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Resources

Resources

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

Displaying 1 - 9 of 9
Data |
About the project

Through a 2020 catalyst project, staff from the South Carolina Department of Natural Resources worked with ACE Basin NERR and U.S.

Data |
About the project

The 2020-2022 catalyst project  Bridging the gap between quadrats and satellites: assessing utility of drone-based imagery to enhance emergent vegetation biomonitoring conducted a regionally coordinated effort, working in salt marshes an

Project Overview |

This project overview describes a 2017 Science Transfer project in which the southeastern National Estuarine Research Reserves created a region-wide, student-driven program for teachers to further understanding of estuary restoration.

Project Overview |

This project overview describes a multi-year collaborative research project that analyzed a suite of living shoreline possibilities for South Carolina to help the state develop a living shoreline policy.

Data |

Three related datasets were generated by the 2015 - 2019 collaborative research project Evaluating Living Shorelines to Inform Regulatory Decision-Making in South Carolina.

Project Overview |

This project overview describes a project led by Elkorn Slough National Estuarine Research Reserve to communicate the results of a recent national synthesis of NERR Sentinel Site data on marsh resilience to sea level rise.

Project Overview |

This project overview describes a 2012 Collaborative Research project that engaged community volunteers to restore vital oyster reefs in South Carolina.

Project Overview |

This project overview describes a 2012 Collaborative Research project that worked to address barriers preventing communities in South Carolina from embracing low-impact development strategies.

Project Overview |

This project overview describes a 2013 Collaborative Research project in which ACE Basin Reserve worked with stakeholders to compile water quality and rainfall data and modeling to inform policy and management decisions.