Skip to main content

Resources

Resources

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

Displaying 131 - 140 of 175
Report |

Oysters are the tiny superheroes of coastal environments. They enhance water quality, create habitat, and protect shorelines from storms and erosion. Along the Pacific Coast, native oysters are in decline, due in part to sedimentation, inadequate protection, and unsustainable harvests.

Report |

This community vision, developed as part of a 2012 Collaborative Research project, describes desired future conditions stakeholders and residents hope to see for the South Slough and Coastal Frontal sub-basins of the Coos Watershed.

Project Overview |

This project overview describes a 2011 Collaborative Research project that developed science-based planning tools that decision-makers along the Pacific Coast can use to better site oyster restoration projects.

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.

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.

Thesis or Dissertation |

This dissertation was written by PhD student working at Hudson River Reserve on a project that assessed the buffering services of a coastal marsh in New York.

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.