Jobos Bay - Photo credit: NOAA
These tidal wetland carbon stocks and environmental driver data were collected as part of the 2016-2019 collaborative research Pacific Northwest Carbon Stocks and Blue Carbon Database Project.
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.
This document summarizes the discussion and Q&A from the May 2020 panel webinar Collaborative Science in a Virtual World: Recognizing Limits and Leveraging Opportunities. The document also includes tables listing common challenges for virtual collaboration, useful strategies and tips, and resources suggested by panelists and participants.
These datasets and statistical analysis codes model surge barrier effects on the Hudson River estuary, developed as part of the 2018 catalyst project Assessing the Physical Effects of Storm Surge Barriers on the Harbor and Hudson River Estuary.
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.
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.
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.
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.