MAPPING EVENTS: CAMBIUM PHENOLOGY ACROSS THE LATITUDINAL DISTRIBUTION OF BLACK SPRUCE
Bibliographic record
Abstract
This study used statistical models for describing the spatial patterns of variation in cambium phenology and xylem cell production across the entire latitudinal distribution of a species. The studied area extends over 600 km from the 48th to the 53rd parallel in the boreal forest of Quebec, Canada. Microcores were collected weekly from April to October 2012 from 50 Black spruce [Picea mariana (Mill.) BSP] trees in five stands. The dates of occurrence of the phases of cambium phenology were identified on histological sections and correlated to the latitude and altitude of the sites by means of linear and non-linear functions. The results were used to estimate the timings of xylem growth and cell production across the sampled region. Phenology was mostly represented by linear functions. The increase in latitude and altitude produced a proportional variation in the beginning and ending of xylem differentiation, thus leading to a shorter length of the period of wood formation. The phase of cell enlargement and cell production changed according to a non-linear pattern represented by a negative exponential curve. Latitude was the factor with the greatest impact on xylem phenology, while altitude had a slight or no effect, especially for nonlinear relationships. Xylem formation is a complex process composed of several phenological phases that change across a species distribution area according to either linear or non-linear patterns. Knowledge and quantification of these patterns are important for modelling the dynamics of tree growth across wide geographical areas and for predicting productivity of forest ecosystems under climate change scenarios.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".