Digital mapping of soil nutrients for the Republics of Burundi and Rwanda

M. Ruiperez Gonzalez, B. Kempen, P.S. Bindraban, S. Wolters, C. Hicintuka, M. Nibasumba, Z. Nzohabonayo, J. Wendt, O. Nduwimana, J. Veerkamp

Research output: Chapter in Book/Report/Conference proceedingAbstract

Abstract

Lack of awareness of various soil fertility constraints, including soil acidity and nutriënt deficiencies, is a major limitation to developing sound liming and fertilizer recommendations in sub-Saharan Africa, including Burundi and Rwanda. Detailed maps of soil nutriënt concentrations and soil acidity can help to alleviate to identify areas with soil fertility constraints. This information can be used to better target fertilizer applications for a more balanced provision of crop nutrition. 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. The models were calibrated with over 1000 field observations on soil fertility parameters for each country. Over 100 environmental GIS data layers were used as covariates in the models. These included land cover, soil, climatic maps and MODIS satellite imagery. Prediction accuracy was quantified with 10-fold cross-validation and prediction uncertainty was quantified by the 90% prediction interval. For Burundi, the models explained between 12% (K) and 49% (organic matter) of the variation in the observed data. For the micronutrients, the explained variation was 39% for Cu and B, and 20% for Zn. For Rwanda, the models explained between 21% (K) and 46% (Ca) of the variation. The explained variation for Cu was 41%, for B 39%, and for Zn 25%. Covariates related to climate and terrain proved to be the most effective predictors. The soil maps present a significant update of the currently available nutrient maps and can support soil fertility management programs, including better targeted fertilizer and lime recommendations, regional quantification of requirement amounts of balanced fertilizers for agro-dealers, and information for policy decision making.
Original languageEnglish
Title of host publicationSoil Science in a Changing World
EditorsB. Jansen, S.D. Keesstra, G. Mol, J. Wallinga, A.M. Zaal
PublisherWageningen UR
Pages179
ISBN (Print)9789461731685
Publication statusPublished - 2015
Event2nd Wageningen Conference on Soil Science 2015 - Wageningen, Netherlands
Duration: 23 Aug 201527 Aug 2015

Conference

Conference2nd Wageningen Conference on Soil Science 2015
CountryNetherlands
CityWageningen
Period23/08/1527/08/15

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Ruiperez Gonzalez, M., Kempen, B., Bindraban, P. S., Wolters, S., Hicintuka, C., Nibasumba, M., ... Veerkamp, J. (2015). Digital mapping of soil nutrients for the Republics of Burundi and Rwanda. In B. Jansen, S. D. Keesstra, G. Mol, J. Wallinga, & A. M. Zaal (Eds.), Soil Science in a Changing World (pp. 179). Wageningen UR.