CHARACTERIZING INTRA-ANNUAL XYLEM CELL FORMATION AND CIRCADIAN CYCLE DYNAMICS OF JACK PINE (PINUS BANKSIANA) IN THE NORTHERN BOREAL FOREST, YELLOWKNIFE, NORTHWEST TERRITORIES
Bibliographic record
Abstract
Xylem cell formation and stem radial fluctuations for jack pine in Yellowknife, NT were assessed during the 2017 season. The characterization of the timing of the onset of xylogenesis reactivation, period(s) of rapid cell development, and termination of seasonal stem growth were recorded over the estimated growing season. Two methods, microcores and automatic point dendrometers were used to better understand what the characteristics of a growth season looks like for jack pine at its northern limit within the boreal forest. It was demonstrated that onset of cell development at the study site “Treeville” occurred once temperatures had exceeded the 4-5ºC temperature threshold, the period of rapid growth was observed around June 21 for all phases of xylogenesis, aligning with the timing of annual longest photoperiod during summer solstice. It is demonstrated that jack pines in this region are much slower growing, with cell development at ~0.28 cells/day during the period of rapid growth, and site wide average of ~13 cells. Precipitation was highly correlated with the observation of the SRI phase throughout the season, most notably in the period prior to cell wall-thickening. A multi-year cell development assessment indicated a relationship with June precipitation, demonstrating lower cell counts in years with low June precipitation. Cell growth was recorded to end in late August, although some trees demonstrated cells in developing phases into early September. Overall, results suggest (1) strong relationship between the onset of jack pine wood formation when temperatures exceed established thresholds for growth, (2) demonstrated that the period of rapid growth aligns with longest daylength June, and (3) annual cell count is controlled by June precipitation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".