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Spatial variability of soil surface properties and consequences for the annual and monthly water balance of a semiarid environment (EFEDA experiment)

AutorBraud, Isabelle; Haverkamp, Randel; Arrúe Ugarte, José Luis ; López Sánchez, María Victoria
Fecha de publicaciónfeb-2003
EditorAmerican Meteorological Society
CitaciónJournal of Hydrometeorology, Volume 4, Issue 1 (February 2003): pp. 121–137
ResumenDuring the second phase of the EFEDA experiment (ECHIVAL Field Experiment in a Desertification Threatened Area), the spatial variability of the soil water retention and hydraulic conductivity characteristics of layers 2-12 and 17-27 cm depth was characterized. A simplified method, based on particle size distribution and simple infiltration tests was used. It provided these characteristics at the nodes of a 1 km grid over 10x10 km2 around the town of Tomelloso (Castilla- La Mancha, Spain). A total number of 78 sample points were used to address the problem of soil surface properties variability and its consequences on the monthly and annual water balance. The SiSPAT (Simple Soil Plant Atmosphere Transfer model) 1-D Soil-Vegetation-Atmosphere Transfer (SVAT) model was run with a one-year climatic forcing for the 78 soil profiles until equilibrium was reached. As no runoff was generated, the spatial variability of the water budget components only concerned soil evaporation, transpiration and deep drainage. It was found that i) the choice of the type of boundary condition at the bottom of the soil profile was greatly influencing the final variability, ii) the variability of transpiration was the largest in situations of water stress for the vegetation, iii) soil evaporation was the most sensitive component when plants were well supplied with water. Various aggregation methods of soil surface parameters (use of the arithmetic mean, median of the parameters or parameters associated to the average soil texture of the Clapp and Hornberger (1978) classification) were assessed. The use of median parameters in a single 1-D simulation was found to provide the best agreement with the average of the 78 simulations performed for each grid cell using locally measured soil properties. The use of average soil texture parameters led to a significant bias, especially in the case of water stress.
DescripciónThe definitive version is available at: http://www.ametsoc.org/
Versión del editorhttp://dx.doi.org/10.1175/1525-7541(2003)004<0121:SVOSSP>2.0.CO;2
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