Mercury concentrations and foliage/atmosphere fluxes in a maple forest ecosystem in Québec, Canada
Bibliographic record
Abstract
This paper presents mercury (Hg) concentrations and foliage/atmosphere fluxes in a maple forest ecosystem in southern Québec, Canada. The average total gaseous mercury (TGM) concentration measured at an open field site was significantly (p < 0.001) higher than that measured at an adjacent maple forest site, some 300 m away (1.40 ng m −3 versus 1.03 ng m −3 , respectively). Foliage/atmosphere flux of TGM, measured with a dynamic flux bag device, indicated an average deposition flux of 0.39 ± 0.38 ng m −2 h −1 in the maple tree foliage. Although, bi‐directional Hg fluxes were observed, the compensation point in the maple forest was low (∼0.6 ng m −3 ) explaining a net Hg deposition process at TGM background levels. Foliage mercury concentrations increased from 8.7 ± 1.5 ng g −1 to 30.8 ± 3.0 ng g −1 during the leaf‐growing season. The average Hg deposition flux was in a similar range to the Hg accumulation rate in the maple tree foliage assuming a foliage productivity rate of 220 g m −2 a −1 (i.e., 0.39 versus 0.55 ng m −2 h −1 ). Although significant Hg accumulated in foliage, its transport to non‐organic surface topsoil was not significant. When the uptake of mercury measured in this experiment was extrapolated to include all of the maple forest in North America (12.5 million ha), it amounted potentially to more than 600 kg of mercury per year. This represents approximately 0.5% of mercury emissions in Canada and the United States (approximately 120 metric tons).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".