Restoration of a bighorn sheep population impeded by <i>Mycoplasma ovipneumoniae</i> exposure
Bibliographic record
Abstract
Bighorn sheep ( Ovis canadensis ) were once extirpated from the Black Hills region of South Dakota, U.S.A., mirroring declining populations throughout North America. Since the 1960s, several reintroductions have occurred in the Black Hills to reestablish populations, with varying success. We translocated 26 bighorn sheep from Alberta, Canada, to the Black Hills (February 2015) to restore bighorn sheep to their historic range. Due to prior examinations of cause‐specific survival, subsequent genetic diversity and disease prevalence analyses were required to evaluate success of the restoration effort. We measured a mean allelic diversity of 5.23 (SE = 0.44 [mean number of alleles]) and an observed heterozygosity of 0.71 (SE = 0.06; expected = 0.64 ± 0.05) in the translocated individuals. Translocated bighorn sheep tested negative for Mycoplasma ovipneumoniae at capture. An autogenous vaccine was administered prior to release in an attempt to safeguard the translocated bighorn sheep from infection with a strain known to be resident in adjacent bighorn sheep populations. However, the year following the translocation, a different strain of M. ovipneumoniae was associated with a pneumonia outbreak that resulted in 57.9% mortality. Our results suggest that allelic diversity and heterozygosity were sufficient for long‐term herd establishment, reducing the potential for founder effects. However, the overwhelming mortality associated with pneumonia, via the transfer of M. ovipneumoniae from an unknown source, limited the success or our reintroduction efforts. Successful attempts to restore bighorn sheep to their historic ranges must consider and mitigate potential routes for M. ovipneumoniae transmission pre‐ and post‐reintroduction.
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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) | 0.002 | 0.001 |
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; both teacher heads agree on what is shown here.
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".