| dc.description.abstract | In the recent years, Uganda has been experiencing drought incidences which are increasing in the
intensity and frequency due to natural resource degradation, population pressure, development and
climate change. Thousands of people have been affected, with massive displacement occurring
(GOU, 2007). There is growing demand for spatially explicit information among stakeholders
across public and private institutions regarding vulnerability to Agricultural Drought at the local
scale for implementation of long term drought management measures. This study was conducted
over all districts in Uganda, to determine the Agricultural drought indicative parameters and to
determine the spatial variability of the Agricultural Drought in the entire country and, thereby
identify vulnerable hotspots. A biophysical and socio-economic indicator based integrated
vulnerability assessment technique was used to map Agricultural Drought vulnerability. Indicators
were generated and analyzed under three components of vulnerability, namely exposure,
susceptibility and adaptive capacity; and finally aggregated into a single vulnerability index. The
values of all indicators were normalized by considering their functional relationship with
vulnerability, and factor analysis was then used to assign weights to all indicators. The Agricultural
Drought vulnerability index (ADVI) was finally determined from the weighted sum of all
indicators and mapped over the entire country. The districts in the northern region and some parts
of north-eastern region had high to extreme vulnerability to Agricultural drought; while districts
in the south- western part of the country were the least vulnerable. The rest of the districts had
mild and moderate vulnerability to Agricultural Drought. This study shows that vulnerability
mapping is crucial in determining the varying degrees of vulnerability of different localities, and
generating information that can help researchers, policy makers, private and public institutions in
formulating site-specific adaptation strategies and prioritizing adaptation investments to the most | en_US |
