This project overview describes a 2018 Catalyst project led by Grand Bay Reserve that developed standardized tools to quality-check, analyze, and visualize Surface Elevation Table data.

This project overview describes a 2017 science transfer project that developed a risk communication training for reserves to build risk communication capacity in four coastal communities.

This project overview describes a project led by Elkorn Slough National Estuarine Research Reserve to communicate the results of a recent national synthesis of NERR Sentinel Site data on marsh resilience to sea level rise.

This project overview describes a 2013 Collaborative Research project that refined and piloted the Climate Change Vulnerability Assessment Tool for Coastal Habitats ("CCVATCH").

This project overview describes a 2012 Collaborative Research project that assessed the ability and cost-effectiveness of marsh restoration designs to remove nitrogen pollution from stormwater runoff.

This project overview describes a 2016 Science Transfer project that extended the reach of a watershed education and training project, Climate Education for a Changing Bay, in Virginia.

This project overview describes a Collaborative Research project that evaluated several coastal restoration designs at the Weeks Bay National Estuarine Research Reserve.

This project overview describes a 2015 Science Transfer project where the four Northeast reserves used CCVATCH to conduct vulnerability assessments of coastal habitats in their reserves.

This project overview describes a 2015 Science Transfer project where Chesapeake Bay, Virginia Reserve staff and partners from the Virginia Institute of Marine Sciences created the Virginia Scientists and Educators Alliance (VA SEA) to generate K-12 science lesson plans and train graduate students on science communication.

This project overview describes a 2015 Science Transfer project that produced tools, graphical support, and training for research staff at the Mid-Atlantic reserves to better utilize reserve monitoring data.