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.
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
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
SOIL, 8, 381–389, https://doi.org/10.5194/soil-8-381-2022, https://doi.org/10.5194/soil-8-381-2022, 2022
Short summary
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.
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.
Jungyu Choi, Roy van Beek, Elizabeth L. Chamberlain, Tony Reimann, Harm Smeenge, Annika van Oorschot, and Jakob Wallinga
SOIL, 10, 567–586, https://doi.org/10.5194/soil-10-567-2024, https://doi.org/10.5194/soil-10-567-2024, 2024
Short summary
Short summary
This research applies luminescence dating methods to a plaggic anthrosol in the eastern Netherlands to understand the formation history of the soil. To achieve this, we combined both quartz and feldspar luminescence dating methods. We developed a new method for feldspar to largely avoid the problem occurring from poorly bleached grains by examining two different signals from a single grain. Through our research, we were able to reconstruct the timing and processes of plaggic anthrosol formation.
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.
Adrian Dahlmann, Mathias Hoffmann, Gernot Verch, Marten Schmidt, Michael Sommer, Jürgen Augustin, and Maren Dubbert
Hydrol. Earth Syst. Sci., 27, 3851–3873, https://doi.org/10.5194/hess-27-3851-2023, https://doi.org/10.5194/hess-27-3851-2023, 2023
Short summary
Short summary
Evapotranspiration (ET) plays a pivotal role in terrestrial water cycling, returning up to 90 % of precipitation to the atmosphere. We studied impacts of soil type and management on an agroecosystem using an automated system with modern modeling approaches. We modeled ET at high spatial and temporal resolution to highlight differences in heterogeneous soils on an hourly basis. Our results show significant differences in yield and smaller differences in ET overall, impacting water use efficiency.
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.
Peter Stimmler, Mathias Goeckede, Bo Elberling, Susan Natali, Peter Kuhry, Nia Perron, Fabrice Lacroix, Gustaf Hugelius, Oliver Sonnentag, Jens Strauss, Christina Minions, Michael Sommer, and Jörg Schaller
Earth Syst. Sci. Data, 15, 1059–1075, https://doi.org/10.5194/essd-15-1059-2023, https://doi.org/10.5194/essd-15-1059-2023, 2023
Short summary
Short summary
Arctic soils store large amounts of carbon and nutrients. The availability of nutrients, such as silicon, calcium, iron, aluminum, phosphorus, and amorphous silica, is crucial to understand future carbon fluxes in the Arctic. Here, we provide, for the first time, a unique dataset of the availability of the abovementioned nutrients for the different soil layers, including the currently frozen permafrost layer. We relate these data to several geographical and geological parameters.
Cindy Quik, Ype van der Velde, Jasper H. J. Candel, Luc Steinbuch, Roy van Beek, and Jakob Wallinga
Biogeosciences, 20, 695–718, https://doi.org/10.5194/bg-20-695-2023, https://doi.org/10.5194/bg-20-695-2023, 2023
Short summary
Short summary
In NW Europe only parts of former peatlands remain. When these peatlands formed is not well known but relevant for questions on landscape, climate and archaeology. We investigated the age of Fochteloërveen, using radiocarbon dating and modelling. Results show that peat initiated at several sites 11 000–7000 years ago and expanded rapidly 5000 years ago. Our approach may ultimately be applied to model peat ages outside current remnants and provide a view of these lost landscapes.
W. Marijn van der Meij
SOIL, 8, 381–389, https://doi.org/10.5194/soil-8-381-2022, https://doi.org/10.5194/soil-8-381-2022, 2022
Short summary
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.
Marc Wehrhan, Daniel Puppe, Danuta Kaczorek, and Michael Sommer
Biogeosciences, 18, 5163–5183, https://doi.org/10.5194/bg-18-5163-2021, https://doi.org/10.5194/bg-18-5163-2021, 2021
Short summary
Short summary
UAS remote sensing provides a promising tool for new insights into Si biogeochemistry at catchment scale. Our study on an artificial catchment shows surprisingly high silicon stocks in the biomass of two grass species (C. epigejos, 7 g m−2; P. australis, 27 g m−2). The distribution of initial sediment properties (clay, Tiron-extractable Si, nitrogen, plant-available potassium) controlled the spatial distribution of C. epigejos. Soil wetness determined the occurrence of P. australis.
Daniel A. Frick, Rainer Remus, Michael Sommer, Jürgen Augustin, Danuta Kaczorek, and Friedhelm von Blanckenburg
Biogeosciences, 17, 6475–6490, https://doi.org/10.5194/bg-17-6475-2020, https://doi.org/10.5194/bg-17-6475-2020, 2020
Short summary
Short summary
Silicon is taken up by some plants to increase structural stability and to develop stress resistance and is rejected by others. To explore the underlying mechanisms, we used the stable isotopes of silicon that shift in their relative abundance depending on the biochemical transformation involved. On species with a rejective (tomato, mustard) and active (wheat) uptake mechanism, grown in hydroculture, we found that the transport of silicic acid is controlled by the precipitation of biogenic opal.
Florian Wilken, Michael Ketterer, Sylvia Koszinski, Michael Sommer, and Peter Fiener
SOIL, 6, 549–564, https://doi.org/10.5194/soil-6-549-2020, https://doi.org/10.5194/soil-6-549-2020, 2020
Short summary
Short summary
Soil redistribution by water and tillage erosion processes on arable land is a major threat to sustainable use of soil resources. We unravel the role of tillage and water erosion from fallout radionuclide (239+240Pu) activities in a ground moraine landscape. Our results show that tillage erosion dominates soil redistribution processes and has a major impact on the hydrological and sedimentological connectivity, which started before the onset of highly mechanised farming since the 1960s.
Jannis Groh, Jan Vanderborght, Thomas Pütz, Hans-Jörg Vogel, Ralf Gründling, Holger Rupp, Mehdi Rahmati, Michael Sommer, Harry Vereecken, and Horst H. Gerke
Hydrol. Earth Syst. Sci., 24, 1211–1225, https://doi.org/10.5194/hess-24-1211-2020, https://doi.org/10.5194/hess-24-1211-2020, 2020
Jalal Samia, Arnaud Temme, Arnold Bregt, Jakob Wallinga, Fausto Guzzetti, and Francesca Ardizzone
Nat. Hazards Earth Syst. Sci., 20, 271–285, https://doi.org/10.5194/nhess-20-271-2020, https://doi.org/10.5194/nhess-20-271-2020, 2020
Short summary
Short summary
For the Collazzone study area in Italy, we quantified how much landslides follow others using Ripley's K function, finding that susceptibility is increased within 60 m and 17 years after a previous landslide. We then calculated the increased susceptibility for every pixel and for the 17-time-slice landslide inventory. We used these as additional explanatory variables in susceptibility modelling. Model performance increased substantially with this landslide history component included.
Elizabeth L. Chamberlain and Jakob Wallinga
Earth Surf. Dynam., 7, 723–736, https://doi.org/10.5194/esurf-7-723-2019, https://doi.org/10.5194/esurf-7-723-2019, 2019
Short summary
Short summary
Sand and mud may take many different pathways within a river as they travel from inland to the coast. During the trip, grains may be exposed to daylight, resetting a signal trapped within certain minerals. The signal can be measured in a laboratory to estimate the time since last light exposure. Here, we measure the trapped signal of sand and mud grains from the Mississippi River and its banks. We use this information to infer sediment pathways. Such knowledge is useful for delta management.
