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
Link To Document :
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