An Integrated Monitoring System for Agricultural Landscapes• Ecosystem Services• Agricultural Production• Human Wellbeing

For decision making

Co – location of data in space and time – to assess tradeoffs and synergies

Use of existing systems and data as much as possible – often adding the environmental components

Ownership by governments to link with national data collection efforts

Build national capacity on data collection, storage, analysis and use

Integrated Monitoring of Agricultural Landscapes

DECISION -SUPPORT INDICATORSa small set of indicators for decision making

ANALYSISmathematical models and algorithms are applied

MEASUREMENTconsistent metrics gathered on the ground and remotely via satellites

VITAL SIGNS APPROACH – analysis threads

VITAL SIGNS DECISION INDICATORS CATEGORIES

Thread Indicator Agriculture Human wellbeing

Ecosystems Services

Climate Forcing Net AFOLU Climate Forcing XBiodiversity Biodiversity Security XWood Fuel Wood fuel Energy Security X X

LivestockRangeland degradation XForage Adequacy X X

Water 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 X

Health Prevalence of malaria, diarrhea, anemia X

Nutrition % overweight, under weight, stunting, and wasting X

Tree coverMODIS

Tree heightICESAT Tree basal area Tree height

HouseholdWoodfuel

consumption

Population

Woodfuel Energy

Security

Supply-demand

Woody biomass

Wood production

Wood consumption

Annual rainfall

Tree production

Model(Shackleton &

Scholes)

Colgan et alalgorithm

AllometryNickless &

Scholes 2011

Tree species

Thread for Wood Fuelv1 Sep 12

Loss of forest area

Vital Signs isstarting in

SubSaharan Africa

ETHIOPIAGHANA

TANZANIA

UGANDA

RWANDA

MOZAMBIQUE

GLOBALFacilitating comparisons among different regions

REGIONProviding insights and information at the scale on which agricultural investment decisions are made

LANDSCAPEMeasuring relationships between agricultural intensifications, ecosystem services and human wellbeing

FIELD/PLOTTracking agricultural production, including inputs and outputs

HOUSEHOLDUsing surveys on health, nutritional status, income and assets

Sampling Framework: Measurement Scales

Tiers 1 and 2 Tiers 3 and 4

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

SAGCOT DEVELOPMENT CLUSTERSAND PROTECTED AREAS