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1 Habtu, S.; Erkossa, Teklu; Froebrich, J.; Tquabo, F.; Fissehaye, D.; Kidanemariam, T.; Xueliang, Cai. 2020. Integrating participatory data acquisition and modelling of irrigation strategies to enhance water productivity in a small-scale irrigation scheme in Tigray, Ethiopia. Irrigation and Drainage, 69(S1):23-37. (Special issue: Innovations in Irrigation Systems in Africa) [doi: https://doi.org/10.1002/ird.2235]
Irrigation schemes ; Small scale systems ; Water productivity ; Water balance ; Water conservation ; Water use ; Crop yield ; Participatory approaches ; Models ; Farmers ; Maize ; Barley ; Social aspects ; Data management ; Monitoring ; Biomass / Ethiopia / Tigray
(Location: IWMI HQ Call no: e-copy only Record No: H048614)
(0.93 MB) (952 KB)
Application of participatory modelling to water-saving strategies in smallholder farming is rare. Farmer-preferred and efficient strategies were identified through participatory modelling. The farmers' basin irrigation and scheduling (I), farmers' scheduling with furrow strategy (II), farmers' scheduling with alternate furrow strategy (III) and scheduling at 55% maximum allowable depletion (MAD) (IV) were evaluated for maize (Zea mais) and barley (Hordeum vulgare) using the FAO AquaCrop model. The results showed that I resulted in over-irrigation for maize and under-irrigation for barley, while IV resulted in maximum yield (8.6 t ha-1 for maize and 2 t ha-1 for barley) with maximum (1.8 kg m-3) and minimum (0.8 kg m-3) water productivity of maize under IV and I, respectively. A shift from I to IV (most preferred strategy by farmers) can save 8440 mm of water, which can possibly bring back 18.5 ha of land into irrigation. It is essential to interact with farmers on a basis of mutual comprehension to increase their trust and to lay a base for discussion, awareness raising and decision making. The transdisciplinary approach, Community of Practice (CoP) and Learning Practice Alliance (LPA) were appropriate platforms for participation. The increased crop yield and water productivity may contribute to ecological and economical sustainability and social equity.
2 Marie, M.; Yirga, F.; Haile, M.; Tquabo, F.. 2020. Farmers' choices and factors affecting adoption of climate change adaptation strategies: evidence from northwestern Ethiopia. Heliyon, 6(4):e03867. [doi: https://doi.org/10.1016/j.heliyon.2020.e03867]
Climate change adaptation ; Farmers ; Strategies ; Soil conservation ; Water conservation ; Mixed cropping ; Mixed farming ; Irrigation ; Socioeconomic environment ; Households ; Farm income ; Market access ; Policies ; Models / Ethiopia / Gondar Zuria
(Location: IWMI HQ Call no: e-copy only Record No: H049687)
https://www.sciencedirect.com/science/article/pii/S240584402030712X/pdfft?md5=36b5cdd951cdd0d380b2647aa56a6960&pid=1-s2.0-S240584402030712X-main.pdf
https://vlibrary.iwmi.org/pdf/H049687.pdf
https://vlibrary.iwmi.org/pdf/H049687.pdf
(1.31 MB) (1.31 MB)
Climate change is a major environmental and socioeconomic challenge in Ethiopia in recent decades. The study site is one of the climate change prone areas affected by climate variability and extreme events. Therefore, a better understanding of area-specific and adaptation is crucial to develop and implement proper adaptation strategies that can alleviate the adverse effects of climate change. Therefore, this work was aimed to identify determinants of farmers' adoption of climate change adaptation strategies in Gondar Zuria District of northwestern Ethiopia. Primary data were collected through semi-structured questionnaires, observation, and interviews. Besides, the secondary data were also obtained from journal articles, reports, governmental offices, and the internet. The Multinomial and Binary logistic regression models with the help of the Statistical Package for Social Sciences (SPSS) (21th edition) were used to analyze the data. The multinomial logistic regression model was used to estimate the influence of the socioeconomic characteristics of sample households on the farmer's decision to choose climate change adaptation strategies. The result showed that age, gender, family size, farm income, and farm size had a significant influence on the farmers' choice of climate change adaptation strategies. The result also revealed that crop failure, severe soil erosion and shortages of water are major climate change-related problems than others. In order to alleviate these problems, farmers have implemented mixed farming, mixed cropping, early and late planting (changing sowing period), use of drought-resistant crop varieties, application of soil and water conservation techniques, shifting to non-farm income activities and use of irrigation. In contrast, access to climate information, total annual farm income, and market access variables are significant adoption determinants of climate change adaptation strategies by farmers' in the study site. Therefore, we recommend future adaptation-related plans should focus on improving climate change information access, improving market access and enhancing research on the use of rainwater harvesting technology.
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