West Africa has been described as a hotspot of climate change. The reliance on
rain-fed agriculture by over 65% of the population means that vulnerability to
climatic hazards such as droughts, rainstorms and floods will continue. Yet, the
vulnerability and risk levels faced by different rural social-ecological systems
(SES) affected by multiple hazards are poorly understood. To fill this gap, this
study quantifies risk and vulnerability of rural communities to drought and
floods. Risk is assessed using an indicator-based approach. A stepwise
methodology is followed that combines participatory approaches with statistical,
remote sensing and Geographic Information System techniques to develop community
level vulnerability indices in three watersheds (Dano, Burkina Faso; Dassari,
Benin; Vea, Ghana). The results show varying levels of risk profiles across the
three watersheds. Statistically significant high levels of mean risk in the Dano
area of Burkina Faso are found whilst communities in the Dassari area of Benin
show low mean risk. The high risk in the Dano area results from, among other
factors, underlying high exposure to droughts and rainstorms, longer dry season
duration, low caloric intake per capita, and poor local institutions. The study
introduces the concept of community impact score (CIS) to validate the
indicator-based risk and vulnerability modelling. The CIS measures the
cumulative impact of the occurrence of multiple hazards over five years. 65.3%
of the variance in observed impact of hazards/CIS was explained by the risk
models and communities with high simulated disaster risk generally follow areas
with high observed disaster impacts. Results from this study will help disaster
managers to better understand disaster risk and develop appropriate, inclusive
and well integrated mitigation and adaptation plans at the local level. It
fulfills the increasing need to balance global/regional assessments with
community level assessments where major decisions against risk are actually
taken and implemented.