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长江三角洲地区生态经济系统协调度及其预警(英文)
引用本文:王振波,方创琳,程绍文,王婧.长江三角洲地区生态经济系统协调度及其预警(英文)[J].地理学报(英文版),2013,23(1):147-162.
作者姓名:王振波  方创琳  程绍文  王婧
作者单位:Institute of Geographic Sciences and Natural Resources Research, CAS;College of Urban and Environmental Sciences, Central China Normal University
基金项目:National Youth Science Foundation, No.40971101;The Major Project of Science and Technology Research for the 11th Five-Year Plan of China, No.2006BAJ05A06
摘    要: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.

关 键 词:长江三角洲经济区  生态经济系统  协调度  生态系统服务价值  早期预警  长江三角洲地区  数据转换模型  国内生产总值
收稿时间:2011-12-08

Evolution of coordination degree of eco-economic system and early-warning in the Yangtze River Delta
WANG Zhenbo , FANG Chuanglin , CHENG Shaowen , WANG Jing.Evolution of coordination degree of eco-economic system and early-warning in the Yangtze River Delta[J].Journal of Geographical Sciences,2013,23(1):147-162.
Authors:WANG Zhenbo  FANG Chuanglin  CHENG Shaowen  WANG Jing
Institution:1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China; 2. College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
Abstract: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 evolution 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 primarily 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 deterioration 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.
Keywords:Yangtze River Delta  rapid urbanization region  LUCC  eco-service value  eco-economic coordination  early-warning
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