Evidence map›Paper›PMID 39812405›Full record

ArticleEnvironmental science & technology2025

Ecosystem Drivers of Freshwater Mercury Bioaccumulation Are Context-Dependent: Insights from Continental-Scale Modeling.

Christopher J Kotalik, James J Willacker, Jeff S Wesner, Branden L Johnson, Colleen M Flanagan Pritz, Sarah J Nelson, David M Walters, Collin A Eagles-Smith

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

8 authors.

Christopher J KotalikU.S. Geological Survey, Columbia Environmental Research Center, 4200 E New Haven Rd, Columbia, Missouri 65201, United States.ORCID 0000-0001-6739-6036
James J WillackerU.S. Geological Survey, Forest and Rangeland Ecosystem Science Center, 3200 SW Jefferson Way, Corvallis, Oregon 97331, United States.ORCID 0000-0002-6286-5224
Jeff S WesnerDepartment of Biology, University of South Dakota, 414 E. Clark St. Vermillion, South Dakota 57069, United States.ORCID 0000-0001-6058-7972
Branden L JohnsonU.S. Geological Survey, Forest and Rangeland Ecosystem Science Center, 3200 SW Jefferson Way, Corvallis, Oregon 97331, United States.
Colleen M Flanagan PritzNational Park Service, Air Resources Division, National Resource, Stewardship and Science Directorate, Lakewood, Colorado 80228, United States.
Sarah J NelsonAppalachian Mountain Club, Gorham, New Hampshire 03581, United States.ORCID 0000-0003-3000-7521
David M WaltersU.S. Geological Survey, Columbia Environmental Research Center, 4200 E New Haven Rd, Columbia, Missouri 65201, United States.ORCID 0000-0002-4237-2158
Collin A Eagles-SmithU.S. Geological Survey, Forest and Rangeland Ecosystem Science Center, 3200 SW Jefferson Way, Corvallis, Oregon 97331, United States.ORCID 0000-0003-1329-5285

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significant variation in mercury (Hg) bioaccumulation is observed across the diversity of freshwater ecosystems in North America. While there is support for the major drivers of Hg bioaccumulation, the relative influence of different external factors can vary widely among waterbodies, which makes predicting Hg risk across large spatial scales particularly challenging. We modeled Hg bioaccumulation by coupling Hg concentrations in more than 21,000 dragonflies collected across the United States from 2008 to 2021 with a suite of chemical (e.g., dissolved organic carbon (DOC), pH, sulfate) and landscape (e.g., soil characteristics, land cover) variables representing external drivers of Hg methylation, transport, and uptake. Model predictions explained 85% of the variation in dragonfly Hg concentrations across the United States. Certain predictor variables were more important than others (e.g., DOC, pH, and percent wetland), and they varied among waterbodies. Variation in Hg bioaccumulation was explained by including habitat and ecosystem type in a hierarchical modeling framework, which confirms the context-dependency of external factors in explaining Hg bioaccumulation across disparate freshwater ecosystems. This continent-scale model provides valuable insights into the processes underlying landscape-scale patterns in Hg exposure risk and demonstrates that drivers of Hg methylation and bioaccumulation are habitat- and ecosystem-dependent.

Indexed as

EcosystemMercuryAnimalsBioaccumulationEnvironmental MonitoringFresh WaterOdonataWater Pollutants, ChemicalMercuryWater Pollutants, ChemicalBayesian predictive modelingcontext-dependencedragonfly larvaemercury biogeochemistrymercury riskwater quality

Identifiers

PMID39812405
PMCPMC11780732

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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.