Jobos Bay - Photo credit: NOAA
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.
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.
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.
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.
This how-to guide describes how to synthesize salt marsh monitoring data from the National Estuarine Research Reserve System.
This how-to guide describes how to integrate plant cover data from two common methods of estimating marsh plant cover.
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.
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.
This webinar, conducted June 30, 2020, presents research findings from the 2018-2020 catalyst project Assessing the Physical Effects of Storm Surge Barriers on the Harbor and Hudson River Estuary.
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).
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.
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.
This open-access article, published Geophysical Research Letters in 2020, uses turbidity observations to characterize estuary response following extreme discharge such as from storm-related flooding, which can be a proxy for sediment release from dam removals.
This article, submitted for publication to Earth Surface Processes and Landforms in 2020, describes findings from the Dams and Sediment in the Hudson (DaSH) project related to tidal wetland growth in the Hudson River estuary as a result of human activities. It presents sediment accumulation rates in marshes along the Hudson and reveals the rapid growth of marshes associated with anthropogenic structures.
This factsheet summarizes findings from the Dams and Sediment in the Hudson (DaSH) collaborative research project.
This factsheet summarizes findings from the Dams and Sediment in the Hudson (DaSH) collaborative research project related to sediment trapped behind dams and sediment supply in the Hudson River estuary
This factsheet summarizes findings from the Dams and Sediment in the Hudson collaborative research project related to tidal wetlands in the Hudson River estuary.
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.
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.
This project overview describes a 2016 Science Transfer project where staff members from the North Carolina National Estuarine Research Reserve are being trained in the application of the CCVATCH tool to assess the vulnerabilities of local coastal habitats to climate change.