Over the next few months, projects teams who received funding from the NOAA RESTORE Science Program in 2015 will be presenting their results as part of the OneNOAA Science Seminar Series. A total of seven research teams were awarded approximately $2.7 million to assess ecosystem modeling, evaluate indicators for ecosystem conditions, and assess and develop recommendations for monitoring and observing in the Gulf of Mexico.
IN CASE YOU MISSED IT…
August 14, 2019 - Project Title – Connectivity Processes in the Gulf of Mexico Due to Ocean Circulation: Impact on Coastal Ecosystems and Their Management
Presenter: Dr. Matthieu Le Hénaff, University of Miami/Cooperative Institute for Marine and Atmospheric Studies
Project Description: Matthieu Le Hénaff and his co-investigators are partnering with resource managers in the Gulf of Mexico to quantify the impact of observations on ecosystem models with the goal of evaluating how existing observing networks are useful for ecosystem management and identifying observational gaps (learn more). In this seminar, Matthieu Le Hénaff will present on connectivity processes in the Gulf of Mexico and their implications for ecosystem management with examples from the Florida Keys and Flower Garden Banks National Marine Sanctuary.
IN CASE YOU MISSED IT…
November 14, 2018 - Project Title – Indicators and Assessment Framework for Ecological Health and Ecosystem Services
Presenter: Dr. Larry McKinney, Harte Research Institute
Project Description: Larry McKinney and his co-investigators worked with managers at the Mission Aransas National Estuarine Research Reserve (MANERR) to develop an integrated assessment and decision-support tool using ecosystem indicators to inform management needs of the MANERR. This tool provides a simple measure of the health of the ecosystem and its link to human well-being (learn more).
October 17, 2018 - Project Title – Ecosystem modeling efforts in the Gulf of Mexico: current status and future needs to address management and restoration activities
Presenter: Dr. James Simons, Texas A&M University Corpus Christi
Project Description: Jim Simons and his co-investigators worked with other researchers and resource managers to test and align ecosystem models with Ecosystem-Based Fishery Management (EBFM) and restoration needs in the Gulf of Mexico (learn more).
September 25, 2018 - Project Title – The central role of the Mississippi River and its delta in the oceanography and ecology of the Gulf of Mexico large marine ecosystem
Presenter: Dr. Alexander Kolker, Louisiana Universities Marine Consortium
Project Description: Alex Kolker and his co-investigators investigated the influence of the Mississippi River and its delta on the oceanography, ecology, and economy of the Gulf of Mexico and identified the additional data collection and modeling necessary for managers to better monitor and manage the Gulf’s natural resources (learn more).
August 29, 2018, 12 – Seminar Title – Cooperative Monitoring Program for Fish Spawning Aggregations in the Gulf of Mexico (see video below)
Presenter: Dr. Brad Erisman, The University of Texas at Austin
Project Description: Brad Erisman and his co-investigators worked with a diverse group of experts from academia, federal and state government, and non-governmental organizations to compile and evaluate existing information of fish spawning aggregations in the Gulf of Mexico. They produced the Gulf Fish Spawning Aggregations Webtool to inform the conservation and management of the region’s fisheries (learn more).
August 7, 2018 – Seminar Title – Identifying Ocean Events and Seasonal Trends of Biophysical Water Properties and Dynamic Anomalous Marine Conditions in the Gulf of Mexico (see video below)
Presenters: Dr. Robert Arnone and Dr. Brook Jones, University of Southern Mississippi
Project Description: Bob Arnone and his co-investigators working out of the Ocean Weather Laboratory used archived satellite ocean observations and ocean circulation models to identify ecologically active regions in the Gulf of Mexico and define gaps in current oceanographic data collection (learn more).