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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 59
Webinar Summary |

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the September 2019 webinar Accelerating Collective Learning and Action for Enhanced Climate Resilience.

Collections |
This collection features climate resilience and adaptation work completed by project teams from 2015-2018. The collection includes a detailed management brief narrative, an infographic showing how the interconnected nature of the NERRS facilitates collective learning and accelerated action, and a webinar recording from a panel discussion on September 9, 2019.
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.

Data |

This geodatabase contains GIS layers that illustrate the distribution of existing wetlands and identify locations where restoration is likely to have the greatest positive environmental impact in Douglas County, WI.

Project Overview |

This project overview describes a 2013 Collaborative Research project in which an array of partners created a watershed-scale wetland conservation plan in Wisconsin's Douglas County.

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.