This report summarizes key findings from a 2019 workshop in New York that examined the potential ecological and physical impacts of constructing a surge barrier to protect the New York/New Jersey Harbor.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the December 2019 webinar Leveraging NERRS System-Wide Monitoring Program Data for Wetland Research and Management.
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Using Meta-Analysis for Large-Scale Ecosystem Service Valuation: Progress, Prospects, and Challenges
This paper, published in Agricultural and Resource Economics Review, stemmed from work completed as part of the Buffer Options for the Bay project in Great Bay, NH.
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the October 2019 webinar Evaluating the Impact of Hydrologic Alterations on Salt Marsh Sustainability in a Changing Climate.
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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 Master's thesis examines sediment accumulation in two disparate coastal environments, including the Hudson River Reserve, as part of a larger research project about marsh formation and resilience, sediment movement, and the potential impact of dam removals.
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The Credit for Going Green project team developed a toolkit to help partners share project results within their organizations and throughout their professional networks. These resources can be used to develop presentations, web content, newsletter articles, or social media posts about the project.
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This guide outlines a structured process to engage experts and develop timely, science-based solutions to environmental problems. The FAST process provides an iterative, weight-of-evidence approach for these experts to reach general agreement around technical recommendations.