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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 84
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.
Tool |
The Connect to Protect project team created this project sustainability plan so that team members could evaluate which science transfer activities should continue, prioritize next steps, and consider ways the work can continue with and without additional funding.
Tool |
GUIDE RESOURCE: This action plan, which emerged through user engagement around the Great Bay Estuary, provides an example of how planning early for end-of-project transitions can successfully fuel future projects with partners.
Journal Article |
Abstract

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

Tool |

Report |

Recommendations for the NERRS SWMP, summarizing outputs in an archivable format deemed useful by end users (NERRS research staff).

Webinar Summary |
About the project

Research staff from 12 reserves assessed sensor performance by comparing field and laboratory sensor measurements to concentrations of chlorophyll extracted from water samples.

Multimedia |
Poster presented at the November 2020 NERRS Annual Meeting - Silas Tanner Poster presented at the February 2021 GTMNERR State of the Reserve Sympos
Journal Article |

This article, published in JGR Oceans in 2020, describes the use of a high-resolution model of water and sediment dynamics used in the Coos Bay estuary in Oregon to assess how 150 years of modification have altered sediment storage and transport.

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.