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Analysis and interpretation of variability in soundscapes along an urban-rural gradient

机译:沿城乡梯度的声景变异性分析与解释

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Urbanization has not only altered land cover types, but also changed acoustic environments to which animals must adapt or emigrate for effective communication. Although many studies have addressed the effects of urban noise on acoustic communication of vocal organisms, little work has been done to understand the acoustic characteristics and the interaction between biological and anthropogenic sounds across urban-rural landscapes. The objectives of this study were to investigate the spatial and temporal patterns of soundscape characteristics along an urban-rural gradient, and how soundscape properties are related to avian species community. We established 17 locations across the city of Lansing, Michigan from February to December 2006 to record environmental sounds. A multilevel regression model (MLRM) was used to understand the variability of acoustic power of biological and anthropogenic sounds (biophony and anthrophony) with temporal and spatial data structures. Canonical Correspondence Analysis (CCA) was employed to investigate how bird species respond along an environmental gradient. We found that soundscape characteristics were associated with the structure and composition of urban-rural landscapes. Biophony was inversely correlated with anthrophony along an urban-rural gradient. The results of the MLRM showed that the acoustic variability of biophony and anthrophony were associated with landscape attributes. The CCA revealed that the distribution of bird species was significantly related to the percent area of different land cover types. The study suggests that recording acoustic characteristics in urban systems can offer opportunities to not only measure ambient noise levels, but also understand how each component of soundscape is related to another
机译:城市化不仅改变了土地覆盖的类型,而且改变了动物必须适应或迁移以适应有效交流的声学环境。尽管许多研究已经解决了城市噪声对声乐生物声通信的影响,但是在了解整个城乡景观的声学特性以及生物和人为声音之间的相互作用方面所做的工作很少。这项研究的目的是调查沿城乡梯度变化的声景特征的时空格局,以及声景特性如何与鸟类物种群落相关。从2006年2月到2006年12月,我们在密歇根州兰辛市建立了17个地点,以记录环境声音。多级回归模型(MLRM)用于了解具有时空数据结构的生物和人为声音(生物和人为声音)的声功率的变异性。使用标准对应分析(CCA)来研究鸟类如何沿环境梯度响应。我们发现声景特征与城乡景观的结构和组成有关。沿城市-乡村的梯度,生物音色与人类风度成反比。 MLRM的结果表明,生物音和人声的声学变化与景观属性有关。 CCA揭示鸟类的分布与不同土地覆盖类型的面积百分比显着相关。研究表明,记录城市系统中的声学特征不仅可以提供测量环境噪声水平的机会,而且还可以了解声景的每个组成部分如何与另一个相关联

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