Anuran communities increase aggregations of conspecific calls in response to aircraft noise

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.

Authors

Institutions

Publication Details

Journal
Current Zoology
Published
2024-08-16
DOI
https://doi.org/10.1093/cz/zoae042
Citations
1
Primary Topic
Animal Vocal Communication and Behavior
Type
article
Field-Weighted Citation Impact
0.51

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Anuran communities increase aggregations of conspecific calls in response to aircraft noise

Longhui Zhao, Ke Deng, Tongliang Wang, Jichao Wang et al.
1 citations
Current Zoology
Animal Vocal Communication and Behavior
0.51
article

Anuran communities increase aggregations of conspecific calls in response to aircraft noise

Longhui Zhao, Ke Deng, Tongliang Wang, Jichao Wang, Jianguo Cui, Rui Guo
article en
1 citations

Abstract

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.

Current ZoologyVol. 71(2)
Hainan Normal University (CN), Chinese Academy of Sciences (CN), Chengdu Institute of Biology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hainan Province
Life in Land
Openalex Percentile: Top 31%
Animal Vocal Communication and Behavior
0.51
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.