Tree recruitment pulses and long-term species coexistence in mixed forests of western Québec
Bibliographic record
Abstract
In sub-boreal forests of northeastern North America, late-successional stands often contain a fine-scale mixture of several coniferous and hardwood tree species, including an important proportion of relatively shade-intolerant species such as white birch (Betula papyrifera) and yellow birch (B. alleghaniensis). In order to better understand the recruitment of these species, we determined the age at 1 m height of each tree in sample plots located in three stand types representative of different site conditions in a small forest mosaic undisturbed by humans. Three recruitment pulses occurred synchronously in all stand types during the periods 1835–1860, 1910–1930, and 1970–1990, the last two being related to known spruce budworm (Choristoneura fumiferana) outbreaks. These pulsed recruitment episodes were identified for birch species, but also for more shade-tolerant species such as balsam fir (Abies balsamifera) and to a lesser degree white cedar (Thuja occidentalis). White cedar was the only species for which there was some recruitment during the 1940–1960 period, but this was restricted to only one stand type located on mesic sites. These results indicate that when examined over relatively long periods of time, resource availability after canopy disturbances is an important factor for the recruitment above 1 m height for most tree species. In sub-boreal forests, periodic and synchronous mortality of balsam fir can favour the emergence of multi-species, multi-cohort stands, especially where soil conditions are adequate for the recruitment of other tree species.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".