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 factsheet describes the process of environmental DNA (eDNA) water sampling in estuarine systems, and provides specific methdology recommendations to facilitate detection of invasive species.

This data resource includes eDNA sequences, fish species summary tables, and DNA extractions from Wells, Great Bay, Hudson, Apalachicola, South Slough, and Heʻeia National Estuarine Research Reserves.

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 article, which appeared in Global Change Biology, discusses findings from a study that quantified total ecosystem carbon stocks of major tidal wetland types in the Pacific Northwest.

These tidal wetland carbon stocks and environmental driver data were collected as part of the 2016-2019 collaborative research Pacific Northwest Carbon Stocks and Blue Carbon Database Project.

This needs assessment of conservation policy stakeholders in the Pacific Northwest identified data needs and barriers for potential blue carbon project partners.

This national synthesis report analyzes SET data from 15 National Estuarine Research Reserves across the continental United States, summarizing wetland water level trends over a 19-year period.

A 2018 catalyst project developed tools for working with SET data including a series of computer codes - R scripts - for processing, quality checking, analyzing and visualizing these complex datasets. The statistical codes re available through GitHub and are explained in a Guide to the SETr Workflow.