Multiscale Postfledging Habitat Associations of Juvenile Songbirds in a Managed Landscape
Bibliographic record
Abstract
Habitat selection is a hierarchical process that proceeds from broad to fine spatial scales. Failure to account for spatial scale in studies of habitat selection may result in an incomplete understanding of key habitat characteristics. For juvenile songbirds, postfledging habitat may be important for migratory preparation and survival; however, there is currently little information regarding habitat associations during this period. We used radiotelemetry to investigate habitat associations at fine and broad spatial scales in juvenile Yellow-rumped Warblers (Dendroica coronata) and Blackpoll Warblers (D. striata) in a managed boreal forest in northwestern Newfoundland. At the local scale, both species were associated with locations characterized by dense vegetative cover, and Blackpoll Warblers were also associated with locations characterized by high amounts of coarse woody debris. At broader extents, Yellow-rumped Warblers were associated with patches situated downslope of their previous location, as well as patches surrounded by low amounts of clearcut land cover at the 115-m scale and patches with high foliage density during 2006. Unlike Yellow-rumped Warblers, Blackpoll Warblers were more likely to be observed in patches surrounded by high amounts of clearcut land cover at the 115-m scale and were sensitive to clearcut land cover at the 1,250-m scale. Our results demonstrate the importance of spatial scale in studies of habitat association; given interspecific differences in response to clearcut land cover, they also suggest that a general management strategy for songbirds with respect to clearcut land cover in the boreal forest may remain elusive.
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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 | 0.000 |
| 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".