Effects of population size reduction on genetic variability of reintroduced southern flying squirrels
Bibliographic record
Abstract
Demographic bottlenecks, or reductions in population size, are predicted to result in loss of genetic variability. However, the genetic consequences of demographic bottlenecks, such as those that may occur during translocations, are poorly studied in nature. I used four microsatellite and one mitochondrial DNA marker to test whether a genetic bottleneck has occurred in a population of southern flying squirrels, 'Glaucomys volans', that were reintroduced to Point Pelee National Park (PPNP), Ontario, in 1993/94. The established population was compared to its source population in Haldimand-Norfolk (HN). Population size in 2001 in PPNP was estimated to be 591 (575-638) individuals; a six-fold increase from 99 founders over seven years. No signatures of a genetic bottleneck were identified. These findings do not support conventional wisdom in conservation genetics that population bottlenecks result in the loss of genetic variability. Long-term genetic and demographic monitoring of translocated populations may clarify the role of genetic variability in population viability.
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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 | 0.001 |
| 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 | 0.000 | 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".