Accessible, affordable, fine‐scale estimates of soil carbon for sustainable management in sub‐Saharan Africa

Abstract

AbstractSoil C status is acritical component of greenhouse gas mitigation efforts, and supports food security through affecting crop growth and management. In much of the world, laboratory‐based measures of soil C are expensive and logistically challenging, whereas map‐based predictions generated at the continental scale (e.g., African Soil Information Service [AfSIS]; www.soilgrids.org) may be unreliable at the management‐relevant, policy‐relevant, field, and regional scales. We test whether an USD 350, open source, field portable reflectometer can provide site‐specific estimates of soil C status, and also predict whether a crop will respond to fertilizer across 1,155 sites in central and southern Malawi based on an established threshold of 9.4 g C kg−1 soil. When compared with soil C measured by combustion, the scanner calibrated with covariates of field‐estimable texture class and slope class provides unbiased (0.42 ± 0.44 g C kg−1 soil; p = .06), precise (R2 = .57), and actionable (area under the receiver operating characteristic curve [AUC] = 0.88) data at the field scale, including at unmeasured locations (relative prediction error 19–23%) and at the village scale. The reflectometer outperformed predictions from the continental‐scale AfSIS database, which were neither precise (R2 = .044) nor actionable (AUC = 0.63) at the field scale, and underestimated soil C in the region by 2.5 ± 0.5 g C kg−1 soil (p < .001). The reflectometer is an accessible tool to monitor soil C in sub‐Saharan Africa to improve field‐level management, and guide regional policies that support food security while combating climate change.