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About The Authors

Mulualem Asfaw Ejegu
ORCID iD Department of Geography and Environmental Studies, Debre Tabor University, Ethiopia
Ethiopia

Assistant Professor in GIS and Remote Sensing

Kinda Gebyahu Reta
Department of Geography and Environmental Studies, Debre Tabor University, Ethiopia
Ethiopia

Ph.D in Geography and Enviromental Studies,

Endalkachew Sisay Yegizaw
ORCID iD Department Geography and Environmental Studies, Debre Tabor University, P.O. Box 272, Debre Tabor, Ethiopia.
Ethiopia

Assistant Professor in Geo-Information Science,

Belay Zeleke Biru
Department of Geography & Environment Studies, Injibara University, Ethiopia
Ethiopia

Ph.D in Geography and Enviromental Studies,

Debrie Mersha Mekonnen
Department of Geography and Environmental Studies, Debre Tabor University, Ethiopia
Ethiopia

MA in Geography and Environmental Studies

Gebrie Kassa Wassie
Department of Geography and Environmental Studies, Debre Tabor University, Ethiopia
Ethiopia

MA in Geography and Environmental Studies

Melak Abebe Tegegne
Department of Geography & Environment Studies, Injibara University, Ethiopia
Ethiopia

MA in Geography and Environmental Studies

Tiku Melak Dirar
Department of Urban Land Administration, Kotebe Metropolitan University, Addis Ababa, Ethiopia.
Ethiopia

MA Urban Land Administration

Yosef Gebremikeal Dubale
Department of Sociology, Debre Tabor University, Ethiopia
Ethiopia

MA in Sociology

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Land management, dynamics and vegetation vulnerability analysis in the Guna-Tana watershed as a predictor of land degradation, using remote sensing data

Mulualem Asfaw Ejegu, Kinda Gebyahu Reta, Endalkachew Sisay Yegizaw, Belay Zeleke Biru, Debrie Mersha Mekonnen, Gebrie Kassa Wassie, Melak Abebe Tegegne, Tiku Melak Dirar, Yosef Gebremikeal Dubale
  J. Degrade. Min. Land Manage. , pp. 3703-3714  
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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. 


Keywords


GIS; Guna-Tana; RS; vegetation; vulnerability

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References


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