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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 - 10 of 37
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This toolkit organizes and consolidates content from a combination of literature reviews, SWMP data interpretation, and interviews and exhibit evaluations at multiple reserves into a comprehensive package of resources that is accessible to all education coordinators and exhibit designers in the Reserve System.
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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.

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The ability to quickly communicate local environmental changes in the aftermath of hurricanes helps impacted communities better understand storm events and support recovery.

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

Tool |

Monitoring plays a central role in detecting climate and anthropogenic stressors and associated changes in wetlands. There is a need for wetland monitoring programs to bridge the gap between ground-based surveys, which can miss important spatial heterogeneity and cause wetland disturbance, a

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This guide is designed to be a resource for current and potential oyster growers that want to understand and maximize the water quality benefits of their aquaculture operations.

Data |

This resource includes links to five datasets generated by a collaborative research project that measured nitrogen removal from oyster aquaculture using complement biogeochemistry and genetic methods.

Data |

These marsh sustainability and hydrology datasets were collected as part of a 2017 collaborative research project.

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This decision support tool, developed as part of a 2017 collaborative research project, allows users to select different combinations of tidal range, suspended sediment, ditch density, and sea-level rise variables and visualize predicted outcomes over different time frames.

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These five related carbon storage, greenhouse gas flux and environmental variable datasets were generated by the Bringing Wetlands to Market research team and used to develop a coastal wetland greenhouse gas model for New England.