Application of the USLE in a Savannah Environment: Comparative Experiences from East and West Africa

• Published in: Singapore journal of tropical geography Vol. 22; no. 2; pp. 138 - 155
• Main Authors: Mati, B.M., Veihe, A.
• Format: Journal Article
• Language: English
• Published: Oxford, UK and Boston, USA Blackwell Publishers Ltd 01-07-2001; University of Singapore
• Subjects: Bgi / Prodig; Biogeography; Comparative analysis; East Africa; Ecosystems and biological productivity; Environment; erosion risk assessment; Forecasts; Geographical information systems; Geography; Physical geography; Savanna; Savannah ecosystem; Soil erosion; Universal Soil Loss Equation; USLE; West Africa; Kenya; Ghana; Risk; Modelling; Soil erosion; Ecosystem; Savanna
• ISSN: 0129-7619; 1467-9493
• DOI: 10.1111/1467-9493.00099

The use of empirical models for predicting erosion hazard in Africa is widespread. One of the most commonly used models is the Universal Soil Loss Equation (USLE). This paper explores the applicability of the USLE in the East and West African Savannah environments, using both primary and secondary data. The results show that the USLE can be applied to Savannah conditions if some level of instrumentation is provided to enable model calibration and validation. The rainfall erosivity factor (R) is one variable which is calculated differently in both the East and the West African Savannah, reflecting differences in the storm characteristics between the two regions. The soil erodibility factor (K) is applied to cultivated soils with relatively high organic matter but does not adequately predict soil loss if the soils have large quantities of stone cover or if they exhibit surface sealing properties. The topographic factors (LS) are transferable, but in some parts of the Savannah, very steep slopes are cultivated, limiting the accuracy of the LS factor. The crop and management factor (C) is applicable for single stand crops, but more studies are required to develop C factors for multiple cropping and rangelands as these are more prevalent in the Savannah. The conservation practices factors (P) as described in the USLE routines do not adequately cater for soil conservation structures found in Africa, such as trash lines and stone lines. Thus, local indices need to be developed. In general, the USLE tends to underestimate soil erosion in East Africa while overestimating it in the West African Savannah. User‐friendly Geographical Information Systems (GIS) applications that depict the uncertainty of model estimates should be explored in the future.