Water, Food Security, and Climate Change in Africa - Edward R. Carr Department of Geography University of South Carolina
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Water, Food Security, and Climate Change in Africa Edward R. Carr Department of Geography University of South Carolina
Representing Africa: Crisis narratives • ―Population growth will greatly increase the amount of food needed to adequately feed sub-Saharan Africa's people…Sub-Saharan Africa’s population is projected to more than double from 856 million today to about 2 billion in 2050‖ (Population Reference Bureau, Population and Food Security: Africa's Challenge) • More than one in four Africans — close to 218 million people in 2006–2008 — are undernourished, and food security is precarious. Until the situation improves, the lives, livelihoods and human development prospects of millions of Africans will remain at risk (Africa Human Development Report 2012, http://www.afhdr.org/AfHDR/documents/chapter1.pdf)
Water and Climate Change: Complicating Crisis • The ―looming threat of climate change‖ (Making Development Climate Resilient: A World Bank Strategy for Sub- Saharan Africa World Bank, Sustainable Development Department. 2009. p.xvii) • Intersection with crisis narratives – Exacerbating existing stresses • Majority of African livelihoods are natural resource/climate dependent – Impacting the most vulnerable
Challenging the Crisis Narrative: Think about the evidence • Crisis narratives reference very uncertain empirical observations – IPCC AR5: main finding is that empirical observations of rainfall trends are highly variable, even within sub-regions of Africa • Crisis narratives reference very uncertain models – No consensus among the 17 GCMs used in AR4 on the direction of precipitation change in SSA – GCMs work at global/regional scale, not local • Better for temperature than precipitation – To downscale requires local data • Absence of empirical observational data • FEWS-NET in East Africa Our evidence for future crisis (or not) largely proceeds from uncertain models populated by absent or contradictory empirical data
Challenging the Crisis Narrative: Think about timescales • Crisis narratives often reference 50-100 year timelines – By 2020–2049, an increase in mean annual maximum temperature would reach 2.3°C under scenario B2 and 2.6°C under A2 in Sahel (Republic of Niger, 2009). • The uncertainty in the models on this time horizon is huge, even at global scales – At the regional scale, uncertainty is tremendous • Not effective for planning
Challenging the Crisis Narrative: The global poor aren’t stupid • Most crisis narratives are predicated on static human/social responses – Farmers adjust – Expectations change Perhaps the most important – Markets shift thing we can work on right now – Technology changes • Very poor understandings of events on the ground – We simply don’t know what people are doing – We know little about what drives livelihoods/adaptation decision-making – WEIRD assumptions (white, educated, industrialized, rich, democractic)
What is happening on the ground? • Data we have is over-aggregated – Most panel survey data is by household – Single member reporting • Hugely distorted results
What we can’t see, we can’t address • Over-aggregated data obscures different vulnerabilities – National – Community – Household • Programs (inadvertently) pick winners and losers • Programs fail to address critical problems
Mali’s Agrometerological Program • Established in 1982 – Government of Mali – Swiss Cooperation • Goal – Improve agricultural outcomes • Deliver climate and weather information to farmers • Deliver agroecological information • Couple with local extension/outreach
Mali’s Agrometerological Program • Targeted five key crops – Maize – Millet – Sorghum – Peanuts – Cotton • Forecasts coupled with ground truthing – Localize agrometeorological advisories
Mali’s Agrometerological Program • Targeted…farmers – The audience was generic • Implicitly male – The assumption was that more information was better • Not much discussion of how or for who
Water availability the largest problem for junior men and senior women, third biggest for junior Variable women, rainfall not a problem not listed for senior as a problem men by anyone Niagassoba YM OM YW OW Maize 2 1 1 Millet 2 1 Sorghum 2 1 Water Variable availability rainfallsecond the biggest biggest problem problem for junior Peanuts 2 women, 3rd biggest for senior men and forwomen, senior men, not anot problem a problem for Cotton Chili;Pepper junior for junior men ormensenior andwomen. women Cowpea Ginger 5 5 Lobogoula Okra 1 YM OM YW OW Potatoes 4 5 Maize 2 2 2 2 Rice 1 2 1 Millet 2 4 Tiger;Nuts Sorghum 2 4 2 2 Peanuts 4 2 Yamaco 5 Cotton 5 Chili;pepper 5 Cowpea 2 Ginger Okra Potatoes Rice 2 2 2 2 Tiger;Nuts 5 5 2 Yamaco
Water availability not a problem for anyone Variable rainfall is the biggest problem for senior women, not a problem for anyone else Water availability is the 4th Variable rainfall is for biggest challenge thejunior biggest problem women, notfor senior a problemwomen, for the 2nd biggest anyone else for junior men, and not a problem for anyone else
Mali’s Agrometerological Program • The challenges of social research > the challenges of climate science – Significant climate science challenges – Perfect science cannot address imperfect understandings of vulnerability
Why are people doing what they do? • To address challenges/, we have to explain their causes – This requires time on the ground – This requires getting beyond WEIRD
Vulnerability Context (exposure) Historical activities Problematization Global markets Livelihoods Discourse Local markets Local institutions Ethnic/cultural Mobilization Coercion of Identity expectations Historical expectations State laws Local markers of status Livelihoods Outcomes
Water, Climate, and Food Security in Africa • We have limited capacity to see what is coming next • We still don’t fully understand the vulnerabilities at play now • We have little understanding of what people do to manage those vulnerabilities now – And why they are managed in that way
Water, Climate, and Food Security in Africa • Three options: – Crawl into the fetal position, go into a different line of work – Plow ahead with uncertain/incorrect data and largely incorrect assumptions about events on the ground – Work aggressively on understanding and augmenting what people do to manage vulnerability now • The future is already here
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