Tree-ring Analysis of Five Picea Glauca- Dominated Sites from the Interior Boreal Forest in the Shakwak Trench, Yukon Territory, Canada
Bibliographic record
Abstract
Five tree-ring chronologies were developed from low-elevation stands of white spruce (Picea glauca [Moench] Voss) situated in the interior boreal forest of the Shakwak Trench, Yukon Territory. The objective of this study was to investigate the climate impacts on tree growth using trees from within plots located in an interior boreal forest. The five chronologies depict similar trends in tree-ring width, suggesting a significant climatic influence on tree growth. Although the variability and sensitivity of these chronologies is lower than that of treeline sites, low-frequency ring-width variability is remarkably coherent among all the sites used in this study. The relationship between the chronologies and the regional climate data demonstrates that precipitation is more highly correlated with tree-ring width than temperature. This study demonstrates the importance of climate influences on tree growth within sites located in the interior of the boreal forest.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".