Zhao Longhui, Deng Ke, Wang Tongliang, Guo Rui, Cui Jianguo, Wang Jichao
Ministry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life Sciences, Hainan Normal University, Haikou 571158, China.
CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China.
Curr Zool. 2024 Aug 16;71(2):223-232. doi: 10.1093/cz/zoae042. eCollection 2025 Apr.
Noise pollution has been shown to affect wild animals in various ways, but little is known about its consequences at the community level. Investigating animals' overall vocal responses to noise across multiple sympatric species can reveal the complex nature of noise impacts but is challenging. In this study, we employed social network analysis (SNA) to evaluate how anuran communities and populations vary their calling behaviors in response to aircraft noise. SNA of anuran communities revealed that conspecific individuals increase the aggregation of their spectral (i.e., minimum frequency, maximum frequency, and dominant frequency), temporal (call duration, call rate, and call effort), and overall spectral-temporal features as an airplane passes through. SNA of populations also revealed that anurans could increase the interindividual similarity of multiple call characteristics in response to airplane noise. Furthermore, our network analysis of multiple species and multiple call traits revealed an effect of noise in species whose calling behavior did not change in previous separate analyses of each species and single traits. This study suggests that noise pollution may change the pattern of combined acoustic properties at the community level. Our findings highlight the importance of integrated methods and theories for understanding the ecological consequences of noise pollution in future studies.
噪声污染已被证明会以多种方式影响野生动物,但在群落层面其后果却鲜为人知。研究动物对噪声的整体发声反应,跨越多个同域物种,能够揭示噪声影响的复杂本质,但颇具挑战性。在本研究中,我们采用社会网络分析(SNA)来评估无尾目动物群落和种群如何根据飞机噪声改变其鸣叫行为。对无尾目动物群落的社会网络分析表明,当飞机飞过的时候,同种个体增加了它们在频谱(即最低频率、最高频率和主频)、时间(鸣叫持续时间、鸣叫速率和鸣叫努力程度)以及整体频谱-时间特征方面的聚集。对种群的社会网络分析还表明,无尾目动物能够根据飞机噪声增加多个鸣叫特征的个体间相似性。此外,我们对多个物种和多个鸣叫特征的网络分析揭示了噪声对某些物种的影响,而在之前对每个物种和单一特征的单独分析中,这些物种的鸣叫行为并没有变化。本研究表明,噪声污染可能会在群落层面改变组合声学特性的模式。我们的研究结果凸显了综合方法和理论在未来研究中对于理解噪声污染生态后果的重要性。