Articles | Volume 2, issue 2
https://doi.org/10.5194/soil-2-221-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/soil-2-221-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Original research article
| 
07 Jun 2016
Original research article |
| 07 Jun 2016
Arctic soil development on a series of marine terraces on central Spitsbergen, Svalbard: a combined geochronology, fieldwork and modelling approach
W. Marijn van der Meij
CORRESPONDING AUTHOR
Leibniz Centre for Agricultural Landscape Research (ZALF) e.V., Institute of Soil Landscape Research, Eberswalder Straße 84, 15374 Müncheberg, Germany
Soil Geography and Landscape group, Wageningen University, P.O. Box 47, Wageningen, the Netherlands
Arnaud J. A. M. Temme
Soil Geography and Landscape group, Wageningen University, P.O. Box 47, Wageningen, the Netherlands
Institute for Alpine and Arctic Research (INSTAAR), University of Colorado, Boulder, Colorado, USA
Christian M. F. J. J. de Kleijn
Soil Geography and Landscape group, Wageningen University, P.O. Box 47, Wageningen, the Netherlands
Tony Reimann
Soil Geography and Landscape group, Wageningen University, P.O. Box 47, Wageningen, the Netherlands
Gerard B. M. Heuvelink
Soil Geography and Landscape group, Wageningen University, P.O. Box 47, Wageningen, the Netherlands
Zbigniew Zwoliński
Institute of Geoecology and Geoinformation, Adam Mickiewicz University, Poznań, Poland
Grzegorz Rachlewicz
Institute of Geoecology and Geoinformation, Adam Mickiewicz University, Poznań, Poland
Krzysztof Rymer
Institute of Geoecology and Geoinformation, Adam Mickiewicz University, Poznań, Poland
Michael Sommer
Leibniz Centre for Agricultural Landscape Research (ZALF) e.V., Institute of Soil Landscape Research, Eberswalder Straße 84, 15374 Müncheberg, Germany
Institute of Earth and Environmental Sciences, University of Potsdam, 14476 Potsdam, Germany
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W. Marijn van der Meij, Svenja Riedesel, and Tony Reimann
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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.
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EGUsphere, https://doi.org/10.5194/egusphere-2024-1036, https://doi.org/10.5194/egusphere-2024-1036, 2024
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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
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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.
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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.
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SOIL, 6, 337–358, https://doi.org/10.5194/soil-6-337-2020, https://doi.org/10.5194/soil-6-337-2020, 2020
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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.
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SOIL, 10, 567–586, https://doi.org/10.5194/soil-10-567-2024, https://doi.org/10.5194/soil-10-567-2024, 2024
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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.
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Earth Syst. Sci. Data, 16, 2941–2970, https://doi.org/10.5194/essd-16-2941-2024, https://doi.org/10.5194/essd-16-2941-2024, 2024
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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
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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
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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.
Anna-Maartje de Boer, Wolfgang Schwanghart, Jürgen Mey, Basanta Raj Adhikari, and Tony Reimann
Geochronology, 6, 53–70, https://doi.org/10.5194/gchron-6-53-2024, https://doi.org/10.5194/gchron-6-53-2024, 2024
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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
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Geochronology, 5, 241–261, https://doi.org/10.5194/gchron-5-241-2023, https://doi.org/10.5194/gchron-5-241-2023, 2023
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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.
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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
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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.
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Jairo Arturo Torres-Matallana, Ulrich Leopold, and Gerard B. M. Heuvelink
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Moritz Nykamp, Jacob Hardt, Philipp Hoelzmann, Jens May, and Tony Reimann
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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
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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
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W. Marijn van der Meij, Arnaud J. A. M. Temme, Jakob Wallinga, and Michael Sommer
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Jannis Groh, Jan Vanderborght, Thomas Pütz, Hans-Jörg Vogel, Ralf Gründling, Holger Rupp, Mehdi Rahmati, Michael Sommer, Harry Vereecken, and Horst H. Gerke
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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
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Christopher Lüthgens, Daniela Sauer, Michael Zech, Becky Briant, Eleanor Brown, Elisabeth Dietze, Markus Fuchs, Nicole Klasen, Sven Lukas, Jan-Hendrik May, Julia Meister, Tony Reimann, Gilles Rixhon, Zsófia Ruszkiczay-Rüdiger, Bernhard Salcher, Tobias Sprafke, Ingmar Unkel, Hans von Suchodoletz, and Christian Zeeden
E&G Quaternary Sci. J., 68, 243–244, https://doi.org/10.5194/egqsj-68-243-2020, https://doi.org/10.5194/egqsj-68-243-2020, 2020
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
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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
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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
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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
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Manoranjan Muthusamy, Alma Schellart, Simon Tait, and Gerard B. M. Heuvelink
Hydrol. Earth Syst. Sci., 21, 1077–1091, https://doi.org/10.5194/hess-21-1077-2017, https://doi.org/10.5194/hess-21-1077-2017, 2017
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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
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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.
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
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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
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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
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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.
