The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Biomagnification of Mercury in Aquatic Food Webs: A Worldwide Meta-Analysis
Abstract
The slope of the simple linear regression between log10 transformed mercury (Hg) concentration and stable nitrogen isotope values (δ(15)N), hereafter called trophic magnification slope (TMS), from several trophic levels in a food web can represent the overall degree of Hg biomagnification. We compiled data from 69 studies that determined total Hg (THg) or methyl Hg (MeHg) TMS values in 205 aquatic food webs worldwide. Hg TMS values were compared against physicochemical and biological factors hypothesized to affect Hg biomagnification in aquatic systems. Food webs ranged across 1.7 ± 0.7 (mean ± SD) and 1.8 ± 0.8 trophic levels (calculated using δ(15)N from baseline to top predator) for THg and MeHg, respectively. The average trophic level (based on δ(15)N) of the upper-trophic-level organisms in the food web was 3.7 ± 0.8 and 3.8 ± 0.8 for THg and MeHg food webs, respectively. For MeHg, the mean TMS value was 0.24 ± 0.08 but varied from 0.08 to 0.53 and was, on average, 1.5 times higher than that for THg with a mean of 0.16 ± 0.11 (range: -0.19 to 0.48). Both THg and MeHg TMS values were significantly and positively correlated with latitude. TMS values in freshwater sites increased with dissolved organic carbon and decreased with total phosphorus and atmospheric Hg deposition. Results suggest that Hg biomagnification through food webs is highest in cold and low productivity systems; however, much of the among-system variability in TMS values remains unexplained. We identify critical data gaps and provide recommendations for future studies that would improve our understanding of global Hg biomagnification.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Experimental Design and Data Analysis for Biologists
Quinn, G. P., & Keough, M. J. (2002) · doi:10.1017/cbo9780511806384 · Cited by 10,674
Global threats to human water security and river biodiversity
Vörösmarty, C. J., McIntyre, P. B., Gessner, M. O., Dudgeon, D., Prusevich, A., Green, P., Glidden, S., Bunn, S. E., Sullivan, C. A., Liermann, C. R., et al. (2010) · Nature · doi:10.1038/nature09440 · Cited by 7,582
Food Web Complexity and Species Diversity
Paine, R. T. (1966) · The American Naturalist · doi:10.1086/282400 · Cited by 5,361
Trophic magnification factors: Considerations of ecology, ecosystems, and study design
Borgå, K., Kidd, K. A., Muir, D. C., Berglund, O., Conder, J. M., Gobas, F. A., Kucklick, J., Malm, O., & Powell, D. E. (2012) · Integrated Environmental Assessment and Management · doi:10.1002/ieam.244 · Cited by 531
Self-citation
Cited by
Cycling of mercury in the environment: Sources, fate, and human health implications: A review
Beckers, F., & Rinklebe, J. (2017) · Critical Reviews in Environmental Science and Technology · doi:10.1080/10643389.2017.1326277 · Cited by 623
Microplastics and seafood: lower trophic organisms at highest risk of contamination
Walkinshaw, C., Lindeque, P. K., Thompson, R., Tolhurst, T., & Cole, M. (2020) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2019.110066 · Cited by 592
Creed, I. F., Bergström, A., Trick, C. G., Grimm, N. B., Hessen, D. O., Karlsson, J., Kidd, K. A., Kritzberg, E., McKnight, D. M., Freeman, E. C., et al. (2018) · Global Change Biology · doi:10.1111/gcb.14129 · Cited by 382
Self-citationClimate change and overfishing increase neurotoxicant in marine predators
Schartup, A. T., Thackray, C. P., Qureshi, A., Dassuncao, C., Gillespie, K., Hanke, A., & Sunderland, E. M. (2019) · Nature · doi:10.1038/s41586-019-1468-9 · Cited by 258
Trophic Magnification of Organic Chemicals: A Global Synthesis
Walters, D. M., Jardine, T. D., Cade, B. S., Kidd, K. A., Muir, D. C. G., & Leipzig-Scott, P. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.6b00201 · Cited by 181
Self-citationMoreno, C. E., Fjeld, E., & Lydersen, E. (2016) · Environmental Monitoring and Assessment · doi:10.1007/s10661-016-5148-z · Cited by 14
Yadav, V., Manjhi, A., & Vadakedath, N. (2025) · Environmental Advances · doi:10.1016/j.envadv.2025.100624 · Cited by 9
Silva, F. X. D., Monteiro, L. C., Cabral, C. D. S., Canela, T. A., Bernardi, J. V. E., Almeida, R. D., & Bastos, W. R. (2026) · Environmental Pollution · doi:10.1016/j.envpol.2026.128115 · Cited by 1
Madgaonkar, S. R., Chivukula, N., Garisetti, V., Marigoudar, S. R., Sharma, K. V., & Samal, A. (2026) · Environmental Toxicology and Chemistry · doi:10.1093/etojnl/vgag026
Metadata
- Authors
- Lavoie, R. A., Jardine, T. D., Chumchal, M. M., Kidd, K. A., & Campbell, L. M.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-11-13
- Volume
- 47
- Issue
- 23
- Pages
- 13385-13394
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2077814094
- Cited by
- 1,021
- References
- 4
- FWCI
- 23.25
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.