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.

Through data-collection, mapping, and modeling efforts, a collaborative research project has increased clarity about marsh habitat change to inform mosquito control and coastal restoration efforts in New Jersey.

This 2020 article which appeared in Estuaries and Coasts describes a study that evaluated rates of gross oxygen production over different time scales in a shallow temperate salt marsh pond as part of a 2017-2020 collaborative research project.

This 2020 article which appeared in Geomorphology describes a model to predict marsh pond dynamics in New England salt marshes that was developed as part of a 2017-2020 collaborative research project .

This 2020 article which appeared in the Journal of Geophysical Research: Biogeosciences describes a study that examined pond development and properties in salt marshes in order to better characterize them under different management and sea level rise scenarios as part of a 2017-2020 collaborative research project.

This 2019 article, which appeared in Nature Geoscience, suggests the importance of the integration of decomposition mechanisms into blue carbon models for predicting soil organic carbon stores. These findings were generated as part of a 2017-2020 collaborative research project.

These marsh sustainability and hydrology datasets were collected as part of a 2017 collaborative research project.

This website, developed as part of a 2017 collaborative research project, describes the Marsh Sustainability and Hydrology project in detail and provides access to the MSH decision support tool.