Population structure in harbour porpoises (Phocoena phocoena) of British Columbia and widespread hybridization in cetaceans
Bibliographic record
Abstract
Harbour porpoises (Phocoena phocoena) are one of the most abundant small cetaceans in the world and, while they are extensively studied across most of their range, little is known about their biology in British Columbia, Canada. Recent management plans have identified a need to better understand the population structure of harbour porpoises in this region. I investigated the genetic population structure of harbour porpoises in British Columbia using mitochondrial DNA (mtDNA) and eight microsatellite loci. My findings are consistent with a single population of harbour porpoises inhabiting the coastline between Haida G’waii and the southern Juan de Fuca Strait. I also confirmed that hybridization between harbour porpoises and Dall’s porpoises (Phocoenoides dalli) has occurred over a larger geographic region than previously known and I present evidence that the resultant hybrids are reproductively viable and have the potential to successfully backcross with both parental species. Building on these findings, I examined patterns of hybridization across the order Cetacea. I found that species pairs that share a greater number of ecological, morphological, and behavioural traits have a higher propensity to hybridize than species pairs that do not. This trend is largely driven by behavioural and morphological traits such as vocalization frequency and body size. My study aids in understanding harbour porpoise population structure in British Columbia, and highlights the occurrence of widespread cetacean hybridization.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".