Your search found 5 records
1 Ali, H.; Madramootoo, C. .A; Abdel-Dayem, S. 2000. Management of Lake Qaroun for salinity control. ICID Journal, 49(1):1-16.
Water resource management ; Water quality ; Drainage ; Salinity control ; Simulation models ; Water users ; Conflict / Egypt / Lake Qaroun / Fayoum Basin
(Location: IWMI-HQ Call no: PER Record No: H026284)
2 Ali, H.; Madramootoo, C. A.; Abdel-Dayem, S.; Amer, M. H. 2000. Water and salt balance model of Lake Qaroun, Egypt. ICID Journal, 49(3):25-39.
Water quality ; Measurement ; Estimation ; Water resources ; Water balance ; Simulation models ; Computer models ; Salinity control ; Evaporation ; Waterlogging / Egypt / Lake Qaroun / Fayoum Basin
(Location: IWMI-HQ Call no: PER Record No: H026573)
3 Ali, H.; Descheemaeker, Katrien; Steenhuis, T. S.; Pandey, S. 2011. Comparison of land use and land cover changes, drivers and impacts for a moisture-sufficient and drought-prone region in the Ethiopian highlands. Experimental Agriculture, 47(Supplement S1):71–83. [doi: https://doi.org/10.1017/S0014479710000840]
Land use ; Land cover ; Drought ; Arid lands ; Livestock ; Crop production ; Mixed farming ; Remote sensing / Ethiopia / Lenche Dima Watershed / Kuhar Michael Watershed
(Location: IWMI HQ Call no: e-copy only Record No: H043515)
(1.00 MB)
Land use and land cover changes are driven by human actions and, in turn, drive changes that alter the availability of products and services for people and livestock. For proper planning, these cause-and-effect interrelations need to be understood. This is especially important for Ethiopia where the resource base is declining and should be improved in order to feed the growing population. To better understand these interrelations,we studied trends in the natural resource base over a 35-year period for two contrasting sites in the Ethiopian Highlands: semi-arid and water-short Lenche Dima, and sub-humid and moisture-sufficient Kuhar Michael. Information was obtained using time-series satellite images, geographical positioning system, a socio-economic survey and a document review. Results showed that for sub-arid Lenche Dima there were minimal changes in land use and land cover patterns, while in water-sufficient Kuhar Michael cropland greatly increased at the expense of the grazing land and bare soil. At the same time land holding size and cattle numbers decreased in Lenche Dima while they remained the same in Kuhar Michael, although overall land holdings remained larger in Lenche Dima than in Kuhar Michael. This study thus found large differences in development of agriculture since the 1970s: intensification of agriculture is possible in the water-sufficient sub-humid climate by displacing animal husbandry with high value crops that need irrigation during the dry monsoon season. This is not possible for the semi-arid area where water is the limiting factor in production even if a market is close by. Agriculture in the semi-arid areas also requires larger land holdings because of the risk of droughts and low yields during some years. This comparative analysis suggests that without sufficient water, the shift from subsistent to commercial market-driven agriculture cannot be easily accomplished.
4 Ali, H.; Menza, M.; Hagos, Fitsum; Haileslassie, Amare. 2022. Impact of climate-smart agriculture adoption on food security and multidimensional poverty of rural farm households in the Central Rift Valley of Ethiopia. Agriculture and Food Security, 11:62. [doi: https://doi.org/10.1186/s40066-022-00401-5]
Climate-smart agriculture ; Household food security ; Poverty ; Conservation agriculture ; Integrated soil fertility management ; Diversification ; Climate change ; Small-scale irrigation ; Sustainable Development Goals ; Socioeconomic environment / Ethiopia / Central Rift Valley
(Location: IWMI HQ Call no: e-copy only Record No: H051668)
https://agricultureandfoodsecurity.biomedcentral.com/counter/pdf/10.1186/s40066-022-00401-5.pdf
https://vlibrary.iwmi.org/pdf/H051668.pdf
https://vlibrary.iwmi.org/pdf/H051668.pdf
(1.51 MB) (1.51 MB)
Background: Climate change has perverse efects on the natural resource base and agricultural productivity, negatively afecting the well-being of households and communities. There are various attempts by the government and NGOs to promote climate-smart agricultural (CSA) practices to help farmers adapt to and mitigate these negative impacts. This study aimed to identify CSA practices widely adopted in the study area and examined their impacts on rural farm households’ food security and multidimensional poverty. A three-stage proportional to size sampling procedure was followed to select four districts out of nine districts, and 278 households were randomly selected from two kebeles from each district. A cross-sectional data of the 2020–2021 cropping season were collected using a structured and pretested survey questionnaire. The food consumption score, dietary diversity score, food insecurity experience scale, and multidimensional poverty index, constructed out of 9 indicators, were used to assess households’ food security and poverty status, respectively. A multinomial endogenous switching regression model was used to assess average treatment efects on these outcome indicators.
