1. Information Systems for Water, Land & Ecosystems Towards evidence-based decision making for sustainable agricultural intensification Ecosystem Health – maintaining the capacity to sustain delivery of essential ecosystem services (the benefits people obtain from ecosystems)

2. Surveillance conceptual frame Concepts, methods, technology, protocols, & tools to help apply the type of scientific rigour that exists in public health surveillance to management of agro-ecosystem health Evidence-based decision-making integrated into everyday policy and practice The ongoing, systematic collection, analysis, and interpretation of data essential to the planning, implementation, and evaluation of land and water management policy and practice, and application of these data to promote, protect, and restore land, water and ecosystem health.

3. 1. Targeting information needs Strengthen decision sciences: – What are the key development decisions relevant to sustainable agricultural intensification? – What are the key variables and uncertainties? – What is the high value information & critical measurements to reduce uncertainty? – As mechanism to engage decision makers (working through decisions together) and elaborate impact pathways If you don’t compute the value of information/measurement, you are probably measuring the wrong things - Hubbard

4. 2. Information science Two-pronged approach: (1) Work backwards from specific decisions (previous slide) (2) Build the basic multi-scale methods, protocols and data sets on agro- ecosystem services to feed multiple applications – Land/Soil health surveillance systems (e.g AfSIS/Ethiopia- Tanzania-Nigeria-Ghana soil information systems) – Web-based spatial platform for easy data access and visualization of water, land and human health metrics at multiple scales – Long-term ground monitoring sites across the tropics/basins: productivity - ecosystem services - human welfare – Remote sensing protocols for water balance components, water quality & soil salinity monitoring (Basins/Irrigation SRPs)

5. 3. Amplify delivery of high-value information Engaging high level decision makers in structured decision science processes (Slide 1) Promotion of standardized surveillance protocols for ecosystem services and human welfare (permits data aggregation/ meta-analysis) Building capacity of a new generation of young scientists in latest monitoring science and technology Link to instruments for managing/sharing risk, valuing, protecting ES.