SSSAJ Journal of Natural Resources and Life Sciences Education
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Soil Science Society of America Journal 66:1610-1619 (2002)
© 2002 Soil Science Society of America

DIVISION S-6—SOIL & WATER MANAGEMENT & CONSERVATION

Modeling Water and Soil Redistribution in a Dynamic Landscape Context

J. M. Schoorl*, A. Veldkamp and J. Bouma

Laboratory of Soil Science and Geology, Department of Environmental Sciences, Wageningen University, P.O. Box 37, 6700 AA Wageningen, The Netherlands

* Corresponding author (Jeroen.Schoorl{at}aio.beng.wau.nl)

Soil suitability assessments for land use planning are commonly based on on-site specific topographic, soil, and climatic characteristics, and are often neglecting the effects of physical landscape processes by water. The spatial and temporal variability of the landscape requires specific input data and modeling procedures. Existing studies aiming at the landscape level often are data-driven and operating at detailed resolutions of seconds and hours for single slopes or catchments. This study aims at the coarser level of multiple catchments over a period of 10 yr. A dynamic modeling approach is applied to a study area for the effects of soil redistribution within a landscape (run-on, run-off, erosion, and sedimentation) on subsequent soil water availability. Simulation scenarios include factors of water routing, soil depth, and erodibility. Different approaches for surface run-off routing have a major influence on the magnitude and spatial patterns of soil redistribution. Also initial conditions such as soil depth, parent material, and erodibility have spatial impacts upon soil erosion and sedimentation within the landscape. Locally decreasing water storage capacity (on-site) may cause increased run-off and erosion at lower positions in the landscape (off-site). Localized soil redistribution can cause significant changes in actual soil depth and indirectly affect available soil water. The changing patterns of soil redistribution for the different scenarios are both related to modeling techniques as well as to the implemented boundary conditions. This study indicates that at the landscape scale spatial variability in for example soil properties is inherent to both the complexity of the landscape (parent material) and on-site and off-site effects of controlling processes.

Abbreviations: AW, available water • DEM, digital elevation model • GIS, geographical information system • GN, gneiss • Kes, erodibility of the soil surface • LAPSUS, landscape process modeling at multi-dimensions and scales • LM, limestone • MA, marls • MF, multiple flow direction routing • MO, molasse • PL, phylite • RI, river terraces • SD, steepest descent flow routing • SP, serpentinite







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