Bird Responses to Burning and Logging in the Boreal Forest of Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We compared how bird communities differed between burned and logged stands in black spruce (Picea mariana) forests of the boreal shield in Quebec and mixed-wood forests on the boreal plain in Alberta and Saskatchewan.Bird community composition was quite different in burns and clearcuts shortly after disturbance.In burns, cavity nesters and species that forage on beetles in dead trees predominated, whereas clearcuts were dominated by open-country species.Generally, snag-dependent species decreased and shrub-breeding species increased by 25 yr postfire.Species that forage and nest in canopy trees were more common 25 yr postlogging because of the retention of live residual trees.The bird communities tended to converge over time as the vegetation in burns and logged areas became more similar.Black-backed Woodpeckers (Picoides arcticus) and Three-toed Woodpeckers (Picoides tridactylus) exploit recently burned coniferous forest to forage on woodboring insect larvae (Cerambycidae and Buprestidae) and bark beetle larvae (Scolytidae) for a short period after fire and then decline.Black-backs were absent from mature forests and found at low density in old-growth forest.Over the long term, burns may be temporary sources for fire specialists.The major conservation issue for fire-associated species is salvage logging, because woodpecker foraging and nesting trees are removed.Maintenance of suitable amounts of postfire forests spared from salvage logging is essential for sustainable forest management.Climate change is predicted to alter fire cycles: they will be shorter in the prairies leading to a shortage of old-growth forest and will be longer in Quebec leading to a shortage of younger forest.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it