Population genetics and phylogeography of bobcats (Lynx rufus) using microsatellites and mitochondrial DNA
Bibliographic record
Abstract
Bobcats (Lynx rufus) are generalist carnivores with an expansive range from southern Canada to northern Mexico, in which 11 - 12 subspecies have been described. Since European settlement, bobcat habitat has become increasingly fragmented due to urbanization and development of agricultural land. Presently, there is little information on the genetic structure of bobcat populations at large spatial scales. Furthermore, it is unknown whether the current isolation of bobcat populations is a historic feature or whether recent landscape alterations have disrupted dispersal among previously connected populations. To address these questions, microsatellite and mitochondrial DNA data were used for relatedness measurements, spatial autocorrelation examinations, Bayesian assignment testing and sequence analysis of bobcats across their range. These analyses showed that, within southern Illinois, females were closely related to one another and males tended to disperse from their natal area. On a regional scale, microsatellite data revealed several distinct genetic groups within the midwest, notably eastern and western bobcat populations. In contrast, mitochondrial DNA analyses resolved little differentiation among bobcat populations, elucidating two-three phylogeographic groups. Taken together, these data reveal that bobcats have not historically, experienced large barriers to dispersal. Rather, recent habitat alterations may be disrupting dispersal over large scales. Genetically defined groups are potential conservation units and should be used for regional management of bobcats.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".