Skip to main content

Resources

Resources

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

Displaying 1 - 10 of 52
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.
Tool |
The Connect to Protect project team created this project sustainability plan so that team members could evaluate which science transfer activities should continue, prioritize next steps, and consider ways the work can continue with and without additional funding.
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.
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.

Tool |

Multimedia |
Poster presented at the November 2020 NERRS Annual Meeting - Silas Tanner Poster presented at the February 2021 GTMNERR State of the Reserve Sympos
Tool |

This guide is designed to be a resource for current and potential oyster growers that want to understand and maximize the water quality benefits of their aquaculture operations.

Multimedia |

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.

Multimedia |

Tool |

This decision support tool, developed as part of a 2017 collaborative research project, allows users to select different combinations of tidal range, suspended sediment, ditch density, and sea-level rise variables and visualize predicted outcomes over different time frames.