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.

Prescribed burns may be lethal for lizards

Scientists are calling for wildlife surveys to be conducted within hours of prescribed burns after new research revealed that evidence of animal deaths can disappear in less than two weeks, significantly underestimating the ...

What if our homes could move?

Imagine living in a home that you could simply pick up and move when extreme weather strikes. Instead of bricks and mortar, it's made from materials sourced from the local environment and, if weather conditions change, you ...

Researchers test a smart lion collar in Tanzania

A new generation of lion collars in Tanzania's Serengeti shows that human-wildlife encounters are becoming increasingly common. Researchers from Leiden University are working with local wildlife organizations and technology ...

How farmers respond to climate-related risk

As climate change increases the frequency of drought, excessive rainfall, and other extreme weather events, farmers face growing uncertainty about crop production. Understanding how farmers perceive and respond to that uncertainty ...

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