Articles | Volume 7, issue 1
https://doi.org/10.5194/soil-7-217-2021
© Author(s) 2021. 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-7-217-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Original research article
| Highlight paper
| 
14 Jun 2021
Original research article | Highlight paper |
| 14 Jun 2021
| 14 Jun 2021
SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty
ISRIC – World Soil Information, Wageningen, the Netherlands
Luis M. de Sousa
ISRIC – World Soil Information, Wageningen, the Netherlands
Niels H. Batjes
ISRIC – World Soil Information, Wageningen, the Netherlands
Gerard B. M. Heuvelink
ISRIC – World Soil Information, Wageningen, the Netherlands
Bas Kempen
ISRIC – World Soil Information, Wageningen, the Netherlands
Eloi Ribeiro
ISRIC – World Soil Information, Wageningen, the Netherlands
David Rossiter
ISRIC – World Soil Information, Wageningen, the Netherlands
Related authors
David G. Rossiter and Laura Poggio
EGUsphere, https://doi.org/10.5194/egusphere-2025-1896, https://doi.org/10.5194/egusphere-2025-1896, 2025
Short summary
Short summary
Soil maps are useful for many applications, e.g., hydrology, agriculture, ecology, and civil engineering. The dominant mapping method is Digital Soil Mapping (DSM), which uses training observations and machine-learning to predict per-pixel. Accuracy is assessed by statistical evaluation at known points, but soils occur in spatial patterns. We present methods for letting the map "speak for itself" to reveal the pattern of the soil landscape, which can be evaluated by expert judgement.
David G. Rossiter, Laura Poggio, Dylan Beaudette, and Zamir Libohova
SOIL, 8, 559–586, https://doi.org/10.5194/soil-8-559-2022, https://doi.org/10.5194/soil-8-559-2022, 2022
Short summary
Short summary
Maps of soil properties made by machine learning techniques are increasingly applied in Earth surface process modelling and agronomy. Maps of the same area made by different methods appear quite different and also differ from field-based polygon soil survey maps. We explore these differences both visually and numerically, using methods that quantify the spatial patterns. Readers can apply the methods to their areas of interest in the USA with the supplied R Markdown scripts.
Lei Zhang, Lin Yang, Thomas W. Crowther, Constantin M. Zohner, Sebastian Doetterl, Gerard B. M. Heuvelink, Alexandre M. J.-C. Wadoux, A.-Xing Zhu, Yue Pu, Feixue Shen, Haozhi Ma, Yibiao Zou, and Chenghu Zhou
Earth Syst. Sci. Data, 17, 2605–2623, https://doi.org/10.5194/essd-17-2605-2025, https://doi.org/10.5194/essd-17-2605-2025, 2025
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Current understandings of depth-dependent variations and controls of soil organic carbon turnover time (τ) at global, biome, and local scales remain incomplete. We used the state-of-the-art soil and root profile databases and satellite observations to generate new spatially explicit global maps of topsoil and subsoil τ, with quantified uncertainties for better user applications. The new insights from the resulting maps will facilitate efforts to model the carbon cycle and will support effective carbon management.
David G. Rossiter and Laura Poggio
EGUsphere, https://doi.org/10.5194/egusphere-2025-1896, https://doi.org/10.5194/egusphere-2025-1896, 2025
Short summary
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Soil maps are useful for many applications, e.g., hydrology, agriculture, ecology, and civil engineering. The dominant mapping method is Digital Soil Mapping (DSM), which uses training observations and machine-learning to predict per-pixel. Accuracy is assessed by statistical evaluation at known points, but soils occur in spatial patterns. We present methods for letting the map "speak for itself" to reveal the pattern of the soil landscape, which can be evaluated by expert judgement.
Niels H. Batjes, Luis Calisto, and Luis M. de Sousa
Earth Syst. Sci. Data, 16, 4735–4765, https://doi.org/10.5194/essd-16-4735-2024, https://doi.org/10.5194/essd-16-4735-2024, 2024
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Soils are an important provider of ecosystem services. This dataset provides quality-assessed and standardised soil data to support digital soil mapping and environmental applications at a broad scale. The underpinning soil profiles were shared by a wide range of data providers. Special attention was paid to the standardisation of soil property definitions, analytical method descriptions and property values. We present three measures to assess "fitness for intended use" of the standardised data.
Anatol Helfenstein, Vera L. Mulder, Mirjam J. D. Hack-ten Broeke, Maarten van Doorn, Kees Teuling, Dennis J. J. Walvoort, and Gerard B. M. Heuvelink
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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Earth system models and decision support systems greatly benefit from high-resolution soil information with quantified accuracy. Here we introduce BIS-4D, a statistical modeling platform that predicts nine essential soil properties and their uncertainties at 25 m resolution in surface 2 m across the Netherlands. Using machine learning informed by up to 856 000 soil observations coupled with 366 spatially explicit environmental variables, prediction accuracy was the highest for clay, sand and pH.
