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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 33
Webinar Summary |
This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the November 2023 webinar "Estuaries past, present and future."
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."
News |

Seventeen projects involving 27 reserves across the nation and totaling more than $2 million have been recommended for support by NOAA’s National Estuarine Research Reserve System (NERRS) Science Collaborative.

Journal Article |
Abstract

Thin-layer sediment placement (TLP) is a promising management tool for enhancing tidal marsh resilience to rising seas.

Multimedia |

This five-minute video shows the January 5, 2023 flooding on North San Pedro Road in China Camp State Park, San Rafael California during an atmospheric river event. The road also floods during winter king tides that raise water levels in San Francisco Bay.

Webinar Summary |

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the February 2022 webinar, Fostering Partnerships, the Foundation of Collaborative Science.

Factsheet |

This factsheet, written as a resource for a three-year Collaborative Research project, describes measures and proposed management plans for marsh resilience to create a long-term monitoring programs and national-level synthesis efforts.

News |

Project Overview |

This project overview describes a 2017 Collaborative Research project that is piloting and refining DNA-based monitoring protocols that can be applied to specific issues and species of interest in estuarine ecosystems.

Data |

This dataset contains processed Surface Elevation Table data from five reserves along with metadata, R scripts, reports, and figures, illustrating how SET can be processed, analyzed and visualized.