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      Estimating Gaits of an Ancient Crocodile-Line Archosaur Through Trajectory Optimization, With Comparison to Fossil Trackways

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          Abstract

          Fossil trackways provide a glimpse into the behavior of extinct animals. However, while providing information of the trackmaker size, stride, and even speed, the actual gait of the organism can be ambiguous. This is especially true of quadrupedal animals, where disparate gaits can have similar trackway patterns. Here, predictive simulation using trajectory optimization can help distinguish gaits used by trackmakers. First, we demonstrated that a planar, five-link quadrupedal biomechanical model can generate the qualitative trackway patterns made by domestic dogs, although a systematic error emerges in the track phase (relative distance between ipsilateral pes and manus prints). Next, we used trackway dimensions as inputs to a model of Batrachotomus kupferzellensis, a long-limbed, crocodile-line archosaur (clade Pseudosuchia) from the Middle Triassic of Germany. We found energetically optimal gaits and compared their predicted track phases to those of fossil trackways of Isochirotherium and Brachychirotherium. The optimal results agree with trackways at slow speeds but differ at faster speeds. However, all simulations point to a gait transition around a non-dimensional speed of 0.4 and another at 1.0. The trackways likewise exhibit stark differences in the track phase at these speeds. In all cases, including when simulations are constrained to the fossil track phase, the optimal simulations after the first gait transition do not correspond to a trot, as often used by living crocodiles. Instead, they are a diagonal sequence gait similar to the slow tölt of Icelandic horses. This is the first evidence that extinct pseudosuchians may have exhibited different gaits than their modern relatives and of a gait transition in an extinct pseudosuchian. The results of this analysis highlight areas where the models can be improved to generate more reliable predictions for fossil data while also showcasing how simple models can generate insights about the behavior of extinct animals.

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          SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization

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            Estimates of speeds of dinosaurs

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                Author and article information

                Contributors
                Journal
                Front Bioeng Biotechnol
                Front Bioeng Biotechnol
                Front. Bioeng. Biotechnol.
                Frontiers in Bioengineering and Biotechnology
                Frontiers Media S.A.
                2296-4185
                03 February 2022
                2021
                : 9
                : 800311
                Affiliations
                Structure and Motion Lab , Comparative Biomedical Sciences , Royal Veterinary College , Hatfield, United Kingdom
                Author notes

                Edited by: Bernardo Innocenti, Université libre de Bruxelles, Belgium

                Reviewed by: Eudald Mujal, Staatliches Museum für Naturkunde Stuttgart, Germany

                Shinya Aoi, Kyoto University, Japan

                *Correspondence: Delyle T. Polet, dpolet@ 123456rvc.ac.uk ; John R. Hutchinson, jhutchinson@ 123456rvc.ac.uk
                [ † ]

                ORCID: Delyle T. Polet, orcid.org/0000-0002-8299-3434; John R. Hutchinson, orcid.org/0000-0002-6767-7038

                This article was submitted to Biomechanics, a section of the journal Frontiers in Bioengineering and Biotechnology

                Article
                800311
                10.3389/fbioe.2021.800311
                8852800
                35186914
                4268b7c7-062c-49cb-8e9d-ee8664c94915
                Copyright © 2022 Polet and Hutchinson.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 22 October 2021
                : 30 December 2021
                Funding
                Funded by: European Research Council , doi 10.13039/501100000781;
                Award ID: 695517
                Categories
                Bioengineering and Biotechnology
                Original Research

                chirotheriidae,locomotion,predictive simulation,pseudosuchia,fossil trackways,energetics

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