2008•Shengtaixue zazhiRequires access

Urban green space landscape pattern of Shenyang City based on QuickBird image

Ling Tang

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Abstract

Based on the QuickBird image in August 2006, and by using GIS technique and spatial pattern analysis software FRAGSTATS, this paper analyzed the urban green space landscape pattern of Shenyang City at patch composition, class level, and landscape level. The results showed that within the 3rd ring road of the City, there were 18 261 patches of green space, covering an area of 173.71 km2. 62.25% of the patches were medium-sized, and 85.59% of the total area was made up of large patches. The distribution of urban green space was not uniform, and the structure was not reasonable. Farmland had the largest patch area and the highest assembly degree, while residential green space and attached green space were highly fragmented and distributed separately. The landscape Shannon’s diversity index was at intermediate level (1.6), patch types were rich and landscape Shannon’s evenness index was high (0.73), and contagion index was 0.83. There existed a phenomenon that fewer green space landscapes controlled the whole green space pattern. It was suggested that in Shenyang City, the structure and distribution of urban green space should be adjusted, and the proportion of medium-sized patches such as residential green space should be increased.

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What this paper is about

Based on the QuickBird image in August 2006, and by using GIS technique and spatial pattern analysis software FRAGSTATS, this paper analyzed the urban green space landscape pattern of Shenyang City at patch composition, class level, and landscape level. The results showed that within the 3rd ring road of the City, there were 18 261 patches of green space, covering an area of 173.71 km2. 62.25% of the patches were medium-sized, and 85.59% of the total area was made up of large patches. The distribution of urban green space was not uniform, and the structure was not reasonable. Farmland had the largest patch area and the highest assembly degree, while residential green space and attached green space were highly fragmented and distributed separately. The landscape Shannon’s diversity index was at intermediate level (1.6), patch types were rich and landscape Shannon’s evenness index was high (0.73), and contagion index was 0.83. There existed a phenomenon that fewer green space landscapes controlled the whole green space pattern. It was suggested that in Shenyang City, the structure and distribution of urban green space should be adjusted, and the proportion of medium-sized patches such as residential green space should be increased.

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Available abstract

Based on the QuickBird image in August 2006, and by using GIS technique and spatial pattern analysis software FRAGSTATS, this paper analyzed the urban green space landscape pattern of Shenyang City at patch composition, class level, and landscape level. The results showed that within the 3rd ring road of the City, there were 18 261 patches of green space, covering an area of 173.71 km2. 62.25% of the patches were medium-sized, and 85.59% of the total area was made up of large patches. The distribution of urban green space was not uniform, and the structure was not reasonable. Farmland had the largest patch area and the highest assembly degree, while residential green space and attached green space were highly fragmented and distributed separately. The landscape Shannon’s diversity index was at intermediate level (1.6), patch types were rich and landscape Shannon’s evenness index was high (0.73), and contagion index was 0.83. There existed a phenomenon that fewer green space landscapes controlled the whole green space pattern. It was suggested that in Shenyang City, the structure and distribution of urban green space should be adjusted, and the proportion of medium-sized patches such as residential green space should be increased.

Key concepts: Urban green space, Geography, Diversity index, Species evenness, Urban landscape, Space (punctuation), Distribution (mathematics), Cartography

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