Modeling the importance of interdisciplinary collaboration

The Real-Time Aquatic Ecosystem Observation Network (RAEON) demonstrates how sharing equipment, data, and expertise enables researchers to tackle complex environmental challenges in the Great Lakes.

Large, multidisciplinary teams are essential for tackling "wicked" problems like climate change and biodiversity loss, offering broader perspectives and greater impact despite management challenges.

A survey of fishery professionals reveals that while virtual engagement maintains existing relationships, in-person interaction remains critical for building trust and new collaborations in the post-pandemic era.

The binational success of ballast water regulations in the Great Lakes, which reduced invasions by 85%, offers a model for achieving global biodiversity targets under the COP15 framework.

Edina Illyes studies how historical glaciation and human activity shape fish species distributions in northwestern Ontario, blending landscape processes with contemporary ecology.

Nick Boucher, a Ph.D. student at Michigan State University, focuses on analyzing acoustic telemetry data and assessing arrays to improve fish tracking in the Great Lakes.

Kiersten McCutcheon coordinates the Visual Assessment Survey Tool (VAST) for Niagara Coastal, engaging citizen scientists to collect data on changing Great Lakes conditions.

USGS and partner agencies are using Saildrones and autonomous underwater vehicles to correct biases in sonar surveys, improving the accuracy of prey fish abundance estimates for Great Lakes fisheries.

The removal of three dams on the Boardman River restored connectivity and cultural significance, showcasing a successful collaboration between Indigenous communities, government, and local stakeholders.

A comparison of lake committees in the Laurentian Great Lakes and advisory groups in the African Great Lakes reveals a promising framework for transboundary collaboration and resource sharing.