摘要：Abstract. Soil is an important regulator of Earth system processes,but remains one of the least well-described data layers in Earth systemmodels (ESMs). We reviewed global soil property maps from the perspective ofESMs, including soil physical and chemical and biological properties, whichcan also offer insights to soil data developers and users. These soildatasets provide model inputs, initial variables, and benchmark datasets. Formodelling use, the dataset should be geographically continuous and scalable andhave uncertainty estimates. The popular soil datasets used in ESMs are oftenbased on limited soil profiles and coarse-resolution soil-type maps withvarious uncertainty sources. Updated and comprehensive soil informationneeds to be incorporated into ESMs. New generation soil datasets derivedthrough digital soil mapping with abundant, harmonized, and quality-controlled soil observations and environmental covariates are preferred tothose derived through the linkage method (i.e. taxotransfer rule-basedmethod) for ESMs. SoilGrids has the highest accuracy and resolution amongthe global soil datasets, while other recently developed datasets offeruseful compensation. Because there is no universal pedotransfer function, anensemble of them may be more suitable for providing derived soil properties toESMs. Aggregation and upscaling of soil data are needed for model use, butcan be avoided by using a subgrid method in ESMs at the expense of increasesin model complexity. Producing soil property maps in a time series still remainschallenging. The uncertainties in soil data need to be estimated andincorporated into ESMs.
