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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 27
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This tool provides a framework for discussing a range of criteria when evaluating locations for shellfish aquaculture.

Webinar Summary |

This resource contains the webinar recording as well as the presenter slides and Q&A responses from the September 2020 webinar Dams and Sediment in the Hudson.

Tool |

This curriculum was developed as part of a 2018 Science Transfer project to share knowledge and lessons learned about managing conflict in collaborative science.

Tool |

This advisory committee charter, developed for a National Estuarine Research Reserve project to evaluate a thin-layer placement as a strategy for marsh resilience, offers an example for engaging diverse end users in collaborative research.

Tool |

This dam sediment estimation tool, developed through the Dams and Sediment in the Hudson (DaSH) project, supports dam removal planning for the Lower Hudson River valley.

Tool |

These generalized Ecosystem Services Conceptual Models and metrics for mangrove and oyster reef habitat restoration are designed to help coastal managers incorporate ecosystem services into their coastal decision-making processes.

Tool |

This workshop facilitation guide is designed to help coastal resource managers and practitioners incorporate ecosystem services into their coastal decision-making processes.

Tool |

These facilitation guides and job aids, part of a Resilience Metrics toolkit, provide tools and activities for each step of the process to develop and track metrics of adaptation success.

Tool |

This document provides guidance on the use of thin-layer sediment placement (TLP) as a tool for tidal marsh resilience in the face of sea-level rise.

Webinar Summary |

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the February 2020 webinar Resilience Dialogues: Strategies for Conflict Management in Collaborative Science.