This project overview describes a 2017 science transfer project that developed a risk communication training for reserves to build risk communication capacity in four coastal communities.

These multimedia outreach and communication tools were developed by the Kachemak Bay National Estuarine Research Reserve and its partners in support of a project to advance peatland blue carbon projects in the Kenai Lowlands, Alaska.

This stakeholder engagement plan outlines an approach to strengthen stakeholder networks and advance blue carbon conversations in the Kenai Lowlands, Alaska.

This national synthesis report analyzes SET data from 15 National Estuarine Research Reserves across the continental United States, summarizing wetland water level trends over a 19-year period.

A 2018 catalyst project developed tools for working with SET data including a series of computer codes - R scripts - for processing, quality checking, analyzing and visualizing these complex datasets. The statistical codes re available through GitHub and are explained in a Guide to the SETr Workflow.

This project overview describes a 2017-18 science transfer project led by the Narragansett Bay National Estuarine Research Reserve that developed a regional workshop to build capacity for New England salt marsh resilience.

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 collection of K-12 lesson plans, compiled by the Native Olympia Oyster Collaborative, features science, math, engineering, writing, art, and multidisciplinary lessons that invite students to explore various aspects of West coast native oysters.

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.