Examining the accuracy of trackways for predicting gait selection and speed of locomotion

Author:

Marmol-Guijarro Andres,Nudds Robert,Folkow Lars,Codd JonathanORCID

Abstract

Abstract Background Using Froude numbers (Fr) and relative stride length (stride length: hip height), trackways have been widely used to determine the speed and gait of an animal. This approach, however, is limited by the ability to estimate hip height accurately and by the lack of information related to the substrate properties when the tracks were made, in particular for extinct fauna. By studying the Svalbard ptarmigan moving on snow, we assessed the accuracy of trackway predictions from a species-specific model and two additional Fr based models by ground truthing data extracted from videos as the tracks were being made. Results The species-specific model accounted for more than 60% of the variability in speed for walking and aerial running, but only accounted for 19% when grounded running, likely due to its stabilizing role while moving faster over a changing substrate. The error in speed estimated was 0–35% for all gaits when using the species-specific model, whereas Fr based estimates produced errors up to 55%. The highest errors were associated with the walking gait. The transition between pendular to bouncing gaits fell close to the estimates using relative stride length described for other extant vertebrates. Conversely, the transition from grounded to aerial running appears to be species specific and highly dependent on posture and substrate. Conclusion Altogether, this study highlights that using trackways to derive predictions on the locomotor speed and gait, using stride length as the only predictor, are problematic as accurate predictions require information from the animal in question.

Funder

Biotechnology and Biological Sciences Research Council

Secretaría de Educación Superior, Ciencia, Tecnología e Innovación

Publisher

Springer Science and Business Media LLC

Subject

Animal Science and Zoology,Ecology, Evolution, Behavior and Systematics

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