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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Learning Event No. 12, Session: Namirembe. ARDD2012 Rio
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
3. AFRICASOILS SENTINEL SITE
A SPATIALLY STRATIFIED, HIERARCHICAL, RAN
D MIZED
O
SAMPLING FRAMEWORK
Sentinel site (100 km2)
16 Clusters (1 km2)
10 Plots (1000 m2)
4 Sub-Plots (100 m2)
5. PREDICTING SOC STOCKS USING SOIL
INFRARED 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 thermal
oxidation and the predicted values using NIR and MIR spectroscopy
5
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
Landsat
SOC stocks in the mid Yala, western Kenya. The effect of cloud is masked as no
data
Hinweis der Redaktion
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