This project overview describes a 2012 Collaborative Research project that established the Partnership for Coastal Watersheds, a group of local stakeholders that represents diverse interests in Oregon's Coos Bay.

This project overview describes a 2012 Collaborative Research project that assessed the ability and cost-effectiveness of marsh restoration designs to remove nitrogen pollution from stormwater runoff.

This project overview describes a 2016 Integrated Assessment project that is looking at how to create a modernized land use plan for Oregon's Coos Bay Estuary that balances responsible economic development, social interests, and protection of natural resources.

This project overview describes a 2016 Collaborative Research project that filled information gaps and modeled estuarine circulation and sediment distribution in Oregon's Coos estuary.

This project overview describes a 2018 Science Transfer project where 13 reserves are sharing their experiences in managing conflict during collaborative research projects and synthesizing lessons learned.

This project overview describes a Collaborative Research project that evaluated several coastal restoration designs at the Weeks Bay National Estuarine Research Reserve.

This project overview describes a 2015 Collaborative Research project that is developing and field-validating rapid assessment protocols for physical and ecological functions of ecologically-enhanced shorelines.

This project overview describes a 2015 Science Transfer project where the four Northeast reserves used CCVATCH to conduct vulnerability assessments of coastal habitats in their reserves.

This project overview describes a 2015 Science Transfer project that developed products to support New York State decision makers considering nature-based shoreline approaches and other natural resilience measures.

This project overview describes a 2015 Science Transfer project that produced tools, graphical support, and training for research staff at the Mid-Atlantic reserves to better utilize reserve monitoring data.