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
D. R. Cameron, M. Van Oijen, C. Werner, K. Butterbach-Bahl, R. Grote, E. Haas, G. B. M. Heuvelink, R. Kiese, J. Kros, M. Kuhnert, A. Leip, G. J. Reinds, H. I. Reuter, M. J. Schelhaas, W. De Vries, and J. Yeluripati
Biogeosciences, 10, 1751–1773, https://doi.org/10.5194/bg-10-1751-2013, https://doi.org/10.5194/bg-10-1751-2013, 2013
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SOIL, 10, 763–778, https://doi.org/10.5194/soil-10-763-2024, https://doi.org/10.5194/soil-10-763-2024, 2024
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Jeffrey S. Munroe, Abigail A. Santis, Elsa J. Soderstrom, Michael J. Tappa, and Ann M. Bauer
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This study investigated how the deposition of mineral dust delivered by the wind influences soil development in mountain environments. At six mountain locations in the southwestern United States, modern dust was collected along with samples of soil and local bedrock. Analysis indicates that at all sites the properties of dust and soil are very similar and are very different from underlying rock. This result indicates that soils are predominantly composed of dust delivered by the wind over time.
Hans-Jörg Vogel, Bibiana Betancur-Corredor, Leonard Franke, Sara König, Birgit Lang, Maik Lucas, Eva Rabot, Bastian Stößel, Ulrich Weller, Martin Wiesmeier, and Ute Wollschläger
SOIL, 9, 533–543, https://doi.org/10.5194/soil-9-533-2023, https://doi.org/10.5194/soil-9-533-2023, 2023
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Our paper presents a new web-based software tool to support soil process research. It is designed to categorize publications in this field according to site and soil characteristics, as well as experimental conditions, which is of critical importance for the interpretation of the research results. The software tool is provided open access for the soil science community such that anyone can contribute to improve the contents of the literature data base.
Gabriel Nuto Nóbrega, Xosé L. Otero, Danilo Jefferson Romero, Hermano Melo Queiroz, Daniel Gorman, Margareth da Silva Copertino, Marisa de Cássia Piccolo, and Tiago Osório Ferreira
SOIL, 9, 189–208, https://doi.org/10.5194/soil-9-189-2023, https://doi.org/10.5194/soil-9-189-2023, 2023
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The present study addresses the soil information gap in tropical seagrass meadows. The different geological and bioclimatic settings caused a relevant soil diversity. Contrasting geochemical conditions promote different intensities of soil processes. Seagrass soils from the northeastern semiarid coast are marked by a more intense sulfidization. Understanding soil processes may help in the sustainable management of seagrasses.
Nicolás Riveras-Muñoz, Steffen Seitz, Kristina Witzgall, Victoria Rodríguez, Peter Kühn, Carsten W. Mueller, Rómulo Oses, Oscar Seguel, Dirk Wagner, and Thomas Scholten
SOIL, 8, 717–731, https://doi.org/10.5194/soil-8-717-2022, https://doi.org/10.5194/soil-8-717-2022, 2022
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Biological soil crusts (biocrusts) stabilize the soil surface mainly in arid regions but are also present in Mediterranean and humid climates. We studied this stabilizing effect through wet and dry sieving along a large climatic gradient in Chile and found that the stabilization of soil aggregates persists in all climates, but their role is masked and reserved for a limited number of size fractions under humid conditions by higher vegetation and organic matter contents in the topsoil.
Malte Ortner, Michael Seidel, Sebastian Semella, Thomas Udelhoven, Michael Vohland, and Sören Thiele-Bruhn
SOIL, 8, 113–131, https://doi.org/10.5194/soil-8-113-2022, https://doi.org/10.5194/soil-8-113-2022, 2022
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Soil organic carbon (SOC) and its labile fractions are influenced by soil use and mineral properties. These parameters interact with each other and affect SOC differently depending on local conditions. To investigate the latter, the dependence of SOC content on parameters that vary on a local scale depending on parent material, soil texture, and land use as well as parameter combinations was statistically assessed. Relevance and superiority of local models compared to total models were shown.
Désiré Tsozué, Nérine Mabelle Moudjie Noubissie, Estelle Lionelle Tamto Mamdem, Simon Djakba Basga, and Dieudonne Lucien Bitom Oyono
SOIL, 7, 677–691, https://doi.org/10.5194/soil-7-677-2021, https://doi.org/10.5194/soil-7-677-2021, 2021
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Studies on soil organic carbon stock (SOCS) in the Sudano-Sahelian part of Cameroon are very rare. Organic C storage decreases with increasing latitude and more than 60 % of the SOCS is stored below the first 25 cm depth. In addition, a good correlation is noted between precipitation which decreases with increasing latitude and the total SOCS, indicating the importance of climate in the distribution of the total SOCS in the study area, which directly influence the productivity of the vegetation.
