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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 120
Collections |
This collection features living shorelines work completed by project teams from 2015-2019. The collection includes a detailed management brief narrative, an infographic showing different shoreline stabilization strategies and how they vary across locations in order to suit the conditions present, and a webinar recording from a panel discussion on April 11, 2019.
Data |

This dataset includes a suite of measures of ecological and physical functions of built sustainable shoreline structures at a set of demonstration sites along the Hudson River.

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.

Data |

This geodatabase contains GIS layers that illustrate the distribution of existing wetlands and identify locations where restoration is likely to have the greatest positive environmental impact in Douglas County, WI.

Project Overview |

This project overview describes a 2013 Collaborative Research project in which an array of partners created a watershed-scale wetland conservation plan in Wisconsin's Douglas County.

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.