Speciation genetics in two pairs of high-latitude, migratory bird taxa
Bibliographic record
Abstract
I investigated and characterized the divergence of two pairs of putatively young, high-latitude, migratory bird taxa with data from mitochondrial and nuclear DNA.I chose pairs exhibiting natural history attributes suggesting divergence scenarios that probably did not involve strict allopatry.First, I examined Pluvialis dominica and P. fulva, migratory plover species with a largely parapatric breeding range in Beringia.Secondly, I examined Aegolius acadicus acadicus and A. a. brooksi, a subspecies pair of owls where one subspecies (brooksi) is endemic to Haida Gwaii, Canada, a location where subspecies acadicus occurs during migration, resulting in cyclic sympatry (heteropatry) with brooksi.Using mtDNA sequence data and AFLPs I made inferences about population parameters, inferred the likely number of populations, and sought evidence of selection.Gene flow was very low in both pairs.The plovers are much older than was anticipated (1.8 Mybp), although hybridization does occur.Evidence for parapatric or speciation with gene flow scenarios was not found in the plovers, perhaps because the speciation event occurred far in the past.The owl's divergence date was relatively young (~16,000 ybp).Some evidence was found suggesting that heteropatric divergence contributed to the owl's differentiation, although the process could also have reinforced differences acquired largely in allopatry.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.051 | 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".