Articles | Volume 6, issue 2
https://doi.org/10.5194/soil-6-337-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-6-337-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Original research article
| 
03 Aug 2020
Original research article |
| 03 Aug 2020
| 03 Aug 2020
Modeling soil and landscape evolution – the effect of rainfall and land-use change on soil and landscape patterns
W. Marijn van der Meij
CORRESPONDING AUTHOR
Soil Geography and Landscape Group, Wageningen University and
Research, P.O. Box 47, 6700 AA, Wageningen, the Netherlands
Research Area Landscape Functioning, Working Group Landscape Pedology,
Leibniz-Centre for Agricultural Landscape Research ZALF, Eberswalder
Straße 84, 15374 Müncheberg, Germany
Arnaud J. A. M. Temme
Department of Geography, Kansas State University, 920 N17th Street,
Manhattan, KS 66506, USA
Institute of Arctic and Alpine Research, University of Colorado,
Campus, P.O. Box 450, Boulder, CO 80309-0450, USA
Jakob Wallinga
Soil Geography and Landscape Group, Wageningen University and
Research, P.O. Box 47, 6700 AA, Wageningen, the Netherlands
Michael Sommer
Research Area Landscape Functioning, Working Group Landscape Pedology,
Leibniz-Centre for Agricultural Landscape Research ZALF, Eberswalder
Straße 84, 15374 Müncheberg, Germany
Institute of Environmental Science & Geography, University of
Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany
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In the study, we reprocessed mapping results using a catchment-based method to reveal how properties change vertically with depth and horizontally across the landscape. Vertically, variations arise from factors like parent material, topography and tree uprooting. Horizontally, soils reflect erosion by wind and water. We identified sensitive areas. By combining two approach, we can better visualize soil variability, supporting better land management decisions in environmentally sensitive zones.
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Short summary
We developed a model to simulate long-term development of soils and landscapes under varying rainfall and land-use conditions to quantify the temporal variation of soil patterns. In natural landscapes, rainfall amount was the dominant factor influencing soil variation, while for agricultural landscapes, landscape position became the dominant factor due to tillage erosion. Our model shows potential for simulating past and future developments of soils in various landscapes and climates.
We developed a model to simulate long-term development of soils and landscapes under varying...
