These coastal hazard risk communication training process agendas can be used to as a model help facilitators develop trainings for coastal decision makers in other communities.

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.

These coastal hazard risk communication workshop materials can be used to help facilitate trainings for coastal decision makers.

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

In these two February 2020 webinars, project lead Kim Cressman and her team provide an introduction to newly developed tools for analyzing and communicating about Surface Elevation Table (SET) data.

These video modules introduce the conceputs and vocabulary of estuary ecology using American Sign Language. Five videos are available for the following topics: Watersheds, Water Quality, Water Quality Monitoring, Estuary Values, and Sea Level Rise.

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.