Resource Library
Jobos Bay - Photo credit: NOAA
This instructional and informational webinar features background information on the 2020 science transfer Storm Stories project, how end-user feedback was incorporated, the tools and products that have been developed through the project, and how reserves can access resources.
This 2022 paper which appeared in Nature discusses a modeling approach to examine the marsh’s buffering capacity in a changing climate (from 2020 to 2100), considering a potential marsh restoration plan (from 2020 to 2025) and potential marsh loss due to sea-level rise.
This 2021 paper from the University of South Florida discusses how machine learning was used to map aquifers throughout the Kenai Lowlands to locate groundwater discharge, providing a framework to extend this method of modeling groundwater to other reserves.
This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the December 2021 webinar Evaluating the Impact of Hydrologic Alterations on Salt Marsh Sustainability in a Changing Climate.
This factsheet, written as a resource for a three-year Collaborative Research project, describes measures and proposed management plans for marsh resilience to create a long-term monitoring programs and national-level synthesis efforts.
This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the September 2021 webinar Improved Understanding of Sediment Dynamics for the Coos Estuary.
This story map explores how boat wakes affect coastal vulnerability in small estuary channels in Florida's Atlantic Intracoastal Waterway.
This 2021 article which appeared in Geophysical Research Letters describes a study that took a novel approach to characterize soil organic carbon accumulation supporting marsh elevation maintenance as part of a 2017-2020 collaborative research project.
These explainer videos, developed as part of a 2017 collaborative research project, help explain the motivation for the project, the approach, and the decision support tool and its application.
This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the April 2021 webinar Promoting Resilient Groundwater and Holistic Watershed Management in Alaska’s Kenai Lowlands.
This open access article describes an assessment of the storm buffering services provided by Piermont Marsh, New York.
This poster, created by a Hollings Scholar who worked with Kachemak Bay NERR on a 2017 collaborative research project, describes the project and results.
This video was created by two high school students from the Alaska Native village of Tyonek, documenting their communities groundwater uses, and represents one output from engaging with students from a 2017 collaborative research project.
This project overview describes a 2016 Collaborative Research project that designed and applied predictive models to better understand the buffering services provided by Piermont Marsh on New York's Hudson River.
This 2020 article which appeared in Estuaries and Coasts describes a study that evaluated rates of gross oxygen production over different time scales in a shallow temperate salt marsh pond as part of a 2017-2020 collaborative research project.
This 2020 article which appeared in Geomorphology describes a model to predict marsh pond dynamics in New England salt marshes that was developed as part of a 2017-2020 collaborative research project .
This 2020 article which appeared in the Journal of Geophysical Research: Biogeosciences describes a study that examined pond development and properties in salt marshes in order to better characterize them under different management and sea level rise scenarios as part of a 2017-2020 collaborative research project.
This 2019 article, which appeared in Nature Geoscience, suggests the importance of the integration of decomposition mechanisms into blue carbon models for predicting soil organic carbon stores. These findings were generated as part of a 2017-2020 collaborative research project.
These marsh sustainability and hydrology datasets were collected as part of a 2017 collaborative research project.