Environmental correlates of canopy composition at Mont St. Hilaire, Quebec, Canada<sup>1</sup>
Bibliographic record
Abstract
Arii, K., B.R. Hamel, and M.J. Lechowicz (Department of Biology, McGill University, 1205 Av. Docteur Penfield, Montréal, QC H3A 1B1). Environmental correlates of canopy composition at the Gault Nature Reserve in southwestern Quebec, Canada. J. Torrey Bot. Soc. 132: 90–102. 2005.—The environmental basis for variation in canopy composition was investigated in an extensive old-growth forest at Mont St. Hilaire, Quebec, Canada. Based on 144 permanent plots, spatial variation in canopy tree species and the effect of environmental variables on canopy composition were examined using canonical correspondence analysis (CCA). Slope and the amount of direct solar radiation received during the growing season, both of which are good indicators of soil moisture, were the main factors explaining plot-to-plot variation in canopy composition. Quercus rubra, Betula papyrifera, Ostrya virginiana and Pinus strobus predominated on plots with high insolation and steeper slope, while species such as Acer saccharum, Fagus grandifolia, Betula alleghaniensis, and Tilia americana occurred on sites with gentler slope and lower insolation during the growing season. Additionally, plots with greater dominance of Acer saccharum in the canopy had higher soil nitrogen availability, and plots with greater dominance of Fagus grandifolia had lower Ca availability.
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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 | 0.001 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".