Jasper H. J. Candel, Maarten G. Kleinhans, Bart Makaske, Wim Z. Hoek, Cindy Quik, and Jakob Wallinga
Earth Surf. Dynam., 6, 723–741, https://doi.org/10.5194/esurf-6-723-2018, https://doi.org/10.5194/esurf-6-723-2018, 2018
Short summary
Short summary
In this study we show how the Overijsselse Vecht river changed from a laterally stable to a meandering river ca. 500 years ago. We developed a methodology to reconstruct the historical discharge and found that the change in river style was caused by an increase in peak discharges. This increase was likely caused by the Little Ice Age and land use changes in the catchment (peat reclamation and exploitation). This study shows how river style changes as a result of discharge regime changes.
Cindy Quik and Jakob Wallinga
Earth Surf. Dynam., 6, 705–721, https://doi.org/10.5194/esurf-6-705-2018, https://doi.org/10.5194/esurf-6-705-2018, 2018
Short summary
Short summary
Identifying contemporary river migration rates is often based on aerial photos or recent topographical maps. Here, we propose to use river sediments as an archive to look further back in time using optically stimulated luminescence (OSL) dating and develop a modelling procedure for the joint analysis of dating results and historical maps. The procedure is applied to the Overijsselse Vecht river in The Netherlands, and we show that the river migrated with 0.9–2.6 m yr−1 between 1400 and 1900 CE.
Daniel Puppe, Axel Höhn, Danuta Kaczorek, Manfred Wanner, Marc Wehrhan, and Michael Sommer
Biogeosciences, 14, 5239–5252, https://doi.org/10.5194/bg-14-5239-2017, https://doi.org/10.5194/bg-14-5239-2017, 2017
Short summary
Short summary
We quantified different biogenic Si pools in soils of a developing ecosystem and analyzed their influence on short-term changes of the water soluble Si fraction. From our results we concluded small (< 5 µm) and/or fragile phytogenic Si structures to have the biggest impact on short-term changes of water soluble Si. Analyses of these phytogenic Si structures are urgently needed in future as they seem to represent the most important driver of Si cycling in terrestrial biogeosystems in general.
Kees Nooren, Wim Z. Hoek, Tim Winkels, Annika Huizinga, Hans Van der Plicht, Remke L. Van Dam, Sytze Van Heteren, Manfred J. Van Bergen, Maarten A. Prins, Tony Reimann, Jakob Wallinga, Kim M. Cohen, Philip Minderhoud, and Hans Middelkoop
Earth Surf. Dynam., 5, 529–556, https://doi.org/10.5194/esurf-5-529-2017, https://doi.org/10.5194/esurf-5-529-2017, 2017
Short summary
Short summary
We demonstrate that the world's largest beach-ridge plain in southern Mexico was formed under an ample long-term fluvial sediment supply. The beach-ridge elevation is strongly influenced by aeolian accretion during the time when the ridge is located next to the beach. The beach-ridge elevation is negatively correlated with the progradation rate, which we relate to the variability in sediment supply to the coastal zone, reflecting decadal-scale precipitation changes within the river catchment.
Mathias Hoffmann, Nicole Jurisch, Juana Garcia Alba, Elisa Albiac Borraz, Marten Schmidt, Vytas Huth, Helmut Rogasik, Helene Rieckh, Gernot Verch, Michael Sommer, and Jürgen Augustin
Biogeosciences, 14, 1003–1019, https://doi.org/10.5194/bg-14-1003-2017, https://doi.org/10.5194/bg-14-1003-2017, 2017
Short summary
Short summary
We present a suitable and reliable method to detect short-term and small-scale soil organic carbon stock dynamics (ΔSOC). Spatiotemporal dynamics of ΔSOC are determined for a 5-year study period at the experimental field trial
CarboZALFusing automatic chamber measurements of NEE and modeled NPPshoot. Results were compared against ΔSOC observed from repeated soil inventories. Both ∆SOC data sets corresponded well regarding their magnitude and spatial tendency.
Mathias Hoffmann, Maximilian Schulz-Hanke, Juana Garcia Alba, Nicole Jurisch, Ulrike Hagemann, Torsten Sachs, Michael Sommer, and Jürgen Augustin
Atmos. Meas. Tech., 10, 109–118, https://doi.org/10.5194/amt-10-109-2017, https://doi.org/10.5194/amt-10-109-2017, 2017
Short summary
Short summary
Processes driving production and transport of CH4 in wetlands are complex. We present an algorithm to separate open-water automatic chamber CH4 fluxes into diffusion and ebullition. This helps to reveal dynamics, identify drivers and obtain reliable CH4 emissions. The algorithm is based on sudden concentration changes during single measurements. A variable filter is applied using a multiple of the interquartile range. The algorithm was verified for data of a rewetted former fen grassland site.
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.
Saskia D. Keesstra, Johan Bouma, Jakob Wallinga, Pablo Tittonell, Pete Smith, Artemi Cerdà, Luca Montanarella, John N. Quinton, Yakov Pachepsky, Wim H. van der Putten, Richard D. Bardgett, Simon Moolenaar, Gerben Mol, Boris Jansen, and Louise O. Fresco
SOIL, 2, 111–128, https://doi.org/10.5194/soil-2-111-2016, https://doi.org/10.5194/soil-2-111-2016, 2016
Short summary
Short summary
Soil science, as a land-related discipline, has links to several of the UN Sustainable Development Goals which are demonstrated through the functions of soils and related ecosystem services. We discuss how soil scientists can rise to the challenge both internally and externally in terms of our relations with colleagues in other disciplines, diverse groups of stakeholders and the policy arena. To meet these goals we recommend the set of steps to be taken by the soil science community as a whole.
M. Hoffmann, M. Schulz-Hanke, J. Garcia Alba, N. Jurisch, U. Hagemann, T. Sachs, M. Sommer, and J. Augustin
Biogeosciences Discuss., https://doi.org/10.5194/bgd-12-12923-2015, https://doi.org/10.5194/bgd-12-12923-2015, 2015
Manuscript not accepted for further review
Short summary
Short summary
Processes driving the production, transformation and transport of CH4 in wetlands are highly complex. Thus, serious challenges are constitutes in terms of process understanding, potential drivers and the calculation of reliable CH4 emission estimates. We present a simple calculation algorithm to separate CH4 fluxes measured with closed chambers into diffusion- and ebullition-derived components, which helps facilitating the identification of underlying dynamics and potential drivers.
M. Pohl, M. Hoffmann, U. Hagemann, M. Giebels, E. Albiac Borraz, M. Sommer, and J. Augustin
Biogeosciences, 12, 2737–2752, https://doi.org/10.5194/bg-12-2737-2015, https://doi.org/10.5194/bg-12-2737-2015, 2015
Short summary
Short summary
Dynamic SOC and N stocks in the aerobic zone play a key role in the regulation of plant- and microbially mediated CO2 and CH4 fluxes in drained and cultivated fen peatlands. Their interaction with the groundwater level (GWL) strongly influenced soil C gas exchange, indicating effects of GWL-dependent N availability on C formation and transformation processes in the plant--soil system. In contrast, static SOC and N stocks showed no significant effect on C gas fluxes.
