This dam sediment estimation tool, developed through the Dams and Sediment in the Hudson (DaSH) project, supports dam removal planning for the Lower Hudson River valley.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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These facilitation guides and job aids, part of a Resilience Metrics toolkit, provide tools and activities for each step of the process to develop and track metrics of adaptation success.
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the February 2020 webinar Resilience Dialogues: Strategies for Conflict Management in Collaborative Science.
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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 project led by Elkorn Slough National Estuarine Research Reserve to communicate the results of a recent national synthesis of NERR Sentinel Site data on marsh resilience to sea level rise.
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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 tool is a novel approach to compare the resilience of different marshes to sea level rise.
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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.
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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.