中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatio-temporal variability of surface soil water content and its influencing factors in a desert area, China

文献类型:SCI/SSCI论文

作者Zhang P. P.; Shao, M. A.
发表日期2015
关键词surface soil water arid area geostatistics spatial variability statistical analysis influencing factors northern loess plateau spatial variability temporal stability moisture patterns semiarid steppe catchment hillslope organization indexes
英文摘要Knowledge of the variability of soil water content (SWC) in space and time plays a key role in hydrological and climatic modelling. However, limited attention has been given to arid regions. The focus of this study was to investigate the spatio-temporal variability of surface soil (0-6 cm) water content and to identify its controlling factors in a region of the Gobi Desert (40 km(2)). The standard deviation of SWC decreased logarithmically as mean water content decreased, and the coefficient of variation of SWC exhibited a convex upward pattern. The spatial variability of SWC also increased with the size of the investigated area. The spatial dependence of SWC changed over time, with stronger patterns of spatial organization in drier and wetter conditions of soil wetness and stochastic patterns in moderate soil water conditions. The dominant factors regulating the variability of SWC changed from combinations of soil and topographical properties (bulk density, clay content and relative elevation) in wet conditions to combinations of soil and vegetation properties (bulk density, clay content and shrub coverage) in dry conditions. This study has important implications for the assessment of soil quality and the sustainability of land management in arid regions.
出处Hydrological Sciences Journal-Journal Des Sciences Hydrologiques
60
1
96-110
语种英语
ISSN号0262-6667
DOI标识10.1080/02626667.2013.875178
源URL[http://ir.igsnrr.ac.cn/handle/311030/43504]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Zhang P. P.,Shao, M. A.. Spatio-temporal variability of surface soil water content and its influencing factors in a desert area, China. 2015.

入库方式: OAI收割

来源:地理科学与资源研究所

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