Evidence map›Paper›PMID 39309976›Full record

ArticleACS environmental Au2024

Exploring Drivers of Historic Mercury Trends in Beluga Whales Using an Ecosystem Modeling Approach.

Emma J Gillies, Mi-Ling Li, Villy Christensen, Carie Hoover, Kristen J Sora, Lisa L Loseto, William W L Cheung, Hélène Angot, Amanda Giang

Abstract read
In one paragraph

Article in ACS environmental Au, 2024. 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

9 authors.

Emma J GilliesInstitute for Resources, Environment and Sustainability, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Mi-Ling LiSchool of Marine Science and Policy, University of Delaware, Newark, Delaware 19716, United States.ORCID https://orcid.org/0000-0001-8574-2625
Villy ChristensenInstitute for the Oceans and Fisheries, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Carie HooverMarine Affairs Program, Dalhousie University, Halifax, NS B3H 4R2, Canada.
Kristen J SoraInstitute for the Oceans and Fisheries, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Lisa L LosetoFreshwater Institute, Fisheries and Oceans Canada, Winnipeg, MB R3T 2N6, Canada.
William W L CheungInstitute for the Oceans and Fisheries, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Hélène AngotUniv. Grenoble Alpes, CNRS, INRAE, IRD, Grenoble INP, IGE, Grenoble 38400, France.
Amanda GiangInstitute for Resources, Environment and Sustainability, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.ORCID https://orcid.org/0000-0002-0146-7038

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While mercury occurs naturally in the environment, human activity has significantly disturbed its biogeochemical cycle. Inorganic mercury entering aquatic systems can be transformed into methylmercury, a strong neurotoxicant that builds up in organisms and affects ecosystem and public health. In the Arctic, top predators such as beluga whales, an ecologically and culturally significant species for many Inuit communities, can contain high concentrations of methylmercury. Historical mercury concentrations in beluga in the western Canadian Arctic's Beaufort Sea cannot be explained by mercury emission trends alone; in addition, they could potentially be driven by climate change impacts, such as rising temperatures and sea ice melt. These changes can affect mercury bioaccumulation through different pathways, including ecological and mercury transport processes. In this study, we explore key drivers of mercury bioaccumulation in the Beaufort Sea beluga population using Ecopath with Ecosim, an ecosystem modeling approach, and scenarios of environmental change informed by Western Science and Inuvialuit Knowledge. Comparing the effect of historical sea ice cover, sea surface temperature, and freshwater discharge time series, modeling suggests that the timing of historical increases and decreases in beluga methylmercury concentrations can be better explained by the resulting changes to ecosystem productivity rather than by those to mercury inputs and that all three environmental drivers could partially explain the decrease in mercury concentrations in beluga after the mid-1990s. This work highlights the value of multiple knowledge systems and exploratory modeling methods in understanding environmental change and contaminant cycling. Future work building on this research could inform climate change adaptation efforts and inform management decisions in the region.

Identifiers

PMID39309976
PMCPMC11413906

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LicenceCC BY-NC-ND
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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.