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Spatial variability of soil hydraulic properties in a forested hillslope

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Spatial variability of soil hydraulic properties in a forested

hillslope

Hendrayanto, Ken’ichirou Kosugi, Taro Uchida, Sakiko Matsuda and Takahisa Mizuyama

Journal of Forest Research, 1999,Volume 4, Number 2,, Pages 107-114

Abstract

Spatial variability of soil hydraulic properties was measured in a forested hillslope and analyzed by applying combined water-retention-hydraulic-conductivity models (the LN and VG models) and a power function model for soil hydraulic conductivity (the Leibenzon model). Results showed that the pore-tortuosity parameterl in the LN and VG models should

be treated as a fitted parameter for accurate descriptions of the unsaturated conductivity. The simultaneous optimization of both retention and conductivity curves is preferable to obtain appropriate descriptions of hydraulic properties when both retention and conductivity data are available for the parameter estimation. The Leibenzon model produced slightly poorer estimates than the LN and VG models. The exponent parameter in the Leibenzon model exhibited a spatial variation with the standard deviation of 2.38. The spatial variability of hydraulic properties was analyzed based on the spatial variation in parameters of the LN model obtained by the simultaneous optimization procedure. The parameter ψm, which has a

positive correlation with median pore-radius, was generally small at the crest and upper slope locations and large at mid-slope to footslope locations. Except for the crest, surface soils had larger ψmvalues than the subsurface soils, suggesting a well-developed crumb structure in

surface horizons of forest soils. For most soils, σ was greater than I, indicating a relatively large width of pore-size distribution. Saturated hydraulic conductivity (K s) was generally

small at crest and upper slope locations, and large at mid-slope to footslope locations. The largerKs values were attributable to largerψm values.

Keywords forest soil hydraulic conductivity parameter estimation soil water retention spatial variability

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