This project overview describes a 2018 Catalyst project that conducted a collaborative, scientific modeling investigation to improve oyster population sustainability and management on Florida's Atlantic coast.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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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 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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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the March 2021 webinar Understanding the Role Coastal Marshes Play in Protecting Communities from Storm Surge and Flooding.
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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.
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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 2018 Catalyst project led by Grand Bay Reserve that developed standardized tools to quality-check, analyze, and visualize Surface Elevation Table data.