The role of community-based watershed development in reducing farmers’ vulnerability to climate change and variability in the northwestern highlands of Ethiopia

ABSTRACT

Community-based watershed development (CBWD) has been implemented in Ethiopia since the last three decades. However, the benefits of these watershed development interventions for climate change adaptation are not well documented. This study, therefore, assesses the contributions of CBWD in reducing farmers’ vulnerability to the impacts of climate change and variability in the northwestern highlands of Ethiopia. Data were collected from systematically selected 157 households using questionnaire. The questionnaire consists of questions on climate, ecosystem and households’ livelihood capital. Livelihood Vulnerability Index (LVI) and Inter-governmental Panel on Climate Change Livelihood Vulnerability Index (IPCC-LVI) methods were used to generate vulnerability indices. Vulnerability indices computed for three conserved watersheds were compared with one non-conserved watershed using one-way ANOVA test. LVI score for ecosystem related indicators was significantly low for Adef Wuha compared to the non-conserved watershed. Similarly, LVI scores generated from agriculture, wealth and social indicators were low for Tija Baji and Guansa watersheds. On the other hand, the IPCC-LVI result did not show significant differences in exposure; however, sensitivity scores of conserved watersheds were significantly lower compared to the non-conserved. The adaptive capacities of two conserved watersheds (Guansa and Tija Baji) were also significantly lower as compared to the non-conserved. The overall (composite) vulnerability of watersheds generated from both methods (LVI and IPCC-LVI) showed that the conserved watersheds were less vulnerable to climate change compared to the non-conserved. The findings suggest that CBWD is an important strategy to reduce vulnerability of smallholder farmers to the ongoing and future climate change.     

Variability and trends in rainfall amount and extreme event indices in the Omo-Ghibe River Basin,Ethiopia

This study evaluates variability and trends in rainfall amount and extreme event indices in the Omo-Ghibe River Basin of Ethiopia based on observed records from six stations. Nine daily rainfall indices were defined and analyzed based on the World Meteorological Organization guideline. Sen’s slope estimator and Mann–Kendall’s trend test were used to determine the magnitude and statistical significance of the rainfall changes, respectively. The results show complex patterns of rainfall variability and local-scale trends. Statistically significant increasing changes were observed at Key Afer for most of the indices. On the other hand, the increasing trends in the number of very heavy rainfall events (R20 mm) were statistically significant at three (Jinka, Key Afer and Wolaita Sodo) out of the six stations. On the other hand, significant decreasing trends were found at Sawla for the maximum one day (Rx1 day) and the number of very heavy rainfall event (R20 mm). No systematic trends were found for the number of wet and dry day-related rainfall indices. However, the annual total rainfall averaged for the entire basin and at two stations (Key Afer and Wolaita Sodo) showed statistically significant increasing trends, both at the 0.01 level. Generally, the results of this study contradict with previous studies that reported significant declining trends in annual and Kiremt (main rainy season) rainfall amounts over this part of the country, suggesting the reviving of rainfall during the last two decades. Also, the results of this study agree with previous researches that reported the absence of systematic patterns of trends in daily rainfall indices in different parts of the country. The study has important implications for an effective management of water resources and climate risk management particularly in view of the fact that five hydropower plants and large-scale sugarcane plantations are planned, and some are under construction in the basin.     

The influence of carbon emission disclosure on enterprise value under ownership heterogeneity: evidence from the heavily polluting corporations

Environmental Science and Pollution Research - Under the background that China puts forth the goals of “Emission Peak” and “Carbon Neutrality”, heavily polluting...