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Record W2083074703 · doi:10.1021/es801619h

Metamorphosis in Chironomids, More than Mercury Supply, Controls Methylmercury Transfer to Fish in High Arctic Lakes

2008· article· en· W2083074703 on OpenAlexafffundabout
John Chételat, Marc Amyot, Louise Cloutier, Alexandre J. Poulain

Bibliographic record

VenueEnvironmental Science & Technology · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicMercury impact and mitigation studies
Canadian institutionsUniversité de MontréalUniversité du Québec à Montréal
FundersNational Research Council CanadaNatural Sciences and Engineering Research Council of CanadaFonds Québécois de la Recherche sur la Nature et les Technologies
KeywordsMethylmercuryMercury (programming language)ArcticEnvironmental scienceEnvironmental chemistrySalvelinusSedimentFood webArctic charAquatic ecosystemEcologyTroutChemistryBioaccumulationFisheryPredationBiologyFish <Actinopterygii>

Abstract

fetched live from OpenAlex

Lake-dwelling Arctic char (Salvelinus alpinus) are monitored internationally as a sentinel species for effects of atmospheric mercury deposition on Arctic fresh waters. We investigated the control of mercury supply and biological processes on the methylmercury (MeHg) content of their main food, aquatic chironomids, in 22 lakes and ponds in the Canadian High Arctic. Total mercury (THg) concentrations in sediment (corrected for organic matter content) increased with drainage basin size, suggesting a gradient in mercury loading among study sites. MeHg concentrations in sediment and water were low and relatively uniform along this THg supply gradient suggesting MeHg production in High Arctic lakes is weakly coupled to inorganic mercury supply. Metamorphosis was a key biological process that concentrated MeHg in adult chironomids 1.7-2.9 times more than in immature stages. Drainage basin size, environmental mercury levels, and habitat characteristics were also significant factors but they explained less variation in chironomid MeHg concentration than their degree of maturity. Chironomid larvae, pupae, and adults are distinct mercury sources for fish, and we provide evidence from nitrogen stable isotopes and published feeding studies that suggest differential consumption of these stages may affect MeHg uptake by Arctic char. We conclude that biological and food web processes have a greater impact on MeHg transfer to fish than atmospheric mercury deposition in High Arctic lakes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.004
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.227
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations55
Published2008
Admission routes3
Has abstractyes

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