Survival and antipredator behavior of woodchucks (<i>Marmota monax</i>) along an urban–agricultural gradient
Bibliographic record
Abstract
Understanding effects of urbanization on biodiversity requires integrated assessments of demographic and behavioral responses by species, including urban-adapter species. Past research on mammalian responses to urbanization has emphasized predators, but prey species could respond to additional factors including variation in predation risk. We examined spatial heterogeneity in real and perceived risk across an urbanization gradient by comparing survival rates, causes of mortality, and antipredator behavior of adult woodchucks ( Marmota monax (L., 1758)) within an agricultural landscape in Illinois from 2007 to 2009. Survival rates were higher, and effects of urbanization were stronger, during the inactive season. Rural woodchucks primarily died from predation or costs associated with hibernation, whereas urban woodchucks mainly died from vehicle collisions or unknown reasons. Mean levels of antipredator behavior were unrelated to urbanization, but among-individual variation in vigilance levels increased in urban areas, which may reflect increased spatial variation in disturbance levels within urban environments. Distances from burrows while foraging and flight initiation distances also were unrelated to urbanization, suggesting that urban woodchucks were not strongly habituated to humans. Our research provides insights into demographic and behavioral responses to urbanization, and constraints to responses, by an urban-adapter species.
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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 | 0.000 |
| 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 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".