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.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
Displaying 21 - 30 of 114See Keywords and Reserves
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.
See Keywords and Reserves
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.
See Keywords and Reserves
See Keywords and Reserves
This open access article describes an assessment of the storm buffering services provided by Piermont Marsh, New York.
See Keywords and Reserves
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.
See Keywords and Reserves
This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the March 2021 webinar Understanding the Role Coastal Marshes Play in Protecting Communities from Storm Surge and Flooding.
See Keywords and Reserves
This outreach tool summarizes the key takeways for a project that assessed the value of a coastal marsh in protecting coastal communities from storm surge and flooding amid a changing climate.
See Keywords and Reserves
This article, published in Scientific Reports in 2021, describes work done as part of a 2016-2020 collaborative research project conducted at Hudson River Reserve in New York. The article describes a regression model that can be used for wetland restoration planning to help reduce storm-related structural damage.
See Keywords and Reserves
This data resource includes marsh vegetation, water level data and modeling outputs from a project that examined how Piermont Marsh in New York buffers the impacts of storms.