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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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