Breeding Phenology and Reproductive Success of Larid Species Nesting in Cuba
Bibliographic record
Abstract
Breeding phenology is a life history trait that influences reproductive success and population dynamics, yet it remains poorly studied in tropical seabird species. The Caribbean constitutes a breeding hotspot for seabirds, although information about their phenology and reproductive success is limited. We characterized the breeding phenology and reproductive success of seven larid species during the 2021 breeding season on three cays in Cuba. To document breeding phenological phases, we conducted weekly surveys and used camera traps. We also recorded the number of nests, eggs and fledglings. Overall, the breeding phenology of the studied species was seasonal and relatively synchronous, occurring primarily from May to August. The phenological pattern exhibited in this larid community may reflect increased prey availability during the rainy season in Cuba. Additionally, denser vegetation cover—resulting from higher rainfall—may offer greater protection against predators, particularly because most of the species are summer residents. Reproductive success was high (≥ 50% per pair) for Laughing Gull Leucophaeus atricilla, Sooty Tern Onychoprion fuscatus, and Roseate Tern Sterna dougallii in all cays, while Bridled Tern O. anaethetus and Royal Tern Thalasseus maximus exhibited variable reproductive performance between cays. Sandwich Tern T. sandvicensis exhibited moderate reproductive success (40%-49%). Landscape features at nesting sites appeared to strongly affect the reproductive success of both Bridled Tern and Royal Tern.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".