Your search found 4 records
1 Tadesse, L.; Suryabhagavan, K. V.; Sridhar, G.; Legesse, G. 2017. Land use and land cover changes and soil erosion in Yezat Watershed, North western Ethiopia. International Soil and Water Conservation Research, 5(2):85-94. [doi: https://doi.org/10.1016/j.iswcr.2017.05.004]
Land use ; Land cover change ; Watersheds ; Soil erosion models ; GIS ; Remote sensing ; Satellite imagery ; Landsat ; Vegetation ; Grasslands ; Farmland ; Woodlands ; Shrubs ; Biomass ; Spatial distribution / Ethiopia / Yezat Watershed
(Location: IWMI HQ Call no: e-copy only Record No: H048161)
http://www.sciencedirect.com/science/article/pii/S2095633916301393/pdfft?md5=db1a36ec40258ace455dc8bd1f7f2b25&pid=1-s2.0-S2095633916301393-main.pdf
https://vlibrary.iwmi.org/pdf/H048161.pdf
https://vlibrary.iwmi.org/pdf/H048161.pdf
(4.19 MB) (4.19 MB)
Soil erosion affects land qualities and water resources. This problem is severe in Ethiopia due to its topographic features. The present research was aimed to estimate spatiotemporal changes in land-use/land-cover pattern and soil erosion in the Yezat watershed in Ethiopia. This study was carried out by using landsat imageries of 2001, 2010 and 2015. Images were classified into categories using supervised classification by maximum likelihood algorithm. They were also classified into different biomass levels by using Normalized Difference Vegetation Index (NDVI) analysis. Revised Universal Soil Loss Equation modeling was applied in a GIS environment to quantify the potential soil erosion risk. The area under grassland, woodland and homesteads have increased by 610.69 (4%), 101.69 (0.67%) and 126.6 ha (0.83%) during 2001–2015. The extent of cultivated land and shrub/bushland was reduced by 323.43(0.02%) and 515.44 ha (3.41%), respectively, during the same period. The vegetation cover in the watershed decreased by 91% during 2001–2010, and increased by 88% during 2010–2015. Increase of NDVI values indicates better ground cover due to implementation of integrated watershed development program in the region. The estimated annual soil losses were 7.2 t ha-1 yr-1 in 2001, 7.7 t ha-1 yr-1 in 2010 and 4.8 t ha-1 yr-1 in 2015. Management interventions are necessary to improve the status and utilization of watershed resources in response to sustainable land management practices for sustainable livelihood of the local people.
2 Kassawmar, T.; Gessesse, G. D.; Zeleke, G.; Subhatu, A. 2018. Assessing the soil erosion control efficiency of land management practices implemented through free community labor mobilization in Ethiopia. International Soil and Water Conservation Research, 6(2):87-98. [doi: https://doi.org/10.1016/j.iswcr.2018.02.001]
Erosion control ; Watersheds ; Land management ; Soil conservation ; Water conservation ; Soil erosion models ; Universal soil loss equation ; Land use ; Land cover change ; Labour ; Communities / Ethiopia / Amhara / Tigray
(Location: IWMI HQ Call no: e-copy only Record No: H048779)
https://www.sciencedirect.com/science/article/pii/S2095633917302277/pdfft?md5=fcee31b61dafb53dfec1faccc0f338d9&pid=1-s2.0-S2095633917302277-main.pdf
https://vlibrary.iwmi.org/pdf/H048779.pdf
https://vlibrary.iwmi.org/pdf/H048779.pdf
(4.13 MB) (4.13 MB)
This study aimed to assess the influence of conservation practices (P) and cover management (C) on soil loss reduction by determining it at the scale of landscape units in 16 systematically selected watersheds. Focusing on major land management practices implemented through free community labor mobilization, the assessment combined remote sensing techniques, field observation, and expert as well as local knowledge. The results show an average net decrement of 39% ( 7 19%) in the P factor value and 8.9% ( 7 21%) in the C factor value after implementation of land management practices. P factor value reduction is linked to a high area coverage of level structures, while increases in the P factor value are associated with poor quality of structures, inappropriate practices, and wide spacing between structures on steep slopes. C factor value reduction is observed in non-arable shrub- and bushland with enriched area closure, whereas increased C factor values are associated with open access grasslands and untreated croplands. The overall change in P and C factor values resulted in a 42% ( 7 28%) relative soil loss reduction. The demonstrated approach makes it possible to assess spatial and temporal dynamics in the P and C erosion factors and to estimate spatially disaggregated changes in the P and C factor values. This can help to improve parameterization of inputs for erosion modelling and to assess their relative soil loss effect. The approach provides valuable feedback on watershed planning processes and supports informed decisions regarding the appropriate selection of land management practices.
