Seventeen projects involving 27 reserves across the nation and totaling more than $2 million have been recommended for support by NOAA’s National Estuarine Research Reserve System (NERRS) Science Collaborative.

Through a 2020 catalyst project, university, reserve, and restoration practitioners partnered to understand social perceptions of saltmarsh restoration in Oregon to identify ways to better incorporate socially relevant information in restoration metrics, increase outreac

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.

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

This dataset contains processed Surface Elevation Table data from five reserves along with metadata, R scripts, reports, and figures, illustrating how SET can be processed, analyzed and visualized.

This data resource includes eDNA sequences, fish species summary tables, and DNA extractions from Wells, Great Bay, Hudson, Apalachicola, South Slough, and Heʻeia National Estuarine Research Reserves.

These five related carbon storage, greenhouse gas flux and environmental variable datasets were generated by the Bringing Wetlands to Market research team and used to develop a coastal wetland greenhouse gas model for New England.

Thin-layer placement (TLP) is an emergent climate adaptation strategy that mimics natural deposition processes in tidal marshes by adding a small amount of sediment on top of marsh in order to maintain elevation relative to sea level rise.