The response of subalpine fir (Abies lasiocarpa (Hook.) Nutt)) growth and resilience to climate change in Northern Rockies, Interior British Columbia, Canada
Bibliographic record
Abstract
Understanding forest growth and resilience under global climate change is crucial for forest management, to maintain wood supply for future. In this research, I focused on the response and resilience of subalpine fir (Abies lasiocarpa (Hook.) Nut)) growth to climate variables and severe drought events at five stands located along northern slopes of the Rockies in northern BC, Canada. Results revealed that temperature (especially summer and previous fall) was the most important climate factor controlling growth of subalpine fir trees at study sites. The lower the latitude, the more summer temperature negatively effected tree growth. Also, results showed that subalpine fir trees were resilient to very dry conditions at study sites, when considering the growth recovery period to drought was between 1 to 2 years. The lower the latitude, the faster the trees recovered from drought. However, subalpine fir trees located at higher latitudes were more resistant to the effects of drought.
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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 | 0.000 | 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) | 0.002 | 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".