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.
Research shows that communities are best able to mitigate the effects of climate change when they can work alongside scientists on adaptation plans. B. Hanson and colleagues recently extended this finding to Indigenous communities ...
Environment
Apr 30, 2025
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24
Rapid urbanization and climate change are intensifying urban flash floods and waterlogging, especially in coastal cities. In a new study published in Risk Sciences, a duo of researchers explore the growing challenges and ...
Environment
Apr 28, 2025
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23
Public officials designing seawalls, levees and other safeguards against rising seas can save money if their solutions are flexible, adapting to sea-level increases over time, according to an analysis by scientists at Rutgers ...
Earth Sciences
Mar 18, 2025
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144
In a recent study, researchers developed a portable digital holographic camera system that can obtain full-color digital holograms of objects illuminated with spatially and temporally incoherent light in a single exposure. ...
Optics & Photonics
Feb 18, 2025
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53
