The Spatiotemporal Dynamics of Land Use Land Cover Change, and Its Impact on Soil Erosion in Tagaw Watershed, Blue Nile Basin, Ethiopia

Melese, Tadele; Senamaw, Abebe; Belay, Tatek; Bayable, Getachew

doi:10.1002/gch2.202000109

“…The application of RUSLE in Ethiopia has played a vital role in generating awareness about soil erosion, guiding land management decisions, and implementing soil erosion control measures [7], [9], [41]. It has contributed to developing soil and water protection strategies, such as terracing, agroforestry, and improved farming practices, to moderate the impact of erosion and preserve soil fertility [26], [38]. Today, RUSLE and its modified versions are commonly used by researchers, government agencies, and NGOs in Ethiopia for soil erosion assessment, land use planning, and the development of sustainable land management practices.…”

Section: Historical Background Of Rusle In Ethiopiamentioning

confidence: 99%

“…However, limitations exist, such as the reliance on average and generalized values for input parameters, which may overlook site-specific characteristics. Additionally, the model's sensitivity to input data and assumptions and uncertainties in parameter estimation can introduce variability and affect the accuracy of soil loss predictions [26].…”

Section: Accuracy and Uncertainty Of Model Outputsmentioning

confidence: 99%

Review of Soil Loss Estimation in Ethiopia: Evaluating the Use of the RUSLE Model integrated with GIS and Remote Sensing Techniques

Terefe,

Amene,

Tihtinaw

et al. 2024

Preprint

0

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Soil erosion is one of Ethiopia's most severe ecological problems, affecting agricultural output, water quality, and ecosystem well-being. The RUSLE (Revised Universal Soil Loss Equation) model is an extensively used tool for estimating soil erosion, but its applicability in Ethiopia has yet to be effectively evaluated. This article systematically examines the RUSLE model's application in estimating soil loss, emphasizing Ethiopia. A wide-ranging search technique was used to categorize appropriate research articles, books, and other sources related to the practice of the RUSLE model for estimating soil loss in Ethiopia for this review paper. This review observes the model's strengths and limitations, examines the factors contributing to soil erosion, and identifies region-specific strategies for effective soil conservation and mitigation. This review helps the management of soil erosion challenges in Ethiopia by advancing our understanding of the model's utility and providing valuable insights. The findings of this review presented here are critical for estimating soil erosion. They will play a more significant role in improving agricultural methods, protecting soil resources, and ensuring the overall ecological well-being of the country.

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“…However, limitations exist, such as the reliance on average and generalized values for input parameters, which may overlook site-speci c characteristics. Additionally, the model's sensitivity to input data and assumptions and uncertainties in parameter estimation can introduce variability and affect the accuracy of soil loss predictions (Melese et al 2021).…”

Section: Accuracy and Uncertainty Of Model Outputsmentioning

confidence: 99%

Review of Soil Loss Estimation in Ethiopia: Evaluating the Use of the RUSLE Model integrated with GIS and Remote Techniques

Terefe

2023

Preprint

0

View full text Add to dashboard Cite

Soil erosion is one of Ethiopia's most severe ecological problems, affecting agricultural output, water quality, and ecosystem well-being. The RUSLE (Revised Universal Soil Loss Equation) model is an extensively used tool for estimating soil erosion, but its applicability in Ethiopia has yet to be effectively evaluated. This article systematically examines the RUSLE model's application in estimating soil loss, emphasizing Ethiopia. A wide-ranging search technique was used to categorize appropriate research articles, books, and other sources related to the practice of the RUSLE model for estimating soil loss in Ethiopia for this review paper. This review observes the model's strengths and limitations, examines the factors contributing to soil erosion, and identifies region-specific strategies for effective soil conservation and mitigation. This review helps the management of soil erosion challenges in Ethiopia by advancing our understanding of the model's utility and providing valuable insights. The findings of this review presented here are critical for estimating soil erosion. They will play a more significant role in improving agricultural methods, protecting soil resources, and ensuring the overall ecological well-being of the country.

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“…Research has indicated that land use patterns affect the soil aggregate stability [7,13]. For example, grassland and forest have higher soil aggregate stability than agricultural land and bare land [7,14,15].…”

Section: Introductionmentioning

confidence: 99%

Response of the Stability of Soil Aggregates and Erodibility to Land Use Patterns in Wetland Ecosystems of Karst Plateau

Cen,

Peng,

Dai

2024

Forests

0

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The world’s natural wetlands, which have important ecological functions, are being lost at an alarming rate. The erosion and deposition of soil on wetlands is a major cause of wetland conversion to agriculture. An urgent problem to be solved is how to slow down the erosion and deposition of wetlands resulting from land use. Land use patterns affect soil properties, thereby affecting soil aggregate stability and erodibility. Evaluating the effects of land use patterns on soil aggregate stability and erodibility in small watersheds of wetland ecosystems of karst plateau is of great importance. Thus, we compared the soil properties, aggregate stability indicators and soil erodibility of shrubland, grassland, artificial forest land and sloping farmland for evaluating the impact of various land use patterns on soil aggregate stability and erodibility in typical karst plateau wetland ecosystems. Our results showed that the mass fraction of soil aggregates > 0.25 mm was the main component in the four land uses, with greater variation in aggregates > 5 mm; overall, MWD, GMD and WSA0.25 were higher in grassland and shrubland than in sloping farmland and artificial forest land, while K values, PAD and SCAI showed the opposite trend. Correlation analysis showed that effective soil nutrients had a positive effect on soil aggregate stability. In conclusion, the stability of soil aggregates and resistance to soil erosion were strongest under the influence of shrubland. Our study showed that shrubland can better improve soil aggregate stability and erosion resistance, which may provide a guide for protecting and restoring karst plateau wetland ecosystems.

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The Spatiotemporal Dynamics of Land Use Land Cover Change, and Its Impact on Soil Erosion in Tagaw Watershed, Blue Nile Basin, Ethiopia

Cited by 15 publications

References 77 publications

Review of Soil Loss Estimation in Ethiopia: Evaluating the Use of the RUSLE Model integrated with GIS and Remote Sensing Techniques

Review of Soil Loss Estimation in Ethiopia: Evaluating the Use of the RUSLE Model integrated with GIS and Remote Sensing Techniques

Review of Soil Loss Estimation in Ethiopia: Evaluating the Use of the RUSLE Model integrated with GIS and Remote Techniques

Response of the Stability of Soil Aggregates and Erodibility to Land Use Patterns in Wetland Ecosystems of Karst Plateau

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