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Ejegu, Mulualem Asfaw
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology

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Potential rainwater harvesting suitable land selection and management by using GIS with MCDA in Ebenat District, Northwestern Ethiopia Ejegu, Mulualem Asfaw; Yegizaw, Endalkachew Sisay
Journal of Degraded and Mining Lands Management Vol. 8 No. 1 (2020)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2020.081.2537

Abstract

Rainwater harvesting (RWH) is the way to reduce the effects of mid-season dry spells and drought, which often reduce crop yields. Geographic information system (GIS) with multi-criteria decision making (MCDA) is a powerful tool to identify and solve spatial problems like the identification of the suitable site of RWH. Sentinel image, soil, metrological row data, geological data, and digital elevation model (DEM) data were the source of a dataset to undertake the preprocessing, manipulation, and analysis the suitable site identification by using GIS and remote sensing spatial analysis. More than seven parameters where identified based on an extensive literature review which is land use/land-cover, soil textural, rainfall, lineament, slope, runoff density and curve number, distance from settlement and road. The multi-criteria decision-making method was used for weight value estimation of each criterion and finally, the rainwater harvesting suitability map was generated. The potentially suitable site was grouped into four levels of suitability, which accounts in hectare 3,620, 16,0618, 69,867, and 14,010 ha of highly suitable, moderately suitable, less suitable, and restricted respectively from the total area coverage of 248,115 ha respectively.
Modeling soil erosion susceptibility and LULC dynamics for land degradation management using geoinformation technology in Debre Tabor district, Northwestern highlands of Ethiopia Ejegu, Mulualem Asfaw; Yegizaw, Endalkachew Sisay
Journal of Degraded and Mining Lands Management Vol. 8 No. 2 (2021)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2021.082.2623

Abstract

Land degradation manifested in landscape change is triggered by soil erosion and it is a thoughtful environmental threat. Nationally, soil loss costs 23% of the national annual GDP. Thus, identifying and prioritizing land degraded areas for conservation in regional planning and resource conservation is the priority of land degradation management. Therefore, identification of erosion hazard area and land use and/or land cover (LULC) dynamics are the overall objectives of the study. GIS and Remote Sensing technology was used to identify erosion hazard areas. K-factor, R-factor, LS factor, P-factor, and C-factor, parameters were derived from mean rainfall, Digital Elevation Model, soil map, LULC map, and ground truth points of all the parameters used to identify erosion hazard areas. At the last, the aggregate effect of those parameters had been analyzed and erosion hazard areas were identified. The Revised Universal Soil Loss Equation (RUSEL) was employed to estimate the annual soil loss of the area. The analysis result unveils that within 20 years interval cultivated land, urban land, and bare land show that a dramatically increasing and forest land shows that decreasing rate. The district has undergone significant changes. Portions of the study area that has the highest slope gradient, the highest amount of rainfall, and consist of Nitosols on agricultural land are the most erosion hazard areas. Statistically, nearly 49%, 19.78%, 9.58%, and 5.45% of the study area coverage lower than moderate, high, very high, and severe soil erosion class correspondingly. Annually losses on average of 41.07 t ha-1yr-1 soil loss because the area is intensively cultivated and experiences relatively high rainfall, and steep slope. The share of the study area, southern part, and northeastern portion of Debre Tabor district are exposed to high erosion hazard class compared to other parts. 
Determinants of farmers’ choice of land management strategies to climate change in drought prone areas of Amhara Region: The case of Lay Gayint Woreda, Northwest Ethiopia Wale, Workie Mesfin; Tegegne, Melak Abebe; Zeleke, Menberu Teshome; Ejegu, Mulualem Asfaw; Yegizaw, Endalkachew Sisay
Journal of Degraded and Mining Lands Management Vol. 8 No. 2 (2021)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2021.082.2661

