Environmental factors determining the survival of winter ticks (Dermacentor albipictus) at different life stages in Québec, Canada
Bibliographic record
Abstract
Ticks are responsible for large economic losses because of their impact on livestock and wildlife. In recent years, winter ticks (Dermacentor albipictus) have caused mass mortalities in moose (alces) populations of North America, leading to host mortality due to severe blood loss. During their off-host stages (i.e. egg and larvae), winter ticks are particularly vulnerable to mortality because of potential exposure to stressful abiotic conditions that could dehydrate eggs or freeze larvae. We conducted a field experiment in Québec, Canada, to better understand larval questing behaviour and assess the ability of unfed larvae to survive over the winter to the following fall. In the laboratory, we tested the tolerance of eggs to different saturation deficits reflected by combinations of temperature and humidity and evaluated the tolerance of larvae to sub-freezing temperatures. We found that unfed winter tick larvae did not survive until a second fall regardless of habitat types (open, closed or sheltered from the snow) and thus could not quest for a host for two consecutive years. However, unfed larvae withstood short-term exposure to low sub-freezing temperatures, potentially prolonging their questing period and increasing the likelihood of moose infestations. Egg survival varied among saturation deficits, but survival tended to be higher at 30 °C and lower at 22 °C regardless of the saturation deficit. Overall, we found that the free stages of winter ticks are highly tolerant of extreme conditions, reinforcing the concern that winter ticks represent for moose populations.
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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) | 0.001 | 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 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".