Xylogenesis of Pseudotsuga menziesii in Canadian Rockies under the influence of age and the elevation gradient
Bibliographic record
Abstract
We studied cambial activity (CA; onset, duration, cessation), cambium cells (CC; numbers during dormancy and throughout the growing season), and the process of xylogenesis (phases of xylogenesis: postcambial growth [PC], cell wall thickening and lignification [SW], mature cells [MT], and cambial productivity [CP]) in montane forest stands of Douglas fir (Pseudotsuga menziesii (Mirbel) Franco var. glauca (Mayr) Franco) in southern Alberta, Canada. We assessed the relationship between these dependent variables and exogenous factors (elevation and meteorological data) as well as endogenous regulation (tree age). Microcores were collected weekly throughout the growing season (April–October 2013) from 36 trees in two age categories located at three sites at different elevations (1480, 1670, and 1820 m a.s.l.). Samples were embedded, dehydrated, sectioned, and stained before counting cells and analysing xylogenesis in three randomly selected radial rows per sample. Gompertz growth function curves were generated for each site and age group, and linear regression was used to evaluate the relationship between cell production rate and meteorological variables. Location significantly impacted CA. Although tree age did not influence the onset of CA, it was associated with cambium cell numbers during the growing season. The duration of CA and the final xylem increment were related to location, while tree age showed a weaker relationship. The duration of CA, as calculated with the Gompertz function, increased with decreasing elevation and was prolonged in older trees. Overall, location strongly affects cambial activity and xylogenesis, while the impact of tree age was insignificant.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 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".