This article uses a hydrodynamic model of the Coos estuary in southwestern Orgeon to examine seasonal variability of salinity dynamics and estuarine exchange flow.
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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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This article discusses changes to the Coos estuary over the past 150 years, and their present and future impacts.
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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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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 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.
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This paper, published in International Journal of Applied Earth Observation and Geoinformation, describes results of three different mangrove mapping methods to evaluate the impacts of Hurricane Irma, a Category 3 storm that affected southwest Florida in September of 2017. The approach was tested on a very high resolution WorldView-2 satellite image.
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This article, published in Frontiers in Ecology and the Environment in 2018, synthesizes oyster restoration projects since 1964 on the US Atlantic and Gulf coasts and suggests a restoration paradigm to prioritize investment in sites that maximize economic and ecological benefits and minimize construction costs.