Skip to main content

Resources

Resources

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

Displaying 51 - 60 of 181
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.

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.

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.

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 |

Multimedia |

This story map explores how boat wakes affect coastal vulnerability in small estuary channels in Florida's Atlantic Intracoastal Waterway.

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.

Project Overview |

This project overview describes a 2018 Catalyst project that conducted a collaborative, scientific modeling investigation to improve oyster population sustainability and management on Florida's Atlantic coast.

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.