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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 92
Tool |
This toolkit organizes and consolidates content from a combination of literature reviews, SWMP data interpretation, and interviews and exhibit evaluations at multiple reserves into a comprehensive package of resources that is accessible to all education coordinators and exhibit designers in the Reserve System.
Journal Article |
Abstract

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

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.

Tool |

This guide is designed to be a resource for current and potential oyster growers that want to understand and maximize the water quality benefits of their aquaculture operations.

Journal Article |

This 2021 article which appeared in Geophysical Research Letters describes a study that took a novel approach to characterize soil organic carbon accumulation supporting marsh elevation maintenance as part of a 2017-2020 collaborative research project.

Multimedia |

These explainer videos, developed as part of a 2017 collaborative research project, help explain the motivation for the project, the approach, and the decision support tool and its application.

Multimedia |

Data |

This resource includes links to five datasets generated by a collaborative research project that measured nitrogen removal from oyster aquaculture using complement biogeochemistry and genetic methods.

Journal Article |

This 2020 article which appeared in Estuaries and Coasts describes a study that evaluated rates of gross oxygen production over different time scales in a shallow temperate salt marsh pond as part of a 2017-2020 collaborative research project.

Journal Article |

This 2020 article which appeared in Geomorphology describes a model to predict marsh pond dynamics in New England salt marshes that was developed as part of a 2017-2020 collaborative research project .