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Record W1975955656 · doi:10.1021/es0016250

Phytochelatins Are Bioindicators of Atmospheric Metal Exposure via Direct Foliar Uptake in Trees near Sudbury, Ontario, Canada

2001· article· en· W1975955656 on OpenAlexaffabout
James E. Gawel, Charles G. Trick, François M. M. Morel

Bibliographic record

VenueEnvironmental Science & Technology · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsWestern University
Fundersnot available
KeywordsPhytochelatinEnvironmental chemistrySmeltingCopperSoil waterMetalNickelBioindicatorMossChemistryPollutantCadmiumEnvironmental scienceBiomonitoringBotanyBiologySoil scienceGlutathione

Abstract

fetched live from OpenAlex

Plants produce phytochelatins in response to copper and nickel, the primary metal pollutants emitted by the dominant smelting operation in Sudbury. Copper and nickel concentrations in soils decline sharply with distance from this facility, primarily as a result of early smelting practices. Phytochelatin concentrations in Sudbury-area trees, however, do not correlate with metal levels in soils. Rather, phytochelatin production in tree leaves is driven by metals currently released to the atmosphere through the 381 m emissions stack. Phytochelatin concentrations in the foliage of three tree species growing in situ are highest 20-30 km from the stack, correlated with maximum acid-leachable concentrations of deposited copper and nickel. Similar results observed in potted trees placed adjacent to indigenous trees confirm that aerially deposited metals are the source of current metal stress patterns. The addition of peat moss "filters" to potted soils did not alter this response, indicating that direct foliar metal uptake is responsible.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.189
Teacher spread0.184 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations24
Published2001
Admission routes2
Has abstractyes

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