Spatial and temporal variations of soil moisture and its relationship with environmental factors in the east section of the Qilian Mountains
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DOI:10.7606/j.issn.1000-7601.2010.06.05
Key Words: Canonical Correspondence Analysis(CCA)  soil moisture  environmental factors  Hanquangou water-shed
Author NameAffiliation
TIAN Fengxia MOE Key Laboratory of Western China’s Environmental Systems, Lanzhou UniversityLanzhou 730000China
Research School of Arid Environment and Climale ChangeLanzhou University, Lanzhou 730000China 
ZHAO Chuanyan MOE Key Laboratory of Arid and Grassland Ecology, Lanzhou University, Lanzhou 730000, China 
WANG Yao MOE Key Laboratory of Arid and Grassland Ecology, Lanzhou University, Lanzhou 730000, China 
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Abstract:
      With the method of Canonical Correspondence Analysis (CCA),this study discussed the spatial and tem- poral distribution characteristics of soil moisture in the Hanquangou watershed of the Qilian Mountains and analyzed its relationship with the environmental factors(e.g., altitude, slope, aspect, slope position, landform types, land-use types and soil porosity). The results indicated that: (1) The soil moisture of shrub-grassland and shrub-woodland was the highest during the study period, and then followed by shrub, woodland, grassland retrieved from cropland, cropland, woodland retrieved from cropland, and natural grassland; (2) Altitude, slope, soil porosity and land-use types are the main factors that affected seasonal dynamics of soil moisture, and the main impacting factors in each month were also different. For example, the factors were mainly associated with the aspect in Juy, with land-use types in August and September and with altitude in October; (3) The total cofficient of variation (CV) of soil water in 0~ 10 cm of 23 plots was the maximum, while the CV of 10 ~ 20 em was the minimum; (4) The effects of soil porosity on the vertical distri- bution of soil moisture were the most significant, and then followed by slope position, aspect and altitude . This study provides a theoretical basis for the future establishment of mesoscale simulation of the spatial distribution of soil moisture in the Qilian Mountains.