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中国科学院大学学报 ›› 2014, Vol. 31 ›› Issue (4): 506-516.DOI: 10.7523/j.issn.2095-6134.2014.04.010

• 环境科学与地理学 • 上一篇    下一篇

天山北坡城市群城市多维生态位研究

段祖亮1, 张小雷1, 雷军1, 王建锋1,2   

  1. 1. 中国科学院新疆生态与地理研究所, 乌鲁木齐 830011;
    2. 中国科学院大学, 北京 100049
  • 收稿日期:2013-04-16 修回日期:2013-10-15 发布日期:2014-07-15
  • 通讯作者: 段祖亮,E-mail:dzl@ms.xjb.ac.cn
  • 基金资助:

    国家自然科学基金(41101159、41101157)和中国科学院西部项目(XBBS201009)资助

Study on urban multidimensional niche of urban agglomeration on northern slope of Tianshan Mountains

DUAN Zuliang1, ZHANG Xiaolei1, LEI Jun1, WANG Jianfeng1,2   

  1. 1. Xinjiang Institute of Ecology and Geography, Chinese Acaolemy of Sciences, Urumqi 830011, China;
    2. University of Chinese Academy of Science, Beijing 100049, China
  • Received:2013-04-16 Revised:2013-10-15 Published:2014-07-15

摘要:

以新疆天山北坡城市群中10个城市为研究对象,选取16个指标,采用主成分分析方法、城市生态位宽度模型和分异指数模型,测度分析该城市群的生态位宽度和生态位分异特征.研究表明,天山北坡城市群中首位城市生态位宽度较大,多数城市综合生态位宽度偏小,两极分化明显. 综合生态位分异指数呈现先降后升的态势,区域发展要素向区域中心城市集聚,且集聚效应不断增强. 因子生态位宽度测度中,经济和公共服务因子生态位宽度差异最大,城市基础设施因子生态位宽度差异较小. 经济和公共服务因子、公平发展与人口增长因子生态位分异指数呈上升趋势,城市基础设施因子反之.提出了天山北坡城市群协同发展的建议.

关键词: 城市多维生态位, 生态位宽度, 主成分分析, 天山北坡城市群

Abstract:

Preliminary quantitative analysis of 16 indicators for 10 cities on northern slope of Tianshan Mountains(NSTM)is presented. By using the principal component analysis method, urban niche breadth model, and differentiation index model, niche breadth and differentiation characteristics of the urban agglomeration are measured and calculated. It is clear that the urban niche breadth of the primary city of urban agglomeration in NSTM is high while the indexes of other major cities are low, and the polarization is obvious. The comprehensive differentiation index of urban niche breadth shows first a decreasing tendency and then an increasing tendency,and the accumulative effect is enhanced. The niche breadth differences in economy and public service between the cities are apparent, while the niche breadth difference in infrastructure status is not so significant.

Key words: urban multidimensional niche, niche breadth, principal component analysis, urban agglomeration on NSTM

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