Wing morphology of Neotropical bats: a quantitative and qualitative analysis with implications for habitat use
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Wing morphology has a direct influence on the flight manoeuvrability, agility, and speed of bats. Studies addressing the relationship between bat wing morphology and ecology are biased towards Old World species and few of them have addressed the ecologically rich Amazonian bat fauna. We quantitatively and qualitatively characterized the wing shape of 51 bat species found in the Brazilian Amazonia by measuring their aspect ratio (AR) and relative wing load (RWL). We found a high variability in wing shape: AR varied from 5.0862 (pygmy round-eared bat, Lophostoma brasiliense (Peters, 1866)) to 8.2774 (brown dog-faced bat, Molossus (Cynomops) paranus (Thomas, 1901)), while RWL varied from 20.0459 (spectral bat, Vampyrum spectrum (L., 1758)) to 55.3931 (Pallas’s mastiff, Molossus molossus (Pallas, 1766)). Insectivores had the largest variability, whereas frugivores and nectarivores had intermediate values with lower variability, indicating a higher flexibility in the use of space and resources. Our predictions on flight patterns are supported by capture and behavioural data from the literature, both of which point to the use of wing shape as a good proxy for habitat use and food partitioning among species. Our data are useful for integrative studies in ecology, physiology, behaviour, and evolution, and can contribute to a better understanding of the ecological interactions of Neotropical bat species.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.000 |
| 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 it