These marsh sustainability and hydrology datasets were collected as part of a 2017 collaborative research project.

This website, developed as part of a 2017 collaborative research project, describes the Marsh Sustainability and Hydrology project in detail and provides access to the MSH decision support tool.

This decision support tool, developed as part of a 2017 collaborative research project, allows users to select different combinations of tidal range, suspended sediment, ditch density, and sea-level rise variables and visualize predicted outcomes over different time frames.

This article, published in Frontiers in Marine Science in 2021, describes work done as part of a 2017-2020 collaborative research project conducted at Waquoit Bay Reserve in Massachusetts. The article explores the impacts of oyster aquaculture on nitrogen removal by examining bacterial processes in sediments underlying three of the most common aquaculture methods that vary in the proximity of oysters to the sediments.

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 resource contains the presenter slides, Q&A responses, recording, and presenter bios from the November 2020 webinar Measuring Climate Adaptation Success and Progress: Introduction to the Resilience Metrics Toolkit

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 article, published in Stormwater Magazine in September 2020, describes how an expert panel process helped develop performance curves to assign regulatory credit for restored or constructed buffers as water quality best management practices.

These five related carbon storage, greenhouse gas flux and environmental variable datasets were generated by the Bringing Wetlands to Market research team and used to develop a coastal wetland greenhouse gas model for New England.