Spatial interaction between urbanization and ecosystem services in Chinese urban agglomerations
Ouyang, Xiao2,4; Tang, Lisha1,3; Wei, Xiao2; Li, Yonghui4
刊名LAND USE POLICY
2021-10-01
卷号109页码:10
关键词Urban agglomeration Urbanization Ecosystem services Spatial interaction
ISSN号0264-8377
DOI10.1016/j.lusepol.2021.105587
通讯作者Tang, Lisha(tangls@igsnrr.ac.cn)
英文摘要Urbanization leads to significant changes in land-use types and affects various ecosystem services. While previous studies have analyzed the interaction between urbanization and ecosystem services at the national, provincial, and city scales, there is insufficient information on the spatial interaction between urbanization and ecosystem services in urban agglomerations for different development levels. To address these research gaps, this study used hot spot analysis and spatial autocorrelation models to measure the spatial interaction between urbanization and ecosystem services in China's ten major urban agglomeration areas for the period 1995-2018. The results found that: (1) China's urban agglomerations have experienced rapid urbanization, exhibiting a rising growth trend at all development levels of urbanization. Those grouped in the growing category exhibited the fastest growth, while those in the mature category posted the slowest growth. The spatial distributions of the urbanization indicators differ significantly. The population density showed a more pronounced clustering feature, while the proportion of urban land use was distributed mainly around the core cities. (2) Different ecosystem services exhibited varying change trends. Food supply increased significantly. Carbon storage decreased in all but two urban agglomerations (Beijing-Tianjin-Hebei and Sichuan-Chongqing). Habitat quality services also decreased in all agglomerations, except for the northern slope of the Tianshan Mountains. In terms of ecosystem service hot spots, there is distinct spatial heterogeneity. Food supply hot spots are concentrated in the plain areas, while habitat quality and carbon storage hot spots are mainly clustered in mountain and water regions. (3) Carbon storage and habitat quality are negatively correlated with the three indicators of urbanization, while food supply is positively correlated with population density and GDP density and negatively correlated with the proportion of urban land use. Urban land expansion is directly linked to the decline in ecosystem services, while population and economic growth have indirect effects. This study can contribute to understanding the correlation between urbanization and ecosystem services, and providing references for high-quality spatial development.
资助项目Major Program of National Social Science Foundation of China[18ZDA040] ; Hunan Social Science Review Committee Project, China[XSP20YBC103]
WOS关键词LAND-USE TRANSITIONS ; RAPID URBANIZATION ; IMPACTS ; EXPANSION ; PATTERNS ; RESOURCE ; CITIES ; VALUES ; AREA ; CITY
WOS研究方向Environmental Sciences & Ecology
语种英语
出版者ELSEVIER SCI LTD
WOS记录号WOS:000702819400010
资助机构Major Program of National Social Science Foundation of China ; Hunan Social Science Review Committee Project, China
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/166060]  
专题中国科学院地理科学与资源研究所
通讯作者Tang, Lisha
作者单位1.Hunan First Normal Univ, Business Sch, Changsha 410205, Peoples R China
2.Hunan Univ Finance & Econ, Hunan Inst Econ Geog, Changsha 410205, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.Hunan Univ Finance & Econ, Sch Engn Management, Changsha 410205, Peoples R China
推荐引用方式
GB/T 7714
Ouyang, Xiao,Tang, Lisha,Wei, Xiao,et al. Spatial interaction between urbanization and ecosystem services in Chinese urban agglomerations[J]. LAND USE POLICY,2021,109:10.
APA Ouyang, Xiao,Tang, Lisha,Wei, Xiao,&Li, Yonghui.(2021).Spatial interaction between urbanization and ecosystem services in Chinese urban agglomerations.LAND USE POLICY,109,10.
MLA Ouyang, Xiao,et al."Spatial interaction between urbanization and ecosystem services in Chinese urban agglomerations".LAND USE POLICY 109(2021):10.
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