Estimating habitat characteristics associated with the abundance of free-roaming domestic cats across the annual cycle
Bibliographic record
Abstract
Context Domestic cats (Felis catus) hold an important place in human society but can negatively impact ecosystems when roaming freely outdoors. Aims Specific research goals included identifying factors associated with cat abundance over the year. Methods We deployed trail cameras in Wellington County, Ontario, Canada to estimate what habitat characteristics were associated with cats in the spring/summer and the fall/winter. Within a subset of our study area, we also compared these findings to a previous study that used walking surveys. Key results In the spring/summer, cat abundance was positively related to proximity to buildings and negatively related to distance to agriculture. In the fall/winter, cat abundance was negatively related to the presence of coyotes (Canis latrans) and positively related to proximity to major roads. Overall, cat abundance was higher in urban than rural locations, and higher in spring/summer compared to fall/winter. Both our results from trail cameras and walking surveys from a previous study identified that median income, woodlots, and major roads were important habitat characteristics associated with cats during the summer, and we discuss the costs and benefits associated with both approaches. Conclusions Free-roaming cats are associated with different habitat characteristics in spring/summer versus fall/winter and vary in abundance across landscape type and season. Implications The development of management strategies aimed at reducing free-roaming cats in temperate areas should incorporate seasonal and landscape patterns.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".