Divergent Population Trends of Two Sympatric Auk Species in the Rapidly Warming Gulf of Maine
Bibliographic record
Abstract
Rapidly warming global temperatures are having a widespread influence on wildlife communities across taxa, with southern-edge populations often experiencing the greatest negative impacts. However, sympatric species may exhibit divergent demographic responses due to differences in life history strategies and niche separation. We used integrated population models to estimate abundance, survival, and productivity for Atlantic Puffins and Razorbills nesting at the southern edge of their breeding range in the rapidly warming Gulf of Maine. We then conducted transient life table response experiments to understand the relative importance of demographic parameters in driving population dynamics. We found that the Atlantic Puffin population remained relatively stable over the 22-year study period, whereas the Razorbill population increased substantially. Estimates of mean survival and productivity were similar between the study species but were at the lower range of values reported in the literature across their range. Despite similar estimates of mean productivity, interannual variation in this demographic rate was much higher in Puffins than Razorbills. Overall, adult survival was found to be the primary driver of population dynamics for both species yet shows evidence of long-term decline in Puffins. For Razorbills, we found similar evidence of long-term decline in first-year survival. Overall, our findings suggest that these sympatric species may be responding differently to shared environmental conditions. Given the observed long-term decrease in Puffin adult survival, future monitoring and conservation efforts for this species should be focused outside the breeding season in critical overwintering areas and migratory locations where adult mortality is typically concentrated. Similarly, given the observed long-term decline in Razorbill first-year survival, additional monitoring and tracking of chicks is warranted for this species to understand where immature individuals are going after they fledge from the colony.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 source (direct Gemma or distilled Codex), 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".