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Estimating spatial mean soil water contents of sloping jujube orchards using temporal stability
Authors:Xiaodong Gao  Pute Wu  Xining Zhao  Yinguang Shi  Jiawen Wang
Institution:1. Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling 712100, Shaanxi, China;2. Institute of Water Saving Agriculture in Arid Regions of China, Northwest Agriculture and Forestry University, Yangling 712100, Shaanxi, China;3. National Engineering Research Center for Water Saving Irrigation at Yangling, Yangling 712100, Shaanxi, China;1. Department of Plant Production and Soil Science, University of Pretoria, Private Bag X20, Hatfield, Pretoria 0028, South Africa;2. Agricultural Research Council Roodeplaat, Vegetable and Ornamental Plant Institute, Private Bag X293, Pretoria 0001, South Africa;3. School of Bioresources Engineering and Environmental Hydrology, University of KwaZulu-Natal, Private Bag X01, Scottsville, Pietermaritzburg 3209, South Africa;4. CSIRO Sustainable Agricultural National Research Flagship and CSIRO Land and Water, Australia;1. School of Natural Resources, University of Nebraska-Lincoln, Hardin Hall, 3310 Holdrege Street, Lincoln, NE 68583, USA;2. College of Water Sciences, Beijing Normal University, Beijing 100875, China;3. Department of Hydraulic and Water Resources Engineering, Budapest University of Technology and Economics, Budapest, Hungary;4. Department of Earth and Atmospheric Sciences, University of Nebraska-Lincoln, 214 Bessey Hall, Lincoln, NE 68588, USA;1. State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling 712100, China;2. Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, China;3. State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an, Shaanxi 710075, China;1. Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling 712100, Shaanxi, China;2. Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China;3. Shenyang Agricultural University, Shenyang 110866, Liaoning, China;4. University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:Estimating spatial mean soil water contents from point-scale measurements is important to improve soil water management in sloping land of semiarid areas. Temporal stability analysis, as a statistical technique to estimate soil water content, is an effective tool in terms of facilitating the upscaling estimation of mean values. The objective of this study was to examine temporal stability of soil water profiles (0–20, 20–40, 40–60 and 0–60 cm) in sloping jujube (Zizyphus jujuba) orchards and to estimate field mean root-zone soil water based on temporal stability analysis in the Yuanzegou catchment of the Chinese Loess Plateau, using soil water observations under both dry and wet soil conditions. The results showed that different time-stable locations were identified for different depths and the temporal stability of soil water content in 20–40 cm was significantly (P < 0.05) weaker than that in other depths. Moreover, these time-stable locations had relatively high clay contents, relatively mild slopes and relatively planar surfaces compared to the corresponding field means. Statistical analysis revealed that the temporal stability of root zone soil water (0–60 cm) was higher in either dry or wet season than that including both, and soil water exhibited very low temporal stability during the transition period from dry to wet. Based on the temporal stability analysis, field mean soil water contents were estimated reasonably (R2 from 0.9560 to 0.9873) from the point measurements of these time-stable locations. Since the terrains in this study are typical in the hilly regions of the Loess Plateau, the results presented here should improve soil water management in sloping orchards in the Loess Plateau.
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