This video was created by two high school students from the Alaska Native village of Tyonek, documenting their communities groundwater uses, and represents one output from engaging with students from a 2017 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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Through data-collection, mapping, and modeling efforts, a collaborative research project has increased clarity about marsh habitat change to inform mosquito control and coastal restoration efforts in New Jersey.
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This project overview describes a 2016 Collaborative Research project that designed and applied predictive models to better understand the buffering services provided by Piermont Marsh on New York's Hudson River.
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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 collection of graphics was developed to support the project's outreach and communications efforts and is being made available for use by others.
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The majority of plastic marine debris originates from the land and storm drains are one common entry point. Plastic trash easily slips through the drain and ends up in our waterways.
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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.
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This project overview describes a 2016 Collaborative Research project that assessed the ecosystem services of shellfish farming in the North Carolina National Estuarine Research Reserve.
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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.