Influence of patch- and landscape-level attributes on the movement behavior of raccoons in agriculturally fragmented landscapes
Bibliographic record
Abstract
We tested the hypotheses that movement rates and home range sizes of raccoons ( Procyon lotor (L., 1758)) inhabiting a highly fragmented landscape would vary in response to local and landscape-level habitat characteristics. Raccoons occupying small forest patches containing limited water sources maintained larger home ranges than raccoons with home ranges established in large forest patches containing abundant sources of water. Raccoons occupying large (>25 ha) forest patches exhibited minimal interindividual variance in home range size compared with raccoons monitored in patches <25 ha. This differing pattern of variance in home range size suggests that critical resources were more widely dispersed within and among small patches, forcing raccoons occupying smaller patches to utilize larger and more spatially disparate areas to satisfy their metabolic and reproductive needs. Movement rates of raccoons were positively related to home range size, although movement rates of males (246.9 m/h) exceeded those of females (188.3 m/h). Moreover, movements of male raccoons primarily were concentrated along forest–agriculture interfaces, whereas female movements were concentrated in forest interiors. Our results indicate that raccoons have modified their movement behavior in agricultural ecosystems in response to the discontinuous nature of resources and suggest that the extent of raccoon space use in these ecosystems is strongly influenced by the availability of non-agricultural resources.
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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) | 0.000 | 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".