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Steven A Murawski
National Academies of Science, Engineering, Medicine: Gulf Research Program
The project team plans to synthesize data to explore and quantify how oil spills like Deepwater Horizon affect fishing communities. This work includes both understanding how spills impact communities’ economic, ecological, and social systems — and modeling how these systems could be affected by future spills. Using high-resolution, fishery-dependent datasets, the team will identify how individual communities were affected by the Deepwater Horizon spill. Econometric and hydrodynamic modeling studies will be used to predict such impacts from future potential spills. Working with key fisheries stakeholders and local decision makers, the team plans to identify adaptive strategies that communities could use to mitigate future oil spills’ effects. This project has the potential to transform disaster planning and fisheries management responses to such disasters in the Gulf of Mexico and elsewhere.
Classifying Fishing Behavioral Diversity Using High-Frequency Movement Data
Publisher: Proceedings of the National Academy of Sciences (PNAS)
Improving Detection of Short-Duration Fishing Behaviour in Vessel Tracks by Feature Engineering of Training Data
Publisher: ICES Journal of Marine Science
Disturbance Modifies Payoffs in the Explore-Exploit Trade-Off
Publisher: Nature Communications
Resilience of a Commercial Fishing Fleet Following Emergency Closures in the Gulf of Mexico
Publisher: Fisheries Research
Invisible Oil Beyond the Deepwater Horizon Satellite Footprint
Publisher: Science Advances
Evaluating the Effectiveness of Fishery Closures for Deep Oil Spills Using a 4-Dimensional Model
Publisher: Springer, Cham
Comparative Environmental Sensitivity of Offshore Gulf of Mexico Waters Potentially Impacted by Ultra-Deep Oil Well Blowouts
Publisher: Springer, Cham
Predicting the Impact of Future Oil-Spill Closures on Fishery Revenues - A Spatially Explicit Approach
Publisher: ICES Journal of Marine Science