A tree-community-level analysis of successional status and gap-phase and postfire regeneration of range-margin<i>Thuja plicata</i>(western redcedar)
Bibliographic record
Abstract
Range-margin populations may have different life history characteristics than other populations, and the montane forests of Glacier National Park represent the easternmost limit of several western conifer species including Thuja plicata Donn ex D. Don (western redcedar) and Tsuga heterophylla (Raf.) Sarg. (western hemlock). Understanding regeneration strategies of range-margin populations is important for predicting species distribution shifts. We identify successional status, seedling substrate preferences, and the degree to which different species establish within canopy gaps and the forest matrix. Thuja plicata and Tsuga heterophylla were each found to comprise at least 35% of all tree size classes, with six other species each contributing less than 6%. Similarly, other species each comprised less than 5% of canopy gap and understory seedlings. Thuja plicata is typically thought of as a late-successional species but it, along with Tsuga heterophylla, dominated stands during all stages of successional development. Similarly, they dominated both closed forest and gap establishment sites on all rooting substrates but preferred wood for establishment. Even with the likelihood of increased fire frequency, these range-margin populations likely have the capacity to maintain their current distributions. As disturbance regimes are modified across landscapes, it may be possible to observe the potential to adapt to local conditions in other range-margin populations.
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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 | 0.000 |
| 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) | 0.001 | 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".