Evolution of coordination degree of eco-economic system and early-warning in the Yangtze River Delta

• Published in: Journal of geographical sciences Vol. 23; no. 1; pp. 147 - 162
• Main Authors: Wang, Zhenbo, Fang, Chuanglin, Cheng, Shaowen, Wang, Jing
• Format: Journal Article
• Language: English
• Published: Heidelberg SP Science Press 01.02.2013; Springer Nature B.V; Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China%College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
• Subjects: Asia; Bgi / Prodig; Brackish; China; Earth and Environmental Science; Economic development; Economics; Ecosystem services; Freshwater; GDP; Geographical Information Systems/Cartography; Geography; Grasslands; Gross Domestic Product; Land use; Landsat; Nature Conservation; Pattern recognition; Physical Geography; Regional studies; Remote sensing; Remote Sensing/Photogrammetry; Rivers; Spatial analysis; Urban areas; Warning systems; 协调度; 国内生产总值; 数据转换模型; 早期预警; 生态系统服务价值; 生态经济系统; 长江三角洲地区; 长江三角洲经济区; Yangtze; China; Qinghai; Yangtze River Delta; China, People's Rep., Changjiang R; rapid urbanization region; eco-service value; LUCC; Yangtze River Delta; early-warning; eco-economic coordination; Impact; Regional economy; Ecosystem; Urbanization; Core-periphery; Economic development; Gross domestic product; Land use; Economic system
• ISSN: 1009-637X; 1861-9568
• DOI: 10.1007/s11442-013-1000-3

On the basis of Landsat TM data of the Yangtze River Delta （YRD） Economic Zone in 1991, 2001 and 2008, this article, taking 90 counties in this region as study units, built spatial data transformation models, ecosystem service value （ESV） and coordination degree of eco-economic system （CDES） models. With the aid of ArcGIS9.3, mass grid and vector data has been processed for spatial analyses. ESV and CDES indexes have demonstrated the relationship between economic development and eco-environment system and its evolu- tion characteristics in the researched areas. Furthermore, the indexes have also been used for functional zoning and pattern recognition. Some results can be shown as follows. Firstly, since 1991, land use in the YRD has greatly changed： urban land area has increased primar- ily from original paddy land, dry land, grassland, garden plot and other land. Secondly, the ESV model has proved the deterioration trend of the YRD ecological system from 1991 to 2001 and slower degradation trend during 2001-2008. Also, it is illustrated that land-use conversion from water area and paddy field to urban area and dry land could cause great damage to ecosystem stabilization. Thirdly, GDP in the central and southern parts of the YRD is higher than that in the northern part since 1991. GDP growth rate in the central part is higher than that in the northern part during 1991-2001. This growth rate in the central part is also higher than that in the southern and northern parts of the YRD from 2001 to 2008. Fourthly, the YRD could be categorized into 12 types of subregions in terms of CDES index. According to its spatial characteristic of CDES index value in the study area, eco-economic conflict area with low CDES value which is located in the central part is surrounded by eco-coordinated areas with high CDES values. This illustrates a core-periphery spatial structure exists in the YRD. During 1991-2001, the CDES value implied the convergent de- terioration trend of eco-economic system in the study area; while it gradually stepped into coexistence of divergent deterioration and coordination during 2001-2008. Finally, this paper analyzed five subregions in the YRD, including initially degrading zone, initially coordinative zone, continuously degrading zone, coordination-declined.zone and coordination-promoted zone, based on eco-economic coordination and evolution patterns. And these subregions can be recognized and categorized by spatial transformation model.