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Resources

Resources

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

Displaying 21 - 30 of 189
Multimedia |

Staff from the Kachemak Bay NERR expanded research collaborations and completed proof of concept activities to catalyze future research on the mechanisms of paralytic shellfish toxin transfer from forage fish to upper trophic populations– an increasing concern after statewide seabird die-offs and

Report |

This white paper, developed by a 2020 catalyst project, provides an overview of expanding and deepening the application of cultural ecosystem services in the National Estuarine Reserve System.

Report |

This report summarizes five cultural ecosystem service assessment methods piloted by the 2020 catalyst project, Cultural Ecosystem Services in Estuary Stewardship and Management.

Webinar Summary |

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the September 2022 webinar "Cultural Ecosystem Services in Estuary Stewardship and Management."

Tool |

The ability to quickly communicate local environmental changes in the aftermath of hurricanes helps impacted communities better understand storm events and support recovery.

News |

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.