The Coos Bay estuary is one of Oregon's most important ecological resources, valued by surrounding communities for its abundant, diverse natural resources and economic and cultural significance.

This report presents the outcomes of a community stakeholder process in which participants engaged in an expert-facilitated and community-based approach to develop sea level rise adaptation options for a low-lying road in China Camp State Park, along San Francisco Bay, CA.

The Fisheries Resilience Index is a self-assessment tool developed for Alaska fishery industry leaders and businesses.

This step-by-step tutorial demonstrates how to do a shoreline erosion assessment using common software.

This collection of resources provides instructions for a user-friendly, low-cost tool to estimate wave energy. It was produced by Eric Sparks' team as part of a collaborative research project to evaluate coastal restoration designs.

James Arnott's dissertation contributes new, more extensive empirical data and analysis about the drivers and mechanisms of co-production with the aim to better understand how to accelerate the development of actionable sustainability science.

This Master's thesis examines sediment accumulation in two disparate coastal environments, including the Hudson River Reserve, as part of a larger research project about marsh formation and resilience, sediment movement, and the potential impact of dam removals.

This thesis represents the first study to examine a full individual energy budget for the triploid Eastern oyster, Crassostrea virginica, with implications for shellfish aquaculture in the southeastern United States.

This report summarizes the results of a multi-year collaborative research project that evaluated a range of living shoreline projects in South Carolina. The results and guidance are intended to provide agency partners with the science-based information to create a regulatory pathway and develop project standards for living shorelines in South Carolina.

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.