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Lucrezia Tincani - Adaptable Livelihoods: wild foods, resilience and food security in rural Burkina Faso
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Lucrezia Tincani - Adaptable Livelihoods: wild foods, resilience and food security in rural Burkina Faso

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STEPS Seminar, 16 May 2011 by Lucrezia Tincani, SOAS.

STEPS Seminar, 16 May 2011 by Lucrezia Tincani, SOAS.

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  • 1. Adaptable Livelihoods: wild foods, resilience and food security in rural Burkina Faso
    by
    Lucrezia Tincani
    School of Oriental and African Studies
    University of London, UK.
    lucrezia.tincani@soas.ac.uk
  • 2. DRY SEASON RAINY SEASON
    How does seasonality affect the food security of the household?
    What factors determine the adaptive capacity of the household over the seasons?
  • 3. theory–> methods –> results –> implications
    Sustainable Livelihoods FW
  • 4. theory–> methods –> results –> implications
    Panarchy Theory (ecology)
    Three properties determine the resilience of the system :
    Diversity of livelihood strategiesdetermines the number of alternative options
    Adaptive capacity of livelihood strategies determines how reactive the system is to disturbances, based on whether individual strategies adapt a lot or a little
    Connectivity determines the flexibility of the system: if strategies are highly connected, all strategies collapse as soon as one is affected (domino effect)
    Holling, C. S. (2001) Understanding the complexity of economic, ecological, and social systems. Ecosystems4: 390-405.
  • 5. theory–> methods –> results –> implications
    Fieldwork: Oct. 2009 - Dec. 2010
    2 provinces in
    Burkina Faso
    4 villages/province
    2 family compounds/village
    3 food security levels
    TOTAL = 23 households = 97 adults
    613mm/yr rainfall
    921mm/yr rainfall
    N.B. village selection was based on the project villages of TREEAID
  • 6. theory–> methods –> results –> implications
    Methodology
    Quantitative cooking surveys
    %food* from home production (granary)
    %food purchased
    %food collected from forest areas (‘wild foods’)
    %food received from friends and relatives
    >> every 2 months (6 survey rounds) = 2x 3day recall
    Triangulation for every adult in household
    Asset inventory (livestock & food reserves)
    Income, expenditure
    Qualitative individual interviews on motivations, cultural norms…
    * food = main cooked ingredient of a meal (no snacking)
  • 7. theory–> methods –> results –> implications
    Research questions
    How does seasonality affect the food security of the household?
    What factors determine the adaptive capacity of the household over the seasons?
    How successful is Panarchy Theory at capturing this adaptive capacity?
  • 8. theory–> methods –> results –> implications
    Data analysis
    Data entry and coding: Excel
    Statistical analysis (non-parametric): STATA v.11
    Definition of variables:
    Diversity = diversity (Simpson’s diversity index) of food sources
    Adaptive capacity = yearly st.dev. of food source contribution
    Connectivity = yearly co-variance of food sources
  • 9. theory–> methods –> results –> implications
    Results
    (median data for households)
  • 10. theory–> methods –> results –> implications
    Box plot of the diversity index, plotted over the six seasons, for each field site, indicating the median (white line), the inter-quartile range (grey box), the 95% confidence interval (hooked lines) and any outliers (grey dots).
  • 11. theory–> methods –> results –> implications
    Box plot of the diversity index, plotted over the six seasons, for Northern households with one or two wives.
  • 12. Scatter plot of the median annual diversity index and the annual adaptation index (yearly st.dev.) , plotted for the Northern and Southern households.
  • 13. Scatter plot of the median annual diversity index and the annual covariance index , plotted for the Northern and Southern households.
  • 14. Ouedraogo, H. (2 wives)
    Seasonal specialisation
    Redundancy
    Bilgo, A. & son (3 wives in total)
  • 15. theory–> methods –> results –> implications
    Trends
    • Conservative vs. entrepreneurial households?
    • 16. Splitting and merging of households?
  • theory–> methods –> results –> implications
    Using Panarchy Theory to capture livelihood resilience?
    Households can follow different trajectories to maintain their livelihood resilience
    Need qualitative triangulation
    Implications for climate change adaptation?
  • 17. Many thanks to…
    KIRAKOYA Aoua
    BONKOUNGOU Aminata
    lucrezia.tincani@soas.ac.uk
  • 18. Number of women per hh
    Number of men per hh
    AVERAGE = 1.5 men + 2.2 women per household