B. A. Miller, S. Koszinski, M. Wehrhan, and M. Sommer
SOIL, 1, 217–233, https://doi.org/10.5194/soil-1-217-2015, https://doi.org/10.5194/soil-1-217-2015, 2015
Short summary
Short summary
There are many different strategies for mapping SOC, among which is to model the variables needed to calculate the SOC stock indirectly or to model the SOC stock directly. The purpose of this research was to compare these two approaches for mapping SOC stocks from multiple linear regression models applied at the landscape scale via spatial association. Although the indirect approach had greater spatial variation and higher R2 values, the direct approach had a lower total estimated error.
A. C. Cunningham, J. Wallinga, N. Hobo, A. J. Versendaal, B. Makaske, and H. Middelkoop
Earth Surf. Dynam., 3, 55–65, https://doi.org/10.5194/esurf-3-55-2015, https://doi.org/10.5194/esurf-3-55-2015, 2015
Short summary
Short summary
Rivers transport sediment from mountains to coast, but on the way sediment is trapped and re-eroded multiple times. We looked at Rhine river sediments to see if they preserve evidence of how geomorphic variables have changed over time. We found that measured signals potentially relate to water level and river management practices. These relationships can be treated as hypotheses to guide further research, and our statistical approach will increase the utility of research in this field.
J. Leifeld, C. Bader, E. Borraz, M. Hoffmann, M. Giebels, M. Sommer, and J. Augustin
Biogeosciences Discuss., https://doi.org/10.5194/bgd-11-12341-2014, https://doi.org/10.5194/bgd-11-12341-2014, 2014
Revised manuscript not accepted
M. Sommer, H. Jochheim, A. Höhn, J. Breuer, Z. Zagorski, J. Busse, D. Barkusky, K. Meier, D. Puppe, M. Wanner, and D. Kaczorek
Biogeosciences, 10, 4991–5007, https://doi.org/10.5194/bg-10-4991-2013, https://doi.org/10.5194/bg-10-4991-2013, 2013
Related subject area
Soil systems
Evolutionary pathways in soil-landscape evolution models
Effects of environmental factors on the influence of tillage conversion on saturated soil hydraulic conductivity obtained with different methodologies: a global meta-analysis
Assessing soil and land health across two landscapes in eastern Rwanda to inform restoration activities
Nonlinear turnover rates of soil carbon following cultivation of native grasslands and subsequent afforestation of croplands
The effect of soil properties on zinc lability and solubility in soils of Ethiopia – an isotopic dilution study
Comparison of regolith physical and chemical characteristics with geophysical data along a climate and ecological gradient, Chilean Coastal Cordillera (26 to 38° S)
Obtaining more benefits from crop residues as soil amendments by application as chemically heterogeneous mixtures
Soil environment grouping system based on spectral, climate, and terrain data: a quantitative branch of soil series
Spatially resolved soil solution chemistry in a central European atmospherically polluted high-elevation catchment
On-farm study reveals positive relationship between gas transport capacity and organic carbon content in arable soil
Soil bacterial community and functional shifts in response to altered snowpack in moist acidic tundra of northern Alaska
Potential for agricultural production on disturbed soils mined for apatite using legumes and beneficial microbe
Zero net livelihood degradation – the quest for a multidimensional protocol to combat desertification
Soil microbial communities following bush removal in a Namibian savanna
Effects of land use changes on the dynamics of selected soil properties in northeast Wellega, Ethiopia
Soil biochemical properties in brown and gray mine soils with and without hydroseeding
Quantifying soil and critical zone variability in a forested catchment through digital soil mapping
W. Marijn van der Meij
SOIL, 8, 381–389, https://doi.org/10.5194/soil-8-381-2022, https://doi.org/10.5194/soil-8-381-2022, 2022
Short summary
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.
Kaihua Liao, Juan Feng, Xiaoming Lai, and Qing Zhu
SOIL, 8, 309–317, https://doi.org/10.5194/soil-8-309-2022, https://doi.org/10.5194/soil-8-309-2022, 2022
Short summary
Short summary
The influence of the conversion from conventional tillage (CT) to conservation tillage (CS; including no tillage, NT, and reduced tillage, RT) on the saturated hydraulic conductivity (Ksat) of soils is not well understood and still debated. This study has demonstrated that quantifying the effects of tillage conversion on soil Ksat needed to consider experimental conditions, especially the measurement technique and conversion period.
Leigh Ann Winowiecki, Aida Bargués-Tobella, Athanase Mukuralinda, Providence Mujawamariya, Elisée Bahati Ntawuhiganayo, Alex Billy Mugayi, Susan Chomba, and Tor-Gunnar Vågen
SOIL, 7, 767–783, https://doi.org/10.5194/soil-7-767-2021, https://doi.org/10.5194/soil-7-767-2021, 2021
Short summary
Short summary
Achieving global restoration targets requires scaling of context-specific restoration options on the ground. We implemented the Land Degradation Surveillance Framework in Rwanda to assess indicators of soil and land health, including soil organic carbon (SOC), erosion prevalence, infiltration capacity, and tree biodiversity. Maps of soil erosion and SOC were produced at 30 m resolution with high accuracy. These data provide a rigorous biophysical baseline for tracking changes over time.
Guillermo Hernandez-Ramirez, Thomas J. Sauer, Yury G. Chendev, and Alexander N. Gennadiev
SOIL, 7, 415–431, https://doi.org/10.5194/soil-7-415-2021, https://doi.org/10.5194/soil-7-415-2021, 2021
Short summary
Short summary
We evaluated how sequestration of soil carbon changes over the long term after converting native grasslands into croplands and also from annual cropping into trees. Soil carbon was reduced by cropping but increased with tree planting. This decrease in carbon storage with annual cropping happened over centuries, while trees increase soil carbon over just a few decades. Growing trees in long-term croplands emerged as a climate-change-mitigating action, effective even within a person’s lifetime.
Abdul-Wahab Mossa, Dawd Gashu, Martin R. Broadley, Sarah J. Dunham, Steve P. McGrath, Elizabeth H. Bailey, and Scott D. Young
SOIL, 7, 255–268, https://doi.org/10.5194/soil-7-255-2021, https://doi.org/10.5194/soil-7-255-2021, 2021
Short summary
Short summary
Zinc deficiency is a widespread nutritional problem in human populations, especially in sub-Saharan Africa (SSA). Crop Zn depends in part on soil Zn. The Zn status of soils from the Amahara region, Ethiopia, was quantified by measuring pseudo-total, available, soluble and isotopically exchangeable Zn, and soil geochemical properties were assessed. Widespread phyto-available Zn deficiency was observed. The results could be used to improve agronomic interventions to tackle Zn deficiency in SSA.
Mirjam Schaller, Igor Dal Bo, Todd A. Ehlers, Anja Klotzsche, Reinhard Drews, Juan Pablo Fuentes Espoz, and Jan van der Kruk
SOIL, 6, 629–647, https://doi.org/10.5194/soil-6-629-2020, https://doi.org/10.5194/soil-6-629-2020, 2020
Short summary
Short summary
In this study geophysical observations from ground-penetrating radar with pedolith physical and geochemical properties from pedons excavated in four study areas of the climate and ecological gradient in the Chilean Coastal Cordillera are combined. Findings suggest that profiles with ground-penetrating radar along hillslopes can be used to infer lateral thickness variations in pedolith horizons and to some degree physical and chemical variations with depth.
