Woodpecker Abundance and Habitat Use in Mature Balsam Fir Forests in Newfoundland
Bibliographic record
Abstract
Availability of the oldest age-class of balsam fir (Abies balsamea) forest, the major forest type of western Newfoundland, is declining through logging, insect effects, and management for a 60-year harvest rotation. Loss of old-growth balsam fir forests may limit the availability of woodpecker habitat if nesting trees and feeding substrates are most abundant in these later successional stages. We assessed abundance of black-backed woodpeckers (Picoides arcticus), downy woodpeckers (P. pubescens), and hairy woodpeckers (P. villosus) in 10 stands in each of 3 forest age classes (40-59, 60-79, and >80 yr) of balsam fir in western Newfoundland. For each stand, we quantified 10 habitat variables that may have influenced habitat use by woodpeckers. Black-backed woodpeckers were almost exclusively found in >80-year-old forests. Density of black-backed wood-peckers was significantly related to number of large snags, but negatively to the total number of dead stems. Downy woodpeckers were common and similarly distributed among the 3 forest age classes, and hairy wood-peckers were uncommon and only observed in the 40- and 60-year age classes. Downy and hairy woodpeckers were significantly associated with the number of white birch snags in the stands, a resource that declined with forest age. A reduction in the amount of forest in the oldest age class is probably reducing the population of black-backed woodpeckers in western Newfoundland. We recommend a series of fixed-width transects, coupled with point counts using call broadcasts, as an effective means of surveying woodpeckers. Forest managers must maintain large areas of old forests, temporally and spatially, to maintain black-backed woodpeckers in Newfoundland.
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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 | 0.001 |
| 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".