Evidence map›Paper›PMID 40476503›Full record

ArticleEnvironmental science & technology2025

Ecological Factors Decouple Great Lakes Fish Mercury Concentrations Trends from Decadal Declines in Atmospheric Mercury.

Ryan F Lepak, Joel C Hoffman, Sarah E Janssen, Michael T Tate, Morgann B Shanoff, Michael B Mahon, Samantha L Rumschlag, Christopher T Yarnes, Brian A Lenell, David P Krabbenhoft and 2 more

Abstract read
In one paragraph

Article in Environmental science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Ryan F LepakU.S. EPA Office of Research and Development, Center for Computational Toxicology and Exposure, Great Lakes Ecology and Toxicology Division, 6201 Congdon Blvd., Duluth, Minnesota 55804, United States.ORCID 0000-0003-2806-1895
Joel C HoffmanU.S. EPA Office of Research and Development, Center for Computational Toxicology and Exposure, Great Lakes Ecology and Toxicology Division, 6201 Congdon Blvd., Duluth, Minnesota 55804, United States.
Sarah E JanssenWisconsin Water Science Center, U.S. Geological Survey, 8505 Research Way, Middleton, Wisconsin 53562, United States.ORCID 0000-0003-4432-3154
Michael T TateWisconsin Water Science Center, U.S. Geological Survey, 8505 Research Way, Middleton, Wisconsin 53562, United States.
Morgann B ShanoffGreat Lakes Toxicology and Ecology Division, Oak Ridge Associated Universities National Student Services Contractor at U.S. EPA Office of Research and Development, 6201 Congdon Blvd, Duluth, Minnesota 55804, United States.
Michael B MahonU.S. EPA Office of Research and Development, Center for Computational Toxicology and Exposure, Great Lakes Ecology and Toxicology Division, 6201 Congdon Blvd., Duluth, Minnesota 55804, United States.ORCID 0000-0002-9436-2998
Samantha L RumschlagU.S. EPA Office of Research and Development, Center for Computational Toxicology and Exposure, Great Lakes Ecology and Toxicology Division, 6201 Congdon Blvd., Duluth, Minnesota 55804, United States.
Christopher T YarnesU.S. EPA Office of Research and Development, Center for Computational Toxicology and Exposure, Great Lakes Ecology and Toxicology Division, 6201 Congdon Blvd., Duluth, Minnesota 55804, United States.
Brian A LenellGreat Lakes National Program Office, U.S. EPA, 77 West Jackson Boulevard, Chicago, Illinois 60604, United States.
David P KrabbenhoftWisconsin Water Science Center, U.S. Geological Survey, 8505 Research Way, Middleton, Wisconsin 53562, United States.ORCID 0000-0003-1964-5020
Jacob M OgorekWisconsin Water Science Center, U.S. Geological Survey, 8505 Research Way, Middleton, Wisconsin 53562, United States.
James P HurleyDepartment of Civil and Environmental Engineering, University of Wisconsin-Madison, 1415 Engineering Dr., Madison, Wisconsin 53706, United States.ORCID 0000-0003-4430-5319

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Atmospheric mercury (Hg) deposition has been declining in North America but remains the dominant delivery mechanism to the Great Lakes. The Lakes are highly efficient at bioaccumulating methylmercury, making the fish excellent sentinels for tracking shifts in atmospheric Hg deposition. Invasive mussels have altered biogeochemical processes, prey populations and fish dietary strategies asynchronously and to varied extents across the lower four lakes, impacting fish Hg exposure. To test if fish are adapting to new biogeochemical conditions, we analyzed a 40 year fish archive for carbon and nitrogen isotope ratios and amino acid-specific nitrogen isotope ratios. To assess Hg sources, we measured Hg isotope ratios. We reconstructed and compared energetic pathways that impact fish Hg concentrations to Hg-source trends. We found fish-Hg concentrations are declining but not monotonically due to ecological disturbances. Fish-Hg isotope values, unimpacted by ecological disturbance, confirm that sources of bioaccumulated Hg shift contemporaneously with changes in atmospheric Hg concentrations. Across Lakes, the degree of responsiveness to changes in atmospheric Hg concentrations mirrors the proportion of atmospheric-delivered Hg we previously modeled. Changes in both fish concentrations and fish isotope values outpace paleolimnetic reconstructions suggesting declines in atmospheric Hg concentrations impact fish Hg more than sediment.

Indexed as

FishesMercuryWater Pollutants, ChemicalAnimalsAtmosphereEnvironmental MonitoringLakesNitrogen IsotopesMercuryNitrogen IsotopesWater Pollutants, ChemicalfishGreat Lakesisotopesmercuryspatiotemporal

Identifiers

PMID40476503
PMCPMC12378951

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.