The coupling relationship and driving mechanism between urbanization and ecosystem services in the Yellow River Basin from a multi-spatial scale perspective

• Published in: PloS one 2023-12, Vol.18 (12), p.e0293319-e0293319
• Main Authors: Zhang, Jinyuan, Zhang, Zhongwu, Liu, Liping, Bai, Xue, Wang, Shiyu, Kang, Lei, Cai, Xingran
• Format: Article
• Language: English
• Subjects: Agglomeration; China; Cities; Climate change; Computer centers; Conservation of Natural Resources; Coordination; Coupling; Economic aspects; Economic Development; Ecosystem; Ecosystem services; Ecosystems; Environmental aspects; Environmental economics; Environmental impact; Environmental protection; GDP; Gross Domestic Product; Health aspects; Land use; Natural resources; Precipitation; Protection and preservation; Provinces; Public policy; River basins; River ecology; Rivers; Soil erosion; Sustainable Development; Urban areas; Urban development; Urbanization; Watershed management
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0293319

Rapid urbanization has led to ecological destruction and associated issues. Macro policies wield substantial influence over urbanization and its relationship with the environment. Without considering the differences in scale, macro policies may be ineffective at addressing urbanization's adverse impacts on the environment, and even worsen this relationship. We used data on 622 counties, 76 prefectures, and 7 urban agglomerations in the Yellow River Basin to examine the development level, coupling coordination degree, and spatial patterns of urbanization and ecosystem services at three scales during 2000-2020. Further, we explored the driving mechanisms in the relationship between urbanization and ecosystem services. We found that: First, the coupling coordination was relatively low but showed an upward trend. A sizeable spatiotemporal difference existed, with higher (lower) coordination in the east (west). Second, the coupling coordination of each scale exhibited significant spatial positive correlations. The low-value heterogeneous region was embedded around the agglomeration region, and polarization was significant. The larger the scale, the stronger the agglomeration effect. Further, the coupling coordination spatial agglomeration effect of each scale gradually weakened over time. Third, the spatial and temporal distributions of coupling coordination and its agglomeration characteristics at different scales differed. The urban agglomeration scale showed significant overall coordination or agglomeration characteristics, and prefecture and county regions showed local and unique characteristics within urban agglomerations. Fourth, the dominant factors influencing the spatial patterns of the coupling coordination at the county, prefecture, and urban agglomeration scales differed. The interaction and factor detection showed linear and double-factor enhancements. We find that economic development, government policies, environmental protection, and natural factors are the combined effects of urbanization and ecosystem services. Our research method can provide a reference for other river basins, and the results can help governments in formulating policies for sustainable development at different spatial scales.