Slides and a video recording are available from a final stakholder meeting for a study that examined the buffering capacity of a shoreline marsh along Hudson River estuary.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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This project overview describes a 2018 Catalyst project that created the web-based toolkit Resilience Metrics to share lessons learned on successful climate adaptation planning within the National Estuarine Research Reserve System.
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This webinar for decision makers presents findings from a 2017 collaborative research project that developed a conceptual model for groundwater discharge and recharge on the Kenai Peninsula, Alaska.
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This project overview describes a 2017 Science Transfer project in which the southeastern National Estuarine Research Reserves created a region-wide, student-driven program for teachers to further understanding of estuary restoration.
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These sediment and hydrodynamic data were collected as part of the 2016-2020 collaborative research project Improved Understanding of Sediment Dynamics for the Coos Estuary that produced a new bathymetric dataset for Coos Bay and a hydrodynamic model characterizing sediment distribution and circulation in the estuary.
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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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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 exhibit panel, developed for the Oregon Institute of Marine Biology ’s Charleston Marine Life Center, gives an overview of shoreline and bathymetric change in the Coos Estuary over the past 150 years.
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This article, which appeared in Journal of Coastal Research in 2020, discusses the creation and field performance testing of a low-cost do-it-yourself (DIY) wave gauge.