This Coos Estuary and Shoreland Atlas contains a series of maps and tables analyzing current natural resource, natural hazard, and socio-economic data within the Coos Bay Estuary Management Plan boundaries.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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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.
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This proposal development tool provides a set of tips for collaborative research grant applicants to consider at the pre-proposal stage of the application process.
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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.
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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.
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The Fisheries Resilience Index is a self-assessment tool developed for Alaska fishery industry leaders and businesses.
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This step-by-step tutorial demonstrates how to do a shoreline erosion assessment using common software.
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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.
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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.
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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.