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 2016 Collaborative Research project that assessed the ecosystem services of shellfish farming in the North Carolina National Estuarine Research Reserve.

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 2016 Science Transfer project where staff members from the North Carolina National Estuarine Research Reserve are being trained in the application of the CCVATCH tool to assess the vulnerabilities of local coastal habitats to climate change.

This project overview describes a 2018 Catalyst project where researchers from Duke University and the North Carolina and Rookery Bay reserves partnered to develop ecosystem services models for coastal habitats.

These generalized Ecosystem Services Conceptual Models and metrics for mangrove and oyster reef habitat restoration are designed to help coastal managers incorporate ecosystem services into their coastal decision-making processes.