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Resources

Resources

A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.

Displaying 1 - 10 of 100
Multimedia |
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.
Tool |
This toolkit organizes and consolidates content from a combination of literature reviews, SWMP data interpretation, and interviews and exhibit evaluations at multiple reserves into a comprehensive package of resources that is accessible to all education coordinators and exhibit designers in the Reserve System.
Journal Article |
Abstract

Gated storm surge barriers have been constructed or proposed in many estuaries worldwide for coastal flood risk reduction.

Journal Article |
Abstract

Rising coastal flood risk and recent disasters are driving interest in the construction of gated storm surge barriers worldwide, with current studies recommending barriers for at least 11 estuaries in the United States alone.

Factsheet |
About the project

The National Estuarine Research Reserve System plays an important socio-ecological role for public engagement, science and management focused on key estuarine habitats.

Journal Article |

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.

News |

Journal Article |

This 2021 article which appeared in Ecological Engineering explores the potential for large-scale breakwaters to preserve fringing marsh vegetation in high wave energy environments.

Journal Article |

This open access article describes an assessment of the storm buffering services provided by Piermont Marsh, New York.

Project Overview |

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.