Literature DB >> 24021398

Predicting the effect of urban noise on the active space of avian vocal signals.

Kirsten M Parris1, Michael A McCarthy.   

Abstract

Urbanization changes the physical environment of nonhuman species but also markedly changes their acoustic environment. Urban noise interferes with acoustic communication in a range of animals, including birds, with potentially profound impacts on fitness. However, a mechanistic theory to predict which species of birds will be most affected by urban noise is lacking. We develop a mathematical model to predict the decrease in the active space of avian vocal signals after moving from quiet forest habitats to noisy urban habitats. We find that the magnitude of the decrease is largely a function of signal frequency. However, this relationship is not monotonic. A metaregression of observed increases in the frequency of birdsong in urban noise supports the model's predictions for signals with frequencies between 1.5 and 4 kHz. Using results of the metaregression and the model described above, we show that the expected gain in active space following observed frequency shifts is up to 12% and greatest for birds with signals at the lower end of this frequency range. Our generally applicable model, along with three predictions regarding the behavioral and population-level responses of birds to urban noise, represents an important step toward a theory of acoustic communication in urban habitats.

Mesh:

Year:  2013        PMID: 24021398     DOI: 10.1086/671906

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  2 in total

1.  The comparative evidence for urban species sorting by anthropogenic noise.

Authors:  Gonçalo C Cardoso; Yang Hu; Clinton D Francis
Journal:  R Soc Open Sci       Date:  2018-02-21       Impact factor: 2.963

2.  Acoustic preadaptation to transmit vocal individuality of savanna nightjars in noisy urban environments.

Authors:  Shih-Hsiung Liang; Bruno Andreas Walther; Chia-Hung Jen; Chao-Chieh Chen; Yi-Chih Chen; Bao-Sen Shieh
Journal:  Sci Rep       Date:  2020-10-23       Impact factor: 4.379

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.