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Resources

Resources

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

Displaying 51 - 60 of 208
Journal Article |

This 2022 paper which appeared in Nature discusses a modeling approach to examine the marsh ’s buffering capacity in a changing climate (from 2020 to 2100), considering a potential marsh restoration plan (from 2020 to 2025) and potential marsh loss due to sea-level rise.

Tool |

This tool provides an overview of acoustic monitoring in aquatic ecosystems, including sources of sound, metrics for measurement, data collection and analysis, and applications for habitat assessment, stewardship, and education.

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.

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 |

K-12 |

This web resources includes a compilation of lesson plans for grades K - 12 about coastal and estuarine ecology that are intended to complement programs that involve schools in local wetland restoration projects.

Journal Article |

This open access article describes an assessment of the storm buffering services provided by Piermont Marsh, New York.

Project Overview |

This project overview describes a 2016 Collaborative Research project that designed and applied predictive models to better understand the buffering services provided by Piermont Marsh on New York's Hudson River.