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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Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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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 that facilitated the development of a collaborative research agenda to study the ecological and physical impacts of storm surge barriers on the Hudson River Estuary.
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This project overview describes the Dams and Sediment in the Hudson collaborative research project that assessed how sediment released by dam removals would affect the Hudson River estuary and provide practical tools to regulators and practitioners.
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The joint probability method (JPM) is the traditional way to determine the base flood elevation due to storm surge, and it usually requires simulation of st
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the September 2019 webinar Accelerating Collective Learning and Action for Enhanced Climate Resilience.
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This project overview describes a 2018 Science Transfer project where 13 reserves are sharing their experiences in managing conflict during collaborative research projects and synthesizing lessons learned.
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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.