Postfire succession in <i>Pinus albicaulis</i> <i>Abies lasiocarpa</i> forests of southern British Columbia
Bibliographic record
Abstract
To examine postfire succession in forests where Pinus albicaulis Englem. is common, we conducted chronosequence studies in two areas of contrasting climate in southern British Columbia. Tree age and growth data indicated that Pinus albicaulis established rapidly following fire disturbance but that trees also continued to establish in late seral stands. Interactions with Pinus contorta Dougl. ex Loud., which grows faster, are pivotal in controlling the population dynamics of Pinus albicaulis. Where Pinus contorta established abundantly after fire, it dominated stands and limited the abundance of Pinus albicaulis, even after the postfire Pinus contorta had largely died. In contrast, where few or no Pinus contorta established, Pinus albicaulis dominated stands throughout most of the successional sequence. Although Pinus albicaulis decreases in abundance in late seral stands, we found no evidence that it would be completely replaced by more shade-tolerant species in our study areas. Thus, Pinus albicaulis is not only a pioneer species like Pinus contorta, even though it establishes in abundance after disturbance, but also a stress tolerator, with population dynamics molded by its ability to grow slowly and persist for long periods under adverse conditions and by bird dispersal of its seeds.Key words: Abies lasiocarpa, forest fire, Picea engelmannii, Pinus albicaulis, Pinus contorta, succession.
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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 | 0.001 | 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) | 0.002 | 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 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".