This how-to guide describes how to synthesize salt marsh monitoring data from the National Estuarine Research Reserve System.

This how-to guide describes how to integrate plant cover data from two common methods of estimating marsh plant cover.

This document provides guidance on the use of thin-layer sediment placement (TLP) as a tool for tidal marsh resilience in the face of sea-level rise.

This summary brochure describes thin-layer placement (TLP) as a strategy for marsh resilience, and National Estuarine Research Reserve System research and recommendations for TLP use.

This collection of reports summarizes Surface Elevation Table (SET) data at fiften reserves. A technical report analyzing of surface elevation change and a summary for oureach purposes is provided for each reserve.

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 video showcases an expo about classroom-tested science lesson plans created for the Virginia Scientists and Educators Alliance (VA SEA) by science graduate students. The VA SEA Project is currently supported by the Chesapeake Bay National Estuarine Research Reserve, Virginia Sea Grant, and the VIMS Marine Advisory Program.

The ocean is inextricably linked to human societies. Climate change and its associated impacts to the aquatic environment pose problems for human communities as well.

The Credit for Going Green project team developed a toolkit to help partners share project results within their organizations and throughout their professional networks. These resources can be used to develop presentations, web content, newsletter articles, or social media posts about the project.

This guide outlines a structured process to engage experts and develop timely, science-based solutions to environmental problems. The FAST process provides an iterative, weight-of-evidence approach for these experts to reach general agreement around technical recommendations.