This project overview describes a 2015 Science Transfer project that used scenario planning and the best available science to facilitate local dialogue addressing how climate change may impact the Kenai Peninsula, Alaska.

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

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

This project overview describes a 2010 Collaborative Research project in which a team led by South Slough Reserve developed a science-based plan to restore Olympia oysters to Oregon's coast.

This model was developed by the Hudson River Sustainable Shorelines project team and can be used to understand the energy regimes impacting shorelines and to help identify suitable shoreline stabilization alternatives for sites along the Hudson River.