Skip to main content

Resources

Resources

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

Displaying 141 - 150 of 198
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.

Project Overview |

This project overview describes a 2011 Collaborative Research project that examined the relationship between salt marshes, climate change, and nitrogen pollution and developed tools to leverage the “blue carbon ” stored in wetlands to achieve broader management goals.

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.

Project Overview |

This project overview describes the New England Climate Adaptation Project (NECAP), a 2012 Collaborative Research project that tested the use of role-play simulations to help community members manage climate risk in four New England communities.

Website |

This website contains information about and products stemming from a 2018 salt marsh resilience workshop hosted by the New England reserves.

Report |

This document describes and synthesizes discussions and notes from an April 2018 workshop hosted by the New England reserves on salt marsh resilience.

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.