The project team will quantify the effects of oyster reef closures and other drivers on oyster reef functioning to help managers decide which reefs to close and when restoration is needed.
This project will scope and design a plan to address the uncertainties of restoring seagrasses and associated communities along barrier islands in Louisiana, which will inform the restoration and long-term adaptive management of the Chandeleur Islands.
The project team will address existing limitations and uncertainties in fisheries stock assessments by developing novel model diagnostics and interim assessment methods, which will be incorporated into active stock assessments to reduce the error, uncertainty, and throughput delays associated with overfishing limits and acceptable biological catch estimates.
This project identifies long-term trends in fish, shrimp, cephalopods, and other fauna in the deep-pelagic Gulf of Mexico (open ocean midwaters beyond the continental shelf, from just below the surface to just above the bottom) and provides this information to resource managers responsible for the numerous species that rely on deep-pelagic fauna as prey, including marine mammals.
This project is determining where the corals in different mesophotic and deepwater populations in the Gulf of Mexico originated from, which is critical information for conserving and restoring these important habitats that were damaged by the Deepwater Horizon Oil Spill.
The project team seeks to develop statistical models, analyses, and conceptual models based on laboratory and survey data to help managers conduct more targeted and specific risk assessments of Houston-area bottlenose dolphins potentially injured by releases of polychlorinated biphenyls (PCBs) and dioxins.
This project will explore the feasibility of a freshwater inflow decision tool that will provide managers with a better understanding of the impact of allowing water to flow to the coast, and how to maximize environmental, social, and economic benefits while adapting to changing conditions over time.
This project adapted an existing computer model for assessing the suitability of a site for construction of a living shoreline, applied the model to Perdido Bay/Wolf Bay/Ono Island complex in coastal Alabama; Lake Pontchartrain, Louisiana; and Galveston Bay, Texas, and developed an interactive decision support tool that allows for a rapid assessment of a site.
This project is developing a decision support tool to aid resource managers, municipalities, and a county with decisions related to the preservation and restoration of mangrove, marsh, and beach habitats; water management; and coastal planning, zoning, and land acquisition.