Marijke Struijk, Andrew P. Whitmore, Simon R. Mortimer, and Tom Sizmur
SOIL, 6, 467–481, https://doi.org/10.5194/soil-6-467-2020, https://doi.org/10.5194/soil-6-467-2020, 2020
Short summary
Short summary
Crop residues are widely available on-farm resources containing carbon and nutrients, but, as soil amendments, their decomposition does not always benefit the soil. We applied mixtures of crop residues that are chemically different from each other and found significantly increased soil organic matter and available nitrogen levels. Applying crop residue mixtures has practical implications involving the removal, mixing and reapplication rather than simply returning crop residues to soils in situ.
Andre Carnieletto Dotto, Jose A. M. Demattê, Raphael A. Viscarra Rossel, and Rodnei Rizzo
SOIL, 6, 163–177, https://doi.org/10.5194/soil-6-163-2020, https://doi.org/10.5194/soil-6-163-2020, 2020
Short summary
Short summary
The objective of this study was to develop a soil grouping system based on spectral, climate, and terrain variables with the aim of developing a quantitative way to classify soils. To derive the new system, we applied the above-mentioned variables using cluster analysis and defined eight groups or "soil environment groupings" (SEGs). The SEG system facilitated the identification of groups with similar characteristics using not only soil but also environmental variables for their distinction.
Daniel A. Petrash, Frantisek Buzek, Martin Novak, Bohuslava Cejkova, Pavel Kram, Tomas Chuman, Jan Curik, Frantisek Veselovsky, Marketa Stepanova, Oldrich Myska, Pavla Holeckova, and Leona Bohdalkova
SOIL, 5, 205–221, https://doi.org/10.5194/soil-5-205-2019, https://doi.org/10.5194/soil-5-205-2019, 2019
Short summary
Short summary
Some 30 years after peak pollution-related soil acidification occurred in central Europe, the forest ecosystem of a small V-shaped mountain valley, UDL, was still out of chemical balance relative to the concurrent loads of anions and cations in precipitation. The spatial variability in soil solution chemistry provided evidence pointing to substrate variability, C and P bioavailability, and landscape as major controls on base metal leaching toward the subsoil level in N-saturated catchments.
Tino Colombi, Florian Walder, Lucie Büchi, Marlies Sommer, Kexing Liu, Johan Six, Marcel G. A. van der Heijden, Raphaël Charles, and Thomas Keller
SOIL, 5, 91–105, https://doi.org/10.5194/soil-5-91-2019, https://doi.org/10.5194/soil-5-91-2019, 2019
Short summary
Short summary
The role of soil aeration in carbon sequestration in arable soils has only been explored little, especially at the farm level. The current study, which was conducted on 30 fields that belong to individual farms, reveals a positive relationship between soil gas transport capability and soil organic carbon content. We therefore conclude that soil aeration needs to be accounted for when developing strategies for carbon sequestration in arable soil.
Michael P. Ricketts, Rachel S. Poretsky, Jeffrey M. Welker, and Miquel A. Gonzalez-Meler
SOIL, 2, 459–474, https://doi.org/10.5194/soil-2-459-2016, https://doi.org/10.5194/soil-2-459-2016, 2016
Short summary
Short summary
Soil microbial communities play a key role in the cycling of carbon (C) in Arctic tundra ecosystems through decomposition of organic matter (OM). Climate change predictions include increased temperature and snow accumulation, resulting in altered plant communities and soil conditions. To determine how soil bacteria may respond, we sequenced soil DNA from a long-term snow depth treatment gradient in Alaska. Results indicate that bacteria produce less OM-degrading enzymes under deeper snowpack.
Rebecca Swift, Liza Parkinson, Thomas Edwards, Regina Carr, Jen McComb, Graham W. O'Hara, Giles E. St. John Hardy, Lambert Bräu, and John Howieson
SOIL Discuss., https://doi.org/10.5194/soil-2016-33, https://doi.org/10.5194/soil-2016-33, 2016
Preprint retracted
Marcos H. Easdale
SOIL, 2, 129–134, https://doi.org/10.5194/soil-2-129-2016, https://doi.org/10.5194/soil-2-129-2016, 2016
Short summary
Short summary
Zero Net Land Degradation (ZNLD) was proposed as a new global protocol to combat desertification. This framework aims at reducing the rate of global land degradation and increasing the rate of restoration of already degraded land. However, there is a narrow focus on land and soil, while an essential human dimension to the sustainability of drylands is lacking and should be more adequately tackled. I propose a complementary perspective based on the sustainable livelihood approach.
Jeffrey S. Buyer, Anne Schmidt-Küntzel, Matti Nghikembua, Jude E. Maul, and Laurie Marker
SOIL, 2, 101–110, https://doi.org/10.5194/soil-2-101-2016, https://doi.org/10.5194/soil-2-101-2016, 2016
Short summary
Short summary
Savannas represent most of the world’s livestock grazing land and are suffering worldwide from bush encroachment and desertification. We studied soil under bush and grass in a bush-encroached savanna in Namibia. With bush removal, there were significant changes in soil chemistry and microbial community structure, but these changes gradually diminished with time. Our results indicate that the ecosystem can substantially recover over a time period of approximately 10 years following bush removal.
Alemayehu Adugna and Assefa Abegaz
SOIL, 2, 63–70, https://doi.org/10.5194/soil-2-63-2016, https://doi.org/10.5194/soil-2-63-2016, 2016
Short summary
Short summary
The purpose of our study was to explore the effects of land use changes on the dynamics of soil properties and their implications for land degradation. The result indicates that cultivated land has a lower organic matter, total nitrogen, cation exchange capacity, pH, and exchangeable Ca2+ and Mg2+ contents than forestland and grazing land.
C. Thomas, A. Sexstone, and J. Skousen
SOIL, 1, 621–629, https://doi.org/10.5194/soil-1-621-2015, https://doi.org/10.5194/soil-1-621-2015, 2015
Short summary
Short summary
Surface coal mining disrupts large areas of land and eliminates valuable hardwood forests. Restoring the land to a sustainable forest ecosystem with suitable soils is the goal of reclamation. Soil microbial activity is an indicator of restoration success. We found hydroseeding with herbaceous forage species and fertilization doubled tree growth and microbial biomass carbon (an indicator of microbial activity) compared to non-hydroseed areas. Hydroseeding is an important component of reclamation.
M. Holleran, M. Levi, and C. Rasmussen
SOIL, 1, 47–64, https://doi.org/10.5194/soil-1-47-2015, https://doi.org/10.5194/soil-1-47-2015, 2015
Cited articles
Alewell, C., Egli, M., and Meusburger, K.: An attempt to estimate tolerable
soil erosion rates by matching soil formation with denudation in Alpine
grasslands, J. Soil. Sediment., 15, 1383–1399, 2015.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop
evapotranspiration-Guidelines for computing crop water requirements,
Irrigation and drainage paper 56, FAO, Rome, 1998.
Amundson, R. and Jenny, H.: The place of humans in the state factor theory
of ecosystems and their soils, Soil Sci., 151, 99–109, 1991.
Amundson, R., Berhe, A. A., Hopmans, J. W., Olson, C., Sztein, A. E., and
Sparks, D. L.: Soil and human security in the 21st century, Science, 348,
1261071, https://doi.org/10.1126/science.1261071, 2015.
