Regional spatial pattern of deep soil water content and its influencing factors |
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| Authors: | Yunqiang Wang Zhipeng Liu David N Warrington |
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| Institution: | 1. Key Laboratory of Ecosystem Network Observation and Modeling , Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences , Beijing , 100101 , China;2. State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau , Institute of Soil and Water Conservation, Chinese Academy of Sciences &3. Ministry of Water Resources , Yangling , 712100 , China;4. Graduate University of Chinese Academy of Sciences , Beijing , 100049 , China;5. State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau , Institute of Soil and Water Conservation, Chinese Academy of Sciences &6. Ministry of Water Resources , Yangling , 712100 , China |
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| Abstract: | Abstract Plant root systems can utilize soil water to depths of 10 m or more. Spatial pattern data of deep soil water content (SWC) at the regional scale are scarce due to the labour and time constraints of field measurements. We measured gravimetric deep SWC (DSWC) at depths of 200, 300, 400, 500, 600, 800 and 1000 cm at 382 sites across the Loess Plateau, China. The coefficient of variation was high for soil water content (SWC) in the horizontal direction (48%), but was relatively small for SWC in the vertical direction (9%). Semivariogram ranges for DSWC at different depths were between 198 and 609 km. Kriged distribution maps indicated that deep soil layers became moister along northwest to southeast transects. Multiple statistical analyses related DSWC to plant characteristics (e.g. plant age explained >21% of the variability), geographical location and altitude (8–13%), soil texture and infiltrability, evaporation zone and eco-hydrological processes (P < 0.05). Regional land management decisions can be based on our DSWC distribution data to determine land uses and plant species appropriate for the soil type and location that would maintain a stable soil water balance. Maintaining infiltrability is of great importance in this and other water-scarce regions of the world. Editor D. Koutsoyiannis; Associate editor J. Simunek Citation Wang, Y.Q., Shao, M.A., Liu, Z.P. and Warrington, D.N., 2012. Regional spatial pattern of deep soil water content and its influencing factors. Hydrological Sciences Journal, 57 (2), 265–281. |
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| Keywords: | spatial variability land-use management geostatistics multiple linear regression residual maximum likelihood analysis Loess Plateau of China |
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