This project overview describes a 2016 Collaborative Research project that designed and applied predictive models to better understand the buffering services provided by Piermont Marsh on New York's Hudson River.

This project overview describes a 2017 Collaborative Research project that is piloting and refining DNA-based monitoring protocols that can be applied to specific issues and species of interest in estuarine ecosystems.

This project overview describes a 2018 Catalyst project that facilitated the development of a collaborative research agenda to study the ecological and physical impacts of storm surge barriers on the Hudson River Estuary.

This project overview describes the Dams and Sediment in the Hudson collaborative research project that assessed how sediment released by dam removals would affect the Hudson River estuary and provide practical tools to regulators and practitioners.

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 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 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 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.