Effects of Selection Cutting and Landscape‐Scale Harvesting on the Reproductive Success of Two Neotropical Migrant Bird Species
Bibliographic record
Abstract
Abstract: We measured the effects of forest harvesting at two spatial scales on the productivity of two Neotropical migrant bird species, the Black‐throated Blue Warbler ( Dendroica caerulescens ) and the Ovenbird ( Seiurus aurocapillus ). We selected two forest landscapes representing extremes in harvesting intensity for northwestern New Brunswick, Canada. Within each landscape, we selected study plots located either in recent (<5 years) selection‐cut stands (30% removal every 20 years) or in stands that were lightly harvested at least 30 years ago. Black‐throated Blue Warblers reached higher densities in selection cuts, but their reproductive performance ( pairing and fledging success) did not differ significantly between stand types (uncut vs. selection cut) or between landscape types (intensively vs. moderately harvested). In 1998, nonetheless, 61% of the estimated number of fledglings produced in our plots were born in selection cuts. In contrast, this proportion was only 23% for Ovenbirds in 1998 and 1999 combined. Ovenbirds had lower densities, and their reproductive performance was significantly lower in selection cuts than in uncut plots. These results indicate that the effects of selection cutting on demography are species‐specific and that Ovenbird persistence in selection cuts may be compromised unless the intensity or frequency of cutting is decreased.
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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) | 0.000 | 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".