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Resources

Resources

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

Displaying 11 - 20 of 121
Tool |
GUIDE RESOURCE: This action plan, which emerged through user engagement around the Great Bay Estuary, provides an example of how planning early for end-of-project transitions can successfully fuel future projects with partners.
Webinar Summary |
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."
Multimedia |
About the project

Ecosystem service assessments are a top priority at many reserves in the National Estuarine Research Reserve System.

Multimedia |

Cultural ecosystem services (CES), one of four main categories of ecosystem services, are often described as the non-material benefits that humans receive from their interactions with the environment.

Report |

This white paper, developed by a 2020 catalyst project, provides an overview of expanding and deepening the application of cultural ecosystem services in the National Estuarine Reserve System.

Report |

This report summarizes five cultural ecosystem service assessment methods piloted by the 2020 catalyst project, Cultural Ecosystem Services in Estuary Stewardship and Management.

Website |

Educators from the Chesapeake Bay National Estuarine Research Reserve in Virginia (CBNERRVA) and the Virginia Institute of Marine Science's (VIMS) Marine Advisory Program cre

Webinar Summary |

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the September 2022 webinar "Cultural Ecosystem Services in Estuary Stewardship and Management."

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.

Journal Article |

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.