Complex histories of speciation and dispersal in communities: a re‐analysis of some Australian bird data using BPA
Bibliographic record
Abstract
Aim Demonstrate the utility of Brooks Parsimony Analysis (BPA) in showing that communities of species characterizing areas of endemism may have complex histories rather than simple histories of vicariance, and that the non‐vicariant influences can be discovered. Location Australia. Methods Primary and secondary BPA of eight clades of Australian birds inhabiting ten areas of endemism. Results While supporting previous general conclusions that the evolution of those members of the Australian avifauna has been influenced by two different vicariant elements, BPA also discovered substantial non‐vicariant elements, including one non‐response to a vicariance event, five instances of peripheral isolates speciation, four episodes of extinction, seven cases of post‐speciation dispersal and three lineage duplications, which could represent ancient episodes of sympatric speciation. The result of including all evolutionary events in the analysis is that seven of the ten areas have reticulate histories. Main conclusions Areas of endemism are not necessarily the result of simple histories of vicariance. They may also be evolutionary hot spots, places where multiple evolutionary events have occurred over a significant period of time. This produces communities heavily influenced by a variety of evolutionary processes affecting the same areas at different times.
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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 | 0.001 | 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) | 0.000 | 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".