This project overview describes a 2017 Science Transfer project in which the southeastern National Estuarine Research Reserves created a region-wide, student-driven program for teachers to further understanding of estuary restoration.

This project overview describes a multi-year collaborative research project that analyzed a suite of living shoreline possibilities for South Carolina to help the state develop a living shoreline policy.

This project overview describes a 2018 Catalyst project that created an Olympia oyster restoration network to enhance the success of West Coast restoration efforts.

This project overview describes a 2018 catalyst project led by the San Francisco Bay Reserve that brought together key stakeholders and decision makers to advance adaptation planning for a low-lying coastal road at China Camp State Park.

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 2012 Collaborative Research project that engaged community volunteers to restore vital oyster reefs in South Carolina.

This project overview describes a 2013 Collaborative Research project that developed a protocol to accurately measure suspended sediment concentrations in tidal marshes, enhancing understanding of marsh accretion and informing marsh conservation and restoration.

This project overview describes a 2012 Collaborative Research project that worked to address barriers preventing communities in South Carolina from embracing low-impact development strategies.

This project overview describes a 2011 Collaborative Research project that developed science-based planning tools that decision-makers along the Pacific Coast can use to better site oyster restoration projects.

This project overview describes a 2013 Collaborative Research project in which ACE Basin Reserve worked with stakeholders to compile water quality and rainfall data and modeling to inform policy and management decisions.