Angelini, M. E., Heuvelink, G. B. M., Kempen, B., and Morrás, H. J. M.:
Mapping the soils of an Argentine Pampas region using structural equation
modelling, Geoderma, 281, 102–118, 2016.
Bai, Z. G., Dent, D. L., Olsson, L., and Schaepman, M. E.: Proxy global
assessment of land degradation, Soil Use Manage., 24, 223–234, 2008.
Bajard, M., Poulenard, J., Sabatier, P., Develle, A.-L., Giguet-Covex, C.,
Jacob, J., Crouzet, C., David, F., Pignol, C., and Arnaud, F.: Progressive
and regressive soil evolution phases in the Anthropocene, CATENA, 150,
39–52, 2017.
Barnhart, K. R., Glade, R. C., Shobe, C. M., and Tucker, G. E.: Terrainbento 1.0: a Python package for multi-model analysis in long-term drainage basin evolution, Geosci. Model Dev., 12, 1267–1297, https://doi.org/10.5194/gmd-12-1267-2019, 2019.
Berhe, A. A., Barnes, R. T., Six, J., and Marín-Spiotta, E.: Role of
Soil Erosion in Biogeochemical Cycling of Essential Elements: Carbon,
Nitrogen, and Phosphorus, Annu. Rev. Earth Pl. Sc., 46,
521–548, 2018.
Bibby, J. S. and Mackney, D.: Land use capability classification, Rothamsted
Experimental Station, Harpenden, England, 27 pp., 1969.
Bouma, J.: Soil science contributions towards sustainable development goals
and their implementation: linking soil functions with ecosystem services,
J. Plant Nutr. Soil. Sc., 177, 111–120, 2014.
Brubaker, S. C., Holzhey, C. S., and Brasher, B. R.: Estimating the
water-dispersible clay content of soils, Soil Sci. Soc. Am.
J., 56, 1226–1232, 1992.
Budyko, M. I. and Miller, D. H.: Climate and life, Academic press, New York, 507 pp.,
1974.
Catt, J. A.: The agricultural importance of loess, Earth-Sci. Rev.,
54, 213–229, 2001.
Chappell, A., Baldock, J., and Sanderman, J.: The global significance of
omitting soil erosion from soil organic carbon cycling schemes, Nat.
Clim. Change, 6, 187–191, 2015.
Chen, S., Richer-de-Forges, A. C., Saby, N. P. A., Martin, M. P., Walter,
C., and Arrouays, D.: Building a pedotransfer function for soil bulk density
on regional dataset and testing its validity over a larger area, Geoderma,
312, 52–63, 2018.
Christakos, G.: Modern spatiotemporal geostatistics, Oxford University
Press, Oxford, 312 pp., 2000.
Cowie, A. L., Orr, B. J., Castillo Sanchez, V. M., Chasek, P., Crossman, N.
D., Erlewein, A., Louwagie, G., Maron, M., Metternicht, G. I., Minelli, S.,
Tengberg, A. E., Walter, S., and Welton, S.: Land in balance: The scientific
conceptual framework for Land Degradation Neutrality, Environ. Sci.
Pol. 79, 25–35, 2018.
De Alba, S., Lindstrom, M., Schumacher, T. E., and Malo, D. D.: Soil
landscape evolution due to soil redistribution by tillage: a new conceptual
model of soil catena evolution in agricultural landscapes, CATENA, 58,
77–100, 2004.
De Vos, B., Cools, N., Ilvesniemi, H., Vesterdal, L., Vanguelova, E., and
Carnicelli, S.: Benchmark values for forest soil carbon stocks in Europe:
Results from a large scale forest soil survey, Geoderma, 251/252, 33–46,
2015.
Doetterl, S., Six, J., Van Wesemael, B., and Van Oost, K.: Carbon cycling in
eroding landscapes: geomorphic controls on soil organic C pool composition
and C stabilization, Glob. Change Biol., 18, 2218–2232, 2012.
Doetterl, S., Berhe, A. A., Nadeu, E., Wang, Z., Sommer, M., and Fiener, P.:
Erosion, deposition and soil carbon: A review of process-level controls,
experimental tools and models to address C cycling in dynamic landscapes,
Earth-Sci. Rev., 154, 102–122, 2016.
Dominati, E., Patterson, M., and Mackay, A.: A framework for classifying and
quantifying the natural capital and ecosystem services of soils, Ecol.
Econ., 69, 1858–1868, 2010.
Dotterweich, M.: The history of soil erosion and fluvial deposits in small
catchments of central Europe: Deciphering the long-term interaction between
humans and the environment – A review, Geomorphology, 101, 192–208, 2008.
Dudal, R.: The sixth factor of soil formation, Euras. Soil Sci., 38, S60–S65, 2005.
Dürr, H. H., Meybeck, M., and Dürr, S. H.: Lithologic composition of the Earth's continental surfaces derived from a new digital map emphasizing riverine material transfer, Global Biogeochem. Cy., 19, GB4S10, https://doi.org/10.1029/2005GB002515, 2005.
DWD Climate Data Center (CDC): Historical daily station observations
(temperature, pressure, precipitation, sunshine duration, etc.) for Germany,
version v006, available at: https://opendata.dwd.de/climate_environment/...air_temperature/, 2018a.
DWD Climate Data Center (CDC): Historical hourly station observations of
precipitation for Germany, version v006, available at: https://opendata.dwd.de/climate_environment/...precipitation/, 2018b.
Egli, M., Wernli, M., Kneisel, C., and Haeberli, W.: Melting glaciers and
soil development in the proglacial area Morteratsch (Swiss Alps): I. Soil
type chronosequence, Arct. Antarct. Alp. Res., 38, 499–509,
2006.
Ellis, B. and Foth, H.: Soil fertility, CRC Press, Boca Raton, Florida, 290 pp.,
1996.
Fick, S. E. and Hijmans, R. J.: WorldClim 2: new 1-km spatial resolution
climate surfaces for global land areas, Int. J.
Climatol., 37, 4302–4315, 2017.
Finke, P. A.: Modeling the genesis of luvisols as a function of topographic
position in loess parent material, Quaternary Int., 265, 3–17,
2012.
Finke, P. A., Vanwalleghem, T., Opolot, E., Poesen, J., and Deckers, J.:
Estimating the effect of tree uprooting on variation of soil horizon depth
by confronting pedogenetic simulations to measurements in a Belgian loess
area, J. Geophys. Re.-Earth Sur., 118, 2124–2139, 2013.
Follain, S., Minasny, B., McBratney, A. B., and Walter, C.: Simulation of
soil thickness evolution in a complex agricultural landscape at fine spatial
and temporal scales, Geoderma, 133, 71–86, 2006.
Gabet, E. J., Reichman, O. J., and Seabloom, E. W.: The effects of
bioturbation on soil processes and sediment transport, Annu. Rev.
Earth Pl. Sc., 31, 249–273, 2003.
Gallaway, J. M., Martin, Y. E., and Johnson, E. A.: Sediment transport due
to tree root throw: integrating tree population dynamics, wildfire and
geomorphic response, Earth Surf. Proc. Land., 34, 1255–1269,
2009.
Gasch, C. K., Hengl, T., Gräler, B., Meyer, H., Magney, T. S., and
Brown, D. J.: Spatio-temporal interpolation of soil water, temperature, and
electrical conductivity in 3D + T: The Cook Agronomy Farm data set,
Spat. Stat.-Neth., 14, 70–90, 2015.
