Dendroclimatic analysis of <i>Acer saccharum</i>, <i>Fagus grandifolia</i>, and <i>Tsuga canadensis</i> from an old-growth forest, southwestern Quebec
Bibliographic record
Abstract
Radial growth of three tree species (eastern hemlock, Tsuga canadensis (L.) Carrière; sugar maple, Acer saccharum Marsh.; and American beech, Fagus grandifolia Ehrh.) from an old-growth forest, in southwestern Quebec was compared using a dendroclimatic approach. The beech and maple tree-ring chronologies were significantly correlated, whereas the hemlock chronology was correlated only to that of beech. Radial growth of all three species was positively correlated with precipitation and negatively correlated with temperatures during the early summer months of the year the annual ring was formed. This suggests early summer water balance limits the growth of these species on this site. Radial growth of the three species was also negatively correlated with temperatures during the late summer months of the year prior to ring formation. Only hemlock and sugar maple showed a positive correlation with precipitation during the year prior to ring formation. Of the three species, hemlock was most influenced by temperature and showed a positive correlation with winter temperatures. Our results also showed that, since the mid-19th century, certain climatic variables temporarily dominated the growthclimate association of the species. Hemlock showed the most stable growthclimate association, whereas in sugar maple, negative correlations with late winter temperature showed up during the second half of the 20th century.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".