Islands in the ice: colonisation routes for rock ptarmigan to the Svalbard archipelago
Bibliographic record
Abstract
The ancestors of rock ptarmigan Lagopus muta originated in the Beringia area well before the disruption of the Beringian land bridge. They spread westwards to Siberia and eastwards to the North American arctic and Greenland. The distribution of rock ptarmigan has been affected by glaciations restricting it to geographically limited refugia. Today the species has a circumpolar distribution in arctic tundra and alpine habitats, with up to 30 subspecies recognised based on morphological characters. We sequenced the mitochondrial control region for 72 individuals and genotyped 69 individuals for 12 microsatellite loci to investigate neutral genetic variation within and among five rock ptarmigan populations, Greenland, Iceland, Scandinavia, Svalbard and Taimyr. Genetic structure among the studied samples was high, overall F ST estimated from microsatellite loci was 0.18 and only one out of 16 mtDNA haplotypes was found in more than one population. Genetic variation ( h, π, H e , allelic richness) was slightly lower in the Svalbard population than in other populations, suggesting a low effective population size, possibly due to isolation following colonisation. An unrooted network and a phylogenetic tree showed that the Scandinavian population has diverged from the other populations by at least ten mutational steps, probably due to independent colonisation of Europe and subsequent long‐term isolation, and rules out Scandinavia as a source for colonisation of Svalbard. Alignment with partial control region sequences from other studies showed that the haplotype that was central in our network and found on Svalbard and in Taimyr, most likely corresponds to a haplotype found in Siberia, Alaska and the Canadian Arctic, but not in Greenland, Scandinavia and Iceland. This suggests an eastern origin of rock ptarmigan in Svalbard, although this question cannot be settled conclusively.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".