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Patterns of Song across Natural and Anthropogenic Soundscapes Suggest That White-Crowned Sparrows Minimize Acoustic Masking and Maximize Signal Content

机译:跨越自然和人为声景的歌曲模式表明白冠麻雀可最大程度地减少声学掩蔽并最大化信号含量

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摘要

Soundscapes pose both evolutionarily recent and long-standing sources of selection on acoustic communication. We currently know more about the impact of evolutionarily recent human-generated noise on communication than we do about how natural sounds such as pounding surf have shaped communication signals over evolutionary time. Based on signal detection theory, we hypothesized that acoustic phenotypes will vary with both anthropogenic and natural background noise levels and that similar mechanisms of cultural evolution and/or behavioral flexibility may underlie this variation. We studied song characteristics of white-crowned sparrows (Zonotrichia leucophrys nuttalli) across a noise gradient that includes both anthropogenic and natural sources of noise in San Francisco and Marin counties, California, USA. Both anthropogenic and natural soundscapes contain high amplitude low frequency noise (traffic or surf, respectively), so we predicted that birds would produce songs with higher minimum frequencies in areas with higher amplitude background noise to avoid auditory masking. We also anticipated that song minimum frequencies would be higher than the projected lower frequency limit of hearing based on site-specific masking profiles. Background noise was a strong predictor of song minimum frequency, both within a local noise gradient of three urban sites with the same song dialect and cultural evolutionary history, and across the regional noise gradient, which encompasses 11 urban and rural sites, several dialects, and several anthropogenic and natural sources of noise. Among rural sites alone, background noise tended to predict song minimum frequency, indicating that urban sites were not solely responsible for driving the regional pattern. These findings support the hypothesis that songs vary with local and regional soundscapes regardless of the source of noise. Song minimum frequency from five core study sites was also higher than the lower frequency limit of hearing at each site, further supporting the hypothesis that songs vary to transmit through noise in local soundscapes. Minimum frequencies leveled off at noisier sites, suggesting that minimum frequencies are constrained to an upper limit, possibly to retain the information content of wider bandwidths. We found evidence that site noise was a better predictor of song minimum frequency than territory noise in both anthropogenic and natural soundscapes, suggesting that cultural evolution rather than immediate behavioral flexibility is responsible for local song variation. Taken together, these results indicate that soundscapes shape song phenotype across both evolutionarily recent and long-standing soundscapes.
机译:音景既构成了进化上的最新发展,又构成了长期以来对声音传播的选择源。目前,我们对人类进化产生的噪声对通信的影响的了解要多于对撞击之类的自然声音如何在进化时间内影响通信信号的了解。基于信号检测理论,我们假设声学表型会随着人为和自然背景噪声水平的变化而变化,并且这种变化可能是文化进化和/或行为灵活性的类似机制。我们在美国加利福尼亚州旧金山市和马林县的噪声梯度范围内研究了白冠麻雀(Zonotrichia leucophrys nuttalli)的歌曲特征,包括人为噪声和自然噪声。人为和自然声景都包含高振幅的低频噪声(分别为交通噪声或冲浪噪声),因此我们预测鸟类会在具有较高振幅背景噪声的区域中产生具有较高最小频率的歌曲,以避免听觉掩盖。我们还预计,基于特定于站点的屏蔽配置文件,歌曲的最低频率将高于预计的较低听觉频率限制。背景噪声是歌曲最低频率的有力预测指标,无论是在具有相同歌曲方言和文化演变历史的三个城市地点的本地噪声梯度内,还是在涵盖11个城市和农村地点,几种方言以及几种人为和自然噪声源。仅在农村站点中,背景噪声就趋向于预测歌曲的最低频率,这表明城市站点并非仅是驱动区域格局的原因。这些发现支持这样的假设:无论噪声源如何,歌曲都会随本地和区域的声景而变化。来自五个核心研究站点的歌曲最低频率也高于每个站点的听力下限,进一步支持了这样的假设,即歌曲会通过局部声景中的噪声传播。最低频率在嘈杂的站点上趋于平稳,这表明最低频率被限制为上限,可能会保留较宽带宽的信息内容。我们发现有证据表明,在人为和自然声景中,现场噪声是歌曲最低频率的较好预测指标,而不是地区噪声,这表明本地歌曲的变异是文化演变而不是直接的行为灵活性。综上所述,这些结果表明,音景在整个进化的近期音像和长期音像中都影响着歌曲的表型。

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