Capucine Baubin, Arielle M. Farrell, Adam Št'ovíček, Lusine Ghazaryan, Itamar Giladi, and Osnat Gillor
SOIL, 7, 611–637, https://doi.org/10.5194/soil-7-611-2021, https://doi.org/10.5194/soil-7-611-2021, 2021
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In this paper, we describe changes in desert soil bacterial diversity and function when two ecosystem engineers, shrubs and ant nests, in an arid environment are present. The results show that bacterial activity increases when there are ecosystem engineers and that their impact is non-additive. This is one of a handful of studies that investigated the separate and combined effects of ecosystem engineers on soil bacterial communities investigating both composition and function.
Laura Poggio, Luis M. de Sousa, Niels H. Batjes, Gerard B. M. Heuvelink, Bas Kempen, Eloi Ribeiro, and David Rossiter
SOIL, 7, 217–240, https://doi.org/10.5194/soil-7-217-2021, https://doi.org/10.5194/soil-7-217-2021, 2021
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This paper focuses on the production of global maps of soil properties with quantified spatial uncertainty, as implemented in the SoilGrids version 2.0 product using DSM practices and adapting them for global digital soil mapping with legacy data. The quantitative evaluation showed metrics in line with previous studies. The qualitative evaluation showed that coarse-scale patterns are well reproduced. The spatial uncertainty at global scale highlighted the need for more soil observations.
Sanjeewani Nimalka Somarathna Pallegedara Dewage, Budiman Minasny, and Brendan Malone
SOIL, 6, 359–369, https://doi.org/10.5194/soil-6-359-2020, https://doi.org/10.5194/soil-6-359-2020, 2020
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Most soil management activities are implemented at farm scale, yet digital soil maps are commonly available at regional/national scales. This study proposes Bayesian area-to-point kriging to downscale regional-/national-scale soil property maps to farm scale. A regional soil carbon map with a resolution of 100 m (block support) was disaggregated to 10 m (point support) information for a farm in northern NSW, Australia. Results are presented with the uncertainty of the downscaling process.
Boris Jansen and Guido L. B. Wiesenberg
SOIL, 3, 211–234, https://doi.org/10.5194/soil-3-211-2017, https://doi.org/10.5194/soil-3-211-2017, 2017
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The application of lipids in soils as molecular proxies, also often referred to as biomarkers, has dramatically increased in the last decades. Applications range from inferring changes in past vegetation composition to unraveling the turnover of soil organic matter. However, the application of soil lipids as molecular proxies comes with several constraining factors. Here we provide a critical review of the current state of knowledge on the applicability of molecular proxies in soil science.
Marleen de Blécourt, Marife D. Corre, Ekananda Paudel, Rhett D. Harrison, Rainer Brumme, and Edzo Veldkamp
SOIL, 3, 123–137, https://doi.org/10.5194/soil-3-123-2017, https://doi.org/10.5194/soil-3-123-2017, 2017
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We examined the spatial variability in SOC in a 10 000 ha landscape in SW China. The spatial variability in SOC was largest at the plot scale (1 ha) and the associations between SOC and land use, soil properties, vegetation, and topographical attributes varied across plot to landscape scales. Our results show that sampling designs must consider the controlling factors at the scale of interest in order to elucidate their effects on SOC against the variability within and between plots.
Christopher Shepard, Marcel G. Schaap, Jon D. Pelletier, and Craig Rasmussen
SOIL, 3, 67–82, https://doi.org/10.5194/soil-3-67-2017, https://doi.org/10.5194/soil-3-67-2017, 2017
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Here we demonstrate the use of a probabilistic approach for quantifying soil physical properties and variability using time and environmental input. We applied this approach to a synthesis of soil chronosequences, i.e., soils that change with time. The model effectively predicted clay content across the soil chronosequences and for soils in complex terrain using soil depth as a proxy for hill slope. This model represents the first attempt to model soils from a probabilistic viewpoint.
Z. Kardanpour, O. S. Jacobsen, and K. H. Esbensen
SOIL, 1, 695–705, https://doi.org/10.5194/soil-1-695-2015, https://doi.org/10.5194/soil-1-695-2015, 2015
J. Madruga, E. B. Azevedo, J. F. Sampaio, F. Fernandes, F. Reis, and J. Pinheiro
SOIL, 1, 515–526, https://doi.org/10.5194/soil-1-515-2015, https://doi.org/10.5194/soil-1-515-2015, 2015
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Vineyards in the Azores have been traditionally settled on lava field terroirs whose workability and trafficability limitations make them presently unsustainable.
A landscape zoning approach based on a GIS analysis, incorporating factors of climate and topography combined with the soil mapping units suitable for viticulture was developed in order to define the most representative land units, providing an overall perspective of the potential for expansion of viticulture in the Azores.
E. C. Brevik, A. Cerdà, J. Mataix-Solera, L. Pereg, J. N. Quinton, J. Six, and K. Van Oost
SOIL, 1, 117–129, https://doi.org/10.5194/soil-1-117-2015, https://doi.org/10.5194/soil-1-117-2015, 2015
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This paper provides a brief accounting of some of the many ways that the study of soils can be interdisciplinary, therefore giving examples of the types of papers we hope to see submitted to SOIL.
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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.
This study combined fieldwork, geochronology and modelling to get a better understanding of...
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