This summary brochure describes thin-layer placement (TLP) as a strategy for marsh resilience, and National Estuarine Research Reserve System research and recommendations for TLP use.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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This collection of reports summarizes Surface Elevation Table (SET) data at fiften reserves. A technical report analyzing of surface elevation change and a summary for oureach purposes is provided for each reserve.
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These coastal hazard risk communication workshop materials can be used to help facilitate trainings for coastal decision makers.
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This webinar was originally presented on February 20, 2020 as part of the Restoration Webinar Series, hosted by the National Oceanic and Atmospheric Administration and U.S. Fish & Wildlife Service's National Conservation Training Center. Presenters: Kerstin Wasson, Beth Watson, and Kenny Raposa
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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 website contains information and resources from a 2012 Collaborative Research project that sought to reduce the vulnerabilities of Maryland's Deal Island Peninsula area to the impacts of climate change by creating partnerships between communities, decision-makers, and scientists.
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This project overview describes a 2012 Collaborative Research project that worked to enhance resilience on Maryland's Deal Island by building a stakeholder network and integrating research to understand how different management practices will impact marsh and community resilience.
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This document summarizes a tool developed by the NERRS to evaluate and compare the ability of tidal marshes to thrive as sea level rises.
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This paper, published in Biological Conservation, describes an innovative approach developed by the NERRS to evaluate the ability of tidal marshes to thrive as sea levels rise.