流域可持续发展的区域战略政策。
