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Resources

Resources

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

Displaying 71 - 80 of 93
Webinar Summary |

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the July 2019 webinar Mapping the Effects of Long-term Hydrologic Stress, Sea-level Rise, and Hurricane Irma on Coastal Habitats.

Webinar Summary |

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the June 2019 webinar Exploring Applications of Ecosystem Service Conceptual Models for Coastal Habitats.

Project Overview |

This project overview describes a project led by Elkorn Slough National Estuarine Research Reserve to communicate the results of a recent national synthesis of NERR Sentinel Site data on marsh resilience to sea level rise.

Multimedia |

These videos clips illustrate three interactive games that were developed for visitor center touch screen displays.

Webinar Summary |

These slides summarize a webinar given by Maggie Pletta of the Delaware Reserve on March 12, 2019, about the development of new, innovative visitor displays at three reserves, partnering with students at the University of Delaware to produce gesture-controlled, educational computer games.

Project Overview |

This project overview describes a 2011 Collaborative Research project that developed a science-based framework for stakeholders to use in making decisions about water resource management in the Rookery Bay Estuary.

Report |

This document summarizes a tool developed by the NERRS to evaluate and compare the ability of tidal marshes to thrive as sea level rises.

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.

Data |

This code (R and MATLAB) can be used to analyze NERRS System-Wide Monitoring Program time series data.