Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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This 2022 paper which appeared in Nature discusses a modeling approach to examine the marsh ’s buffering capacity in a changing climate (from 2020 to 2100), considering a potential marsh restoration plan (from 2020 to 2025) and potential marsh loss due to sea-level rise.
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This resource includes links to five datasets generated by a collaborative research project that measured nitrogen removal from oyster aquaculture using complement biogeochemistry and genetic methods.
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This open access article describes an assessment of the storm buffering services provided by Piermont Marsh, New York.
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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.
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This outreach tool summarizes the key takeways for a project that assessed the value of a coastal marsh in protecting coastal communities from storm surge and flooding amid a changing climate.
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This article, published in Scientific Reports in 2021, describes work done as part of a 2016-2020 collaborative research project conducted at Hudson River Reserve in New York. The article describes a regression model that can be used for wetland restoration planning to help reduce storm-related structural damage.
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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.
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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.
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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.