Nest-site characteristics and the influence of clear-cutting at multiple scales on breeding success of migratory songbirds in Newfoundland
Bibliographic record
Abstract
Animal populations can fluctuate depending on fluctuations at multiple scales in habitat availability and habitat structure. Using nest-monitoring and passive mist-netting, I examined the importance of habitat composition at nest-site (5 m), local (20 m), neighbourhood (115 m), and landscape (1250 m) scales, in relation to breeding success of boreal birds. At the scale of the nest-site, each of three species ('Dendroica coronata, Dendroica striata,' and 'Zonotrichia albicollis') non-randomly situated their nests in terms of structural vegetation variables. However, none of the structural variables that distinguished nest-sites from random sites were important predictors of overall nest success or nest predation. When focusing only on nest-sites, neither of the 'Dendroica' species had structural vegetation variables associated with nest success. However, successful 'Zonotrichia albicollis' nests were associated with less canopy cover and woody debris than unsuccessful nests. At local, neighbourhood, and landscape scales, several trends were observed between habitat composition (proportion of clear-cut) and breeding success. First, habitat composition at broader landscape scales became more important to breeding birds as the breeding period progressed. Second, spatial and temporal heterogeneities interacted to make breeding success difficult to predict. Third, influences of habitat composition differed depending on the species, but forest-nesting specialists were more negatively influenced by increased proportions of clear-cut in the surrounding area.
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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 | 0.001 |
| 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 | 0.000 | 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".