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 the Northeast reserves developed and offered a series of teacher workshops focused on the story of climate change impacts on coastal habitats.

This project overview describes a 2017 Collaborative Research project that tested the effectiveness of thin-layer sediment placement as a marsh adaptation strategy.

This project overview describes a 2018 Science Transfer project that is transferring a novel approach to climate adaptation planning developed in New England to a coastal county in South Carolina.

This project overview describes a 2018 Science Transfer project where three Northeast reserves are collaborating to develop consensus-based recommendations for pollutant load reduction performance curves to help New Hampshire communities use buffers to meet in-stream pollution reduction targets.

This project overview describes a 2018 Catalyst project led by the University of New Hampshire that is synthesizing salt marsh vegetation and elevation data to improve coastal wetland management in New England.

This tool contains all the materials needed to organize role playing simulations to help communities explore options for addressing coastal flooding in the southeast.

This project overview describes a 2010 Collaborative Research project that investigated nitrogen hotspots in New Hampshire's Great Bay.

These slides summarize a webinar given by Jennifer Plunket of the North Inlet-Winyah Nay Reserve and Robin Weber of the Narragansett Bay Reserve on July 17, 2018 summarizing results from their assessments using the Climate Change Vulnerability Assessment Tool for Coastal Habitats (CCVATCH).

Eleven projects have been recommended for funding by the National Oceanic and Atmospheric Administration ’s National Estuarine Research Reserve System (NERRS) Science Collaborative.