PROGRESS IN GEOGRAPHY ›› 2009, Vol. 28 ›› Issue (3): 449-459.doi: 10.11820/dlkxjz.2009.03.019

• Original Articles • Previous Articles     Next Articles

Relationships between Arabidopsis thaliana Populations Distribution and Environmental Factors in the Tianshan-Altay Mountain Region, China

TAO Ye1,2,3, LIU Tong1   

  1. 1. College of Life Sciences, Shihezi University, Shihezi 832000, China|
    2. Xinjiang Institute of Ecology and Geography, CAS, Urumqi 830011, China|
    3. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Online:2009-05-25 Published:2009-05-25


Tianshan Mountains and the nearby mountains are one of the main distribution regions of Arabidopsis thaliana and its closely related species in the world. Based on comprehensive field surveys on the distribution of A. thaliana in the Tianshan-Altay mountain region, 13 plots in low mountain zone Shihezi, the 143rd Corps, Shawan, Dushanzi, Yili Guozigou, Emin and Altay were selected and 18 environmental factors were measured, the relationship between A. thaliana populations distribution and environmental factors were studied. Classification of the vegetation was analyzed using two-way indicator species analysis (TWINSPAN) technique. Ordination techniques as detrended correspondence analysis (DCA), principal component analysis (PCA) and canonical correspondence analysis (CCA) were used to examine the relationships between vegetation and environmental parameters. Lastly, the correlation coefficients between cruciferous species, A. thaliana and environmental variables were also examined. The results showed that 13 plots were classified into 4 community types by TWINSPAN using important values (IV) data of 53 main species: Seriphidium kaschgaricum, Seriphidium kaschgaricum-Salsola collina, S.kaschgaricum-Cara acanthophylla-Carex liparocarpos, and Myosotis sylvatica-Bromus sewerzowii-C. liparocarpos. And environmental heterogeneity obviously appeared between each community type. Distributions of community types in DCA, PCA and CCA ordination figures showed obvious distinction, and they corresponded to species distribution well. The result was basically the same as TWINSPAN classification. PCA analysis on environmental factors showed that slope, organic matter, electric conductivity, pH, soil moisture and available potassium (both 2 soil layers) were the main factors affecting environmental heterogeneity in different plots, and these factors were most significantly associated with each other. CCA analysis showed that slope, organic matter, pH, electrolytic conductivity and soil moisture (both 2 soil layers) were associated with ordination axes, this result indicated that those environmental variables were the dominant factors to determine the patterns of species distribution and plant diversity, and it is the same as PCA basically. The study also found that aspect, soil water content (2nd layer), organic matter (1st layer) and pH (2 layers) were the major factors impacting the change in the number of Cruciferae species, and electrolytic conductivity (1st layer) played an very important role in the number distribution of A. thaliana.

Key words: classification and ordination, correlation analysis, environmental heterogeneity, soil factor, terrain factor, vegetation-environment relationship, Xinjiang