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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 30
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 factsheet, developed by a 2020 catalyst project, provides a brief overview of CES frameworks and categories to complement the information contained in the factsheet “Expanding and Deepening the Application of Cultural Ecosystem Services in Estuary Stewardship and Management ”.

Tool |

This factsheet, developed by a 2021 catalyst project, summarizes information to strengthen the conceptual foundation and meaningful application of cultural ecosystem services (CES) in the NERRS.

Case Study |

This factsheet, developed as part of a 2020 catalyst project, consolidates case studies of applied CES assessments.

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.

Data |

This data resource includes eDNA sequences, fish species summary tables, and DNA extractions from Wells, Great Bay, Hudson, Apalachicola, South Slough, and Heʻeia National Estuarine Research Reserves.

Case Study |

These four case studies give examples of four best practices for conflict management in collaborative science. They were developed as part of the Resilience Dialogues project to share lessons learned about effective collaboration from within the National Estuarine Research Reserve System.

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.

Case Study |

This case study discusses an example of an Ecosystem Services Conceptual Model for cultural services at Heʻeia National Estuarine Research Reserve in Hawaii.

Tool |

This GitHub Repository houses the statistical code, a model interface and example datasets to enable others to calcuate the retention capacity of a wetland.