Uganda is vulnerable to climate change as most of its agriculture is rain-fed; agriculture is also the backbone of the economy, and the livelihoods of many people depend upon it. Variability in rainfall may be reflected in the productivity of agricultural systems and pronounced variability may result in adverse impacts on productivity. It is therefore imperative to generate agronomically relevant seasonal rainfall and temperature characteristics to guide decision-making. In this study, historical data sets of daily rainfall and temperature were analysed to generate seasonal characteristics based on monthly and annual timescales. The results show that variability in rainfall onset dates across Uganda is greater than the variabili...
PhD. (Environmental Management)Climate change and variability has rapidly emerged as one of the most...
This study examined the impact of climate variability on rain-fed rice production in the northern ag...
In this article, we use spatially granular climate data merged with four waves of household survey d...
Uganda is vulnerable to climate change as most of its agriculture is rain-fed; agriculture is also t...
Smallholder farmers in Uganda face a wide range of agricultural production risks. Climate change and...
Abstract Background Climate change poses severe threats to smallholder farmers' agricultural livelih...
The study examined the effect of climate change on agricultural crop returns in Uganda using the Ric...
Rainfed agriculture is Uganda's mainstay across the different regions of its territory. Farmland are...
False start of the growing season (Fsos) is a component of the onset variability related to agronomi...
Uganda with its fragile ecosystem, large-scale human activities, and increasing population pressure,...
The study was conducted in the districts of Nakaseke and Nakasongola stratified into four farming sy...
Semi-arid areas show climatic variability on a spatio-temporal scale. There are few studies on the l...
Long-term trend analysis at local scale for rainfall and temperature is critical for detecting clima...
This study assessed the extent of rainfall trends and variability in Eastern Uganda and implications...
Rising temperatures due to climate change pose a significant threat to agricultural systems and the ...
PhD. (Environmental Management)Climate change and variability has rapidly emerged as one of the most...
This study examined the impact of climate variability on rain-fed rice production in the northern ag...
In this article, we use spatially granular climate data merged with four waves of household survey d...
Uganda is vulnerable to climate change as most of its agriculture is rain-fed; agriculture is also t...
Smallholder farmers in Uganda face a wide range of agricultural production risks. Climate change and...
Abstract Background Climate change poses severe threats to smallholder farmers' agricultural livelih...
The study examined the effect of climate change on agricultural crop returns in Uganda using the Ric...
Rainfed agriculture is Uganda's mainstay across the different regions of its territory. Farmland are...
False start of the growing season (Fsos) is a component of the onset variability related to agronomi...
Uganda with its fragile ecosystem, large-scale human activities, and increasing population pressure,...
The study was conducted in the districts of Nakaseke and Nakasongola stratified into four farming sy...
Semi-arid areas show climatic variability on a spatio-temporal scale. There are few studies on the l...
Long-term trend analysis at local scale for rainfall and temperature is critical for detecting clima...
This study assessed the extent of rainfall trends and variability in Eastern Uganda and implications...
Rising temperatures due to climate change pose a significant threat to agricultural systems and the ...
PhD. (Environmental Management)Climate change and variability has rapidly emerged as one of the most...
This study examined the impact of climate variability on rain-fed rice production in the northern ag...
In this article, we use spatially granular climate data merged with four waves of household survey d...