gov.noaa.nmfs.inport:78316 eng UTF8 dataset Office for Coastal Management resourceProvider Cothran, Jeremy jeremy.cothran@gmail.com pointOfContact 2026-03-04T19:17:17 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) Building a Collaborative Water Quality Monitoring Strategy for a Changing St. Louis River Estuary - NERRS/NSC(NERRS Science Collaborative) creation revision 2025-03 publication NOAA/NMFS/EDM 78316 https://doi.org/10.6073/pasta/cf58e8c6af8a79077bf4330d60a6032c https://www.fisheries.noaa.gov/inport/item/78316 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://nerrssciencecollaborative.org/project/Ramage22 WWW:LINK-1.0-http--link Ramage22 Online Resource download Water quality monitoring experts, scientists, and estuary caretakers built a long-term collaborative monitoring strategy for estuary nutrients and phytoplankton dynamics at the headwaters of Lake Superior. The Project The St. Louis River Estuary, located at the headwaters of Lake Superior, is nearing a major milestone: its anticipated delisting as a Great Lakes Area of Concern by 2030. Yet even as remediation and restoration successes are celebrated, new environmental stressors, particularly harmful algal blooms, raise concerns about the estuary's long-term water quality health. In response, a group of local, state, federal, and tribal partners who have long worked in and cared for the estuary began calling for a science-based monitoring strategy that could respond to emerging threats and support ongoing stewardship beyond delisting. Together, they shaped a shared vision: a comprehensive program of observations, analyses, and public reporting that would protect remediation and restoration investments and inform future decision-making. To advance this vision, this group of partners who had long advocated for a coordinated monitoring effort, collaborated closely with the Lake Superior National Estuarine Research Reserve to launch the project. The Reserve brought together a scientific team that included collaborators from the University of Minnesota's Natural Resources Research Institute, who contributed expertise in phytoplankton and bloom dynamics. The partners co-authored the proposal and remained actively engaged throughout the project, helping select sites, shape the study design, and review statistical analysis and draft recommendations. Together, the partners and project team developed a research approach that combined strong scientific design to build foundational understanding of phytoplankton dynamics with a focus on generating practical, actionable insights for a shared long term monitoring strategy. Eight high-priority sites were intensively sampled in 2023 and 2024, focusing on areas vulnerable to nutrient enrichment, low oxygen, and bloom formation. The study also prioritized public relevance by targeting restoration areas, heavily used public zones, and capturing rarely collected wintertime data. The project successfully identified predictors of cyanobacteria biovolume in the estuary and actionable monitoring strategies to improve bloom detection and efficient water quality monitoring in the future. Important predictors of blooms included low nitrogen, warm temperatures, low dissolved organic carbon, and high pH. In addition, the team observed significant year-to-year differences in bloom composition and intensity suggesting bloom dynamics are highly responsive to variations in hydrology and nutrient stoichiometry which are driven by precipitation patterns. Further analysis evaluated the efficiency of different monitoring designs by assessing redundancy across space, sampling frequency, and parameters. These findings informed a science-based strategy that identified periods and locations of elevated bloom risk while accounting for the real-world capacity of agencies and partners. The resulting recommendations include a reduced set of priority sites and a tiered approach to sampling. This strategy is designed to be flexible with available funding and effort, while ensuring that high-risk bloom locations are monitored as a minimum standard. The project's result is not only a clearer picture of what drives blooms in the estuary, but also a durable and collaborative roadmap for long-term monitoring, co-created by the people who first called for a collaborative, comprehensive program. The Impact Advanced a critical new understanding about estuary phytoplankton community composition and cyanobacteria in the estuary. Improved data accessibility to support ongoing data use and collaboration. Developed actionable, co-developed monitoring recommendations for more efficient water quality and algal bloom monitoring. Established and strengthened relationships between natural resource agency staff and university research partners. Strengthened collaboration among local, state, federal and tribal partners by turning a long-standing call for coordinated monitoring into a shared, actionable vision. This collaboration continues post-project as recommended actions come to fruition across agencies. completed Office for Coastal Management 2234 South Hobson Avenue Charleston SC 29405-2413 https://www.coast.noaa.gov/ WWW:LINK-1.0-http--link Office for Coastal Management Website Website listed for Office for Coastal Management information custodian asNeeded EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > BACTERIA/ARCHAEA > CYANOBACTERIA (BLUE-GREEN ALGAE) EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > ESTUARY theme Global Change Master Directory (GCMD) Science Keywords 17.0 Great Lakes algal blooms nutrients phytoplankton water quality theme St. Louis River Estuary, WI place DOC/NOAA/NOS/OCM > Office of Coastal Management, National Ocean Service, NOAA, U.S. Department of Commerce dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2017-04-24 publication 8.5 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 22. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian NERRS project InPort otherRestrictions Cite As: Office for Coastal Management, [Date of Access]: Building a Collaborative Water Quality Monitoring Strategy for a Changing St. Louis River Estuary - NERRS/NSC(NERRS Science Collaborative) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/78316. NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose. otherRestrictions Access Constraints: None otherRestrictions Use Constraints: Cite this dataset when used as a source: NOAA retains the right to analyze, synthesize and publish summaries of the NERRS/NSC data. The NERRS/NSC retains the right to be fully credited for having collected and process the data. Following academic courtesy standards, the NERR site where the data were collected should be contacted and fully acknowledged in any subsequent publications in which any part of the data are used. The data enclosed within this package/transmission are only as accurate as the quality assurance and quality control procedures that are described in the associated metadata reporting statement allow. The user bears all responsibility for its subsequent use/misuse in any further analyses or comparisons. The Federal government does not assume liability to the Recipient or third persons, nor will the Federal government reimburse or indemnify the Recipient for its liability due to any losses resulting in any way from the use of this data. Requested citation format: NOAA National Estuarine Research Reserve System (NERRS) Science Collaborative(NSC). otherRestrictions Distribution Liability: The distributor does not assume liability. unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 78316 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocm/dmp/pdf/78316.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference eng; US oceans -92.85546 -91.955843 46.641069 46.8937 Data was primarily collected either within Douglas County, WI or St. Louis County, MN within the St. Louis River Estuary and nearshore Lake Superior | Currentness: Ground Condition 2022-11-01 2025-03-01 Project Lead: Hannah Nicklay, Lake Superior National Estuarine Research Reserve, hannah.nicklay@wisc.edu Collaborative Lead: Euan D. Reavie, Natural Resources Research Institute, University of Minnesota, ereavie@d.umn.edu Technical Leads: Chris T. Filstrup, Natural Resources Research Institute, University of Minnesota, filstrup@d.umn.edu Partners: Lake Superior National Estuarine Research Reserve - University of Wisconsin Madison, Division of Extension; Natural Resources Research Institute, University of Minnesota; Water Resources Science Program, University of Minnesota Duluth; Fond du Lac Band of Lake Superior Chippewa; U.S. Environmental Protection Agency - Office of Research and Development - Great Lakes Toxicology and Ecology Division; Wisconsin Department of Natural Resources; City of Superior; Minnesota Pollution Control Agency; Minnesota Department of Natural Resources false eng false Other N/A 2025-10-02 publication Multiple formats Office for Coastal Management 2234 South Hobson Avenue Charleston SC 29405-2413 https://www.coast.noaa.gov/ WWW:LINK-1.0-http--link Office for Coastal Management Website Website listed for Office for Coastal Management information distributor https://nerrssciencecollaborative.org/project/Ramage22 WWW:LINK-1.0-http--link Ramage22 download dataset Representativeness N/A This information is detailed within the project links. N/A Office for Coastal Management processor N/A