Rooting for food security in Sub-Saharan Africa


There is a persistent narrative about the potential of Sub-Saharan Africa (SSA) to be a 'grain breadbasket' because of large gaps between current low yields and yield potential with good management, and vast land resources with adequate rainfall.

Mapping root depth soil water in sub-Saharan Africa


Soil root zone plant-available water holding capacity (RZ-PAWHC) is one of the most sensitive soil parameters determining crop growth. This study produced the first map of the rootable depth and the RZ-PAWHC of sub-Saharan Africa (SSA).

A spatial data infrastructure for storing and exchanging global soil data


A spatial data infrastructure for storing and exchanging global soil data The demand for soil data for agro-ecological and other environmental applications at national, regional and global level is growing; establishing a spatial data infrastructure (SDI) for global soil data is key for connecting soil data holders and serving the user community effectively. Organizations [...]

Soil data harmonisation and geostatistical modelling efforts in support of improved studies of global sustainability


Future Earth and other large international research and development programmes aim to provide the scientific evidence base required for developing into a sustainable future. Soil, which is an important provider of ecosystem services, remains one of the least developed data layers in global land models and uncertainties are large.

SoilGrids1km — Global Soil Information Based on Automated Mapping


We present SoilGrids1km — a global 3D soil information system at 1 km resolution — containing spatial predictions for a selection of soil properties (at six standard depths): soil organic carbon (g kg−1), soil pH, sand, silt and clay fractions (%), bulk density (kg m−3), cation-exchange capacity (cmol+/kg), coarse fragments (%), soil organic carbon stock (t ha−1), depth to bedrock (cm), World Reference Base soil groups, and USDA Soil Taxonomy suborders.

Soil hydraulic information for river basin studies in semi-arid regions


Water retention and hydraulic conductivity characteristics of the soil are indispensable for hydrological catchment modelling and for quantifying water limited agricultural production. However, these characteristics are often not available for regions and data scarcity for tropical zones is even bigger than for temperate zones.