Climate change is a serious threat to the livelihoods of rural communities, particularly in mountainous areas because they are very sensitive to such changes. In this study, we assessed the household determinants to climate change adaptation drawing from a case study of agricultural adaptation in the Mount Rwenzori area of South Western Uganda. The study identified the major adaptation practices that are adopted by farmers to cope with the impacts of climate change and using available on-farm technologies. A total of 143 smallholder farmers were sampled and interviewed using field based questionnaires, field observations, and key informant interviews. Data was cleaned, entered and analysed using SPSS and Stata software for descriptive statistics. Thereafter, a Multinomial logistic regression model was used to assess the drivers of farmers’ choice for adaptation practices, factors influencing the choice of adaptation, and barriers. The major adaptation practices that were identified included; use of different crop varieties, tree planting, soil and water conservation, early and late planting, and furrow irrigation. Discrete choice model results indicated the age of the household head, experience in farming, household size, climate change shocks, land size, use of agricultural inputs, landscape position (location), and crop yield varied significantly (p > 0.05), which influenced farmers’ choice of climate change adaptation practices. The main barriers to adaptation included inadequate information on adaptation methods and financial constraints, leading us to conclude that contextual adaptation practices are more desirable for adoption to farmers. Adapting to climate change needs support from government and other stakeholders, however the implementation is more successful when appropriate and suitable choices are employed.

With climate change, maize production is becoming more constrained by limited water availability especially in rainfed production systems. Climate Smart Agriculture (CSA) practices have potential to enhance water availability and water use efficiency in rainfed production systems, but their efficiencies have not been adequately investigated. The study evaluated the performance of permanent planting basins (PPB), mulching (M), and halfmoon pits (HM) on soil moisture storage, maize yield, and water use efficiency in a maize cropping system for the sub-humid areas of Uganda for three cropping seasons in Albert region. The control treatment consisted of bare soil as the existing conventional farming practice without any CSA practice. Maize growth parameters and soil moisture storage were monitored and evaluated in each cropping season and CSA treatment. The maize yield, water use efficiency, and evapotranspiration (ET), were determined in each CSA treatment. Results showed that CSA practices significantly increased (P < 0.05) total soil water storage (1–12%) than the control treatment. It was also noted that; the use of M, PPB, and HM increased the water use efficiency by 9 – 68% and 8 – 66% of grain yield compared to the control in the three growing seasons. Our results indicate that even under unreliable and limited precipitation in sub-humid regions, the studied CSA practices indicate a high possibility to increase maize productivity than conventional farming practices (control). These findings are critical as climate change continues to affect maize productivity in rainfed farming systems where there limited supplemental water alternative sources for smallholder farmers. The adoption of CSA practices will enhance the resilience of maize production in sub-humid regions.

Improved understanding of the influence of climate variability on eating habits is required to manage health outcomes that could be produced. Agriculture production is the main source of income to people in Rufiji district, where communities produce food for household and also for income. Effects of climate variability and weather extremes include occurrence of floods and prolonged dry seasons, which are recently reported to be very frequent in Africa continent, affecting food production. Prolonged dry seasons as well as frequent floods have been reported to destroy cultivated food crops in Rufiji district. However, there is little evidence on climate variability effects on household food security and their eating habits in Tanzania. Therefore, this study assessed the influence of climate variability impacts such as prolonged dry seasons and floods on the eating habits of Tanzanian rural households. Study findings showed that respondents recognized changes in seasonal trends such as rainfall pattern and increase in temperature in the area. Drought and floods reduce food production and cause shortages in households. Low and poor harvest of food crops is the major contributing factor in their farms of rice and maize, the main staple food crops grown amidst prolonged dry seasons. They reported existence of household food shortage which was not there 10 years ago. Participants developed adaptation mechanisms that included reducing food quantity, eating of new meals which were not eaten before as a main meal such as cooked unripe mangoes and stiff porridge. Household members decided to change eating habits as an adaptation strategy to the situation of food shortage. Some discussants acknowledged reducing number of meals, eating two meals a day instead of three or four as it was 10 years ago. Climate variability has led to reduced amount of annual rainfall, thus affecting food productivity and consequently food shortages and changes in dietary habits among the people in Rufiji. Additional research is warranted to assess the impacts of climate variability on nutritional quality of meals.

Agricultural productivity in Rwenzori mountain area is declining and undermining food security in the region. This trend has been accelerated in recent years due to rapid changes in climatic conditions. Climate change adaptation and coping practices are critical to identifying vulnerable entities and developing practical, well targeted adaptation practices and policies to improve agriculture productivity. However, it is currently poorly understood and not clear how to categorise and implement climate change adaptation practices. Little information is available on their potential impact and viability. This study was conducted to establish the viability and effectiveness of climate change coping and adaptation practices at different landscape positions in Rwenzori mountain areas of south western Uganda. Household data were collected at three landscape positions on farm households and soil samples were collected from 0-15 cm and 15-30 cm depth under major crops (banana, coffee, cotton and maize). Major adaptation practices were categorized using a developed field ranking approach. Data analysis was done using Genstat software discovery version 13 for soil and yield information and SPSS version 17.0 for socio-economic data. All climate change adaptation practices identified in the study area were at different landscape positions but their responses differed significantly between locations (P>0.05). The relationship between landscape position and climate change adaptation practices, largely depending on the type of livelihood emphasized in each location and the predominant crop enterprises grown.