Sensitivity analysis of the parameter-efficient distributed (PED) model for discharge and sediment concentration estimation in degraded humid landscapes

Sustainable development in degraded landscapes in the humid tropics require effective soil and water management practices. Coupled hydrological‐erosion models have been used to understand and predict the underlying processes at watershed scale and the effect of human interventions. One prominent tool is the parameter‐efficient distributed (PED) model, which improves on other models by considering a saturation‐excess runoff generation driving erosion and sediment transport in humid climates. This model has been widely applied at different scales for the humid monsoonal climate of the Ethiopian Highlands, with good success in estimating discharge and sediment concentrations. However, previous studies performed manual calibration of the involved parameters without reporting sensitivity analyses or assessing equifinality. The aim of this article is to provide a multi‐objective global sensitivity analysis of the PED model using automatic random sampling implemented in the SAFE Toolbox. We find that relative parameter sensitivity depends greatly on the purpose of model application and the outcomes used for its evaluation. Five of the 13 PED model parameters are insensitive for improving model performance. Additionally, associating behavioural parameter values with a clear physical meaning provides slightly better results and helps interpretation. Lastly, good performance in one module does not translate directly into good performance in the other module. We interpret these results in terms of the represented hydrological and erosion processes and recommend field data to inform model calibration and validation, potentially improving land degradation understanding and prediction and supporting decision‐making for soil and water conservation strategies in degraded humid landscapes

Barriers to implementing poverty alleviation through livelihood strategies: A participatory analysis of farming communities in Ethiopia?s upper Blue Nile basin

Poverty is multi-dimensional global challenge that impedes individual and community capacities to satisfy basic needs. These capacities are shaped by locally configured institutional and biophysical processes that are often hidden from external researchers and practitioners. To explore this worldwide aspect, we adopt participatory rural appraisal (PRA) methods to expose barriers to implementing livelihood strategies to address poverty in Ethiopia’s upper Blue Nile basin, where 85 % of the population are subsistence farmers reliant on local ecosystem services (ES). We identify local barriers to poverty alleviation in three steps. First, we classify major ES-livelihood interrelationships among communities of Debre Mawi catchment in upper Blue Nile. Secondly we assess ongoing struggles in these interrelations using combined biophysical and social assessment criteria to evaluate how poverty relates to current patterns of ES management. The analysis identifies complex interdependencies between livelihoods and regulating (crop pest controls), provisioning (water, land, and feed availability, soil fertility) and cultural (top-down ES management, population growth) ES that create bottlenecks to effectively ‘lock in’ poverty. Thirdly, we identify potential new ES management strategies, focused on dry season water availability. We conduct participatory field experiments on rooftop water harvesting to show this is a promising approach for increasing water availability to enhance agricultural production. Depending on the rooftop area, our modelling suggests that farmers can improve household income by US$136– 14,876 from 5 months beef fattening and US$69–7704 from 4 months sheep fattening. Except these specific livelihood strategies, the findings are replicable to the world’s ES-dependent regions

Prevalence and associated factors of khat use among university students in the University of Gondar, northwest Ethiopia

Habitual khat use has negative psychological, social, sexual, and economic consequences. Therefore, this study was aimed to assess the prevalence of khat use and associated factors among university students in the University of Gondar. Institution-based cross-sectional study was conducted from February to September 2011. Multistage sampling techniques were used to select the study participants. Anonymous self-administered questionnaire was used to collect the data. Epi Info and SPSS softwares were used to enter and analyze the data. Binary logistic regression was used to identify the determinant factors. Independent two-sample t test was employed to compare academic performance between khat chewers and non-chewers. Odds ratio with 95% confidence interval was used to assess the strength of the association. P-valu

Predicting shallow groundwater tables for sloping highland aquifers

While hydrological science has made great strides forward during the last 50 years with the advance of computing power and availability of satellite images, much is unknown about the sustainable development of water for irrigation, domestic use, and livestock consumption for millions of households in the developing world. Specifically, quantification of shallow underground water resources for irrigation in highland regions remains challenging. The objective is to better understand the hydrology of highland watersheds with sloping hillside aquifers. Therefore, we present a subsurface flow model for hillside aquifers with recharge that varied from day to day. Recharge to the aquifer was estimated by the Thornthwaite Mather procedure. A characteristic time was identified for travel time of water flowing from the upper part of the hillside to the river or well. Using the method of characteristics, we found that the height of shallow groundwater level can be predicted by determining the total recharge over the characteristic time divided by drainable porosity. We apply the model to farmer‐dug wells in the Ethiopian highlands using observed rainfall, potential evaporation, and a fitted travel time. We find that the model performs well with maximum water table heights being determined by the soil surface and minimum heights by the presence or absence of volcanic dikes downhill. Our application shows that unless the water is ponded behind a natural or artificial barrier, hillslope aquifers are unable to provide a continuous source of water during the long, dry season. This clearly limits any irrigation development in the highlands from shallow sloping groundwater

Fit-for-purpose land administration: lessons from urban and rural Ethiopia

Lessons for designing fit-for-purpose land administration and land management activities, where the stated purposes are poverty alleviation, food security, and good governance, are provided. Contemporary developments from urban and rural Ethiopia provide the empirical basis: data is synthesised from fieldwork and other research activities undertaken between 2011 and 2013. With its large population and important geopolitical location, Ethiopia will continue to act as a yardstick for measuring the success of the global development agenda, particularly in Eastern Africa. Observations from training sessions conducted with cadastral and urban planning experts in Addis Ababa reveal challenges and opportunities regarding capacity development for urban land administration, urban land markets, and state land management. From the city of Bahir Dar, an alternative perspective of urban land administration is provided: the presented results shed light on the varying quality of cadastral development, but also the positive and negative impacts of cadastral implementation. Meanwhile, results from Dilla Town reveal the opportunity to link cadastral development to other infrastructure development activities (e.g. road construction and upgrade). The case also reveals the ongoing tension between ensuring adequate compensation payments relating to land acquisition, whilst also delivering a broader community benefit. Outputs from exploratory design work on the potential for land consolidation in the Amhara region are also articulated. The status of cadastral development in rural areas is revealed, along with future challenges for using cadastral data in land consolidation activities. Overall, the synthesised studies expose how fit-for-purpose ideologies are increasingly informing Ethiopian cadastral design, and under what conditions these designs can support poverty alleviation, food security, and good governance