five

Micro-personality traits and their implications for behavioural and movement ecology research

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DataCite Commons2025-05-01 更新2025-05-10 收录
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https://datadryad.org/dataset/doi:10.5061/dryad.tmpg4f4xp
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Many animal personality traits have implicit movement‐based definitions, and can directly or indirectly influence ecological and evolutionary processes. It has therefore been proposed that animal movement studies could benefit from acknowledging and studying consistent inter-individual differences (personality), and, conversely, animal personality studies could adopt a more quantitative representation of movement patterns. Using high-resolution tracking data of three-spined stickleback fish (Gasterosteus aculeatus), we examined the repeatability of four movement parameters commonly used in the analysis of discrete time-series movement data (time stationary, step-length, turning angle, burst frequency), and four behavioural parameters commonly used in animal personality studies (distance travelled, space use, time in free water, time near objects). Fish showed repeatable inter-individual differences in both movement and behavioural parameters when observed in a simple environment with two, three, or five shelters present. Moreover, individuals that spend less time stationary, take more direct paths and less commonly burst travel (movement parameters), were found to travel farther, explored more of the tank, and spent more time in open water (behavioural parameters). Our case-study indicates that the two approaches – quantifying movement and behavioural parameters – are broadly equivalent, and we suggest that movement parameters can be viewed as “micro-personality” traits that give rise to broad-scale consistent inter-individual differences in behaviour. This finding has implications for both personality and movement ecology research areas. For example, the study of movement parameters may provide a robust way to analyse individual personalities in species that are difficult or impossible to study using standardised behavioural assays.
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Dryad
创建时间:
2021-01-25
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