3 Fayas, C. M.; Abeysingha, N. S.; Nirmanee, K. G. S.; Samaratunga, D.; Mallawatantri, A. 2019. Soil loss estimation using RUSLE model to prioritize erosion control in Kelani River Basin in Sri Lanka. International Soil and Water Conservation Research, 7(2):130-137. [doi: https://doi.org/10.1016/j.iswcr.2019.01.003]
Revised Universal Soil Loss Equation ; Estimation ; Soil erosion models ; Erosion control ; Land degradation ; Land use mapping ; Land cover mapping ; River basins ; Slope ; Rain ; Runoff / Sri Lanka / Kelani River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H049211)
https://www.sciencedirect.com/science/article/pii/S2095633918301734/pdfft?md5=a3753a3c707e963d96f83f94ed76ed9d&pid=1-s2.0-S2095633918301734-main.pdf
https://vlibrary.iwmi.org/pdf/H049211.pdf
https://vlibrary.iwmi.org/pdf/H049211.pdf
(3.17 MB) (3.17 MB)
Soil erosion contributes negatively to agricultural production, quality of source water for drinking, ecosystem health in land and aquatic environments, and aesthetic value of landscapes. Approaches to understand the spatial variability of erosion severity are important for improving landuse management. This study uses the Kelani river basin in Sri Lanka as the study area to assess erosion severity using the Revised Universal Soil Loss Equation (RUSLE) model supported by a GIS system. Erosion severity across the river basin was estimated using RUSLE, a Digital Elevation Model (15 15 m), twenty years rainfall data at 14 rain gauge stations across the basin, landuse and land cover, and soil maps and cropping factors. The estimated average annual soil loss in Kelani river basin varied from zero to 103.7 t ha-1 yr1 , with a mean annual soil loss estimated at 10.9 t ha1 yr1 . About 70% of the river basin area was identified with low to moderate erosion severity (o12 t ha1 yr1 ) indicating that erosion control measures are urgently needed to ensure a sustainable ecosystem in the Kelani river basin, which in turn, is connected with the quality of life of over 5 million people. Use of this severity information developed with RUSLE along with its individual parameters can help to design landuse management practices. This effort can be further refined by analyzing RUSLE results along with Kelani river sub-basins level real time erosion estimations as a monitoring measure for conservation practices.
4 Leh, Mansoor; Vongsathien, Xayyasone; McCartney, Matthew; Lacombe, Guillaume. 2019. Erosion study as a contribution to the CAWA [Climate Change Adaptation in Wetlands Areas] project. Final report submitted to FAO and CGIAR Research Program on Water, Land and Ecosystems (WLE). Colombo, Sri Lanka: International Water Management Institute (IWMI). 45p.
Soil erosion models ; Universal Soil Loss Equation ; Estimation ; Rivers ; Watersheds ; Land use ; Land cover ; Rain ; Climate change adaptation ; Wetlands ; Projects ; Spatial distribution ; Slope ; Forecasting / Lao People's Democratic Republic / Xe Champone Watershed
(Location: IWMI HQ Call no: e-copy only Record No: H049437)
(5.82 MB)
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