首页> 外文期刊>Insectes Sociaux: Bulletin de l'Union Internationale pour l'Etude des Insectes Sociaux >The effect of ground surface rugosity on ant running speed is species-specific rather than size dependent
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The effect of ground surface rugosity on ant running speed is species-specific rather than size dependent

机译:地面粗糙度对蚂蚁运行速度的影响是特定的,而不是尺寸依赖性

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摘要

Foraging is one of the main reasons for ants to walk. Foraging speed is mainly dependent on morphological traits, but also on the surface structure. The size-grain hypothesis (SGH) suggests that (1) relative leg length should increase allometrically with body size, and (2) smaller, shorter legged species have an advantage with increasing habitat complexity in comparison to larger and longer legged species. In general, it is thought that leg length is a good predictor for running speed. We performed morphological analyses and running experiments with differently sized ant species along an artificial gradient of surface rugosity. We measured running speed, number of steps, body size and leg length to answer the question, if morphological traits can be used to predict the running speed of ants in complex habitats, as predicted by the SGH. We found that (1) leg length increased allometrically with body size, and that (2) the largest species were among the fastest and could sustain their speed with increasing surface rugosity. The smallest species with the relatively shortest legs were the fastest on the flattest surface, but their speed decreased rapidly with increasing rugosity. Leg length was not a good predictor for running speed. Similar-sized species responded idiosyncratically to high surface rugosity, which might be related to species-specific habitat preferences. Species-specific behavior or stride frequency influenced running speed strongly, which hampers precise predictions on their running speed, based on morphological traits exclusively.
机译:觅食是蚂蚁走路的主要原因之一。觅食速度主要取决于形态学性状,而且依赖于形态学性状,也依赖于表面结构。尺寸晶粒假设(SGH)表明(1)相对腿长应与体尺寸的大小增加,(2)更小,较短的腿部物种与较大和更长的腿部的栖息地复杂性增加了含量复杂性。一般来说,认为腿长是运行速度的良好预测因子。我们沿着表面粗糙度的人工梯度对不同大小的蚁群进行了形态学分析和运行实验。我们测量运行速度,步数,体尺寸和腿长以回答问题,如果形态学特性可用于预测复杂栖息地的蚂蚁的运行速度,如SGH所预测的。我们发现(1)腿部长度随体积大小增加,而且(2)最大的物种是最快的,并且可以随着表面粗糙度的增加而维持其速度。具有相对较短的腿的最小物种是最快的表面上最快的最快,但它们的速度随着粗糙的增加而迅速下降。腿长不是运行速度的良好预测因子。类似大小的物种对高表面粗糙度的致力于特异性,这可能与特定于物种的栖息地偏好有关。物种特异性行为或步伐频率强烈影响运行速度,基于专门的形态特性,妨碍了它们的运行速度的精确预测。

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