The 2020-2021 catalyst project Refining Techniques for High-Frequency Monitoring of Chlorophyll in the NERRS brought together twelve biogeochemically diverse reserves to compare results from new YSI in situ sensor technology with ex
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
Displaying 1 - 4 of 4 Data |
About this project
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Keywords: harmful algal bloom, water quality, nutrient pollution, SWMP, monitoring
Reserves: Elkhorn Slough, CA, Grand Bay, MS, Great Bay, NH, Guana Tolomato Matanzas, FL, He‘eia, HI, Lake Superior, WI, Mission Aransas, TX, North Inlet-Winyah Bay, SC, Old Woman Creek, OH, Padilla Bay, WA, Sapelo Island, GA, Wells, ME
Data |
This dataset contains processed Surface Elevation Table data from five reserves along with metadata, R scripts, reports, and figures, illustrating how SET can be processed, analyzed and visualized.
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Keywords: SET, marsh resilience, surface elevation table
Reserves: Apalachicola, FL, Chesapeake Bay, MD, Delaware, Grand Bay, MS, South Slough, OR
Data |
About this Project
Thin-layer placement (TLP) is an emergent climate adaptation strategy that mimics natural deposition processes in tidal marshes by adding a small amount of sediment on top of marsh in order to maintain elevation relative to sea level rise.
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Keywords: thin-layer sediment, wetland resilience, adaptation
Reserves: Chesapeake Bay, MD, Chesapeake Bay, VA, Elkhorn Slough, CA, Great Bay, NH, Narragansett Bay, RI, North Carolina, San Francisco Bay, CA, Waquoit Bay, MA
Data |
This code (R and MATLAB) can be used to analyze NERRS System-Wide Monitoring Program time series data.
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Keywords: SWMP, data synthesis, data
Reserves: Chesapeake Bay, MD, Chesapeake Bay, VA, Delaware, Hudson River, NY, Jacques Cousteau, NJ, Waquoit Bay, MA