Characterization of old "wet boreal" forests, with an example from balsam fir forests of western Newfoundland
Bibliographic record
Abstract
Wet boreal forests occur primarily in Atlantic Canada especially in Newfoundland, but examples are also found in Quebec and the northeastern U.S.A. These forests are dominated by balsam fir (Abies balsamea), which is susceptible to fire but flourishes in wetter environments where fire is absent. The major stand disturbances are caused by insects, primarily spruce budworm (Choristoneura fumiferana) and hemlock looper (Lambdina fiscellaria), followed by root rots and blowdown. Stands in Newfoundland were characterized by large amounts of dead standing and fallen wood, as a result of self-thinning processes and insect attacks. A comparison of 40-, 60-, and [Formula: see text]80-year-old forests in Newfoundland indicated that the oldest stage of balsam fir forests had a distinctly different structure, including more large dead and fallen wood, a more irregular canopy including gaps, a more diverse ground flora, more moss ground cover, a more variable tree height, taller snags, fewer white birch snags, and fewer deciduous small trees. These differences were reflected in various plant and animal faunas that were distinct in the old forest including: flowering plants, beetles, Collembola, oribatid mites, mammals, and birds. Several species of plants and animals were only found in the oldest forest stands, including a high percentage among the arthropods. Suggested indicator species at the stand level include black-backed woodpeckers (Picoides arcticus) and marten (Martes americana). Logging results in a larger mean patch size than that caused by natural insect disturbances, possibly affecting dispersal by soil organisms and plants within the new landscape. A portion of the landscape, keyed to species with the largest area requirements to maintain their populations, including marten, black-backed woodpeckers, and (or) boreal owls (Aegolius funereus) could guide the amount of old forest, and individual patch sizes, required across a landscape over time. Key words: old growth, biodiversity, species richness, forest management, balsam fir.
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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) | 0.001 | 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) | 0.001 | 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 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".