(2015) Bindraban, Prem S. ; María Ruipérez González ; Kempen Bas
; Sandra Wolters; Cyrille Hicintuka; Zacharie Nzohabonayo; Wendt John ; Oscar Nduwimana; John Veerkamp
Lack of awareness about soil fertility constraints is a major limitation to developing sound liming and fertilizer recommendations in sub-Saharan Africa. Detailed maps of soil nutrient concentrations and soil acidity can help to identify areas with soil fertility constraints. For this purpose, maps of primary (P, K), secondary (Ca, Mg, S) and micronutrients (Cu, Zn, B), as well as pH, soil acidity (Al+H), effective CEC and organic matter were generated for the 0-20 cm soil layer by means of digital soil mapping using random forest models at a 250 m spatial resolution for Burundi and Rwanda. The models explained between 20% and 45% of the variation in the data.