The effect of stress level and parasite load on the movement pattern of the white-footed mouse within a fragmented landscape
Why this work is in the frame
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Bibliographic record
Abstract
Lyme disease is an infectious zoonotic disease caused by the spirochete bacterium Borrelia burgdorferi sensu lato. In North America, it has a number of vertebrate hosts including the white-footed mouse (Peromyscus leucopus). The disease is transmitted to other vertebrates, including humans, through the bite of an infected blackâlegged tick (Ixodes scapularis). In recent years there has been an increase in the incidence of Borrelia burgdorferi in southern Quebec, coinciding with the range expansion of the white-footed mouse and the black-legged tick in the region. This increasing distribution of reservoir and vector will undoubtedly favour the emergence and spread of Lyme disease in the parts of the province where they both become more abundant. As a generalist species, the white-footed mouse is favoured in fragmented landscapes like the Monteregie area, where it has been displacing the deer mouse (Peromyscus maniculatus), its local competitor. In this region we evaluated the effects of stress level, parasite load and some forest patch characteristics on white-footed mouse movement patterns. We found a negative effect of the adrenal gland size, a proxy for stress level, on the home range area and the movement rate of mouse individuals, suggesting that stressed mice cannot defend large home ranges. White-footed mouse population densities had a negative effect on the home range area and on the movement rate, consistent with higher competition rates and conflict avoidance behaviours in these sites. Population density also influenced the excursion (outside the forest patch) and exploration (outside the home range) rates, either directly or indirectly through its effect on home range area and movement rate. Finally, we found that the load of ticks had a negative effect on movement rate. P. leucopus densities and stress levels are good predictors of the movement patterns in this species and can be used to better understand its dispersal dynamics at the front of its distribution range. This will contribute to better predict the rate and pattern of Lyme disease expansion and identify high-risk areas for the disease.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it