Abstract

In rainfed crop production, root zone plant-available water holding capacity (RZ-PAWHC) of the soil has a large influence on crop growth and the yield response to management inputs such as improved seeds and fertilisers. However, data are lacking for this parameter in sub-Saharan Africa (SSA). This study produced the first spatially explicit, coherent and complete maps of the rootable depth and RZ-PAWHC of soil in SSA. We compiled geo-referenced data from 28,000 soil profiles from SSA, which were used as input for digital soil mapping (DSM) techniques to produce soil property maps of SSA. Based on these soil properties, we developed and parameterised (pedotransfer) functions, rules and criteria to evaluate soil water retention at field capacity and wilting point, the soil fine earth fraction from coarse fragments content and, for maize, the soil rootability (relative to threshold values) and rootable depth. Maps of these secondary soil properties were derived using the primary soil property maps as input for the evaluation rules and the results were aggregated over the rootable depth to obtain a map of RZ-PAWHC, with a spatial resolution of 1 km2. The mean RZ-PAWHC for SSA is 74 mm and the associated average root zone depth is 96 cm. Pearson correlation between the two is 0.95. RZ-PAWHC proves most limited by the rootable depth but is also highly sensitive to the definition of field capacity. The total soil volume of SSA potentially rootable by maize is reduced by one third (over 10,500 km3) due to soil conditions restricting root zone depth. Of these, 4800 km3 are due to limited depth of aeration, which is the factor most severely limiting in terms of extent (km2), and 2500 km3 due to sodicity which is most severely limiting in terms of degree (depth in cm). Depth of soil to bedrock reduces the rootable soil volume by 2500 km3, aluminium toxicity by 600 km3, porosity by 120 km3 and alkalinity by 20 km3. The accuracy of the map of rootable depth and thus of RZ-PAWHC could not be validated quantitatively due to absent data on rootability and rootable depth but is limited by the accuracy of the primary soil property maps. The methodological framework is robust and has been operationalised such that the maps can easily be updated as additional data become available.

Highlights

  • Substantial and sustainable increases in crop yields are needed in sub-Saharan Africa (SSA) to help meet food demand due to population and income growth (Jayne et al, 2010; Pretty et al, 2011; Garnett and Godfray, 2012; van Ittersum et al, 2016)

  • The workflow to produce the maps of RZ-plant-available water holding capacity (PAWHC) was implemented within the overarching methodological framework as provided by the Global Soil Information Facility which is accessible at cran.r-project. org/web/packages/GSIF/

  • All soil data are publicly available according to the data policy of ISRIC as the World Data Centre for Soils, including input data, intermediate results and final results, all at 1 km resolution

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Summary

Introduction

Substantial and sustainable increases in crop yields are needed in sub-Saharan Africa (SSA) to help meet food demand due to population and income growth (Jayne et al, 2010; Pretty et al, 2011; Garnett and Godfray, 2012; van Ittersum et al, 2016). Quantitative estimates of the yield response to inputs at a given location, and especially its temporal variation, are essential for estimating the risks associated with these investments and such information may well be key to achieving higher rates of adoption of ISFM practices and especially fertiliser application (Marenya and Barrett, 2007; Dercon and Christiaensen, 2007; Rötter and van Keulen, 1997; Hiebert, 1974)

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