This report discusses methods and results from a project to sythesize salt marsh monitoring from four New England NERRs from 2010 to 2018.
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 2015 Collaborative Research project where Waquoit Bay Reserve is working with end users to test the applicability of a previously-developed model to accurately predict greenhouse gas fluxes across a wide range of coastal wetlands.
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This geodatabase of groundwater on the Kenai Peninsula, Alaska, can be used as a foundation for decision-making to determine the locations of aquifers and predict groundwater discharge to streams.
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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 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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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 dam sediment estimation tool, developed through the Dams and Sediment in the Hudson (DaSH) project, supports dam removal planning for the Lower Hudson River valley.
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This project overview describes a multi-year collaborative research project that analyzed a suite of living shoreline possibilities for South Carolina to help the state develop a living shoreline policy.
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Promoting Resilient Groundwater Resources and Holistic Watershed Management at the Kachemak Bay NERR
This project overview describes a 2017 Collaborative Research project where Kachemak Bay Reserve staff and local partners are developing a conceptual model and geospatial layer that can be used to predict specific locations where groundwater discharge and recharge occur.