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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 13
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 Estuaries and Coasts provides a synthesis of native oyster restoration projects conducted from California, USA, to British Columbia, Canada.

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.

Tool |

This advisory committee charter, developed for a National Estuarine Research Reserve project to evaluate a thin-layer placement as a strategy for marsh resilience, offers an example for engaging diverse end users in collaborative research.

Tool |

This document provides guidance on the use of thin-layer sediment placement (TLP) as a tool for tidal marsh resilience in the face of sea-level rise.

K-12 |

This collection of K-12 lesson plans, compiled by the Native Olympia Oyster Collaborative, features science, math, engineering, writing, art, and multidisciplinary lessons that invite students to explore various aspects of West coast native oysters.

Tool |

This Excel spreadsheet, developed by a 2011 Collaborative Research project team, allows you to evaluate the appropriateness of one or more sites for Olympia oyster restoration.

Journal Article |

This paper, published in Biological Conservation, describes an innovative approach developed by the NERRS to evaluate the ability of tidal marshes to thrive as sea levels rise.

Tool |

This tool is a novel approach to compare the resilience of different marshes to sea level rise.

Journal Article |

This 2017 article appeared in the journal Ecology, and presents findings from a study assessing the individual and synergistic effects of air temperature and salinity on Olympia oyster mortality across temporal patterns that accurately reflect the natural environment.