Daily, seasonal, and annual variations in individual home-range overlap of two sympatric species of deer
Bibliographic record
Abstract
Behavioural tactics of animals are determined by both environmental and social factors. Among nonmigratory ungulates, most home-range studies focused either on the effect of environmental variables on home-range size or on the overlap between home ranges of different individuals. Here, as rarely in previous studies, we aim to identify the dynamics of the home range of a given individual, involving variation in home-range size and home-range overlap between periods, for two resident populations of contrasting species: red deer (Cervus elaphus L., 1758) and roe deer (Capreolus capreolus (L., 1758)). In both species, yearly and seasonal home-range fidelity was high and constant (mean of 64% in red deer and mean of 66% in roe deer), possibly because of benefits accruing from knowledge of spatial distribution of food resources and refugia. Home range in winter, when food availability was low, was larger than other seasonal home ranges for both species. Differences in body size between red deer and roe deer accounted for observed between-species differences in space use, especially when the species were active at night. Our study clearly demonstrates that patterns of variation in home-range size are similar; however, between-species differences in body size lead to differential patterns of home-range size and fidelity.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".