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Cityscape pattern of Shenyang based on QuickBird image and GIS.

HU Jian-bo1,2; LI Xiao-yu1;CHEN Wei1;HE Xing-yuan1   

  1. 1Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 11
    0016;2Graduate University of Chinese Academy of Sciences, Beijing 100039
  • Received:2007-06-14 Revised:1900-01-01 Online:2008-05-10 Published:2008-05-10

Abstract: By using QuickBird image and GIS, this paper studied the landscape pattern and patch properties within the ThirdRing Road of Shenyang City. In the study area, rural landscape and urban landscape coexisted, with most patches in urban landscape. The under-construction patches, either in area or in patch number, occupied a considerable proportion, illustrating that Shenyang is in the phase of rapid urbanization. The study area could be separated into five concentric circles with 2 km radius interval, taking city center as the circle center. Each class land-use type was approximately concentrated in one of the circles, and the sequence starting from the inner was road<old residence<park and square=public facility=railway<industry=under-construction=water<all rural lands=road protection forest. The residence distance from the center was in the order of tower≤old multi-storey≤mixture≤new multi-storey≤villa. Road area was larger than road protection forest area, while the later had larger quantity of vegetation. Road protection forest promoted the greening rate of transportation landscape effectively. Rural area was smaller than urban area, and most of shadow was in urban landscape; while rural landscape had larger quantity of vegetation, which could affect the greening rate of study area significantly. The greening rate of four major classes of landuse〖KG*2/3〗type was residence (23.3%)<industry (28.92%)<public facility (32.32%)<park and square (73.83%), while the shadow rate was residence (26.22%)>park and square (16.33%)>public facility (13.41%)>industry (8.73%). Among the residential classes, old multi-storey residence had a greening rate of 19.76%, which was larger than the regular towers (10.31%), but smaller than the rest seven classes. Garden class had larger greening rate than regular class when they were of the same height type, but not for shadow rate. As for the four garden classes, the sequence of greening rate was tower<mixture<new multistorey<villa, while the sequence of shadow rate was in adverse. For the four regular classes, the sequence of greening rate was tower<new multistorey<mixture<villa, while the sequence of shadow rate was inverse.

Key words: Degraded ecosystem, Degradation degree, Succession theory, Vegetation restoration, Chinese pine, Western Liaoning Province