吴秋彤,齐增湘,李涛,王宽,巩雅博.长株潭城市群生态系统服务供需时空分异分析[J].南华大学学报(自然科学版),2022,(2):77~87.[WU Qiutong,QI Zengxiang,LI Tao,WANG Kuan,GONG Yabo.Spatial-temporal Differentiation of Ecosystem Service Supply and Demand in Changsha-Zhuzhou-Xiangtan Urban Agglomeration[J].Journal of University of South China(Science and Technology),2022,(2):77~87.]
长株潭城市群生态系统服务供需时空分异分析
Spatial-temporal Differentiation of Ecosystem Service Supply and Demand in Changsha-Zhuzhou-Xiangtan Urban Agglomeration
投稿时间:2021-09-26  
DOI:
中文关键词:  生态系统服务  平衡关系  时空特征  空间自相关  长株潭城市群〖PS22-02吴秋彤OSID码.tif  Y4*4,Y#〗
英文关键词:ecosystem services  balance relations  spatial-temporal characteristics  spatial auto-correlation  CZT Urban Agglomeration
基金项目:湖南省科技厅科技计划重点项目(2015SK2003);湖南省哲学社会科学基金项目(18YBQ106);衡阳市科技厅重点实验室项目(2018KJ113);湖南省教育厅重点科研项目(18A245);2021年湖南省研究生科研创新项目(CX20210969)
作者单位E-mail
吴秋彤 南华大学 松霖建筑与设计艺术学院,湖南 衡阳 421001 349563237@qq.com 
齐增湘 南华大学 松霖建筑与设计艺术学院,湖南 衡阳 421001
湖南省健康城市营造工程技术研究中心,湖南 衡阳 421001
生态型区域-城市规划与管理衡阳市重点实验室,湖南 衡阳 421001 
 
李涛 南华大学 松霖建筑与设计艺术学院,湖南 衡阳 421001
生态型区域-城市规划与管理衡阳市重点实验室,湖南 衡阳 421001 
 
王宽 南华大学 松霖建筑与设计艺术学院,湖南 衡阳 421001  
巩雅博 南华大学 松霖建筑与设计艺术学院,湖南 衡阳 421001  
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中文摘要:
      以长株潭城市群为研究区,基于2000—2018年的土地利用数据,选取生境质量、食物供给、碳储量三项生态系统服务,综合运用InVEST模型、空间自相关方法来量化分析县域尺度上城市群生态系统服务供需的时空演变特征及平衡关系。结果表明:1)2000—2018年城市群生态系统服务供给整体下降3.6%,其中12个县市区的供给呈现小幅增长,11个县市区供给出现减少,总供给量呈持续下降趋势。空间分布呈现“中间低、四周高”的特点,低供给区、较低供给区分布在长沙、株洲市区,较高供给区与高供给区在空间上的变化较大。2)2000—2018年城市群生态系统服务总需求增长201.2%,总体呈现增长态势,其中宁乡县、浏阳市和炎陵县的需求具有“先减小后增长”的特点。在空间上具有明显的空间差异,表现为三市市区的需求较为集中,而外围县市区的生态系统服务需求较小。3)2000—2018年城市群大多数县市区生态系统服务供需关系趋向恶化,尤其是高盈余地区数量明显减少。2000年,高盈余区有宁乡县、韶山市、湘潭县和炎陵县,至2018年,仅炎陵县是高盈余状态。
英文摘要:
      Taking Changsha-Zhuzhou-Xiangtan (CZT) Urban Agglomeration as the research area, based on the land use data from 2000 to 2018, this paper selects three ecosystem services:habitat quality, food supply and carbon storage, and comprehensively uses the invest model and spatial autocorrelation method to quantitatively analyze the spatial-temporal evolution characteristics and balance relationship of ecosystem service supply and demand of urban agglomeration at county scale. The results show that:(1) From 2000 to 2018, the overall supply of ecosystem services in urban agglomerations decreased by 3.6%, of which the supply of 12 counties and urban areas increased slightly, the supply of 11 counties and urban areas decreased, and the total supply showed a continuous downward trend.The spatial distribution shows the characteristics of “low in the middle and high around”. Low supply areas and comparatively lower supply areas are distributed in Changsha and Zhuzhou, and comparatively higher supply areas and high supply areas change greatly in space. (2) From 2000 to 2018, the total demand for ecosystem services of urban agglomeration increased by 201.2%, showing an overall growth trend, among which the demand of Ningxiang County, Liuyang City and Yanling County was characterized by “first reduction and then growth”. There are obvious spatial differences in space, which shows that the demand of the three cities is relatively concentrated, while the demand for ecosystem services in the peripheral counties and urban areas is small. (3) From 2000 to 2018, the relationship between supply and demand of ecosystem services in most counties and urban areas of the urban agglomeration tended to deteriorate, especially the number of high surplus areas decreased significantly. In 2000, there were Ningxiang County, Shaoshan City, Xiangtan County and Yanling County with high surplus. By 2018, only Yanling County had high surplus.
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