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Resources

Resources

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

Displaying 51 - 60 of 89
Report |

This workshop report summarizes the March 2019 scoping session for a collaborative project to assess the potential effects of storm surge barriers on the Hudson River estuary.

Website |

This website was developed by a 2017 Science Transfer project team to provide stakeholders along the Mississippi-Alabama coast with up-to-date data on how human wastewater affects water quality and tangible recommendations for improving it.

Tool |

This "edutainment" packet, developed by a 2016 Science Transfer team, is an outreach tool that describes threats to water quality along the Mississippi-Alabama coastline and helps end users understand how they can they can take actionable steps to improve local water quality.

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.

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.