The influence of site factors on A. saccharum growth response in Algonquin Provincial Park to climatic variability
Bibliographic record
Abstract
In this thesis I investigate the influence of biotic and abiotic factors on the sensitivity of sugar maple ('Acer saccharum ') annual radial growth to climatic variability in Algonquin Provincial Park, central Ontario using dendroecological techniques. I developed site chronologies from 19 stands representing a range of edaphic conditions and stand properties. Correlations between annual radial growth and monthly climatic variables indicates that sugar maple in this region are most often limited by periods of high temperatures during the previous summer and current spring and summer, and are weakly positively correlated to increased precipitation in the previous winter and current summer. However, responses varied strongly among the 19 sites. Hierarchical clustering of the climate responses suggests three categories of responses: 3 of the sites are strongly limited by several temperature parameters, including previous summer and current spring; 12 of the sites are weakly limited by temperature, with a significant negative correlation to previous summer; and 4 of the sites are not associated with climatic variability at all. An Analysis of Variance (ANOVA) indicates that these clusters differ in the percent organic matter present, but not in the 22 other soil, site, and stand variables included. These results suggest that in this region, sugar maple will respond to climatic variability and change based on site-specific properties, rather than uniformly.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".