Gessler, P. E., Chadwick, O. A., Chamran, F., Althouse, L., and Holmes, K.:
Modeling Soil–Landscape and Ecosystem Properties Using Terrain Attributes,
Soil Sci. Soc. Am. J., 64, 2046–2056, 2000.
Greiner, L., Keller, A., Grêt-Regamey, A., and Papritz, A.: Soil
function assessment: review of methods for quantifying the contributions of
soils to ecosystem services, Land Use Policy, 69, 224–237, 2017.
Grunwald, S.: Multi-criteria characterization of recent digital soil mapping
and modeling approaches, Geoderma, 152, 195–207, 2009.
Guo, L. B. and Gifford, R. M.: Soil carbon stocks and land use change: a
meta analysis, Glob. Change Biol., 8, 345–360, 2002.
Harden, J. W.: Genetic interpretations of elemental and chemical differences
in a soil chronosequence, California, Geoderma, 43, 179–193, 1988.
Harden, J. W., Sharpe, J. M., Parton, W. J., Ojima, D. S., Fries, T. L.,
Huntington, T. G., and Dabney, S. M.: Dynamic replacement and loss of soil
carbon on eroding cropland, Global Biogeochem. Cy., 13, 885–901, 1999.
Hargreaves, G. H. and Samani, Z. A.: Reference crop evapotranspiration from
temperature, Appl. Eng. Agr., 1, 96–99, 1985.
Heuvelink, G. B. M. and Webster, R.: Modelling soil variation: past,
present, and future, Geoderma, 100, 269–301, 2001.
Holmgren, P.: Multiple flow direction algorithms for runoff modelling in
grid based elevation models: An empirical evaluation, Hydrol.
Process., 8, 327–334, 1994.
Hunter, N. M., Bates, P. D., Horritt, M. S., and Wilson, M. D.: Simple
spatially-distributed models for predicting flood inundation: A review,
Geomorphology, 90, 208–225, 2007.
IPCC: Climate Change and Land: an IPCC special report on climate change,
desertification, land degradation, sustainable land management, food
security, and greenhouse gas fluxes in terrestrial ecosystems, IPCC, 896 pp., 2019.
Jagercikova, M., Cornu, S., Bourlès, D., Evrard, O., Hatté, C., and
Balesdent, J.: Quantification of vertical solid matter transfers in soils
during pedogenesis by a multi-tracer approach, J. Soil.
Sediment., 17, 408–422, 2017.
Jenny, H.: Factors of soil formation: a system of quantitative pedology,
McGraw-Hill, New York, 320 pp., 1941.
Johnson, D. L. and Watson-Stegner, D.: Evolution model of pedogenesis, Soil
Sci., 143, 349–366, 1987.
Keesstra, S., Mol, G., De Leeuw, J., Okx, J., De Cleen, M., and Visser, S.:
Soil-related sustainable development goals: Four concepts to make land
degradation neutrality and restoration work, Land, 7, 133, 2018.
Keyvanshokouhi, S., Cornu, S., Samouelian, A., and Finke, P.: Evaluating
SoilGen2 as a tool for projecting soil evolution induced by global change,
Sci. Total Environ., 571, 110–123, 2016.
Kirkby, M. J.: A conceptual model for physical and chemical soil profile
evolution, Geoderma, 331, 121–130, 2018.
Kust, G., Andreeva, O., and Cowie, A.: Land Degradation Neutrality: Concept
development, practical applications and assessment, J. Environ.
Manage., 195, 16–24, 2017.
Lal, R.: Accelerated Soil erosion as a source of atmospheric CO2, Soil
Till. Res., 188, 35–40, 2019.
Leopold, M. and Völkel, J.: Colluvium: Definition, differentiation, and
possible suitability for reconstructing Holocene climate data, Quaternary
Int., 162/163, 133–140, 2007.
Liu, Z., Shao, M. A., and Wang, Y.: Effect of environmental factors on
regional soil organic carbon stocks across the Loess Plateau region, China,
Agr. Ecosyst. Environ., 142, 184–194, 2011.
Lugato, E., Smith, P., Borrelli, P., Panagos, P., Ballabio, C., Orgiazzi,
A., Fernandez-Ugalde, O., Montanarella, L., and Jones, A.: Soil erosion is
unlikely to drive a future carbon sink in Europe, Sci. Adv., 4,
eaau3523, https://doi.org/10.1126/sciadv.aau3523, 2018.
Marschmann, G. L., Pagel, H., Kügler, P., and Streck, T.: Equifinality,
sloppiness, and emergent structures of mechanistic soil biogeochemical
models, Environ. Model. Softw., 122, 104518, https://doi.org/10.1016/j.envsoft.2019.104518, 2019.
McBratney, A. B., Santos, M. M., and Minasny, B.: On digital soil mapping,
Geoderma, 117, 3–52, 2003.
Metzen, D., Sheridan, G. J., Benyon, R. G., Bolstad, P. V., Griebel, A., and
Lane, P. N. J.: Spatio-temporal transpiration patterns reflect vegetation
structure in complex upland terrain, Sci. Total Environ., 694,
133551, https://doi.org/10.1016/j.scitotenv.2019.07.357, 2019.
Minasny, B., McBratney, A. B., and Salvador-Blanes, S.: Quantitative models
for pedogenesis – A review, Geoderma, 144, 140–157, 2008.
Minasny, B., Finke, P. A., Stockmann, U., Vanwalleghem, T., and McBratney,
A. B.: Resolving the integral connection between pedogenesis and landscape
evolution, Earth-Sci. Rev., 150, 102–120, 2015.
Minasny, B., Malone, B. P., McBratney, A. B., Angers, D. A., Arrouays, D.,
Chambers, A., Chaplot, V., Chen, Z.-S., Cheng, K., Das, B. S., Field, D. J.,
Gimona, A., Hedley, C. B., Hong, S. Y., Mandal, B., Marchant, B. P., Martin,
M., McConkey, B. G., Mulder, V. L., O'Rourke, S., Richer-de-Forges, A. C.,
Odeh, I., Padarian, J., Paustian, K., Pan, G., Poggio, L., Savin, I.,
Stolbovoy, V., Stockmann, U., Sulaeman, Y., Tsui, C.-C., Vågen, T.-G.,
Van Wesemael, B., and Winowiecki, L.: Soil carbon 4 per mille, Geoderma,
292, 59–86, 2017.
Montagne, D., Cornu, S., Le Forestier, L., Hardy, M., Josière, O.,
Caner, L., and Cousin, I.: Impact of drainage on soil-forming mechanisms in
a French Albeluvisol: Input of mineralogical data in mass-balance modelling,
Geoderma, 145, 426–438, 2008.
Montanarella, L., Pennock, D. J., McKenzie, N., Badraoui, M., Chude, V., Baptista, I., Mamo, T., Yemefack, M., Singh Aulakh, M., Yagi, K., Young Hong, S., Vijarnsorn, P., Zhang, G.-L., Arrouays, D., Black, H., Krasilnikov, P., Sobocká, J., Alegre, J., Henriquez, C. R., de Lourdes Mendonça-Santos, M., Taboada, M., Espinosa-Victoria, D., AlShankiti, A., AlaviPanah, S. K., Elsheikh, E. A. E. M., Hempel, J., Camps Arbestain, M., Nachtergaele, F., and Vargas, R.: World's soils are under threat, SOIL, 2, 79–82, https://doi.org/10.5194/soil-2-79-2016, 2016.
