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Resources

Resources

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

Displaying 31 - 40 of 107
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.

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 |

Journal Article |

This 2021 article which appeared in Ecological Engineering explores the potential for large-scale breakwaters to preserve fringing marsh vegetation in high wave energy environments.

Webinar Summary |

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the April 2021 webinar Promoting Resilient Groundwater and Holistic Watershed Management in Alaska ’s Kenai Lowlands.

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.

Project Overview |

This project overview describes a 2018 Catalyst project led by Grand Bay Reserve that developed standardized tools to quality-check, analyze, and visualize Surface Elevation Table data.

Webinar Summary |

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the November 2020 webinar Measuring Climate Adaptation Success and Progress: Introduction to the Resilience Metrics Toolkit

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.