Global Hunger Index 2019
The 2019 Global Hunger Index (GHI) focuses on climate change - an increasingly relevant threat to the world's hungry and vulnerable people that requires immediate action.
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When you think about humanitarian action, extreme images probably spring to mind: food distributions in famine-stricken areas, or camps of temporary shelters built in the wake of some catastrophic natural disaster, for example.
However, a significant amount of Concern Worldwide’s work is ensuring that these extreme responses aren’t needed in the first place.
In this blog, Concern’s Dom Hunt introduces us to the concept of Disaster Risk Reduction (DRR), and more generally, to how climate change is affecting the way Concern has to work.
DRR – disaster risk reduction – is the process of protecting the livelihoods and assets of communities and individuals from the impact of hazards.
The hazards can be natural or human derived, and include earthquakes, floods, cyclones, droughts, price spikes, conflict and contagious diseases. DRR limits the negative impacts of these events by working to reduce their size, strength or how often they occur, and building the capacity of the people exposed to these hazards to anticipate, survive, and recover from them.
Disasters come in all shapes and sizes, and so the tools we use to reduce risk are just as varied.
DRR can include:
DRR always starts with a risk analysis – and the projects that Concern runs under the disaster risk reduction banner are always context specific, and address particular hazards in particular places.
Different communities deal with risk in different ways, and are exposed to different hazards in different ways.
Hazards are influenced by lots of factors such as policies, population demographics and climate change, and these risks can change through time.
This complexity must be understood before any meaningful intervention is made, and this is the role of a risk analysis
In most countries where we work, we can’t expect any greater depth of analysis other than on a broad national, or sometimes regional, level.
We know, for example, which areas of Kenya are likely to suffer from drought or flash floods – but this doesn’t tell us the site-specific details we need – such as how well the borehole operates in drought years, or exactly when a certain river is likely to flood and to what degree.
We tackle this problem by performing a community-level risk analysis.
Here, we look into hazard dynamics at the community level, starting with an identification of all hazards that may happen, and then understanding them in greater detail.
We also analyse vulnerability: who is most impacted by hazards and what the reasons are for the differing impacts on different people. We also look at capacity: what the community, government, other institutions, and Concern can or are doing to limit these risks.
Understanding the risk from the community perspective is critically important. Here are some examples:
Indigenous perspectives and knowledge are doubtlessly important shapers of the way we work, and ultimately, the people who live in risk should have the last word on how risk is addressed and reduced.
Indigenous knowledge can also be used for early warnings.
For example, I was told of a type of snail in Montería, Colombia, that tends to congregate in groups on the side of houses prior to the onset of the flood season. Local people have noticed that they’ll appear higher up the sides of buildings in some years than others – which corresponds to years with higher floods.
In Zambia, farmers have noticed that the times that certain trees flower, or when certain birds migrate, also gives them advanced warning of season change and whether the year will be a ‘good’ or a ‘bad’ one.
With climate change, however, these indigenous signals derived from generations of observation may be changing; but this uncertainty can also be captured and analysed in a risk analysis, and still used for planning.
In the Haor region of Bangladesh seasonal floods can destroy harvests if they happen earlier than expected, when the crops are still in the ground. The onset of seasonal floods is increasingly unpredictable, so one solution is to introduce fast maturing rice, which will come to maturity before the point when there is a risk of flooding – then our inability to accurately predict a flood matters less.
The increasing unpredictability of the natural world, as a result of climate change, environmental degradation and so on, does not render indigenous knowledge redundant, but it does place an extra responsibility on us to ensure that additional information is brought into the community, boosting their awareness of some hazards that may not have happened in living memory or increasing the understanding of complicated issues like climate change.
Armed with better information communities will still be in the position to make informed decisions, and help to guide our work in reducing disaster risk.
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