Quantifying spatiotemporal pattern of urban greenspace: new insights from high resolution data

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• 作者：Yuguo Qian ; Weiqi Zhou ; Wenjuan Yu ; Steward T. A. Pickett
• 关键词：Within ; city dynamics ; Beijing ; Urban sustainability ; Ecosystem services ; Scale ; Urban landscape
• 刊名：Landscape Ecology
• 出版年：2015
• 出版时间：August 2015
• 年：2015
• 卷：30
• 期：7
• 页码：1165-1173
• 全文大小：976 KB
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• 作者单位：Yuguo Qian (1)
  Weiqi Zhou (1)
  Wenjuan Yu (1)
  Steward T. A. Pickett (2)
  
  1. State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Shuangqinglu 18, Beijing, 100085, China
  2. Cary Institute of Ecosystem Studies, Box AB, Millbrook, NY, 12545, USA
  
• 刊物类别：Biomedical and Life Sciences
• 刊物主题：Life Sciences
  Landscape Ecology
  Plant Ecology
  Forestry Management
  Forestry
  Ecology
  Plant Sciences
  
• 出版者：Springer Netherlands
• ISSN：1572-9761

文摘

Context Urban greenspace provides myriad ecosystem services. To fully understand the ecological services provided by urban greenspace, it is crucial to first accurately quantify the composition and configuration, and change of urban greenspace. Objectives (1) Quantify the dynamics of greenspace in highly urbanized areas. (2) Compare and evaluate the efficacy of medium and high resolution image data on quantifying urban greenspace dynamics. Methods Using two very well-developed urban districts of Beijing, we compare and contrast the changes in urban greenspace from 2005 to 2009 based on two different datasets, the most commonly used Landsat TM data with 30?m resolution, and 2.5?m high spatial resolution imagery. Results We found urban greenspace in the two well-developed urban districts of Beijing to be very dynamic, in contrast to findings from previous research that greenspace in inner cities tends to remain largely unchanged. Such dynamics, however, could only be revealed by high spatial resolution imagery because medium resolution data, such as TM data greatly underestimated the percent cover of greenspace. The underestimate neglects smaller elements of greenspace as well as changes in configuration of larger patches, limiting the ability of TM data to detect such changes. Conclusions Our results underscore the importance and necessity of using high spatial resolution data to adequately quantify the distribution of urban greenspace and its change. Results from this study have important implications for urban greenspace management and planning. In addition, the dynamics revealed support emerging conceptions of urban areas as hierarchical patch mosaics.