Interplay of diet and sympatry in the morphological evolution of noctilionoid bats
Bibliographic record
Abstract
Abstract Aim The remarkable ecomorphological diversity of the bat superfamily Noctilionoidea is the result of a diet‐mediated adaptive radiation. Stemming from a putatively insectivorous ancestor, noctilionoid bats diversified to adapt to the widest range of dietary ecologies among mammals. The high concentration of noctilionoid diversity in the Neotropics raises the question as to whether competitive ecological interactions influenced their diversification. However, patterns of morphological diversification along gradients of coexistence in Noctilionoidea are understudied. Here, we assessed the effect of dietary adaptations on patterns of morphological divergence associated with coexistence in noctilionoid bats. Location The Americas and the Caribbean. Taxon Bat superfamily Noctilionoidea. Methods Using a set of five dental morphological traits and a sample of 108 species, we quantified morphological distances between noctilionoid species pairs to reveal patterns of morphological divergence along gradients of range overlap and dietary similarity. We incorporate phylogenetic information to control for the effects of species' relatedness on morphological distances. Results Overall, we found a significant association between morphological divergence, coexistence and diet. Decomposing the correlation between morphological divergence and sympatry across dietary groups, our results revealed distinctive patterns consistent with both character convergence and divergence. Specifically, we found evidence of character convergence in herbivorous species and character divergence in omnivorous species. Main Conclusions Our results indicate that the morphological diversification of noctilionoid bats followed parallel evolutionary trajectories of directional (both divergent and stabilising) and nonselective evolution linked to dietary adaptations.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".