Mapping of soil properties and land degradation risk in Africa using MODIS reflectance


There is a need for up-to-date assessments and maps of soil properties and land health at scales relevant for decision-making and management, including for properties that are dynamic and hence change in response to management.

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.

Empirical estimates of uncertainty for mapping continuous depth functions of soil attributes


We use an empirical method where model output uncertainties are expressed as a prediction interval (PI) of the underlying distribution of prediction errors. This method obviates the need to identify and determine the contribution of each source of uncertainty to the overall prediction uncertainty.

The Solution to Global Warming Could Be in the Soil


Soil biota can be used to sequester carbon in the soil. Important in this prospect are the possibilities of increasing soil macro-fauna abundance and their diversity to enhance vegetative decomposition, humufication, soil aggregation and increased biomass accumulation.