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基于QuickBird卫星影像的沈阳城市绿地景观格局梯度分析

谭丽1,2;何兴元1;陈玮1;李小玉1;徐文铎1;唐玲1,2   

  1. 1中国科学院沈阳应用生态研究所, 沈阳 110016;2中国科学院研究生院, 北京 100039
  • 收稿日期:2007-10-22 修回日期:1900-01-01 出版日期:2008-07-10 发布日期:2008-07-10

Gradient analysis of urban green space landscape pattern in Shenyang City based on QuickBird image.

TAN Li1,2;HE Xing-yuan1;CHEN Wei1;LI Xiao-yu1;XU Wen-duo1;TANG Ling1,2   

  1. 1Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 11
    0016, China;2Graduate University of Chinese Academy of Sciences, Beijing
    100039, China
  • Received:2007-10-22 Revised:1900-01-01 Online:2008-07-10 Published:2008-07-10

摘要: 基于2006年QuickBird卫星影像数据解译的沈阳城市绿地分布图,在GIS的支持下,通过幅度效应的研究,在确定出研究区的适宜幅度为5 km的基础上,应用梯度分析与景观指数相结合的方法,研究了沈阳城市绿地景观结构及其梯度上的空间特征。结果表明:类型水平上,不同的绿地类型沿景观格局梯度表现出明显的空间特征;在城市中心,公园绿地为优势类型,而在郊区,农业用地为优势类型;城市绿地整体上破碎化程度高,绿地斑块形状较为复杂;景观水平上,不同景观指数沿样带梯度表现出差异性,表明城市化导致景观的破碎化程度增大,景观异质性增高;斑块密度、景观形状指数和景观聚集度指数具有明显的梯度特征,而最大斑块指数、多样性指数则不明显;景观格局指数和梯度分析相结合是研究城市绿地空间的有力工具。

关键词: 植被, 产流产沙, 灰色关联分析, 黄土区

Abstract: Based on the urban green space distribution map interpreted by 2006 QuickBird image of Shenyang and under the support of GIS, 5 km was taken as the appropriate spatial extent for urban landscape pattern analysis based on the effects of spatial extent, and the gradient analysis in combination with landscape metrics was made to study the landscape structure and its spatial characters along the transect of urban green space in Shenyang City. The results showed that at class level, different types of urban green space across this transect had obvious gradient characters. The dominant landscape type in urban center was public park, while that in rural region was agricultural land. The urban green space had high fragmentation, and patch shape was complex. At landscape level, the landscape metrics along this transect had different variation patterns. It was suggested that urbanization induced landscape fragmentation and heterogeneity. The patch density, landscape shape index, and landscape aggregation index had significant gradient characteristics, while the largest patch index and Shannon’s diversity index were in adverse. It was also suggested that gradient analysis in combination with landscape metrics would be a robust tool to study the spatial pattern of urban green space.

Key words: Vegetation, Runoff and sediment production, Gray correlation analysis, Loess area