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Workshop Trade-Off Analysis - CGIAR_21 Feb 2013_External Vital Sig…
Workshop Trade-Off Analysis - CGIAR_21 Feb 2013_External Vital Sig…
Workshop Trade-Off Analysis - CGIAR_21 Feb 2013_External Vital Sig…
Workshop Trade-Off Analysis - CGIAR_21 Feb 2013_External Vital Sig…
Workshop Trade-Off Analysis - CGIAR_21 Feb 2013_External Vital Sig…
Workshop Trade-Off Analysis - CGIAR_21 Feb 2013_External Vital Sig…
Workshop Trade-Off Analysis - CGIAR_21 Feb 2013_External Vital Sig…
Workshop Trade-Off Analysis - CGIAR_21 Feb 2013_External Vital Sig…
Workshop Trade-Off Analysis - CGIAR_21 Feb 2013_External Vital Sig…
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Workshop Trade-Off Analysis - CGIAR_21 Feb 2013_External Vital Sig…

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  • 1. An Integrated Monitoring Systemfor Agricultural Landscapes• Ecosystem Services• Agricultural Production• Human Wellbeing
  • 2. Integrated Monitoring of Agricultural LandscapesFor decision makingCo – location of data in space and time – to assess tradeoffsand synergiesUse of existing systems and data as much as possible –often adding the environmental componentsOwnership by governments to link with national datacollection effortsBuild national capacity on data collection, storage, analysisand use
  • 3. VITAL SIGNS APPROACH – analysis threads DECISION -SUPPORT INDICATORS a small set of indicators for decision making ANALYSIS mathematical models and algorithms are applied MEASUREMENT consistent metrics gathered on the ground and remotely via satellites
  • 4. VITAL SIGNS DECISION INDICATORS CATEGORIES Human EcosystemsThread Indicator Agriculture wellbeing ServicesClimate Forcing Net AFOLU Climate Forcing XBiodiversity Biodiversity Security XWood Fuel Wood fuel Energy Security X X Rangeland degradation XLivestock Forage Adequacy X XWater Water Security X X XResilience Resilience or buffering index X X XInclusive Wealth Sustainability index X X XFood Security Food Security Index X XSoil Health Soil Health Index X XAg. Intensification Yield Target (%) XPoverty Poverty XHealth Prevalence of malaria, diarrhea, anemia XNutrition % overweight, under weight, X stunting, and wasting
  • 5. Woodfuel Energy Thread for Security Wood Fuel Loss of forest area v1 Sep 12 Supply- demand Wood Wood production consumption Tree production Model Annual rainfall (Shackleton & Scholes) Woody biomass Allometry Colgan et al Nickless & algorithm Scholes 2011 Household PopulaTree cover Tree height Woodfuel tion Tree basal area Tree height Tree species MODIS ICESAT consumption
  • 6. GHANA ETHIOPIA UGANDA RWANDA Vital Signs is TANZANIA starting inSubSaharan Africa MOZAMBIQUE
  • 7. Sampling Framework: Measurement Scales GLOBAL REGION LANDSCAPE FIELD/PLOT HOUSEHOLDFacilitating Providing insights Measuring relationships Tracking agricultural Using surveys oncomparisons among and information at between agricultural production, health, nutritionaldifferent regions the scale on which intensifications, ecosyst including inputs status, income agricultural em services and human and outputs and assets investment wellbeing decisions are made Tiers 1 and 2 Tiers 3 and 4
  • 8. Sampling Framework• Tier 1 – simple measures, complete regional coverage at moderate resolution, based on models and remote sensing – Land cover, vegetation type, biomass, modeled NPP – yields• Tier 2A -1 ha plots, in situ detail, statistically valid sample - to validate Tier 1 and measure things not ‘seen’ by RS (250-500 plots sampled;• Tier 2B: 500+ HHs depending on national surveys • Population, disaggregated national statistics• Tier 3 – Flow based, continuous sampling – weather station, hydrological flows• Tier 4 – Process-oriented studies at high resolution- – Five to ten 10X10 km landscapes per region – 30-40 households per landscape with associated fields
  • 9. SAGCOT DEVELOPMENT CLUSTERSAND PROTECTED AREAS

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