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

IF 2.9 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Royal Society Open Science Pub Date : 2025-05-21 eCollection Date: 2025-05-01 DOI:10.1098/rsos.242109
Samuel R R Cross, James P Charles, William I Sellers, Jonathan R Codd, Karl T Bates
{"title":"Exploring the accuracy of palaeobiological modelling procedures in forward-dynamics simulations of maximum-effort vertical jumping.","authors":"Samuel R R Cross, James P Charles, William I Sellers, Jonathan R Codd, Karl T Bates","doi":"10.1098/rsos.242109","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":21525,"journal":{"name":"Royal Society Open Science","volume":"12 5","pages":"242109"},"PeriodicalIF":2.9000,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12092134/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Royal Society Open Science","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1098/rsos.242109","RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/5/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

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.

探索古生物建模程序在最大努力垂直跳跃的前向动力学模拟中的准确性。
身体化石记录不能保存动物运动的动态,唯一系统地重建它的方法是通过模拟。然而,在模拟研究中使用的肌肉骨骼模型通常是简化的,这意味着它们的功效必须首先在活体动物上得到证明。在这里,我们评估了最大努力垂直跳跃的前向动力学模拟工作流程,使用简化的人类和珍珠鸡模型,该模型基于测量数据或先前应用于化石的方法估算的肌肉质量。当使用已知肌肉量时,预测的人类表现大约比实验平均水平低10%,而使用古生物学方法的误差范围在+3到-10%之间。模拟还正确地复制了在不同的开始姿势中使用的运动学策略(反向运动或蹲跳)。相比之下,无论采用何种重建方法,预测珍珠鸡的性能都在实验值的50-60%左右。珍珠鸡模型的不佳表现可能反映了足部移动性、肌肉激活速度和肌肉纤维长度的简化,后者可能对鸟类出色的跳跃表现具有适应性重要性。这些发现强调,目前的肌肉重建和模拟方法最适合于进化分析,在进化分析中,身体形态和姿势的广泛变化可能会通过运动策略的显著定性差异显著影响垂直跳跃。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Royal Society Open Science
Royal Society Open Science Multidisciplinary-Multidisciplinary
CiteScore
6.00
自引率
0.00%
发文量
508
审稿时长
14 weeks
期刊介绍: Royal Society Open Science is a new open journal publishing high-quality original research across the entire range of science on the basis of objective peer-review. The journal covers the entire range of science and mathematics and will allow the Society to publish all the high-quality work it receives without the usual restrictions on scope, length or impact.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信