Project Lead Samantha Chapman (Villanova University) gives a 5-minute introduction to "Experimenting with Elevation: Building a New Collaboration to Explore Management Options for Wetland Elevation Maintenance," a catalyst project funded in 2020 by the NERRS Science Collaborative.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the September 2022 webinar "Cultural Ecosystem Services in Estuary Stewardship and Management."
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Poster: Drones can revolutionize research and monitoring…can’t they? (NERRS/NERRA Annual Meeting 2020)
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Project Lead Brandon Puckett (North Carolina National Estuarine Research Reserve) gives an introduction to "Bridging the Gap between Quadrats and Satellites: Assessing Utility of Drone-based Imagery to Enhance Emergent Vegetation Biomonitoring," aka "Drone the SWMP," a catalyst project funded in
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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
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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 resource contains the presenter slides, Q&A responses, recording, and presenter bios from the June 2022 webinar "Drone the SWMP: Assessing the Utility of Drones for Monitoring Coastal Wetlands."
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the May 2022 webinar "Restoration Success: Linking Social and Ecological Metrics."
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This 2022 paper which appeared in Nature discusses a modeling approach to examine the marsh ’s buffering capacity in a changing climate (from 2020 to 2100), considering a potential marsh restoration plan (from 2020 to 2025) and potential marsh loss due to sea-level rise.
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This 2021 paper from the University of South Florida discusses how machine learning was used to map aquifers throughout the Kenai Lowlands to locate groundwater discharge, providing a framework to extend this method of modeling groundwater to other reserves.