Comparative effects of urban development and anthropogenic noise on bird songs

Dowling, Jenélle L.; Luther, David; Marra, Peter P.

doi:10.1093/beheco/arr176

Cited by 108 publications

(82 citation statements)

References 36 publications

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“…Some ornithologists considering biophony-anthrophony interactions have conducted interesting studies, mostly examining impacts of anthropogenic noise. For example, several studies have demonstrated that birds can modify the frequency and amplitude of their signals, shift their daily temporal activity patterns, and move to different locations in the landscape to avoid the potential masking effects of anthropogenic sound (Brumm and Slabbekoorn 2005, Francis et al 2011, Dowling et al 2012). …”

Section: Principles Of Soundscape Ecology Related To Avian Ecology Ementioning

confidence: 99%

Comparisons Between Autonomous Acoustic Recordings and Avian Point Counts in Open Woodland Savanna

Alquezar¹,

Machado²

2015

The Wilson Journal of Ornithology

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Section: Principles Of Soundscape Ecology Related To Avian Ecology Ementioning

confidence: 99%

Comparisons Between Autonomous Acoustic Recordings and Avian Point Counts in Open Woodland Savanna

Alquezar¹,

Machado²

2015

The Wilson Journal of Ornithology

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“…This includes a clear potential for both measuring the acoustic components of biodiversity and anthropogenic noise (e.g. Botteldooren et al 2006;Dowling et al 2011), and for monitoring populations and vocal behavior of individual species (e.g. Kacelnik and Krebs 1983).…”

Section: Discussionmentioning

confidence: 99%

“…The extent to which these niches are shaped by convergent selection for signal efficiency in a noisy environment, or divergent selection into comfortably partitioned niches, remains a point of debate for many taxa (Sueur 2002;Tobias et al 2014). Increasingly, animals must now also compete for acoustic space with humans (Dowling et al 2011) and the species humans have introduced (Both and Grant 2012). This has the potential to disrupt the reproductive success of species that rely on acoustic signals to attract mates, defend resources, or coordinate behavior-particularly as signals may be altered to avoid overlap in ways that decrease their efficiency or effectiveness (Both and Grant 2012).…”

Section: Introductionmentioning

confidence: 99%

Listening to ecosystems: data‐rich acoustic monitoring through landscape‐scale sensor networks

Ross

Friedman

Dudley

et al. 2017

Ecological Research

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Ecologists have many ways to measure and monitor ecosystems, each of which can reveal details about the processes unfolding therein. Acoustic recording combined with machine learning methods for species detection can provide remote, automated monitoring of species richness and relative abundance. Such recordings also open a window into how species behave and compete for niche space in the sensory environment. These opportunities are associated with new challenges: the volume and velocity of such data require new approaches to species identification and visualization. Here we introduce a newly-initiated acoustic monitoring network across the subtropical island of Okinawa, Japan, as part of the broader OKEON (Okinawa Environmental Observation Network) project. Our aim is to monitor the acoustic environment of Okinawa's ecosystems and use these space-time data to better understand ecosystem dynamics. We present a pilot study based on recordings from five field sites conducted over a one-month period in the summer. Our results provide a proof of concept for automated species identification on Okinawa, and reveal patterns of biogenic vs. anthropogenic noise across the landscape. In particular, we found correlations between forest land cover and detection rates of two culturally important species in the island soundscape: the Okinawa Rail and Ruddy Kingfisher. Among the soundscape indices we examined, NDSI, Acoustic Diversity and the Bioacoustic Index showed both diurnal patterns and differences among sites. Our results highlight the potential utility of remote acoustic monitoring practices that, in combination with other methods can provide a holistic picture of biodiversity. We intend this project as an open resource, and wish to extend an invitation to researchers interested in scientific collaboration.

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“…Another study of six different American songbird species also found that the effects of urban noise on song were mixed (Dowling et al, 2011). Minimum song frequency increased with noise level for two species, with those species singing in lower frequencies being most affected.…”

Section: Noise Effects Are Not Always Negative!mentioning

confidence: 95%