This project overview describes a 2017-2020 Collaborative Research project that involved scientists and end users in Cape Cod, Massachusetts working together to develop decision-support tools for hydrological management strategies that promote sustainability and delivery of valuable ecosystem services under future sea level rise scenarios.

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 webpage provides a summary of and resources related to an October 2018 workshop at the GTM NERR in northeastern Florida, including all presentation slides.

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 Annie Cox of the Wells Reserve on June 21, 2018 about her 2016 Science Transfer project that sought to help businesses in Maine self-assess their resilience to disaster.

The Wells National Estuarine Research Reserve (NERR) has been supporting Southern Maine ’s beach-based businesses by increasing their resilience to climate change.

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

A workshop summary report capturing the collective findings and advice of workshop participants to serve as a resource for those interested in developing end user-driven collaborative research projects.