Accessibility notice:

If you need help accessing this archived item, Ask a Librarian.

Building a collaborative monitoring strategy for a changing St. Louis River Estuary: a recommendation report

Loading...
Thumbnail Image

Authors

Nicklay, Hannah
Filstrup, Chris
Reavie, Euan
Birschbach, Peter
Reinl, Kaitlin L.
Widiker, Janae
Schuldt, Nancy
Erickson, Deanna

Advisors

License

https://creativecommons.org/publicdomain/zero/1.0

DOI

Type

Technical Report

Journal Title

Journal ISSN

Volume Title

Publisher

Grantor

Abstract

As the St. Louis River Estuary (SLRE) approaches delisting as a Great Lakes Area of Concern (AOC), emerging stressors, particularly cyanobacteria blooms, raise new questions about the estuary’s longterm condition. To investigate these concerns, we conducted intensive water quality and phytoplankton monitoring across eight sites in 2023 and 2024, selected as “hotspots” based on their susceptibility to nutrient enrichment, hypoxia, and bloom formation. Our approach combined high-frequency routine sampling with targeted analyses to identify key drivers of cyanobacteria biovolume and assess spatial and temporal redundancies in monitoring design. We observed multiple small, ephemeral cyanobacteria blooms across both years, with diverse community composition, and documented a widespread lower estuary bloom in October 2023 dominated by Aphanizomenon flos-aquae. Random Forest Analysis identified low total nitrogen, elevated temperatures, low dissolved organic carbon, and high pH as the strongest predictors of cyanobacteria biovolume. Bloom development was further linked to late-summer drought conditions and calm wind conditions. Nonmetric multidimensional scaling analysis revealed spatial overlap in environmental and phytoplankton patterns, supporting a streamlined routine sampling design focused on fewer locations and parameters for regular monitoring. We recommend a shift from evenly timed, year-round sampling across all sites to a more flexible strategy that intensifies sampling during late summer at high-risk locations, with a refined set of core parameters. By providing foundational insights into phytoplankton dynamics and evaluating monitoring design, this work supports the development of a collaborative monitoring strategy for a changing SLRE.

Description

The research results and monitoring recommendations presented in this report are a collaborative effort among water quality monitoring experts, scientists, and estuary caretakers. We share a motivation that stems from the anticipated 2030 delisting of the St. Louis River as a Great Lakes Area of Concern, and the pressing need to chart a path forward to develop a long-term monitoring plan. We offer this report as a first step toward building a more coordinated, efficient, and future-focused water quality monitoring program—one that supports the unique St. Louis River Estuary that serves as the foundation for the health, livelihoods, economies, and sense of place of the Twin Ports community and the broader Lake Superior watershed. This project was led by the Lake Superior National Estuarine Research Reserve (LSNERR) and University of Minnesota’s Natural Resource Research Institute (NRRI). The following document presents foundational scientific information on the environmental predictors of cyanobacteria abundance and characterizes harmful algal blooms, phytoplankton dynamics, nutrient conditions, decadal trends in water quality, and hypoxia in the SLRE. From these findings, we offer monitoring recommendations on where, when, and how to focus future efforts. Some are highly specific, such as proposed locations for monitoring stations, while others are broader programmatic considerations.

Citation

Sponsorship

This work was made possible through support from the National Estuarine Research Reserve System Science Collaborative (University of Michigan, NOAA’s Office for Coastal Management), which funded not only the scientific components, including data collection, processing, and analysis, but also the meaningful conversation among the collaborative team throughout the project. Additional funds from NRRI’s Technology Review Board (Permanent University Trust Fund, University of Minnesota) supported additional data analysis and drafting of this report.

Endorsement

Review

Supplemented By

Referenced By