• DocumentCode
    2904426
  • Title

    Spatial Variation of Plant Diversity and Vegetation-Environment Relationships in the South Part of Gurbantunggut Desert, Xinjiang, China

  • Author

    Zhao, Huai-Bao ; Liu, Tong ; Tao, Ye ; Sun, Long-De

  • Author_Institution
    Xinjiang Inst. of Ecology & Geogr., Chinese Acad. of Sci., Urumqi, China
  • Volume
    3
  • fYear
    2009
  • fDate
    4-5 July 2009
  • Firstpage
    708
  • Lastpage
    715
  • Abstract
    This study provides an analysis of environmental factors, vegetation types as well as species distribution in 46 sites in the southern part of Gurbantunggut desert, and focuses on the vegetation-environment relationships. A total of 104 species belonging to 80 genera, 27 families of the vascular plants are recorded. The largest families were Compositae, Chenopodiaceae, Cruciferae and Leguminosae. Hemicryptophytes and therophytes were the most abundant life-form. The woody perennials constitute only 19.2% of the recorded species, while grasses are highly dominated (80.8%).The distribution relative frequency of majority species were lower; Species distribution reveal obvious heterogeneity of aspect of the longitude , latitude and slope position. Classification of the vegetation is analyzed using two-way indicator species analysis (TWINSPAN) techniques resulted in the recognition of eight vegetation groups. Ordination techniques as detrended correspondence analysis (DCA) and detrended canonical correspondence analysis (DCCA) are used to examine the relationship between the vegetation and environmental parameters. The first two axes explaining 36.98% of the cumulative variance. As a whole, the macro-environment factors including PRE, ELEV, LAT and LONG are primary environmental factors affecting spatial variation of plant diversity, in which PRE is the most important factor, soil factors are relatively weak. These findings provide a fundamental step in selecting different vegetation types and focusing on the main limiting factors in management and ecological restoration in the desert.
  • Keywords
    ecology; environmental management; vegetation; Chenopodiaceae; China; Compositae; Cruciferae; Gurbantunggut desert; Leguminosae; TWINSPAN technique; Xinjiang; detrended canonical correspondence analysis; detrended correspondence analysis; distribution relative frequency; ecological restoration; environmental factors; environmental management; grasses; hemicryptophytes; macro-environment factors; plant diversity; soil factors; species distribution; therophytes; two-way indicator species analysis; vegetation classification; vegetation-environment relationships; woody perennials; Asia; Educational institutions; Environmental factors; Frequency; Geography; Information analysis; Rain; Soil; Sun; Vegetation; Detrended Canonical Correspondence Analysis (DCCA); Detrended Correspondence Analysis (DCA); Gurbantunggut Desert; Species diversity; Two Way Indicator Species Analysis (TWINSPAN); vegetation distribution; vegetation-environment relationship;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3682-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2009.520
  • Filename
    5199791