College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China.
School of Economics and Management, Northwest University, Xi'an 710127, China.
Int J Environ Res Public Health. 2021 Jul 23;18(15):7836. doi: 10.3390/ijerph18157836.
Mastering the coupling and coordination relationship and driving mechanism of urbanization and ecosystem service value (ESV) is of great significance to ecological protection and regional sustainable development. In this paper, the coupling coordination model, geographic detector and GWR model are used to analyze the spatio-temporal coupling interaction between urbanization and ESV and the spatial differentiation characteristics of influencing factors from 1995 to 2018. The results of the study are as follows: (1) During the study period, cities in the Yellow River Basin experienced accelerated urban expansion, and the ESV of forests, water and wetlands increased, which offset the reduction in ESV due to the expansion of construction land and farmland and grassland. (2) The degree of coupling and coordination between the two gradually improved, but the overall situation showed a low-level coupling and coordination process. Mild coupling coordination gradually increased, reaching an increase of 38.10%; severe imbalance types tended to disappear, decreasing by 52.38%, and coupling subtypes developed from lagging urbanization to ESV backward types. The high-value areas of the coupling coordination degree are distributed in the high-value areas of ESV in the north of the upper reaches, and the low-value areas are distributed in the cities of Henan and Shandong with high urbanization levels in the downstream and most resource-based cities in the middle reaches. (3) In addition, the spatial intensity of the effect of each dominant factor on the degree of coupling coordination is different. Economic growth, technological development, environmental regulations and the proportion of forest land have positive and belt-shaped alienation characteristics for the coupling and coordination of the two, and infrastructure and temperature show negative driving characteristics. Therefore, the coupling and coordination relationship between ESV and urbanization should be clarified to help future urban planning. On the basis of determining the regional environmental carrying capacity and the adjustment direction of the rational planning of land resources, the impact of urban barriers formed by administrative boundaries and natural geographical conditions on the development of urban agglomerations should be broken to achieve the overall high-quality and coordinated development of the basin.
掌握城市化与生态系统服务价值(ESV)的耦合协调关系及其驱动机制,对生态保护和区域可持续发展具有重要意义。本文运用耦合协调模型、地理探测器和 GWR 模型,分析了 1995 年至 2018 年城市化与 ESV 的时空耦合关系及影响因素的空间分异特征。结果表明:(1)研究期间,黄河流域城市经历了快速的城市扩张,森林、水和湿地的 ESV 增加,抵消了建设用地和耕地、草地扩张导致的 ESV 减少;(2)两者的耦合协调程度逐渐提高,但总体呈现低水平耦合协调过程,轻度耦合协调逐渐增加,增长了 38.10%;严重失调类型趋于减少,下降了 52.38%,耦合类型由滞后城市化向 ESV 滞后类型发展;高耦合协调度值区分布在 ESV 高值区的上游北部,低值区分布在下游河南、山东等城市化水平较高的城市和中游大部分资源型城市;(3)此外,各主导因素对耦合协调度的空间影响强度不同,经济增长、技术发展、环境规制和林地比例对两者的耦合协调具有正向且呈条带状的异化特征,基础设施和温度表现出负向的驱动特征。因此,应厘清 ESV 与城市化的耦合关系,为未来城市规划提供帮助。在确定区域环境承载力和土地资源合理规划调整方向的基础上,打破行政边界和自然地理条件形成的城市壁垒对城市群发展的影响,实现流域整体高质量协调发展。