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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 74
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.

Multimedia |

This webinar, which originally aired on December 12, 2013, discusses the Tijuana River Reserve's collaborative efforts to develop a vulnerability assessment that informs an adaptation strategy to address sea level rise and riverine flooding.

Report |

Southern California ’s coastal environments are under intense development pressure. In the Tijuana River Valley, this pressure translates into the fragmentation and loss of coastal wetlands that provide invaluable services, such as water quality protection.

Project Overview |

This project overview describes a 2012 Collaborative Research project that developed a decision-making framework and tools to guide coastal wetland recovery and management in Southern California.

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.