Quantification of soil loss by using RUSLE model under different land use and land cover conditions in AKANYARU catchment in Rwanda
5 affiliations
- 1Rwanda Agriculture and Animal Resources Development Board, RAB
- 2University of Rwanda,UR
- 3Rwanda Polytechnic-Musanze College
- 4Institut d’Enseignement superieur de Ruhengeri
- 5Rwanda Institute of conservation Agriculture, RICA
Abstract
This study quantified annual soil loss across the Akanyaru Catchment (3,402 km², Rwanda) under four land use and land cover types forest, agriculture, residential, and bare soil using the RUSLE model integrated with GIS. The Rainfall erosivity (R) is derived from 20 years of daily rainfall data obtained from the NASA database. The Soil erodibility (K) used is from global soil texture data; slope length and steepness (LS) from a 30 m DEM; and cover management (C) from Landsat 8 NDVI. The support practice factor (P) was set to 1.0, reflecting the absence of formal conservation structures in the catchment. The Soil loss range from 0 to 51.4391 t/ha/year. Near zero soil loss occurred under dense forest cover, while the highest rates were concentrated in bare and intensively farmed areas on steep slopes particularly in the northeastern and southwestern sub-catchments. The three RUSLE factors showing greatest spatial variationwere steep topography (LS: 0–1.678), degraded or absent vegetation cover (C: 0.0004–0.524), and high rainfall erosivity (R: 527.507–888.624 MJ·mm·ha⁻¹·h⁻¹·yr⁻¹). Findings call for prioritizing terracing and contour farming on steep agricultural slopes, expanding agroforestry and cover crops to reduce surface exposure, and improving soil organic matter in erodible sandy-silty soils. The spatially explicit outputs directly support evidence based targeting of conservation resources by Rwanda’s land and water management authorities.
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BibTeX
@article{ntirenganya2026quantification,
title = {{Quantification of soil loss by using RUSLE model under different land use and land cover conditions in AKANYARU catchment in Rwanda}},
author = {Jean Bosco Ntirenganya and Eric Derrick Bugenimana and Rose Niyonkuru and Aphrodice Iragena and Pierre Celestin Uwamahoro and Tuyisabe Jean Bosco and Judith Uwihirwe},
journal = {Discover Soil},
year = {2026},
month = oct,
doi = {10.1007/s44378-026-00347-1},
url = {https://doi.org/10.1007/s44378-026-00347-1},
note = {CC BY},
}
RIS
TY - JOUR
TI - Quantification of soil loss by using RUSLE model under different land use and land cover conditions in AKANYARU catchment in Rwanda
AU - Jean Bosco Ntirenganya
AU - Eric Derrick Bugenimana
AU - Rose Niyonkuru
AU - Aphrodice Iragena
AU - Pierre Celestin Uwamahoro
AU - Tuyisabe Jean Bosco
AU - Judith Uwihirwe
PY - 2026
DA - 2026/10/25
JO - Discover Soil
DO - 10.1007/s44378-026-00347-1
UR - https://doi.org/10.1007/s44378-026-00347-1
AB - This study quantified annual soil loss across the Akanyaru Catchment (3,402 km², Rwanda) under four land use and land cover types forest, agriculture, residential, and bare soil using the RUSLE model integrated with GIS. The Rainfall erosivity (R) is derived from 20 years of daily rainfall data obtained from the NASA database. The Soil erodibility (K) used is from global soil texture data; slope length and steepness (LS) from a 30 m DEM; and cover management (C) from Landsat 8 NDVI. The support practice factor (P) was set to 1.0, reflecting the absence of formal conservation structures in the catchment. The Soil loss range from 0 to 51.4391 t/ha/year. Near zero soil loss occurred under dense forest cover, while the highest rates were concentrated in bare and intensively farmed areas on steep slopes particularly in the northeastern and southwestern sub-catchments. The three RUSLE factors showing greatest spatial variationwere steep topography (LS: 0–1.678), degraded or absent vegetation cover (C: 0.0004–0.524), and high rainfall erosivity (R: 527.507–888.624 MJ·mm·ha⁻¹·h⁻¹·yr⁻¹). Findings call for prioritizing terracing and contour farming on steep agricultural slopes, expanding agroforestry and cover crops to reduce surface exposure, and improving soil organic matter in erodible sandy-silty soils. The spatially explicit outputs directly support evidence based targeting of conservation resources by Rwanda’s land and water management authorities.
SN - 3005-1223
ER -