Luís Moreira de Sousa, Rául Palma, Bogusz Janiak, and Paul van Genuchten
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W12-2024, 29–34, https://doi.org/10.5194/isprs-archives-XLVIII-4-W12-2024-29-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-W12-2024-29-2024, 2024
David G. Rossiter, Laura Poggio, Dylan Beaudette, and Zamir Libohova
SOIL, 8, 559–586, https://doi.org/10.5194/soil-8-559-2022, https://doi.org/10.5194/soil-8-559-2022, 2022
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Short summary
Maps of soil properties made by machine learning techniques are increasingly applied in Earth surface process modelling and agronomy. Maps of the same area made by different methods appear quite different and also differ from field-based polygon soil survey maps. We explore these differences both visually and numerically, using methods that quantify the spatial patterns. Readers can apply the methods to their areas of interest in the USA with the supplied R Markdown scripts.
Jairo Arturo Torres-Matallana, Ulrich Leopold, and Gerard B. M. Heuvelink
Hydrol. Earth Syst. Sci., 25, 193–216, https://doi.org/10.5194/hess-25-193-2021, https://doi.org/10.5194/hess-25-193-2021, 2021
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This study aimed to select and characterise the main sources of input uncertainty in urban sewer systems, while accounting for temporal correlations of uncertain model inputs, by propagating input uncertainty through the model. We discuss the water quality impact of the model outputs to the environment, specifically in combined sewer systems, in relation to the uncertainty analysis, which constitutes valuable information for the environmental authorities and decision-makers.
Niels H. Batjes, Eloi Ribeiro, and Ad van Oostrum
Earth Syst. Sci. Data, 12, 299–320, https://doi.org/10.5194/essd-12-299-2020, https://doi.org/10.5194/essd-12-299-2020, 2020
Short summary
Short summary
This dataset provides quality-assessed and standardised soil data to support digital soil mapping and environmental applications at broadscale levels. The underpinning soil profiles were shared by a wide range of data providers. Special attention was paid to the standardisation of soil property definitions, analytical method descriptions and property values. We present measures for geographic accuracy and a first approximation for the uncertainty associated with the various analytical methods.
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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In this study we develop a method to estimate the spatially averaged rainfall intensity together with associated level of uncertainty using geostatistical upscaling. Rainfall data collected from a cluster of eight paired rain gauges in a small urban catchment are used in this study. Results show that the prediction uncertainty comes mainly from two sources: spatial variability of rainfall and measurement error. Results from this study can be used for uncertainty analyses of hydrologic modelling.
Niels H. Batjes, Eloi Ribeiro, Ad van Oostrum, Johan Leenaars, Tom Hengl, and Jorge Mendes de Jesus
Earth Syst. Sci. Data, 9, 1–14, https://doi.org/10.5194/essd-9-1-2017, https://doi.org/10.5194/essd-9-1-2017, 2017
Short summary
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Soil is an important provider of ecosystem services. Yet this natural resource is being threatened. Professionals, scientists, and decision makers require quality-assessed soil data to address issues such as food security, land degradation, and climate change. Procedures for safeguarding, standardising, and subsequently serving of consistent soil data to underpin broad-scale mapping and modelling are described. The data are freely accessible at doi:10.17027/isric-wdcsoils.20160003.
Jáchym Čepický and Luís Moreira de Sousa
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 927–930, https://doi.org/10.5194/isprs-archives-XLI-B7-927-2016, https://doi.org/10.5194/isprs-archives-XLI-B7-927-2016, 2016
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
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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.
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
Related subject area
Soils and natural ecosystems
Advancing studies on global biocrust distribution
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The role of ecosystem engineers in shaping the diversity and function of arid soil bacterial communities
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Opportunities and limitations related to the application of plant-derived lipid molecular proxies in soil science
Spatial variability in soil organic carbon in a tropical montane landscape: associations between soil organic carbon and land use, soil properties, vegetation, and topography vary across plot to landscape scales
A probabilistic approach to quantifying soil physical properties via time-integrated energy and mass input
Arctic soil development on a series of marine terraces on central Spitsbergen, Svalbard: a combined geochronology, fieldwork and modelling approach
Local versus field scale soil heterogeneity characterization – a challenge for representative sampling in pollution studies
Analysis and definition of potential new areas for viticulture in the Azores (Portugal)
The interdisciplinary nature of SOIL
Siqing Wang, Li Ma, Liping Yang, Yali Ma, Yafeng Zhang, Changming Zhao, and Ning Chen
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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Biological soil crusts cover a substantial proportion of dryland ecosystems and play crucial roles in ecological processes. Consequently, studying the spatial distribution of biocrusts holds great significance. This study aimed to stimulate global-scale investigations of biocrust distribution by introducing three major approaches. Then, we summarized present understandings of biocrust distribution. Finally, we proposed several potential research topics.
Jeffrey S. Munroe, Abigail A. Santis, Elsa J. Soderstrom, Michael J. Tappa, and Ann M. Bauer
SOIL, 10, 167–187, https://doi.org/10.5194/soil-10-167-2024, https://doi.org/10.5194/soil-10-167-2024, 2024
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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.
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.
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.
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 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.
This paper focuses on the production of global maps of soil properties with quantified spatial...
