Through a 2020 catalyst project, university, reserve, and restoration practitioners partnered to understand social perceptions of saltmarsh restoration in Oregon to identify ways to better incorporate socially relevant information in restoration metrics, increase outreac

Through a 2020 catalyst project, university, reserve, and restoration practitioners partnered to understand social perceptions of saltmarsh restoration in Oregon to identify ways to better incorporate socially relevant information in restoration metrics, increase outreac

This report summarizes five cultural ecosystem service assessment methods piloted by the 2020 catalyst project, Cultural Ecosystem Services in Estuary Stewardship and Management.

Recommendations for the NERRS SWMP, summarizing outputs in an archivable format deemed useful by end users (NERRS research staff).

This project overview describes a 2017 Collaborative Research project that is piloting and refining DNA-based monitoring protocols that can be applied to specific issues and species of interest in estuarine ecosystems.

This project overview describes a 2018 Catalyst project led by Grand Bay Reserve that developed standardized tools to quality-check, analyze, and visualize Surface Elevation Table data.

This project overview describes a 2016 Collaborative Research project in which researchers are conducting the first-ever comprehensive blue carbon assessment in Pacific Northwest tidal wetlands.

This project overview describes a 2018 Catalyst project that demonstrated the feasibility of including carbon finance in funding strategies that support the conservation and restoration of tidal wetlands in the Pacific Northwest.

This project overview describes a 2018 Catalyst project that created the web-based toolkit Resilience Metrics to share lessons learned on successful climate adaptation planning within the National Estuarine Research Reserve System.

This project overview describes a 2017 Collaborative Research project where Kachemak Bay Reserve staff and local partners are developing a conceptual model and geospatial layer that can be used to predict specific locations where groundwater discharge and recharge occur.