Ecological Traits Explain Levels of Genetic Divergence Across an Environmental Barrier Among South American Birds
Bibliographic record
Abstract
ABSTRACT Aim To compare the level of mitochondrial divergence between avian populations east and west of the open vegetation corridor (OVC), an environmental barrier that currently isolates the Atlantic Forest from the Andean forests and Amazonia, and assess whether biological attributes can explain the patterns of intraspecific variation observed. Location South America. Taxon Birds. Methods We estimated net genetic divergence between populations on opposite sides of the OVC for 71 bird species based on 727 sequences of the mitochondrial gene COI. Species were categorised based on three ecological attributes and two morphological traits. The relationship between divergence and the biological attributes was assessed through generalised linear mixed models and univariate analyses. Results Divergence between populations on both sides of the OVC tended to be low, implying that nearly all diversification events took place within the Pleistocene, and were discordant among species. Differences in habitat specialisation were by far the most relevant to explain this discordance, with significantly higher intraspecific distance among forest specialists than among species capable of inhabiting open environments. The relative importance of all other traits was notably lower, but understorey species that feed on animals showed a significantly higher genetic divergence across the OVC than those with a plant‐based diet that forage in the canopy. We found no association between genetic distance and morphology. Main Conclusions Ecological attributes can explain the pattern of discordant mitochondrial divergences between populations on both sides of the OVC. Our findings emphasise the need for more comparative studies that take into account functional traits.
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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 | 0.000 |
| 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 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".