Digital mapping of GlobalSoilMap soil properties at a broad scale: A review

• Published in: Geoderma Vol. 409; p. 115567
• Main Authors: Chen, Songchao, Arrouays, Dominique, Leatitia Mulder, Vera, Poggio, Laura, Minasny, Budiman, Roudier, Pierre, Libohova, Zamir, Lagacherie, Philippe, Shi, Zhou, Hannam, Jacqueline, Meersmans, Jeroen, Richer-de-Forges, Anne C., Walter, Christian
• Format: Journal Article Web Resource
• Language: English
• Published: Elsevier B.V 01.03.2022; Elsevier
• Subjects: Africa; Agricultural sciences; Australia; bulk density; China; clay; climate; Computer Science; cost effectiveness; Digital Soil Mapping; Earth sciences & physical geography; ecosystems; Environmental Covariates; food production; food security; France; GlobalSoilMap; land use; Life Sciences; Mathematics; Model Performance and Uncertainty; model validation; Modeling and Simulation; Physical, chemical, mathematical & earth Sciences; Physique, chimie, mathématiques & sciences de la terre; population growth; Predictive Models; risk assessment; sand; Sciences de la terre & géographie physique; silt; soil depth; Soil Information; soil organic carbon; soil pH; Soil study; South America; Symplectic Geometry; topsoil; uncertainty; South America; Australia; France; China; Africa; Digital Soil Mapping; Soil Information; Environmental Covariates; Predictive Models; Model Performance and Uncertainty; GlobalSoilMap

•Digital soil mapping studies at broad scale strongly increased from 2003 to 2019.•Most studies focused on mapping SOC and soil particle size fractions.•Model performance usually decreased in deeper depth intervals.•New studies should explore other covariates, functional soil properties and deeper l...