Philippe Lagacherie, Songchao Chen, Christian Walter, Anne C. Richer-de-Forges, Budiman Minasny, Zhou Shi, Vera Leatitia Mulder, Jeroen Meersmans, Laura Poggio, Pierre Roudier, Zamir Libohova, Dominique Arrouays, Jacqueline Hannam, InfoSol (InfoSol), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Zhejiang University, Sol Agro et hydrosystème Spatialisation (SAS), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Soil Geography and Landscape Group, Wageningen University and Research [Wageningen] (WUR), World Soil Information (ISRIC), School of Environmental and Life Sciences - SELS (Callaghan, Australia), University of Newcastle [Australia] (UoN), Manaaki Whenua – Landcare Research [Lincoln], USDA-NRCS National Soil Survey Center, Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH), Institut de Recherche pour le Développement (IRD)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institute of Agricultural Remote Sensing and Information Technology Application, College of Environmental and Resource Sciences, Cranfield University, Department of Biosystem Engineering (BIOSE), Gembloux Agro-Bio Tech (GxABT), Université de Liège, This work is supported by LE STUDIUM Loire Valley Institute for Advanced Studies (France) . Songchao Chen received support from the China Scholarship Council (grant no. 201606320211) . This work benefited from collaborations established in the framework of the EU EJP Soil 'Towards climate-smart sustainable management of agricul-tural soils' (grant no. 862695) ., Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Rennes Angers, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), University of Newcastle [Callaghan, Australia] (UoN), and Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier
International audience; Soils are essential for supporting food production and providing ecosystem services but are under pressure due to population growth, higher food demand, and land use competition. Because of the effort to ensure the sustainable use of soil resources, demand for current, updatable soil information capable of supporting decisions across scales is increasing. Digital soil mapping (DSM) addresses the drawbacks of conventional soil mapping and has been increasingly used for delivering soil information in a time- and cost-efficient manner with higher spatial resolution, better map accuracy, and quantified uncertainty estimates. We reviewed 244 articles published between January 2003 and July 2021 and then summarised the progress in broad-scale (spatial extent 10,000 km2) DSM, focusing on the 12 mandatory soil properties for GlobalSoilMap. We observed that DSM publications continued to increase exponentially; however, the majority (74.6%) focused on applications rather than methodology development. China, France, Australia, and the United States were the most active countries, and Africa and South America lacked country-based DSM products. Approximately 78% of articles focused on mapping soil organic matter/carbon content and soil organic carbon stocks because of their significant role in food security and climate regulation. Half the articles focused on soil information in topsoil only (