Personality-dependent spatial ecology occurs independently from dispersal in wild burbot (Lota lota)
Why this work is in the frame
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Bibliographic record
Abstract
Although personality has been documented in numerous animals and characters, research into personality-dependent spatial ecology has focused on dispersal. Indeed, few authors have investigated the role of other important spatial traits such as home range, movement distance, vertical activity, and site fidelity, and it is not clear whether these behaviors are correlated with dispersal. In this study, we investigated individual differences in home range, dispersal from release, vertical activity, movement distance, and site fidelity of 44 wild burbot Lota lota over 2 years, using an acoustic telemetry array and a Bayesian mixed modeling framework. We tested whether the spatial behaviors met the following criteria for personality-dependent behavior: repeatability, cross-contextual consistency, and an absence of pseudo-repeatability associated with spatial context choice. We then tested for between-individual correlations among spatial behaviors, indicative of a behavioral syndrome. Our results documented repeatable, cross-contextually consistent, personality-dependent home range, movement, dispersal from release, and site fidelity. In contrast, behavioral differences in vertical activity were inconsistent across sampling years and may have been a product of habitat heterogeneity. Our data indicate a spatial behavioral syndrome occurred independently from dispersal from release, with behavioral types ranging from “resident” individuals with small home ranges, high site fidelity, and minimal movement to “mobile” individuals with large home ranges, high movement rates, and little site fidelity. Our findings suggest animal personality can play a key role in shaping the space use of individuals, and this diversity in spatial behaviors may be too complex to be captured by often used simple linear measures of dispersal.
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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 | 0.000 | 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) | 0.002 | 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