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.
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A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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These datasets contain sediment core samples from dam impoundments on tributaries to the Hudson River and tidal wetland complexes in the Hudson River estuary, collected as part of the 2016-2020 collaborative research project Dams and Sediment on the Hudson (DaSH).
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the June 2020 webinar Credit for Going Green: Using an Expert Panel Process to Quantify the Benefits of Buffers.
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This case study discusses an example of an Ecosystem Services Conceptual Model for cultural services at Heʻeia National Estuarine Research Reserve in Hawaii.
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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 case study discusses an example of an Ecosystem Services Conceptual Model for oyster reef restoration at National Estuarine Research Reserve sites in North Carolina.
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These case studies, part of a Resilience Metrics toolkit, show how particular communities have defined and tracked their progress on climate adaptation goals.
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the May 2020 webinar Collaborative Science in a Virtual World: Recognizing Limits and Leveraging Opportunities.
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the April 2020 webinar Restoring Native Oysters on North America's West Coast.
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the March 2020 webinar Estimating Long-term Phosphorous Retention Capacity of Riverine and Coastal Wetlands.