This resource includes links to five datasets generated by a collaborative research project that measured nitrogen removal from oyster aquaculture using complement biogeochemistry and genetic methods.

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the April 2021 webinar Promoting Resilient Groundwater and Holistic Watershed Management in Alaska ’s Kenai Lowlands.

This open access article describes an assessment of the storm buffering services provided by Piermont Marsh, New York.

This poster, created by a Hollings Scholar who worked with Kachemak Bay NERR on a 2017 collaborative research project, describes the project and results.

This video was created by two high school students from the Alaska Native village of Tyonek, documenting their communities groundwater uses, and represents one output from engaging with students from a 2017 collaborative research project.

This project overview describes a 2016 Collaborative Research project that designed and applied predictive models to better understand the buffering services provided by Piermont Marsh on New York's Hudson River.

This article, published in Frontiers in Marine Science in 2021, describes work done as part of a 2017-2020 collaborative research project conducted at Waquoit Bay Reserve in Massachusetts. The article explores the impacts of oyster aquaculture on nitrogen removal by examining bacterial processes in sediments underlying three of the most common aquaculture methods that vary in the proximity of oysters to the sediments.

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the March 2021 webinar Understanding the Role Coastal Marshes Play in Protecting Communities from Storm Surge and Flooding.

This outreach tool summarizes the key takeways for a project that assessed the value of a coastal marsh in protecting coastal communities from storm surge and flooding amid a changing climate.

This article, published in Scientific Reports in 2021, describes work done as part of a 2016-2020 collaborative research project conducted at Hudson River Reserve in New York. The article describes a regression model that can be used for wetland restoration planning to help reduce storm-related structural damage.