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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Research@WURarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Research@WUR
Article . 2002
Data sources: Research@WUR
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Soil Science Society of America Journal
Article . 2002 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Modeling Water and Soil Redistribution in a Dynamic Landscape Context

Authors: Schoorl, J.M.; Veldkamp, A.; Bouma, J.;

Modeling Water and Soil Redistribution in a Dynamic Landscape Context

Abstract

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.

Country
Netherlands
Related Organizations
Keywords

models, land use planning, soil water, ADLIB-ART-2206, soil suitability, n/a OA procedure

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
94
Top 10%
Top 10%
Top 10%
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