This dataset includes a suite of measures of ecological and physical functions of built sustainable shoreline structures at a set of demonstration sites along the Hudson River.

This workshop report summarizes the March 2019 scoping session for a collaborative project to assess the potential effects of storm surge barriers on the Hudson River estuary.

These slides summarize a webinar given by Maggie Pletta of the Delaware Reserve on March 12, 2019, about the development of new, innovative visitor displays at three reserves, partnering with students at the University of Delaware to produce gesture-controlled, educational computer games.

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 project overview describes a 2013 Collaborative Research project that refined and piloted the Climate Change Vulnerability Assessment Tool for Coastal Habitats ("CCVATCH").

This project overview describes a 2012 Collaborative Research project that worked to enhance resilience on Maryland's Deal Island by building a stakeholder network and integrating research to understand how different management practices will impact marsh and community resilience.

This project overview describes a 2013 project that created an online portal for scientists and fisheries managers to share and use data on larval fish recruitment and environmental variables.