10 research outputs found

    Nature and dynamics of climate variability in the uganda cattle corridor

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    The study was conducted in the districts of Nakaseke and Nakasongola stratified into four farming systems of crop dominancy, pastoralists, mixed crop and livestock and fishing. The study was guided by two research questions: (1) how do community residents perceive climate change/variability? (2) What is the trend and nature of climate variability and how does it compare with people’s perceptions? Ninety eight percent (98%) of the respondents reported that the routine patterns of weather and climate had changed in the last 5 to 10 years and it has become less predictable with sunshine hours being extended and rainfall amounts being reduced. This compared well with the analyzed secondary data. Over 78% respondents perceived climate change and variability to be caused by tree cutting other than the known scientific reasons like increase in industrial fumes or increased fossil fuel use. Climate data showed that over the period 1961 to 2010 the number of dry spells within a rainfall season had increased with the most significant increase observed in the first rainfall season of March to May as compared to the season of September to November. The first dry season of June/July to August is short while the second dry season of December to February is long during the study period. The two rainfall seasons of March to May and September to November seem to be merging into one major season from May to November. Temperature data shows a significant increasing trend in mean annual temperatures with the most increase observed in the mean annual minimum temperatures than the maximum temperatures.Key words: Climate variability, community perceptions, Uganda cattle corridor, dry spells

    Characterising food insecurity in pastoral and agro-pastoral communities in Uganda using a consumption coping strategy index

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    We explore the utility of a consumption coping strategy index (CSI) in characterising and assessing the factors influencing household food insecurity. We assessed 53 pastoral and 197 agro-pastoral households in Nakasongola and Nakaseke districts of Uganda, examining the use of 27 consumption coping strategies over a recall time of two 30-day periods, one at the start of a dry season in 2012 and one at the start of a rainy season in 2013. Four categorical food insecurity status measures were established - food secure (CSI 0 to 5) and mildly (CSI 6 to 20), moderately (CSI 21 to 42) and extremely (CSI >42) food insecure. For the dry season, the mean CSI was 29.4 ± 2.59 and 33.6 % of households were food secure, while for the rains, mean CSI was 33.1 ± 2.30 and 14.0 % of households were food secure. The combination of livelihood system, land holdings, number of livestock owned and belonging to a social network explained 9.4 % to 10 % of the variance in household food insecurity for agro-pastoralists, but variance for pastoralists was not explained by these factors. While the only highly significant factor associated with increasing household food insecurity in the dry season was low landholdings, in the rainy season, it was pastoral livelihood, low livestock holdings for agro-pastoralists and non-involvement in social networks. While our model identified a number of factors important in describing household food insecurity, it explained only about 10 % of the variance

    Characterization of Historical Seasonal and Annual Rainfall and Temperature Trends in Selected Climatological Homogenous Rainfall Zones of Uganda

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    There is general lack of scientific consensus on the trend and distribution of annual and seasonal rainfall and temperature in Uganda. This study used both observational and AgMerra rainfall and temperature data for the period 1980-2010 to characterize the trend and variability in seasonal and annual rainfall, maximum and minimum temperatures across 12 different rainfall homogenous zones (K, H, ME, L, J, F, MW, D, E, A1, A2, and I) of Uganda. Trends analysis was done using regression method, while coefficient of variation and ANOVA techniques were used to analyze variability. The results show statistically significant increasing trends (P ≤ 0.05) in annual rainfall amount in zone A1 and a declining trend for zone K (P<0.05)

    The banana microbiome: stability and potential health indicators

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    Characterization of Historical Seasonal and Annual Rainfall and Temperature Trends in Selected Climatological Homogenous Rainfall Zones of Uganda

    No full text
    There is general lack of scientific consensus on the trend and distribution of annual and seasonal rainfall and temperature in Uganda. This study used both observational and AgMerra rainfall and temperature data for the period 1980-2010 to characterize the trend and variability in seasonal and annual rainfall, maximum and minimum temperatures across 12 different rainfall homogenous zones (K, H, ME, L, J, F, MW, D, E, A1, A2, and I) of Uganda. Trends analysis was done using regression method, while coefficient of variation and ANOVA techniques were used to analyze variability. The results show statistically significant increasing trends (P ? 0.05) in annual rainfall amount in zone A1 and a declining trend for zone K (P<0.05)
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