Learning Event No. 12, Session: Namirembe. ARDD2012 Rio

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Presentation by Sara Namirembe at the 2012 Agriculture and Rural Development Day (ARDD) in Rio de Janiero, Learning Event No. 12, How can we measure the multiple benefits for smallholder farmers that underlie resilience? Session 2: Land Health Surveillance Framework. http://www.agricultureday.org

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  • We believe these challenges can be overcome using new science and technology.First use of robust statistical sampling schemes, such as this one being used by the Africa Soil Information Service.Sample plots are randomized in a hierarchical, spatially stratified way to avoid sampling bias and allow data to be aggregated at different spatial scales.
  • Second, use of standardised, repeatable sampling protocols, tested under the toughest possible conditions
  • Learning Event No. 12, Session: Namirembe. ARDD2012 Rio

    1. 1. 18 June 2012, ARDD learning event 12:How can we measure the multiple benefits for smallholder farmers that underlie resilience? LAND HEALTH SURVEILLANCE FRAMEWORK Henry Neufeldt World Agroforestry Centre
    2. 2. Guidelines
    3. 3. AFRICASOILS SENTINEL SITEA SPATIALLY STRATIFIED, HIERARCHICAL, RAN D MIZED OSAMPLING FRAMEWORK Sentinel site (100 km2) 16 Clusters (1 km2) 10 Plots (1000 m2) 4 Sub-Plots (100 m2)
    4. 4. 2 ) sub-plots (100 m2)
    5. 5. PREDICTING SOC STOCKS USING SOILINFRARED SPECTROSCOPY (a) (b) (c )Partial least squares (PLS) regression analysis:(a) NIR and (b) MIR cross-validation(c) density plot showing the reference data using the thermaloxidation and the predicted values using NIR and MIR spectroscopy 5
    6. 6. MAPPING SOC STOCKS Mapping SOC Stocks using high resolution (QuickBird) satellite image A landscape level SOC stocks mapping can be made using medium resolution satellite imagery such as ASTER and LandsatSOC stocks in the mid Yala, western Kenya. The effect of cloud is masked as nodata

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