This dataset compiles salt marsh monitoring from four New England NERRs from 2010 to 2018, as part of a catalyst project to sythesize and identify regional trends in salt marsh data in the reserve system.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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This how-to guide describes how to synthesize salt marsh monitoring data from the National Estuarine Research Reserve System.
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This how-to guide describes how to integrate plant cover data from two common methods of estimating marsh plant cover.
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This project overview describes a 2018 Catalyst project that created an Olympia oyster restoration network to enhance the success of West Coast restoration efforts.
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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 project overview describes a 2018 catalyst project led by the San Francisco Bay Reserve that brought together key stakeholders and decision makers to advance adaptation planning for a low-lying coastal road at China Camp State Park.
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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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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.