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• W4366602015 abstract "Outside laboratory conditions and human-made structures, animals rarely encounter flat surfaces. Instead, natural substrates are uneven surfaces with height variation that ranges from the microscopic scale to the macroscopic scale. For walking animals (which we define as encompassing any form of legged movement across the ground, such as walking, running, galloping, etc.), such substrate 'roughness' influences locomotion in a multitude of ways across scales, from roughness that influences how each toe or foot contacts the ground, to larger obstacles that animals must move over or navigate around. Historically, the unpredictability and variability of natural environments has limited the ability to collect data on animal walking biomechanics. However, recent technical advances, such as more sensitive and portable cameras, biologgers, laboratory tools to fabricate rough terrain, as well as the ability to efficiently store and analyze large variable datasets, have expanded the opportunity to study how animals move under naturalistic conditions. As more researchers endeavor to assess walking over rough terrain, we lack a consistent approach to quantifying roughness and contextualizing these findings. This Review summarizes existing literature that examines non-human animals walking on rough terrain and presents a metric for characterizing the relative substrate roughness compared with animal size. This framework can be applied across terrain and body scales, facilitating direct comparisons of walking over rough surfaces in animals ranging in size from ants to elephants." @default.
• W4366602015 created "2023-04-23" @default.
• W4366602015 creator A5004789443 @default.
• W4366602015 creator A5034529120 @default.
• W4366602015 creator A5051486652 @default.
• W4366602015 creator A5071909545 @default.
• W4366602015 date "2023-04-21" @default.
• W4366602015 modified "2023-10-16" @default.
• W4366602015 title "The bumpy road ahead: the role of substrate roughness on animal walking and a proposed comparative metric" @default.
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