Sampling environmental acoustic recordings to determine bird species richness.
TLDR
In this article, the authors examined the use of sampling methods to reduce the cost of analyzing large volumes of acoustic sensor data, while retaining high levels of species detection accuracy, and found that randomly selecting 120 one-minute samples from the three hours immediately following dawn over five days of recordings, detected the highest number of species.Abstract:
Acoustic sensors can be used to estimate species richness for vocal species such as birds. They can continuously and passively record large volumes of data over extended periods. These data must subsequently be analyzed to detect the presence of vocal species. Automated analysis of acoustic data for large numbers of species is complex and can be subject to high levels of false positive and false negative results. Manual analysis by experienced surveyors can produce accurate results; however the time and effort required to process even small volumes of data can make manual analysis prohibitive. This study examined the use of sampling methods to reduce the cost of analyzing large volumes of acoustic sensor data, while retaining high levels of species detection accuracy. Utilizing five days of manually analyzed acoustic sensor data from four sites, we examined a range of sampling frequencies and methods including random, stratified, and biologically informed. We found that randomly selecting 120 one-minute samples from the three hours immediately following dawn over five days of recordings, detected the highest number of species. On average, this method detected 62% of total species from 120 one-minute samples, compared to 34% of total species detected from traditional area search methods. Our results demonstrate that targeted sampling methods can provide an effective means for analyzing large volumes of acoustic sensor data efficiently and accurately. Development of automated and semi-automated techniques is required to assist in analyzing large volumes of acoustic sensor data.read more
Citations
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Journal ArticleDOI
Ecoacoustics: the Ecological Investigation and Interpretation of Environmental Sound
Jérôme Sueur,Almo Farina +1 more
TL;DR: The contours of ecoacoustics are drawn by detailing: the main theories, concepts and methods used in ecoacoustic research, and the numerous outcomes that can be expected from the ecological approach to sound.
Journal ArticleDOI
Terrestrial Passive Acoustic Monitoring: Review and Perspectives
Larissa Sayuri Moreira Sugai,Larissa Sayuri Moreira Sugai,Thiago Sanna Freire Silva,José Wagner Ribeiro,Diego Llusia,Diego Llusia +5 more
TL;DR: Passive acoustic monitoring (PAM) is quickly gaining ground in ecological research, following global trends toward automated data collection and big data as mentioned in this paper, using unattended sound recording, PAM provides tools for longterm and cost-effective biodiversity monitoring.
Journal ArticleDOI
The use of acoustic indices to determine avian species richness in audio-recordings of the environment
TL;DR: This paper examines the problem of estimating avian species richness by sampling from very long acoustic recordings, and describes combinations of indices which lead to more efficient estimates of species richness than random sampling from the same recording.
Journal ArticleDOI
Autonomous recording units in avian ecological research: current use and future applications
Julia Shonfield,Erin M. Bayne +1 more
TL;DR: The use of ARUs in avian ecological research is summarized and current knowledge of the benefits and drawbacks of this technology is synthesized to enable researchers to do more repeat visits with less time spent in the field.
Journal ArticleDOI
Connecting soundscape to landscape: Which acoustic index best describes landscape configuration?
TL;DR: In this paper, the authors examined a suite of published acoustic indices to determine whether they provide comparable results relative to varying levels of landscape fragmentation and ecological condition in nineteen forest sites in eastern Australia.
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