Page 2: Research news on adaptive management

Adaptive management is a structured, iterative method for decision-making under uncertainty that integrates management actions with systematic learning. It treats policies or interventions as experiments, specifying alternative hypotheses about system behavior, designing management actions to test them, and using monitoring data and formal evaluation to update models and decisions over time. Core components include explicit objectives, predictive models, monitoring protocols, and decision rules that are revised using feedback, often via Bayesian updating or other quantitative frameworks. Widely used in environmental and resource management, it aims to optimize outcomes while progressively reducing uncertainty about system dynamics and response to interventions.

Tapping into risk in America's drinking water

When you turn on the tap, you can typically expect clean, safe water to flow out. But behind that simple action lies a complex system of pipes, pumps, governance, and financials that, for millions of Americans, is at risk ...

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