Statistical analysis of the temporal stability of soil moisture in three desert regions of northwestern China

被引:0
|
作者
Bing Liu
Wenzhi Zhao
Fanjiang Zeng
机构
[1] Chinese Academy of Sciences,Heihe Key Laboratory of Ecohydrology and Integrated Biver Basin Science, Linze Inland River Basin Research Station, Cold and Arid Regions Environmental and Engineering Research Institute
[2] Chinese Academy of Sciences,Cele Desert
来源
关键词
Desert ecosystems; Soil moisture; Temporal variability; Spatial patterns;
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中图分类号
学科分类号
摘要
Soil moisture and its variations are key factors for understanding hydrological processes, which are characterized by a high temporal variability at different scales. The study was conducted at three field stations in the desert regions of northwestern China, where soil moisture measurements with gravimetric method were used to characterize the temporal stability of soil moisture using various statistical parameters and an index of temporal stability (ITS). The soils are a gray–brown desert soil at the Linze station, an aeolian sandy soil at the Fukang station, and a brown desert soil at the Cele station. Soil textures are accordingly sandy loam at Linze and Cele, and loamy sand at Fukang. The dynamic variation in soil moisture depends strongly on the rainfall pattern (amount and frequency) in these desert ecosystems. Soil moisture content is low and significantly different among the three desert ecosystems, with the maximum at the Linze station (6.61 ± 2.08 %), followed by the Cele (4.83 ± 0.81 %) and Fukang (3.46 ± 0.47 %) stations. The temporal pattern exhibits high variability because soil moisture is characterized by low temporal stability and a high coefficient of variation (CV). The standard deviation, CV, and ITS increase significantly with increasing soil moisture. Soil moisture displays a skewed frequency distribution that follows a logarithmic function at lower soil moisture but a log-normal distribution at higher values.
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页码:2249 / 2262
页数:13
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