Role of substrate on the dendroclimatic response of Scots pine from varying elevations in northern Scotland
Bibliographic record
Abstract
The influence of substrate was evaluated by comparing annual ring widths of Scots pine (Pinus sylvestris L.) with climate data at 13 new sites (five bog, three peat, and five soil), together with 17 previously studied soil sites in northern Scotland. Radial growth rates <1.0 and >1.5 mm·year–1 differentiate well between pine growing on bog and peat, respectively, highlighting the role of pine as a indicator of water levels in these environments. Scots pine chronologies from bog are shown to have a weak temperature–growth response and so limit potential in dendroclimatic reconstructions. However, correlation analysis shows temperature in January–February and July–August to be important determinants of the radial growth of Scots pine on soil. Moving correlation analysis indicates that the relationship between the radial growth of pine on soil near the altitudinal tree line and summer temperature (July–August) is time stable, despite an increase of temperature in northern Scotland. However, winter (January–February) temperature has become less limiting since the 1920s. Scots pine at some soil, bog, and peat sites have increased or developed correlation with October temperature since the 1940s, suggesting an extension of the growth season, particularly on the western coast of Scotland.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".