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Resources

Resources

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

Displaying 81 - 90 of 100
Project Overview |

This project overview describes a 2012 Collaborative Research project that established the Partnership for Coastal Watersheds, a group of local stakeholders that represents diverse interests in Oregon's Coos Bay.

Project Overview |

This project overview describes a 2013 project that created an online portal for scientists and fisheries managers to share and use data on larval fish recruitment and environmental variables.

Website |

This website, created as part of a 2017 Collaborative Research project, describes a pilot program led by the University of New Hampshire and the NERRS to develop eDNA sample collection and analysis protocols.

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.

Project Overview |

This project overview describes the project approach, results, and benefits of a 2016-2020 collaborative research project that increased clarity about marsh habitat change to inform mosquito control and coastal restoration efforts in New Jersey

Project Overview |

This project overview describes a 2016 Integrated Assessment project that is looking at how to create a modernized land use plan for Oregon's Coos Bay Estuary that balances responsible economic development, social interests, and protection of natural resources.

Project Overview |

This project overview describes a 2016 Collaborative Research project that filled information gaps and modeled estuarine circulation and sediment distribution in Oregon's Coos estuary.