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Soil Erosion Risk Assessment in Uganda

by 1,2,3,4,5, 1,2,5,*, 1, 6 and 3,7
College of Life Science, Shihezi University, Shihezi 832003, China
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
University of Chinese Academy of Sciences, Beijing 100049, China
Faculty of Environmental Studies, University of Lay Adventists of Kigali, P.O. Box 6392 Kigali, Rwanda
Joint Research Center for Natural Resources and Environment in East Africa, P.O. Box 6392 Kigali, Rwanda
Department of Forestry, Environmental and Geographical Sciences, College of Agriculture and Environmental Sciences, Makerere University, Kampala 256, Uganda
State of Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Author to whom correspondence should be addressed.
Academic Editors: Peter N. Beets and Timothy A. Martin
Forests 2017, 8(2), 52;
Received: 9 December 2016 / Accepted: 17 February 2017 / Published: 22 February 2017
Land use without adequate soil erosion control measures is continuously increasing the risk of soil erosion by water mainly in developing tropical countries. These countries are prone to environmental disturbance due to high population growth and high rainfall intensity. The aim of this study is to assess the state of soil erosion by water in Uganda at national and district levels, for various land cover and land use (LCLU) types, in protected areas as well to predict the impact of support practices on soil loss reduction. Predictions obtained using the Revised Universal Soil Loss Equation (RUSLE) model indicated that the mean rate of soil loss risk in Uganda’s erosion‐prone lands was 3.2 t∙ha−1∙y−1, resulting in a total annual soil loss of about 62 million tons in 2014. About 39% of the country’s erosion‐prone lands were comprised of unsustainable mean soil loss rates >1 t∙ha−1∙y−1. Out of 112 districts in Uganda, 66 districts were found to have unsustainable estimated soil loss rates >1 t∙ha−1∙y−1. Six districts in Uganda were found to have mean annual soil loss rates of >10 t∙ha−1∙y−1: Bududa (46.3 t∙ha−1∙y−1), Kasese (37.5 t∙ha−1∙y−1), Bundibugyo (28.9 t∙ha−1∙y−1), Bulambuli (20.9 t∙ha−1∙y−1), Sironko (14.6 t∙ha−1∙y−1) and Kotido (12.5 t∙ha−1∙y−1). Among the LCLU types, the highest soil loss rates of 11 t∙ha−1∙y−1 and 10.6 t∙ha−1∙y−1 were found in moderate natural forest and dense natural forest, respectively, mainly due to their locations in highland areas characterized by steep slopes ranging between 16% to 21% and their high rainfall intensity, ranging from 1255 mm∙y−1 to 1292 mm∙y−1. Only five protected areas in Uganda were found to have high mean estimated mean soil loss rates >10 t∙ha−1∙y−1: Rwenzori Mountains (142.94 t∙ha−1∙y−1), Mount Elgon (33.81 t∙ha−1∙y−1), Bokora corridor (12.13 t∙ha−1∙y−1), Matheniko (10.39 t∙ha−1∙y−1), and Nangolibwel (10.33 t∙ha−1∙y−1). To manage soil erosion in Uganda’s protected areas, there is an urgent need to control wildfires and human‐induced disturbances such as timber harvesting and soil compaction from domestic animals. Our study analysis revealed that well‐established terraces and strip‐cropping could significantly reduce soil loss rates in Uganda’s croplands by 80% (from 1.5 t∙ha−1∙y−1 to 0.3 t∙ha−1∙y−1) and by 47% (from 1.5 t∙ha−1∙y−1 to 0.8 t∙ha−1∙y−1), respectively, well below the sustainable soil erosion tolerance rate (1 t∙ha−1∙y−1) for land and water conservation. View Full-Text
Keywords: erosion‐prone lands; erosion tolerance; GIS; land use; remote sensing; RUSLE erosion‐prone lands; erosion tolerance; GIS; land use; remote sensing; RUSLE
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MDPI and ACS Style

Karamage, F.; Zhang, C.; Liu, T.; Maganda, A.; Isabwe, A. Soil Erosion Risk Assessment in Uganda. Forests 2017, 8, 52.

AMA Style

Karamage F, Zhang C, Liu T, Maganda A, Isabwe A. Soil Erosion Risk Assessment in Uganda. Forests. 2017; 8(2):52.

Chicago/Turabian Style

Karamage, Fidele, Chi Zhang, Tong Liu, Andrew Maganda, and Alain Isabwe. 2017. "Soil Erosion Risk Assessment in Uganda" Forests 8, no. 2: 52.

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