Morbidelli, R., Saltalippi, C., Flammini, A., and Govindaraju, R. S.: Role
of slope on infiltration: a review, J. Hydrol., 557, 878–886,
2018.
Muhs, D. R.: Loess deposits, origins and properties, in: Encyclopedia of
Quaternary Science, 1405–1418, 2007.
Nearing, M. A., Pruski, F. F., and O'Neal, M. R.: Expected climate change
impacts on soil erosion rates: A review, J. Soil Water
Conserv., 59, 43–50, 2004.
Opolot, E., Yu, Y. Y., and Finke, P. A.: Modeling soil genesis at pedon and
landscape scales: Achievements and problems, Quaternary Int., 376,
34–46, 2015.
Pawlik, Ł. and Šamonil, P.: Soil creep: The driving factors, evidence
and significance for biogeomorphic and pedogenic domains and systems – A
critical literature review, Earth-Sci. Rev., 178, 257–278, 2018.
Pebesma, E. J.: Multivariable geostatistics in S: the gstat package,
Comput. Geosci., 30, 683–691, 2004.
Pécsi, M.: Loess is not just the accumulation of dust, Quaternary
Int., 7/8, 1–21, 1990.
Peukert, S., Griffith, B. A., Murray, P. J., Macleod, C. J. A., and Brazier,
R. E.: Spatial variation in soil properties and diffuse losses between and
within grassland fields with similar short-term management, Europ. J. Soil Sci., 67, 386–396, 2016.
Phillips, J. D.: The convenient fiction of steady-state soil thickness,
Geoderma, 156, 389–398, 2010.
Phillips, J. D., Gares, P. A., and Slattery, M. C.: Agricultural soil
redistribution and landscape complexity, Landscape Ecol., 14, 197–211,
1999.
Phillips, J. D., Šamonil, P., Pawlik, Ł., Trochta, J., and Daněk, P.: Domination of hillslope denudation by tree uprooting in an old-growth
forest, Geomorphology, 276, 27–36, 2017.
Pistocchi, A., Bouraoui, F., and Bittelli, M.: A simplified parameterization
of the monthly topsoil water budget, Water Resour. Res., 44, https://doi.org/10.1029/2007WR006603, 2008.
Poesen, J.: Challenges in gully erosion research, Landform Analysis, 17,
5–9, 2011.
Pongratz, J., Reick, C., Raddatz, T., and Claussen, M.: A reconstruction of
global agricultural areas and land cover for the last millennium, Global
Biogeochem. Cy., 22, https://doi.org/10.1029/2007GB003153, 2008.
Ramcharan, A., Hengl, T., Beaudette, D., and Wills, S.: A Soil Bulk Density
Pedotransfer Function Based on Machine Learning: A Case Study with the NCSS
Soil Characterization Database, Soil Sci. Soc. Am. J., 81,
1279–1287, 2017.
Regmi, N. R., McDonald, E. V., and Rasmussen, C.: Hillslope response under
variable microclimate, Earth Surf. Proc. Land., 44, 2615–2627, https://doi.org/10.1002/esp.4686, 2019.
Richter, D. d., Bacon, A. R., Brecheisen, Z., and Mobley, M. L.: Soil in the
Anthropocene, 25, 2015.
Roering, J. J., Almond, P., Tonkin, P., and McKean, J.: Soil transport
driven by biological processes over millennial time scales, Geology, 30,
1115–1118, 2002.
Román-Sánchez, A., Laguna, A., Reimann, T., Giraldez, J., Peña,
A., and Vanwalleghem, T.: Bioturbation and erosion rates along the
soil-hillslope conveyor belt, Part 2: quantification using an analytical
solution of the diffusion-advection equation, Earth Surf. Proc.
Land., 44, 2066–2080, https://doi.org/10.1002/esp.4626,2019.
Rozas, V.: Tree age estimates in Fagus sylvatica and Quercus robur: testing
previous and improved methods, Plant Ecol., 167, 193–212, 2003.
Saco, P. M., Willgoose, G. R., and Hancock, G. R.: Spatial organization of
soil depths using a landform evolution model, J. Geophys.
Res.-Earth, 111, F02016,
https://doi.org/10.1029/2005JF000351, 2006.
Šamonil, P., Daněk, P., Schaetzl, R., Vašíčková,
I., and Valtera, M.: Soil mixing and genesis as affected by tree uprooting
in three temperate forests, Europ. J. Soil Sci., 66, 589–603,
2015.
Šamonil, P., Daněk, P., Schaetzl, R. J., Tejnecký, V., and
Drábek, O.: Converse pathways of soil evolution caused by tree
uprooting: A synthesis from three regions with varying soil formation
processes, CATENA, 161, 122–136, 2018.
Sauer, D.: Pedological concepts to be considered in soil chronosequence
studies, Soil Res., 53, 577–591, 2015.
Schoorl, J. M., Veldkamp, A., and Bouma, J.: Modeling Water and Soil
Redistribution in a Dynamic Landscape Context, Soil Sci. Soc.
Am. J., 66, 1610–1619, 2002.
Schuur, E. A. G., McGuire, A. D., Schädel, C., Grosse, G., Harden, J.
W., Hayes, D. J., Hugelius, G., Koven, C. D., Kuhry, P., and Lawrence, D.
M.: Climate change and the permafrost carbon feedback, Nature, 520, 171–179,
2015.
Shepard, C., Schaap, M. G., Pelletier, J. D., and Rasmussen, C.: A probabilistic approach to quantifying soil physical properties via time-integrated energy and mass input, SOIL, 3, 67–82, https://doi.org/10.5194/soil-3-67-2017, 2017.
Shouse, M. and Phillips, J. D.: Soil deepening by trees and the effects of
parent material, Geomorphology, 269, 1–7, 2016.
Smetanová, A.: Bright patches on Chernozems and their relationship to
relief, Geografický Časopis, 61, 215–227, 2009.
Snowden, T. J., Van der Graaf, P. H., and Tindall, M. J.: Methods of Model
Reduction for Large-Scale Biological Systems: A Survey of Current Methods
and Trends, B. Math. Biol., 79, 1449–1486, 2017.
Sommer, M., Gerke, H. H., and Deumlich, D.: Modelling soil landscape genesis
– A “time split” approach for hummocky agricultural landscapes,
Geoderma, 145, 480–493, 2008.
Stockmann, U., Salvador-Blanes, S., Vanwalleghem, T., Minasny, B., and
McBratney, A. B.: One-, Two- and Three-Dimensional Pedogenetic Models, in:
Pedometrics, Edited by: McBratney, A. B., Minasny, B., and Stockmann, U.,
Springer International Publishing, Cham, 555–593, 2018.
Swanson, F. J. and Swanston, D. N.: Complex mass-movement terrains in the
western Cascade Range, Oregon, in: Reviews in Engineering Geology, edited
by: Coates, D. R., Geol. Soc. Am., 113–124, 1977.
Swift Jr., L. W.: Algorithm for solar radiation on mountain slopes, Water
Resour. Res., 12, 108–112, 1976.
