This project overview describes a 2015 Integrated Assessment project that sought to answer the following question: What are the options for addressing the challenges to effectively protect and restore buffer zones around New Hampshire's Great Bay?

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 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 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.

This project overview describes a 2017 Collaborative Research project that generated precise estimates of nutrient retention by Lake Erie wetlands to inform management and decision making.

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.

These slides summarize a webinar given by Thomas Grothues of the Jacques Cousteau Reserve on September 19, 2018 about methods for analyzing trends in SWMP temperature with missing data.