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.

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

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 summarizes a December 2017 workshop hosted by Mission-Aransas Reserve that explored ways to generate a return on investment from wetland preservation and restoration projects in Texas.

This website contains information and resources from a 2012 Collaborative Research project that sought to reduce the vulnerabilities of Maryland's Deal Island Peninsula area to the impacts of climate change by creating partnerships between communities, decision-makers, and scientists.

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.

This manual was developed as part of the Hudson River Sustainable Shorelines Project and describes simple, low-cost, representative methods for evaluating the function and integrity of ecologically enhanced shoreline projects.

Eleven projects have been recommended for funding by the National Oceanic and Atmospheric Administration ’s National Estuarine Research Reserve System (NERRS) Science Collaborative.