Articles | Volume 8, issue 1
https://doi.org/10.5194/soil-8-381-2022
© Author(s) 2022. 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-8-381-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evolutionary pathways in soil-landscape evolution models
W. Marijn van der Meij
CORRESPONDING AUTHOR
Institute of Geography, University of Cologne, Albertus-Magnus-Platz, 50923 Cologne, Germany
Related authors
W. Marijn van der Meij, Svenja Riedesel, and Tony Reimann
EGUsphere, https://doi.org/10.5194/egusphere-2024-1466, https://doi.org/10.5194/egusphere-2024-1466, 2024
Short summary
Short summary
Soil mixing (bioturbation) plays a key role in soil functions, but the underlying processes are poorly understood and difficult to quantify. In this study, we use luminescence, a light-sensitive soil mineral property, and numerical models to better understand different types of bioturbation. We provide a conceptual model that helps to determine what type of bioturbation processes occur in a soil and a numerical model that can derive quantitative process rates from luminescence measurements.
W. Marijn van der Meij
EGUsphere, https://doi.org/10.5194/egusphere-2024-1036, https://doi.org/10.5194/egusphere-2024-1036, 2024
Short summary
Short summary
A soil-landscape evolution model was used to calculate hillslope erosion rates from OSL-based deposition rates through inverse modelling, with consideration of uncertainties in model input. The results show that erosion rates differ systematically from the deposition rates, highlighting important shortcomings of assessing land degradation through measurable deposition rates.
W. Marijn van der Meij, Arnaud J. A. M. Temme, Steven A. Binnie, and Tony Reimann
Geochronology, 5, 241–261, https://doi.org/10.5194/gchron-5-241-2023, https://doi.org/10.5194/gchron-5-241-2023, 2023
Short summary
Short summary
We present our model ChronoLorica. We coupled the original Lorica model, which simulates soil and landscape evolution, with a geochronological module that traces cosmogenic nuclide inventories and particle ages through simulations. These properties are often measured in the field to determine rates of landscape change. The coupling enables calibration of the model and the study of how soil, landscapes and geochronometers change under complex boundary conditions such as intensive land management.
W. Marijn van der Meij, Arnaud J. A. M. Temme, Jakob Wallinga, and Michael Sommer
SOIL, 6, 337–358, https://doi.org/10.5194/soil-6-337-2020, https://doi.org/10.5194/soil-6-337-2020, 2020
Short summary
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.
W. Marijn van der Meij, Arnaud J. A. M. Temme, Christian M. F. J. J. de Kleijn, Tony Reimann, Gerard B. M. Heuvelink, Zbigniew Zwoliński, Grzegorz Rachlewicz, Krzysztof Rymer, and Michael Sommer
SOIL, 2, 221–240, https://doi.org/10.5194/soil-2-221-2016, https://doi.org/10.5194/soil-2-221-2016, 2016
Short summary
Short summary
This study combined fieldwork, geochronology and modelling to get a better understanding of Arctic soil development on a landscape scale. Main processes are aeolian deposition, physical and chemical weathering and silt translocation. Discrepancies between model results and field observations showed that soil and landscape development is not as straightforward as we hypothesized. Interactions between landscape processes and soil processes have resulted in a complex soil pattern in the landscape.
W. Marijn van der Meij, Svenja Riedesel, and Tony Reimann
EGUsphere, https://doi.org/10.5194/egusphere-2024-1466, https://doi.org/10.5194/egusphere-2024-1466, 2024
Short summary
Short summary
Soil mixing (bioturbation) plays a key role in soil functions, but the underlying processes are poorly understood and difficult to quantify. In this study, we use luminescence, a light-sensitive soil mineral property, and numerical models to better understand different types of bioturbation. We provide a conceptual model that helps to determine what type of bioturbation processes occur in a soil and a numerical model that can derive quantitative process rates from luminescence measurements.
W. Marijn van der Meij
EGUsphere, https://doi.org/10.5194/egusphere-2024-1036, https://doi.org/10.5194/egusphere-2024-1036, 2024
Short summary
Short summary
A soil-landscape evolution model was used to calculate hillslope erosion rates from OSL-based deposition rates through inverse modelling, with consideration of uncertainties in model input. The results show that erosion rates differ systematically from the deposition rates, highlighting important shortcomings of assessing land degradation through measurable deposition rates.
W. Marijn van der Meij, Arnaud J. A. M. Temme, Steven A. Binnie, and Tony Reimann
Geochronology, 5, 241–261, https://doi.org/10.5194/gchron-5-241-2023, https://doi.org/10.5194/gchron-5-241-2023, 2023
Short summary
Short summary
We present our model ChronoLorica. We coupled the original Lorica model, which simulates soil and landscape evolution, with a geochronological module that traces cosmogenic nuclide inventories and particle ages through simulations. These properties are often measured in the field to determine rates of landscape change. The coupling enables calibration of the model and the study of how soil, landscapes and geochronometers change under complex boundary conditions such as intensive land management.
W. Marijn van der Meij, Arnaud J. A. M. Temme, Jakob Wallinga, and Michael Sommer
SOIL, 6, 337–358, https://doi.org/10.5194/soil-6-337-2020, https://doi.org/10.5194/soil-6-337-2020, 2020
Short summary
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.
W. Marijn van der Meij, Arnaud J. A. M. Temme, Christian M. F. J. J. de Kleijn, Tony Reimann, Gerard B. M. Heuvelink, Zbigniew Zwoliński, Grzegorz Rachlewicz, Krzysztof Rymer, and Michael Sommer
SOIL, 2, 221–240, https://doi.org/10.5194/soil-2-221-2016, https://doi.org/10.5194/soil-2-221-2016, 2016
Short summary
Short summary
This study combined fieldwork, geochronology and modelling to get a better understanding of Arctic soil development on a landscape scale. Main processes are aeolian deposition, physical and chemical weathering and silt translocation. Discrepancies between model results and field observations showed that soil and landscape development is not as straightforward as we hypothesized. Interactions between landscape processes and soil processes have resulted in a complex soil pattern in the landscape.
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Kaihua Liao, Juan Feng, Xiaoming Lai, and Qing Zhu
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Leigh Ann Winowiecki, Aida Bargués-Tobella, Athanase Mukuralinda, Providence Mujawamariya, Elisée Bahati Ntawuhiganayo, Alex Billy Mugayi, Susan Chomba, and Tor-Gunnar Vågen
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Preprint retracted
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C. Thomas, A. Sexstone, and J. Skousen
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M. Holleran, M. Levi, and C. Rasmussen
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Short summary
The development of soils and landscapes can be complex due to changes in climate and land use. Computer models are required to simulate this complex development. This research presents a new method to analyze and visualize the results of these models. This is done with the use of evolutionary pathways (EPs), which describe how soil properties change in space and through time. I illustrate the EPs with examples from the field and give recommendations for further use of EPs in soil model studies.
The development of soils and landscapes can be complex due to changes in climate and land use....