This 2019 article, which appeared in Nature Geoscience, suggests the importance of the integration of decomposition mechanisms into blue carbon models for predicting soil organic carbon stores. These findings were generated as part of a 2017-2020 collaborative research project.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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These marsh sustainability and hydrology datasets were collected as part of a 2017 collaborative research project.
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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.
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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.
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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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The NERRS Science Collaborative manages a national competitive research program that supports collaborative science projects addressing critical coastal management needs.
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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 journal article describes a new approach for statistically modeling boat wakes, which can help managers better understand how boat traffic impacts shoreline erosion and sediment transport.
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This data resource includes marsh vegetation, water level data and modeling outputs from a project that examined how Piermont Marsh in New York buffers the impacts of storms.