Range-wide population structure and recent evolutionary history of the grey seal
Bibliographic record
Abstract
Wildlife management and conservation requires knowledge about a species’ population structure, diversity, demographic history and adaptive potential. However, often such information is lacking, or based on insufficient and sometimes contrasting data. This is the case for the grey seal (Halichoerus grypus), for which there remain uncertainties regarding subspecies and population delineations, diversity and recent evolutionary history, despite numerous genetic and non-genetic studies. Here, we present the first range- and genome-wide population genomic analysis of grey seals based on 3,812 nuclear SNP markers genotyped in 188 samples from 17 distinct localities. Our analyses support the existence of three main grey seal populations centred in the NW Atlantic, NE Atlantic and Baltic Sea, but also point to the existence of previously unrecognised substructure within the NE Atlantic, in particular separating grey seals sampled in Iceland, Norway and Russia from the core NE Atlantic population inhabiting the wider North Sea region. We detected remarkably low levels of genetic diversity in NW Atlantic grey seals, which may be the result of evolutionary founder effects, as well as more recent historic hunting and culling. We also found some localities that deviate from the general isolation by distance pattern, likely reflecting wide-scale metapopulation dynamics associated with recolonisation and recovery of grey seals in regions where they were historically extirpated. Our genetic results allow us to identify at least six grey seal management units across the species’ Atlantic range, but also highlights knowledge gaps that should be addressed in future research into this species.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".