Dendroecological assessment of tree island growth trends and patterns in the Cavell Meadows, Jasper National Park, Canadian Rocky Mountains
Bibliographic record
Abstract
Dendroecological studies in the western cordillera of Canada and the United States of America have revealed that the character and location of many climatically-controlled treelines have changed dramatically within the last century. This presentation illustrates the results of an analysis of tree islands located within a treeline ecotone in the Cavell Meadows, Jasper National Park (JNP), Alberta. Historical photographs show tree cover increasing and previous assessments of seedling establishment within the region suggest these changes are climatically controlled. Past research has shown changes in the alpine treeline ecotone are characterized by a movement from tree islands to patch-forest morphs. The goal of our study was to discern which ecological mechanisms were driving the expansion of the subalpine fir (Abies lasiocarpa) tree islands into the surrounding alpine meadows in Cavell Meadows. Periods of stem establishment within the meadows were found to correspond with periods of above average radial growth of trees in the continuous forest. Consistent with previous research, we discovered that the radial growth of subalpine fir trees in Cavell Meadows was negatively correlated with past summer air temperatures. Based on the findings of our investigations, we offer a prediction of the future of tree island expansion in Cavell Meadows.
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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 | 0.000 | 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".