A historical biogeographical protocol for studying biotic diversification by taxon pulses
Bibliographic record
Abstract
Abstract Aim To present a historical biogeographical protocol for distinguishing biotic diversification by taxon pulse radiations from biotic diversification by vicariance. Location Mexico and northern Central America. Methods Brooks Parsimony Analysis (BPA), phylogenetic inference, linear correlation analysis. Results The taxon pulse radiation of 33 clades in nine areas of endemism in Mesoamerica is based on nine episodes of biotic expansion from three areas, and six episodes of vicariance, involving four geographical splits. Nineteen per cent of speciation events are due to vicariance, 25% to peripheral isolates speciation and 56% are within‐area events. The species–area curve has a correlation coefficient (r2) of 0.47. Extinction events and species richness are highly correlated (r2 = 0.75), but colonization events and species richness are poorly correlated (r2 = 0.36), suggesting that colonization is not the main determinant of the species–area relationship. Colonization events are more poorly correlated with size of area (r2 = 0.05) than arein situspeciation events (r2 = 0.60). Colonization events andin situevents are poorly correlated (r2 = 0.02). All areas of endemism have reticulated histories, and have acted as both sources and islands at various times. Main conclusions Taxon pulses can be distinguished from maximum vicariance using this protocol; refining it requires a method for generating area cladograms from complex data and incorporation of direct dating of evolutionary events.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".