Mármol-Guijarro A, Nudds R, Folkow L, Sellers W, Falkingham P, Codd J
School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Rd, Manchester M139PL, UK.
Department of Arctic and Marine Biology, University of Tromso, Hansine Hansens veg 18, Tromso, 9007, Norway.
Integr Org Biol. 2021 Aug 14;3(1):obab021. doi: 10.1093/iob/obab021. eCollection 2021.
Substrate supportiveness is linked to the metabolic cost of locomotion, as it influences the depth to which the foot of a moving animal will sink. As track depth increases, animals typically reduce their speed to minimize any potential energetic imbalance. Here, we examine how self-selected speed in the Svalbard rock ptarmigan is affected by snow supportiveness and subsequent footprint depth measured using thin-blade penetrometry and 3D photogrammetry, respectively. Our findings indicate that snow supportiveness and footprint depth are poor predictors of speed ( = 0.149) and stride length ( = 0.106). The ptarmigan in our study rarely sunk to depths beyond the intertarsal joint, regardless of the speed, suggesting that at this relatively shallow depth any increased cost is manageable. 3D reconstructions also indicate that the ptarmigan may exploit the compressive nature of snow to generate thrust during stance, as a trend toward greater foot rotations in deeper footprints was found. It remains unclear whether the Svalbard ptarmigan are deliberately avoiding unsupportive snowy substrates. However, if they do, these results would be consistent with the idea that animals should choose routes that minimize energy costs of locomotion.
底物支撑性与运动的代谢成本相关,因为它会影响运动中动物足部陷入的深度。随着足迹深度增加,动物通常会降低速度,以尽量减少任何潜在的能量失衡。在此,我们分别使用薄刃针入度仪和三维摄影测量法,研究了斯瓦尔巴德岩雷鸟的自选择速度如何受到积雪支撑性以及后续足迹深度的影响。我们的研究结果表明,积雪支撑性和足迹深度对速度(r = 0.149)和步长(r = 0.106)的预测能力较差。在我们的研究中,无论速度如何,岩雷鸟很少陷入超过跗关节的深度,这表明在这个相对较浅的深度,任何增加的成本都是可控的。三维重建还表明,岩雷鸟可能利用积雪的压缩特性在站立时产生推力,因为在更深的足迹中发现了更大的足部旋转趋势。目前尚不清楚斯瓦尔巴德岩雷鸟是否故意避开支撑性差的积雪底物。然而,如果它们这样做了,这些结果将与动物应选择使运动能量成本最小化的路线这一观点一致。