Educators from the Chesapeake Bay National Estuarine Research Reserve in Virginia (CBNERRVA) and the Virginia Institute of Marine Science's (VIMS) Marine Advisory Program cre

This curriculum was developed as part of a 2018 Science Transfer project to share knowledge and lessons learned about managing conflict in collaborative science.

This advisory committee charter, developed for a National Estuarine Research Reserve project to evaluate a thin-layer placement as a strategy for marsh resilience, offers an example for engaging diverse end users in collaborative research.

This dam sediment estimation tool, developed through the Dams and Sediment in the Hudson (DaSH) project, supports dam removal planning for the Lower Hudson River valley.

These facilitation guides and job aids, part of a Resilience Metrics toolkit, provide tools and activities for each step of the process to develop and track metrics of adaptation success.

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 climate adaptation planning toolkit compiles lessons learned by five National Estuarine Research Reserves. It is designed to help communities set goals and identify specific indicators to evaluate progress toward a climate resilient future.

This website houses the Rapid Assessment Protocol for assessing the physical and ecological performance of nature-based engineered shoreline structures. You can also access additional resources associated with the Hudson River Sustainable Shorelines Project, including demonstration site case studies along the Hudson River.

This document provides guidance to those wishing to use the Climate Change Vulnerability Assessment Tool for Coastal Habitats ("CCVATCH") - a decision support tool which guides users through a series of questions to calculate numerical climate vulnerability scores for ecological habitats.

This tool is a novel approach to compare the resilience of different marshes to sea level rise.