Abstract
GlobalSoilMap is an initiative of the Digital Soil Mapping Working Groups of the International Union of Soil Sciences (IUSS, digitalsoilmapping.org. Available at http://digitalsoilmapping.org/. Accessed 22 Oct 2015). It aims to meet the needs of the modelling community, farmers, land managers, policy developers and decision-makers, by creating a fine resolution (100 × 100 m grid) quantitative digital soil map of the world, using state-of-the-art and emerging technologies such as remote sensing, data mining and spatial databases. The data will be stored in a freely available distributed system with a set of standards for Web services. The approach has three components: digital soil mapping, recommendations for soil management and providing service to end users (Sanchez et al. Science 325, 2009). The project originated in 2006 as an effort to address the unmet need for quantitative answers to questions about soil-related issues such as soil carbon sequestration, the impact of soil carbon on biomass production and the change in soil status over time. To address such questions requires information about stores and fluxes of water, carbon, nutrients and solutes, in other words, functional properties of soils. The most significant stocks and flows are water including run-off, leaching, waterlogging and water available to plants, nutrients, carbon, solutes and acidification. Access to information about soil properties reduces risks in decision-making, but in order to understand and manage these risks, estimates of uncertainties in soil properties are required. Therefore, all quantitative data in the GlobalSoilMap will have an associated uncertainty. The project is facilitated by the synthesis of pedology, which focuses on soil processes, and pedometrics, which focuses on quantitative analyses.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Arrouays D et al (2014a) GlobalSoilMap: basis of the global spatial soil information system. Taylor and Francis, Balkema
Arrouays D et al (2014b) Chapter three – GlobalSoilMap: toward a fine-resolution global grid of soil properties. In: Sparks DL (ed) Advances in agronomy. Academic Press, New York, pp 93–134. Available at: http://www.sciencedirect.com/science/article/pii/B9780128001370000030. Accessed 17 Sept 2015
Bishop TFA, McBratney AB, Laslett GM (1999) Modeling soil attribute depth functions with equal-area quadratic smoothing splines. Geoderma 91:27–45
Brown JD (2004) Knowledge, uncertainty and physical geography: towards the development of methodologies for questioning belief. Trans Inst Br Geogr 29:367–381
Brus DJ, Kempen B, Heuvelink GBM (2011) Sampling for validation of digital soil maps. Eur J Soil Sci 62:394–407
Burt R (ed) (2004) Soil survey laboratory methods manual: soil survey investigations report No. 42, version 4.0. United States Department of Agriculture, Natural Resources Conservation Service, Nov, 2004. 700 pp
FAO/IIASA/ISRIC/ISSCAS/JRC (2012) IIASA – land use change and agriculture program. Available at: http://webarchive.iiasa.ac.at/Research/LUC/External-World-soil-database/HTML/. Accessed 18 Sept 2015
FAO-UNSECO (1974) Soil map of the world 1: 5 000 000, vol I–X. UNSECO, Paris
IUSS (2015) digitalsoilmapping.org. Available at: http://digitalsoilmapping.org/. Accessed 22 Oct 2015
McKenzie NJ (2014) A new deal for soils—implications of the global soil partnership for GlobalSoilMap. In: Arrouays D, McKenzie NJ, Hempel JW, de Richer Forges A, McBratney AB (eds) GlobalSoilMap. Basis of the global spatial soil information system, Proceedings of the First GlobalSoilMap Conference, Orleans, France, 7–9th October 2013. Taylor & Francis, Balkema
Minasny B, McBratney AB (2010) Methodologies for global soil mapping. In: Boettinger JL, Howell D, Moore AC, Hartemink AE, Kienast-Brown S (eds) Digital soil mapping—bridging research, environmental application, and operation. Progress in soil science. Springer, Dordrecht
Sanchez PA et al (2009) Digital soil map of the world. Science 325:680–681
Viscarra Rossel RAV, Adamchuk VI, Sudduth KA, McKenzie NJ, Lobsey C, Sparks D (2011) Proximal soil sensing: an effective approach for soil measurements in space and time. Adv Agron 113:237–282
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing Switzerland
About this chapter
Cite this chapter
McBratney, A.B., Arrouays, D., Jarrett, L.E. (2017). Quantifying Capability: GlobalSoilMap. In: Field, D.J., Morgan, C.L.S., McBratney, A.B. (eds) Global Soil Security. Progress in Soil Science. Springer, Cham. https://doi.org/10.1007/978-3-319-43394-3_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-43394-3_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-43393-6
Online ISBN: 978-3-319-43394-3
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)