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.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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The Native Olympia Oyster Collaborative brochure Restoring Resilient Native Oysters from Baja California to British Columbia provides an introduction to Olympia oyster restoration for general audiences.
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This report provides foundational science and social context to inform the development of adaptation options for a low-lying road in China Camp State Park, along San Francisco Bay, CA.
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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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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.
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These public outreach materials discuss ecosystem services and the benefits to people from coastal habitats such as oyster reef and mangrove.
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These middle school lessons discuss ecosystem services and the benefits to people from coastal habitats such as oyster reef and mangrove.
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This case study discusses an example of an Ecosystem Services Conceptual Model for mangrove habitat restoration at Rookery Bay National Estuarine Research Reserve in Florida.
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This online ecosystem services toolkit is designed to help coastal resource managers incorporate ecosystem services into decision-making processes and habitat restoration projects.
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This workshop facilitation guide is designed to help coastal resource managers and practitioners incorporate ecosystem services into their coastal decision-making processes.