This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the April 2019 webinar New Research to Inform Living Shoreline Design, Placement and Monitoring.

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

This project overview describes a 2010 Collaborative Research project that investigated how swashes collect, transform, and export nutrients and organic matter that fuel hypoxia in Myrtle Beach's coastal waters.

This project overview describes a 2013 project that created an online portal for scientists and fisheries managers to share and use data on larval fish recruitment and environmental variables.

This project overview describes a 2018 Science Transfer project where 13 reserves are sharing their experiences in managing conflict during collaborative research projects and synthesizing lessons learned.

This project overview describes a 2015 Collaborative Research project that is developing and field-validating rapid assessment protocols for physical and ecological functions of ecologically-enhanced shorelines.

This project overview describes a 2015 Science Transfer project that developed products to support New York State decision makers considering nature-based shoreline approaches and other natural resilience measures.

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.