Abstract

Climate change is one of the life-threatening challenges that face the ecosphere in recent decades. Climate change exacerbates the rate and magnitude of several ongoing land degradation processes. The impact is particularly high in unindustrialized states like Ethiopia. In recognition of the impact adaptation become the policy options to minimize the adverse effects of climate change. The main objective of this research paper is to analyze the determinants of farmers’ choice of land management approaches to climate change in drought prone areas of Amhara region: the case of Lay Gayint woreda, Northwestern Ethiopia. The study employed a multistage stratified sampling procedure (purposive and simple random). Data were obtained from 232 sample households. Primary data were collected from households via questionnaires, interview and focus group discussion. The households’ land management strategies to climate change were summarized by using percentage. Binary logistic regression model was also applied to analyze the factors that influence farmers’ choice of land management strategies. The farming households of the study area have attempted to give response to the impacts of climate change; but their capacity to adapt is challenged by a number of factors. Model results indicate that, Agro ecological setting and non-farm activities are found to be the most statistically significant determinants in the adoption of land management strategies. Solving financial problems, improving extension service, providing timely information and establishing early warning system, livelihood diversification and integrated watershed management practice would enable to increase the adaptive capacity of farmers
Geospatial technology with the integration of MCDA to identify potential irrigation site for agricultural land management in Wanka watershed, Northwestern Ethiopia Yegizaw, Endalkachew Sisay; Ejegu, Mulualem Asfaw
Journal of Degraded and Mining Lands Management Vol. 9 No. 1 (2021)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2021.091.3027

Abstract

Irrigation improves the productivity of agriculture in any country. Irrigation is viewed as a fundamental approach to ensure food security, improve crop productivity, income of smallholder farmers, ensure food security, alleviate poverty and improve the economy of the farming community by generating additional income. As a result, the goal of this study was to identify prospective irrigated lands for agricultural land management in the Wanka watershed in northwestern Ethiopia using geospatial technology and multi-criteria decision-making analysis. Identifying sites for surface irrigation for agricultural land management is not a simple task, which needs consideration of many criteria such as slope, soil texture, soil depth, soil drainage, land use/land cover and distance from the water supply were used to determine the best possible location. Each factor was categorized into highly suitable, moderately suitable, marginally suitable and currently not suitable. The final result showed that the watershed had a high opportunity for surface irrigation. About 498 km2 of the watershed's total area is potentially suitable for surface irrigation, whereas the remaining 443 km2 is not. In the research area, there is sufficient land area accessible for surface irrigation development if those locations with highly suitable to marginally suitable areas are properly utilized.
Land management, dynamics and vegetation vulnerability analysis in the Guna-Tana watershed as a predictor of land degradation, using remote sensing data Ejegu, Mulualem Asfaw; Reta, Kinda Gebyahu; Yegizaw, Endalkachew Sisay; Biru, Belay Zeleke; Mekonnen, Debrie Mersha; Wassie, Gebrie Kassa; Tegegne, Melak Abebe; Dirar, Tiku Melak; Dubale, Yosef Gebremikeal
Journal of Degraded and Mining Lands Management Vol. 9 No. 4 (2022)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2022.094.3703

Abstract

The vegetative coverage throughout the world is rapidly changing, which also directly affects the land degradation. Therefore, this study was intended to investigate the vegetation vulnerability analysis triggered by land use/land cover (LULC) dynamics as an indicator of land degradation conditions using Remote Sensing and GIS in Guna-tana watershed. Trend studies and cross-sectional research design was employed, which produces data from the population at a particular point in time and to examine patterns of change with a mixed research approach to examine the degree of influence to measure the sensitivity analysis. A multi-criteria decision evaluation was used to create a vegetation vulnerability map for the research area. The vulnerability model was run using four sets of parameters: closeness to the road, slope, settlement closeness, and land use planning. Landsat imageries of 1995 and 2020 was used to conduct a comparative study of land use pattern. The study area has experienced a sequence of land degradation from 1995 to 2020, according to the results of multitemporal data. Agricultural and built-up lands have increased throughout this time, while forest and shrub land has decreased. The vegetation vulnerability of the area also shows that 19.23% extreme vulnerable and 67.03% very strongly vulnerable which is more than 80% of the area is highly vulnerable to vegetation. Vegetation suitability and land management evaluation is critical for determining the risk of land deterioration, that shows the adverse effects on ecological elements due to a decrease in metabolic capacity and patch disintegration processes. 
Co-Authors Biru, Belay Zeleke Dirar, Tiku Melak Dubale, Yosef Gebremikeal Mekonnen, Debrie Mersha Reta, Kinda Gebyahu Tegegne, Melak Abebe Wale, Workie Mesfin Wassie, Gebrie Kassa Yegizaw, Endalkachew Sisay Zeleke, Menberu Teshome