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.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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This proposal development tool provides a set of tips for collaborative research grant applicants to consider at the pre-proposal stage of the application process.
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the November 2019 webinar Community Collaboration: A Locally Driven Approach to Estuarine Management.
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Degradation of coastal habitats has led to major declines in oyster reefs and coastal wetlands. Coastal restoration efforts are critical to restoring these habitats, but they often include little to no monitoring and evaluation of success.
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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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The Coos Bay estuary is one of Oregon's most important ecological resources, valued by surrounding communities for its abundant, diverse natural resources and economic and cultural significance.
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Many members of the NERRS community will be attending the Coastal & Estuarine Research Federation (CERF) Conference in Mobile, Alabama from November 3-7, 2019.
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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These video modules introduce the conceputs and vocabulary of estuary ecology using American Sign Language. Five videos are available for the following topics: Watersheds, Water Quality, Water Quality Monitoring, Estuary Values, and Sea Level Rise.
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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