This curriculum was developed as part of a 2018 Science Transfer project to share knowledge and lessons learned about managing conflict in collaborative science.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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Thin-layer placement (TLP) is an emergent climate adaptation strategy that mimics natural deposition processes in tidal marshes by adding a small amount of sediment on top of marsh in order to maintain elevation relative to sea level rise.
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This advisory committee charter, developed for a National Estuarine Research Reserve project to evaluate a thin-layer placement as a strategy for marsh resilience, offers an example for engaging diverse end users in collaborative research.
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This story map and K-12 activity invites students to explore coastal marsh vulnerability to sea level rise and a collaborative experiment to enhance marsh resilience at the Chesapeake Bay National Estuarine Research Reserve in Virginia.
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This project overview describes a 2017 science transfer project that developed a risk communication training for reserves to build risk communication capacity in four coastal communities.
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This project overview describes a 2018 Catalyst project where researchers from Duke University and the North Carolina and Rookery Bay reserves partnered to develop ecosystem services models for coastal habitats.
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This national synthesis report analyzes SET data from 15 National Estuarine Research Reserves across the continental United States, summarizing wetland water level trends over a 19-year period.
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This paper, published in Remote Sensing in 2020, describes a new satellite-based habitat mapping technique that was tested at Rookery Bay NERR in southwest Florida.
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A 2018 catalyst project developed tools for working with SET data including a series of computer codes - R scripts - for processing, quality checking, analyzing and visualizing these complex datasets. The statistical codes re available through GitHub and are explained in a Guide to the SETr Workflow.