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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
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.Â