Temporal niche of acoustic activity in anurans: interspecific and seasonal variation in a neotropical assemblage from south-eastern Brazil
Bibliographic record
Abstract
Abstract Sympatric anuran species tend to differ in their temporal niche breadth and may also have considerable seasonal variation in diel activity patterns. We studied the temporal niche breadths of six anuran species during 24 consecutive months in an area of secondary forest at the Brazilian Atlantic Rainforest. Along hourly intervals, at each of three observation points along a stream, the number of calling males of Adenomera marmorata, Eleutherodactylus parvus, Physalaemus signifer, Aplastodiscus eugenioi, Scinax hayii and S. trapicheiroi was recorded. The influence of rainfall, air humidity and temperature on the variation in the niche breadth of each species was analysed. Mean niche breadth differed for all species. Scinax trapicheiroi had the broadest niche and S. hayii had the smallest. Temporal niche breadth varied seasonally for all species. Two species (E. parvus and S. hayii) showed strong variation in the temporal niche when compared to the other species. Eleutherodactylus parvus, A. eugenioi and S. hayii were significantly affected by rainfall, air humidity and temperature. Niche overlap among species pairs also varied annually with mean temporal niche overlap being greater during the rainy season than during the dry season.
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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 | 0.001 |
| 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 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".