Testing the factors on the evolution of movement-based visual signal complexity in an Asian agamid lizard

IF 1.9 2区 生物学 Q3 BEHAVIORAL SCIENCES Behavioral Ecology and Sociobiology Pub Date : 2023-12-11 DOI:10.1007/s00265-023-03412-9
Yusong Lin, Xia Qiu, Jinzhong Fu, Richard Peters, Yin Qi
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Abstract

Elucidating the factors that influence the evolution of signal complexity is essential in understanding animal communication. Compared to vocal and color signals, movement-based visual signals only start to attract attention recently. In this study, we tested the social complexity (social structure promotes signal complexity) and background noise hypotheses (background noise promotes signal complexity) on the evolution of movement-based visual signal complexity. We collected display signals from twelve populations across the distribution range of the Asian agamid lizard, Phrynocephalus przewalskii. Their various components (tail coil, tail lash, body turning, and limb flapping) were quantified. Furthermore, we measured the population density and sexual size dimorphism (SSD), as estimates of social complexity, and estimate background noise using presence of plant and wind speed. We tested associations between measurements of variability in individual signal components and the overall display with estimates of social complexity and background noise using linear mixed models. We found evidence to suggest that both SSD and the noise environment impact the delivery of multiple display components, particularly the duration and maximum speed of display components. Importantly, our findings suggest that social and environmental factors do not impact males and females equally. Our data are consistent with both social complexity and background noise hypotheses, and our research provides direct evidence on the links among display complexity, social complexity, and background noise.

Significance statement

The evolution of animal signal complexity has fascinated biologists for generations. We know much about vocal and color signals; nevertheless, movement-based visual signals only start to attract attention recently. Here we tested the factors influencing the evolution of display complexity using P. przewalskii as a study system, particularly around the social complexity (social structure promotes signal complexity) and background noise hypotheses (background noise promotes signal complexity). Our data are consistent with both social complexity and background noise hypotheses and provide direct evidence on the links among movement-based visual signal complexity, social complexity, and background noise.

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测试亚洲巨蜥基于运动的视觉信号复杂性的进化因素
摘要阐明影响信号复杂性进化的因素对于理解动物交流至关重要。与声音和颜色信号相比,基于运动的视觉信号直到最近才开始受到关注。在本研究中,我们检验了社会复杂性假说(社会结构促进信号复杂性)和背景噪声假说(背景噪声促进信号复杂性)对基于运动的视觉信号复杂性进化的影响。我们收集了亚洲巨蜥(Phrynocephalus przewalskii)分布范围内12个种群的显示信号。我们对这些信号的各个组成部分(卷尾、甩尾、转体和拍肢)进行了量化。此外,我们还测量了种群密度和性别大小二态性(SSD),作为社会复杂性的估计值,并利用植物的存在和风速来估计背景噪声。我们使用线性混合模型检验了单个信号成分和整体显示的变化测量值与社会复杂性和背景噪声估计值之间的关联。我们发现,有证据表明 SSD 和噪声环境都会影响多种显示成分的传递,尤其是显示成分的持续时间和最大速度。重要的是,我们的研究结果表明,社会和环境因素对男性和女性的影响并不相同。我们的数据与社会复杂性和背景噪声假说一致,我们的研究为显示复杂性、社会复杂性和背景噪声之间的联系提供了直接证据。我们对声音和颜色信号有很多了解;然而,基于运动的视觉信号直到最近才开始引起人们的注意。在这里,我们以 P. przewalskii 为研究对象,测试了影响显示复杂性进化的因素,特别是围绕社会复杂性假说(社会结构促进信号复杂性)和背景噪声假说(背景噪声促进信号复杂性)。我们的数据与社会复杂性假说和背景噪声假说一致,并为基于运动的视觉信号复杂性、社会复杂性和背景噪声之间的联系提供了直接证据。
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来源期刊
CiteScore
3.90
自引率
8.70%
发文量
146
审稿时长
3 months
期刊介绍: The journal publishes reviews, original contributions and commentaries dealing with quantitative empirical and theoretical studies in the analysis of animal behavior at the level of the individual, group, population, community, and species.
期刊最新文献
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