Exploring the accuracy of palaeobiological modelling procedures in forward-dynamics simulations of maximum-effort vertical jumping

The body fossil record cannot preserve the dynamics of animal locomotion, and the only way to systematically reconstruct it is through simulation. However, musculoskeletal models used in simulation studies are typically simplified, meaning that their efficacy must first be demonstrated on living ani...

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Main Authors: Samuel R. R. Cross, James P. Charles, William I. Sellers, Jonathan R. Codd, Karl T. Bates
Format: Article
Language:English
Published: The Royal Society 2025-05-01
Series:Royal Society Open Science
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Online Access:https://royalsocietypublishing.org/doi/10.1098/rsos.242109
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author Samuel R. R. Cross
James P. Charles
William I. Sellers
Jonathan R. Codd
Karl T. Bates
author_facet Samuel R. R. Cross
James P. Charles
William I. Sellers
Jonathan R. Codd
Karl T. Bates
author_sort Samuel R. R. Cross
collection DOAJ
description The body fossil record cannot preserve the dynamics of animal locomotion, and the only way to systematically reconstruct it is through simulation. However, musculoskeletal models used in simulation studies are typically simplified, meaning that their efficacy must first be demonstrated on living animals. Here, we evaluate a workflow for forward-dynamics simulations of maximum-effort vertical jumping, using simplified human and guineafowl models built with muscle masses from either measured data or estimated with methods previously applied to fossils. Predicted human performance was approximately 10% below experimental averages when known muscle masses were used, while the error ranged between +3 and −10% with palaeobiological methods. The simulations also correctly replicated the kinematic strategies (countermovement or squat jump) used across different starting postures. In contrast, predicted guineafowl performance was around 50–60% experimental values, irrespective of reconstruction method. Guineafowl model underperformance likely reflects simplifications related to foot mobility, muscle activation speeds and muscle fibre lengths, with the latter potentially being adaptively important to exceptional avian jumping performance. These findings emphasize that current muscle reconstruction and simulation approaches are most suited for evolutionary analyses where broad changes in body morphology and posture may significantly impact vertical jumping through pronounced qualitative differences in kinematic strategy.
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spelling doaj-art-e13ced2cd8114e95a07769e02807ecd02025-08-20T02:32:53ZengThe Royal SocietyRoyal Society Open Science2054-57032025-05-0112510.1098/rsos.242109Exploring the accuracy of palaeobiological modelling procedures in forward-dynamics simulations of maximum-effort vertical jumpingSamuel R. R. Cross0James P. Charles1William I. Sellers2Jonathan R. Codd3Karl T. Bates4Institute of Life course and Medical Sciences, University of Liverpool, Liverpool, UKInstitute of Life course and Medical Sciences, University of Liverpool, Liverpool, UKSchool of Earth and Environmental Sciences, University of Manchester, Manchester, UKFaculty of Biology, Medicine & Health, University of Manchester, Manchester, UKInstitute of Life course and Medical Sciences, University of Liverpool, Liverpool, UKThe body fossil record cannot preserve the dynamics of animal locomotion, and the only way to systematically reconstruct it is through simulation. However, musculoskeletal models used in simulation studies are typically simplified, meaning that their efficacy must first be demonstrated on living animals. Here, we evaluate a workflow for forward-dynamics simulations of maximum-effort vertical jumping, using simplified human and guineafowl models built with muscle masses from either measured data or estimated with methods previously applied to fossils. Predicted human performance was approximately 10% below experimental averages when known muscle masses were used, while the error ranged between +3 and −10% with palaeobiological methods. The simulations also correctly replicated the kinematic strategies (countermovement or squat jump) used across different starting postures. In contrast, predicted guineafowl performance was around 50–60% experimental values, irrespective of reconstruction method. Guineafowl model underperformance likely reflects simplifications related to foot mobility, muscle activation speeds and muscle fibre lengths, with the latter potentially being adaptively important to exceptional avian jumping performance. These findings emphasize that current muscle reconstruction and simulation approaches are most suited for evolutionary analyses where broad changes in body morphology and posture may significantly impact vertical jumping through pronounced qualitative differences in kinematic strategy.https://royalsocietypublishing.org/doi/10.1098/rsos.242109jumpingsimulationmultibody dynamicsmodel validationhumanbird
spellingShingle Samuel R. R. Cross
James P. Charles
William I. Sellers
Jonathan R. Codd
Karl T. Bates
Exploring the accuracy of palaeobiological modelling procedures in forward-dynamics simulations of maximum-effort vertical jumping
Royal Society Open Science
jumping
simulation
multibody dynamics
model validation
human
bird
title Exploring the accuracy of palaeobiological modelling procedures in forward-dynamics simulations of maximum-effort vertical jumping
title_full Exploring the accuracy of palaeobiological modelling procedures in forward-dynamics simulations of maximum-effort vertical jumping
title_fullStr Exploring the accuracy of palaeobiological modelling procedures in forward-dynamics simulations of maximum-effort vertical jumping
title_full_unstemmed Exploring the accuracy of palaeobiological modelling procedures in forward-dynamics simulations of maximum-effort vertical jumping
title_short Exploring the accuracy of palaeobiological modelling procedures in forward-dynamics simulations of maximum-effort vertical jumping
title_sort exploring the accuracy of palaeobiological modelling procedures in forward dynamics simulations of maximum effort vertical jumping
topic jumping
simulation
multibody dynamics
model validation
human
bird
url https://royalsocietypublishing.org/doi/10.1098/rsos.242109
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