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.

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.

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.

This story map and K-12 activity invites students to explore coastal marsh vulnerability to sea level rise and a collaborative experiment to enhance marsh resilience at the Chesapeake Bay National Estuarine Research Reserve in Virginia.

This webinar was originally presented on February 20, 2020 as part of the Restoration Webinar Series, hosted by the National Oceanic and Atmospheric Administration and U.S. Fish & Wildlife Service's National Conservation Training Center. Presenters: Kerstin Wasson, Beth Watson, and Kenny Raposa

This code (R and MATLAB) can be used to analyze NERRS System-Wide Monitoring Program time series data.

Over $2.6 million will be awarded to six projects by the National Oceanic and Atmospheric Administration ’s National Estuarine Research Reserve System Science Collaborative that engage research efforts on 12 reserves across the nation.

NOAA ’s National Estuarine Research Reserve System Science Collaborative, managed by University of Michigan Water Center, is pleased to announce the outcome of the 2017 Science Transfer competition.