Abstract Machine learning covers a large set of algorithms that can be trained to identify
patterns in data. Thanks to the increase in the amount of data and computing power …

Participatory decision tools enable stakeholders to reconcile conflicting natural resources
management objectives. Fisheries targeting highly productive species can have profound …

While there have been recent improvements in reducing bycatch in many fisheries, bycatch
remains a threat for numerous species around the globe. Static spatial and temporal …

Climate change is altering ecosystems and fisheries throughout the world's oceans,
demanding climate‐adaptive governance for conserving and managing living marine …

Multispecies models have existed in a fisheries context since at least the 1970s, but despite
much exploration, advancement, and consideration of multispecies models, there remain …

Many marine species are shifting their distributions in response to changing ocean
conditions, posing significant challenges and risks for fisheries management. Species …

The Northwest Atlantic Ocean and Gulf of Mexico are among the fastest warming ocean
regions, a trend that is expected to continue through this century with far-reaching …

Management strategy evaluation (MSE) is a simulation approach that serves as a “light on
the hill” to test options for marine management, monitoring, and assessment against …

Aim Marine biodiversity faces unprecedented threats from anthropogenic climate change.
Ecosystem responses to climate change have exhibited substantial variability in the …

Dynamic ocean management, which leverages near real-time data to adaptively shift
management in response to changing ocean conditions, is gaining attention as an …