Coupling Coordination Relationship and Driving Mechanism between Urbanization and Ecosystem Service Value in Large Regions: A Case Study of Urban Agglomeration in Yellow River Basin, China

Abstract

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.

Spatially Heterogeneity Response of Critical Ecosystem Service Capacity to Address Regional Development Risks to Rapid Urbanization: The Case of Beijing-Tianjin-Hebei Urban Agglomeration in China

“…Bivariate LISA produces output clustering maps that illustrate the relationship between the ESs value of a particular location and the mean urbanization level of neighboring locations at a certain significance level, providing a more intuitive understanding of the local spatial correlation [61]. The final generated LISA clustering maps revealed four types of local spatial autocorrelation: the high-high (H-H) high-ES surrounded by highurbanization; the high-low (H-L) high-urbanization surrounded by low-ES; the low-high (L-H) low urbanization values surrounded by high-ES; and the low-low (L-L) low urbanization values surrounded by low-ES, which is used to illustrate the spatial relationship between the ESs of a particular site and the level of urbanization of neighboring site.…”

Ecosystem services in Jiangsu province: Changes in the supply and demand patterns and its influencing factors

“…For example, the variability of factors including average annual temperature, elevation, and water network density is small over time. Therefore, our study did not consider the temporal variability characteristics of the factors influencing ecosystem services, but used the driving factors of 2020 to analyze the spatial variability of ESS, ESD, and the coordination of SDES in 2020 (Zhang et al, 2021). Nor did we consider policy factors due to restrictions in accessing the required data.…”

Spatiotemporal Heterogeneity of Urban Land Expansion and Urban Population Growth under New Urbanization: A Case Study of Chongqing

“…Rapid land expansion has brought plenty of fiscal revenues for China, providing much funding to support economic activities and infrastructure construction [8]. However, urban expansion mainly on the basis of land occupation also causes the extensive use of construction lands with low land use efficiency, which also intensifies the contradiction of farmland protection and urban expansion [9][10][11]. The PU is a process in which the proportion of the urban population in the total population increases due to the continuous flow of the nonurban population to urban areas [12].…”