Ecological Effects of Sea Level Rise (EESLR) in the Northern Gulf of Mexico. A field observation and modeling project that will provide coastal managers with the knowledge and tools to prepare for the impacts of tides and storm surge from SLR with icreased certainty. Contact Dr. Scott Hagen at email@example.com or go to the project website for more information.
Gulf Coast Vulnerability Assessment (GCVA). The GCVA is a collaborative project to enhance conservation and restoration planning by providing an understanding of the effects of SLR. Contact Cynthia Edwards at firstname.lastname@example.org or go to their project website for more information.
Coastal Wetland Migration Corridors. This is a collaborative effort by the four Gulf Landscape Conservation Cooperatives and U.S. Geological Survery to identify future coastal wetland migration corridors under various SLR and urbanization scenarios across the U.S. Gulf coast. Contact Dr. Mike Osland at email@example.com or go to the publication website for the data set or more information.
Connecting Science to Citizens. The Coastal Training Program Coordinators at the National Estuarine Research Reserves (NERRS) conducted a series of focus groups with residents and local government staff to learn more about stakeholder needs for SLR information and tools. Contact Mark Berte at firstname.lastname@example.org or go to the project website for more information.
Will Reintroduction of Fire Along Coastal Gradients Promote Lateral Migration of Marsh and Enhance Biodiversity? The cooperative partner Grand Bay NERR is conducting a study to determine the importance of fire in facilitating the landward migration of marsh plants in response to SLR. Contact Dr. Mark Woodrey at email@example.com or read this article for more information
Management Outcomes of Sea-Level Rise Modelling through Standardized Sampling of a Key Model Input: Total Suspended Solids (TSS). The focus of this project is to develop a standardized protocol for collecting TSS data above the marsh plain and to evaluate the utility of these data in improving currently available marsh accretion models.