This factsheet summarizes findings from the Dams and Sediment in the Hudson (DaSH) collaborative research project related to sediment trapped behind dams and sediment supply in the Hudson River estuary
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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This factsheet summarizes findings from the Dams and Sediment in the Hudson collaborative research project related to tidal wetlands in the Hudson River estuary.
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This website houses the Rapid Assessment Protocol for assessing the physical and ecological performance of nature-based engineered shoreline structures. You can also access additional resources associated with the Hudson River Sustainable Shorelines Project, including demonstration site case studies along the Hudson River.
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the April 2019 webinar New Research to Inform Living Shoreline Design, Placement and Monitoring.
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This dataset includes a suite of measures of ecological and physical functions of built sustainable shoreline structures at a set of demonstration sites along the Hudson River.
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This project overview describes a 2015 Collaborative Research project that is developing and field-validating rapid assessment protocols for physical and ecological functions of ecologically-enhanced shorelines.
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This project overview describes a 2015 Science Transfer project that developed products to support New York State decision makers considering nature-based shoreline approaches and other natural resilience measures.
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This manual was developed as part of the Hudson River Sustainable Shorelines Project and describes simple, low-cost, representative methods for evaluating the function and integrity of ecologically enhanced shoreline projects.
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As part of the 2010 Hudson River Sustainable Shorelines project, the project team conducted this forensic analysis of six sites on the Hudson River to study how each site responded to severe storms.