Publications 2018-05-10T15:06:47+00:00

Soil legacy data rescue via GlobalSoilMap and other international and national initiatives

Legacy soil data have been produced over 70 years in nearly all countries of the world. Unfortunately, data, information and knowledge are still currently fragmented and at risk of getting lost if they remain in a paper format.


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 of fertiliser recommendations for major crops in West Africa

Site-specific fertilizer recommendations for major food crops in West Africa have been updated and mapped by ISRIC in collaboration with the International fertilizer Development Centre (IFDC) and experts from the NARs of Benin, Burkina Faso and Ghana.


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).


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.


Soil information to feed the African soil, crop and people

The ongoing debate about improving food security in Sub-Saharan Africa (SSA) is about how to enrich its soils. A core challenge within the risk-averse smallholder farming systems prevailing in SSA is to judiciously combine mineral with bio-organic nutrient applications and close nutrient cycles to improve soil health, hence crop productivity, with high and preferably known yearly likeliness of direct return on investment.


The global yield gap atlas for targeting sustainable intensification options for smallholders in Sub-Saharan Africa

Providing food and water security for a population expected to exceed 9 billion by 2050 while conserving natural resources requires achieving high(er) and stable yields on every hectare of currently used arable land suitable for intensification.


Root zone plant-available water holding capacity of the Sub-Saharan Africa soil, version 1.0. Gridded functional soil information

The objective of this project is to produce a robust, quantitative framework, which is updateable and spatially explicit, to generate and maintain functional soil information on root zone depth and associated plant available soil water holding capacity for a major rainfed staple food crop (maize) in sub-Saharan Africa.


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.


Rapid estimation of soil engineering properties using diffuse reflectance near infrared spectroscopy

Materials testing involve complex reference methods and several soil tests have been used for indexing material functional attributes for civil engineering applications. However, conventional laboratory methods are expensive, slow and often imprecise.

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