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从多空间尺度视角看黄河流域城镇化与生态系统服务的耦合关系及其作用机制。

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

机构信息

College of Geographic Science, Shanxi Normal University, Taiyuan, China.

Institute of Human Geography, Institute of Ecology and Environment of Yellow River Basin, Taiyuan, China.

出版信息

PLoS One. 2023 Dec 7;18(12):e0293319. doi: 10.1371/journal.pone.0293319. eCollection 2023.

Abstract

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.

摘要

快速城市化导致了生态破坏和相关问题。宏观政策对城市化及其与环境的关系有很大影响。如果不考虑规模差异,宏观政策可能无法有效应对城市化对环境的不利影响,甚至会使这种关系恶化。我们利用黄河流域 622 个县、76 个地级市和 7 个城市群的数据,研究了 2000-2020 年城市化和生态系统服务在三个尺度上的发展水平、耦合协调度和空间格局。进一步探讨了城市化与生态系统服务关系的驱动机制。结果表明:(1)协调度较低,但呈上升趋势。存在较大的时空差异,东部(西部)协调度较高(较低)。(2)各尺度的协调耦合度具有显著的空间正相关性。集聚区周围存在低值异质区,极化现象显著。尺度越大,集聚效应越强。此外,各尺度的协调耦合空间集聚效应随时间逐渐减弱。(3)不同尺度的协调耦合及其集聚特征的时空分布存在差异。城市群尺度表现出显著的整体协调或集聚特征,而地级市和县级区域在城市群内部表现出局部和独特的特征。(4)影响县域、地级市和城市群耦合协调空间格局的主导因素不同。交互作用和因子检测显示线性和双因子增强。我们发现,经济发展、政府政策、环境保护和自然因素是城市化和生态系统服务的综合影响。我们的研究方法可以为其他流域提供参考,研究结果可以帮助政府在不同空间尺度上制定可持续发展政策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/979d/10703268/4a85989d9b71/pone.0293319.g001.jpg

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