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.

Addressing the Achilles' heel of marine protected areas

New research led by James Cook University (JCU) emphasizes that the success of marine protected areas (MPAs) depends largely on understanding and influencing people's behaviors within their borders. The study demonstrates ...

New paper outlines pathways to equitable flood adaptation

While parts of New York and New Jersey were "building back better" after Superstorm Sandy, residents of flood-prone public housing in Rockaway, Queens, were left without heat or running water for years.

We need to plan for what we fear, not just what we expect

The Murray-Darling Basin Authority (MDBA)—the statutory agency responsible for planning the Basin's water resources—has just shared the starkest news yet about the Basin's future: the Basin is almost certainly going to get ...

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