Results: Widely adopted CSA practices are conservation agriculture, soil fertility management, crop diversifcation, and small-scale irrigation. The results illustrated that adopter households on average showed more food consumption score, dietary diversity score, and less food insecurity experience scale than non-adopters. The results also showed that CSA adopter households, on average, have a low deprivation score in multidimensional poverty than non-adopter households. Accelerating wider adoption of CSA through up-scaling incentives is quite important.
Conclusion: This study showed that CSA adoption improves households’ food security and reduces multidimensional poverty. We conclude that up-scaling of CSA practices is important for contributing to the achievement of SDG1, SDG2 and SDG13 targets.
Results: Widely adopted CSA practices are conservation agriculture, soil fertility management, crop diversifcation, and small-scale irrigation. The results illustrated that adopter households on average showed more food consumption score, dietary diversity score, and less food insecurity experience scale than non-adopters. The results also showed that CSA adopter households, on average, have a low deprivation score in multidimensional poverty than non-adopter households. Accelerating wider adoption of CSA through up-scaling incentives is quite important.
Conclusion: This study showed that CSA adoption improves households’ food security and reduces multidimensional poverty. We conclude that up-scaling of CSA practices is important for contributing to the achievement of SDG1, SDG2 and SDG13 targets.
5 Ali, H.; Menza, M.; Hagos, Fitsum; Haileslassie, Amare. 2023. Impact of climate smart agriculture on households’ resilience and vulnerability: an example from Central Rift Valley, Ethiopia. Climate Resilience and Sustainability, 2(2):e254. [doi: https://doi.org/10.1002/cli2.54]
Climate-smart agriculture ; Households ; Climate resilience ; Vulnerability ; Indicators ; Smallholders ; Farmers ; Climate change ; Agricultural practices ; Mitigation ; Rural areas ; Livestock ; Food consumption / Africa South of Sahara / Ethiopia / Central Rift Valley / Arsi Negele / Dugda / Meskan / Heban Arsi
(Location: IWMI HQ Call no: e-copy only Record No: H051959)
https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/cli2.54
https://vlibrary.iwmi.org/pdf/H051959.pdf
https://vlibrary.iwmi.org/pdf/H051959.pdf
(0.35 MB) (355 KB)
Climate change is causing serious challenges for smallholder farm households, especially in sub-Saharan Africa. The overarching objectives of this study are as follows: (i) to estimate household resilience and vulnerability indices, (ii) identify factors that explain these indices and (iii) to examine the impact of climate-smart agriculture (CSA) on households’ resilience and vulnerability, and (iv) to identify which CSA package performs better in enhancing resilience and reducing vulnerability. For this study, 278 farm households from 4 districts and 8 kebeles from the Central Rift Valley (CRV) of Ethiopia were randomly selected using a three-stage proportional to size sampling procedure. Cross-sectional data applying a structured and pretested survey questionnaire was collected for 2020/21 production season. Household resilience and vulnerability indices were estimated using resilience index and measurement analysis and indicators approaches, respectively. Multinomial endogenous switching regression was used to estimate the average treatment effects (ATEs) of the adoption of CSA practices on households’ resilience and vulnerability. The results show that livestock holding, land size, level of education, and state of food consumption are major explaining factors of resilience, whereas educational level of households, livestock holding, and access to credit are found to be major factors explaining vulnerability. The estimated ATEs indicate that households which adopted more diversified combinations of CSA packages were more resilient and less vulnerable than non-adopter households. The impacts of soil fertility management and conservation agriculture practices have better performance in improving resilience, whereas conservation agriculture and small-scale irrigation performed better in reducing the vulnerability of rural households in CRV. Boosting resilience and reducing vulnerability, hence, requires scaling up CSA among smallholder farmers by diversifying and raising farm households’ income, educational status, and livestock holding.
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