A Remarkable Specimen Record of an Apparently Wild Gray Wolf (Canis lupus) from Upstate New York
Bibliographic record
Abstract
Canis lupus, sensu lato (Gray Wolf, including Eastern Wolf, collectively “Wolves”) was extirpated from the eastern United States by the end of the 19th century, but lone individuals have occasionally dispersed far from remnant breeding populations in forested areas of Canada north and east of the Great Lakes in Ontario and Quebec. Identification of Wolves outside of core breeding areas in eastern North America is complicated by the history of hybridization and back-crossing with Canis latrans (Coyote), which expanded out of mid-western North America in the early–mid-20th century. The species-level taxonomic uncertainty that results from this history of introgression among canid lineages is an ongoing challenge for government agencies and conservation organizations tasked with protecting Wolves. We summarize the known specimen records of Wolves taken south of the St. Lawrence River, and report morphological, genetic, and stable-isotope analyses of a Wolf shot by a hunter in Otsego County, NY, in December 2021. Skull measurements and the mass of this individual place it well above the body sizes observed in a sample of eastern Coyotes with high levels of Wolf ancestry. Principal component analysis and supervised clustering based on 31,522 SNP loci across the genomes of 435 canids (Wolves, Coyotes and Canis lupus familiaris [Domestic Dog]) placed the new specimen among Gray Wolves sampled from the western Great Lakes region, and found that it had an exceedingly high assignment probability (Q = 0.999) to the Great Lakes Gray Wolf genetic cluster. Stable carbon isotopes measured from hair, tooth, and bone samples indicate that the canid subsisted on a diet of wild foods at all stages of its life. Our analyses add to the growing body of evidence of wild Wolves occasionally dispersing long distances from core breeding areas to localities east of the Great Lakes and south of the St. Lawrence River.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".