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Resources

Resources

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

Displaying 41 - 50 of 176
Tool |

With funding from the NERRS Science Collaborative, scientists from 12 biogeographically diverse Reserves compared fluorescence measurements taken by the YSI EXO TAL sensor to extracted chlorophyll concentrations processed in the lab.

Tool |

Standardized protocols for sensor-based chlorophyll monitoring are now available for use by staff around the system to implement high frequency chlorophyll monitoring at their reserves.

Report |

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

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

Project Lead Nikki Dix (Guana Tolomato Matanzas National Estuarine Research Reserve) gives a 5-minute introduction to "Refining Techniques for High-frequency Monitoring of Chlorophyll Alpha in the NERRS," a catalyst project funded in 2020 by the NERRS Science Collaborative.

Webinar Summary |

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the June 2022 webinar "Drone the SWMP: Assessing the Utility of Drones for Monitoring Coastal Wetlands."

Multimedia |

This instructional and informational webinar features background information on the 2020 science transfer Storm Stories project, how end-user feedback was incorporated, the tools and products that have been developed through the project, and how reserves can access resources.

Webinar Summary |

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the April 2022 webinar "Refining Techniques for High-Frequency Monitoring of Chlorophyll."

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.

Journal Article |

This 2021 paper from the University of South Florida discusses how machine learning was used to map aquifers throughout the Kenai Lowlands to locate groundwater discharge, providing a framework to extend this method of modeling groundwater to other reserves.