Temme, A. J. A. M.: The Uncalm Development of Proglacial Soils in the
European Alps Since 1850, in: Geomorphology of Proglacial Systems: Landform
and Sediment Dynamics in Recently Deglaciated Alpine Landscapes,
Springer International Publishing, Cham, 315–326, 2019.
Temme, A. J. A. M. and Lange, K.: Pro-glacial soil variability and
geomorphic activity – the case of three Swiss valleys, Earth Surf.
Proc. Land., 39, 1492–1499, 2014.
Temme, A. J. A. M. and Vanwalleghem, T.: LORICA – A new model for linking
landscape and soil profile evolution: development and sensitivity analysis,
Comput. Geosci., 90, 131–143, 2016.
Temme, A. J. A. M., Claessens, L., Veldkamp, A., and Schoorl, J. M.:
Evaluating choices in multi-process landscape evolution models,
Geomorphology, 125, 271–281, 2011.
Temme, A. J. A. M., Armitage, J., Attal, M., Van Gorp, W., Coulthard, T. J.,
and Schoorl, J. M.: Developing, choosing and using landscape evolution
models to inform field-based landscape reconstruction studies, Earth Surf.
Proc. Land., 42, 2167–2183, 2017.
Thompson, S. E., Harman, C. J., Heine, P., and Katul, G. G.:
Vegetation-infiltration relationships across climatic and soil type
gradients, J. Geophys. Res.-Biogeo., 115, G02023,
https://doi.org/10.1029/2009JG001134, 2010.
Tranter, G., Minasny, B., McBratney, A. B., Murphy, B., McKenzie, N. J.,
Grundy, M., and Brough, D.: Building and testing conceptual and empirical
models for predicting soil bulk density, Soil Use Manage., 23,
437–443, 2007.
Tscharntke, T., Clough, Y., Wanger, T. C., Jackson, L., Motzke, I.,
Perfecto, I., Vandermeer, J., and Whitbread, A.: Global food security,
biodiversity conservation and the future of agricultural intensification,
Biol. Conserv., 151, 53–59, 2012.
Van der Meij, W. M., Temme, A. J. A. M., Wallinga, J., Hierold, W., and
Sommer, M.: Topography reconstruction of eroding landscapes – A case study
from a hummocky ground moraine (CarboZALF-D), Geomorphology, 295, 758–772,
2017.
Van der Meij, W. M., Temme, A. J. A. M., Lin, H. S., Gerke, H. H., and
Sommer, M.: On the role of hydrologic processes in soil and landscape
evolution modeling: concepts, complications and partial solutions,
Earth-Sci. Rev., 185, 1088–1106, 2018.
Van der Meij, W. M., Reimann, T., Vornehm, V. K., Temme, A. J. A. M.,
Wallinga, J., Van Beek, R., and Sommer, M.: Reconstructing rates and
patterns of colluvial soil redistribution in agrarian (hummocky) landscapes,
Earth Surf. Proc. Land., 44, 2408–2422, https://doi.org/10.1002/esp.4671, 2019.
Van Oost, K., Van Muysen, W., Govers, G., Deckers, J., and Quine, T. A.:
From water to tillage erosion dominated landform evolution, Geomorphology,
72, 193–203, 2005.
Van Oost, K., Quine, T. A., Govers, G., De Gryze, S., Six, J., Harden, J.
W., Ritchie, J. C., McCarty, G. W., Heckrath, G., and Kosmas, C.: The impact
of agricultural soil erosion on the global carbon cycle, Science, 318,
626–629, 2007.
Vanwalleghem, T., Poesen, J., McBratney, A., and Deckers, J.: Spatial
variability of soil horizon depth in natural loess-derived soils, Geoderma,
157, 37–45, 2010.
Vanwalleghem, T., Stockmann, U., Minasny, B., and McBratney, A. B.: A
quantitative model for integrating landscape evolution and soil formation,
J. Geophys. Res.-Earth, 118, 331–347, 2013.
Vanwalleghem, T., Gómez, J. A., Infante Amate, J., González de
Molina, M., Vanderlinden, K., Guzmán, G., Laguna, A., and Giráldez,
J. V.: Impact of historical land use and soil management change on soil
erosion and agricultural sustainability during the Anthropocene,
Anthropocene, 17, 13–29, 2017.
Vereecken, H., Schnepf, A., Hopmans, J., Javaux, M., Or, D., Roose, T.,
Vanderborght, J., Young, M., Amelung, W., and Aitkenhead, M.: Modeling soil
processes: Review, key challenges, and new perspectives, Vadose Zone
J., 15, 1–57, 2016.
Wang, Z., Hoffmann, T., Six, J., Kaplan, J. O., Govers, G., Doetterl, S.,
and Van Oost, K.: Human-induced erosion has offset one-third of carbon
emissions from land cover change, Nat. Clim. Change, 7, 345–349, 2017.
West, N., Kirby, E., Bierman, P., Slingerland, R., Ma, L., Rood, D., and
Brantley, S.: Regolith production and transport at the Susquehanna Shale
Hills Critical Zone Observatory, Part 2: insights from meteoric 10Be,
J. Geophys. Res.-Earth, 118, 1877–1896, 2013.
Wiesmeier, M., Spörlein, P., Geuß, U., Hangen, E., Haug, S.,
Reischl, A., Schilling, B., von Lützow, M., and Kögel-Knabner, I.:
Soil organic carbon stocks in southeast Germany (Bavaria) as affected by
land use, soil type and sampling depth, Glob. Change Biol., 18,
2233–2245, 2012.
Wilkinson, B. H.: Humans as geologic agents: A deep-time perspective,
Geology, 33, 161–164, 2005.
Willgoose, G.: Principles of Soilscape and Landscape Evolution, University
Press, Cambridge, 334 pp., 2018.
Wolff, E.: Entwurf zur Bodenanalyse, Z. Anal. Chem.,
3, 85–115, 1864.
Wösten, J. H. M., Pachepsky, Y. A., and Rawls, W. J.: Pedotransfer
functions: bridging the gap between available basic soil data and missing
soil hydraulic characteristics, J. Hydrol., 251, 123–150, 2001.
Yemefack, M., Rossiter, D. G., and Njomgang, R.: Multi-scale
characterization of soil variability within an agricultural landscape mosaic
system in southern Cameroon, Geoderma, 125, 117–143, 2005.
Yoo, K., Amundson, R., Heimsath, A. M., and Dietrich, W. E.: Spatial
patterns of soil organic carbon on hillslopes: Integrating geomorphic
processes and the biological C cycle, Geoderma, 130, 47–65, 2006.
Yoo, K., Ji, J., Aufdenkampe, A., and Klaminder, J.: Rates of soil mixing
and associated carbon fluxes in a forest versus tilled agricultural field:
Implications for modeling the soil carbon cycle, J. Geophys.
Res.-Biogeo., 116, G01014,
https://doi.org/10.1029/2010JG001304, 2011.
Zádorová, T. and Pení žek, V.: Formation, morphology and
classification of colluvial soils: a review, Europ. J. Soil
Sci., 69, 577–591, 2018.
Zhao, G., Mu, X., Wen, Z., Wang, F., and Gao, P.: Soil erosion,
conservation, and eco-environment changes in the loess plateau of China,
Land. Degrad. Dev., 24, 499–510, 2013.
Download
The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.
- Article
(3871 KB) - Full-text XML
- Corrigendum
- Companion paper
-
Supplement
(6332 KB) - BibTeX
- EndNote
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...