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Resources

Resources

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

Displaying 71 - 80 of 154
Journal Article |

This article, submitted for publication to Earth Surface Processes and Landforms in 2020, describes findings from the Dams and Sediment in the Hudson (DaSH) project related to tidal wetland growth in the Hudson River estuary as a result of human activities. It presents sediment accumulation rates in marshes along the Hudson and reveals the rapid growth of marshes associated with anthropogenic structures.

Factsheet |

This factsheet summarizes findings from the Dams and Sediment in the Hudson (DaSH) collaborative research project.

Factsheet |

This factsheet summarizes findings from the Dams and Sediment in the Hudson (DaSH) collaborative research project related to sediment trapped behind dams and sediment supply in the Hudson River estuary

Factsheet |

This factsheet summarizes findings from the Dams and Sediment in the Hudson collaborative research project related to tidal wetlands in the Hudson River estuary.

Project Overview |

This project overview describes a 2017 science transfer project that developed a risk communication training for reserves to build risk communication capacity in four coastal communities.

Project Overview |

This project overview describes a 2018 Catalyst project where researchers from Duke University and the North Carolina and Rookery Bay reserves partnered to develop ecosystem services models for coastal habitats.

Report |

This national synthesis report analyzes SET data from 15 National Estuarine Research Reserves across the continental United States, summarizing wetland water level trends over a 19-year period.

Journal Article |

This paper, published in Remote Sensing in 2020, describes a new satellite-based habitat mapping technique that was tested at Rookery Bay NERR in southwest Florida.

Tool |

A 2018 catalyst project developed tools for working with SET data including a series of computer codes - R scripts - for processing, quality checking, analyzing and visualizing these complex datasets. The statistical codes re available through GitHub and are explained in a Guide to the SETr Workflow.

Multimedia |

These public outreach materials discuss ecosystem services and the benefits to people from coastal habitats such as oyster reef and mangrove.