GUIDE CASE STUDY: Collaborative science projects are designed to inform and catalyze action, but often those impacts do not develop until after a grant ends. Two project teams working with New England reserves found different ways to support the work of their partners after their grants ended.
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Keywords: enhance collaboration
Reserves: Great Bay, NH, Narragansett Bay, RI, Waquoit Bay, MA, Wells, ME
This resource is a collection of media materials developed for education and outreach for the NY-NJ Eel Partnership that emerged from a two-year science transfer project focused on community eel monitoring.
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Keywords: communication, community science, eels, education (place-based)
This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the October 2023 webinar "Building Capacity for Reserves to be Motus Wildlife Tracking Leaders."
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Keywords: shorebird habitat, climate change, estuarine habitat, wildlife, motus
Reserves: ACE Basin, SC, Grand Bay, MS, Hudson River, NY, San Francisco Bay, CA
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 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 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.
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.
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.