The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Acoustic monitoring in terrestrial environments using microphone arrays: applications, technological considerations and prospectus
Abstract
1. Animals produce sounds for diverse biological functions such as defending territories, attracting mates, deterring predators, navigation, finding food and maintaining contact with members of their social group. Biologists can take advantage of these acoustic behaviours to gain valuable insights into the spatial and temporal scales over which individuals and populations interact. Advances in bioacoustic technology, including the development of autonomous cabled and wireless recording arrays, permit data collection at multiple locations over time. These systems are transforming the way we study individuals and populations of animals and are leading to significant advances in our understandings of the complex interactions between animals and their habitats. 2. Here, we review questions that can be addressed using bioacoustic approaches, by providing a primer on technologies and approaches used to study animals at multiple organizational levels by ecologists, behaviourists and conservation biologists. 3. Spatially dispersed groups of microphones (arrays) enable users to study signal directionality on a small scale or to locate animals and track their movements on a larger scale. 4. Advances in algorithm development can allow users to discriminate among species, sexes, age groups and individuals. 5. With such technology, users can remotely and non-invasively survey populations, describe the soundscape, quantify anthropogenic noise, study species interactions, gain new insights into the social dynamics of sound-producing animals and track the effects of factors such as climate change and habitat fragmentation on phenology and biodiversity. 6. There remain many challenges in the use of acoustic monitoring, including the difficulties in performing signal recognition across taxa. The bioacoustics community should focus on developing a common framework for signal recognition that allows for various species’ data to be analysed by any recognition system supporting a set of common standards. 7. Synthesis and applications. Microphone arrays are increasingly used to remotely monitor acoustically active animals. We provide examples from a variety of taxa where acoustic arrays have been used for ecological, behavioural and conservation studies. We discuss the technologies used, the methodologies for automating signal recognition and some of the remaining challenges. We also make recommendations for using this technology to aid in wildlife management.
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Cites
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African elephant vocal communication I: antiphonal calling behaviour among affiliated females
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Power output and efficiency of sound production by crickets
Forrest, T. G. (1991) · Behavioral Ecology · doi:10.1093/beheco/2.4.327 · Cited by 98 · cited 1×
“The use of microphone arrays in the field has great potential for relating small- and large-scale variation in the spatial structure of signals to the social and environmental context in which the signals are used (e.g. Forrest 1991; Lammers & Au 2003).”
Directional acoustic radiation in the strut display of male sage grouse Centrocercus urophasianus
Dantzker, M. S., Deane, G. B., & Bradbury, J. W. (1999) · Journal of Experimental Biology · doi:10.1242/jeb.202.21.2893 · Cited by 61
Cited by
Estimating animal population density using passive acoustics
Marques, T. A., Thomas, L., Martin, S. W., Mellinger, D. K., Ward, J. A., Moretti, D. J., Harris, D., & Tyack, P. L. (2013) · Biological Reviews · doi:10.1111/brv.12001 · Cited by 746
Emerging opportunities and challenges for passive acoustics in ecological assessment and monitoring
Gibb, R., Browning, E., Glover‐Kapfer, P., & Jones, K. E. (2019) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13101 · Cited by 730
Applications of machine learning in animal behaviour studies
Valletta, J. J., Torney, C., Kings, M., Thornton, A., & Madden, J. (2017) · Animal Behaviour · doi:10.1016/j.anbehav.2016.12.005 · Cited by 505
“…Crofoot, Jetz, &Wikelski, 2015; Tomkiewicz, Fuller, Kie, & Bates, 2010), fine-scale motion (Brown, Kays, Wikelski, Wilson, & Klimley, 2013), social interactions (Krause et al., 2013), vocalizations (Blumstein et al., 2011) and physiological responses (Kramer & Kinter, 2003) of individual animals.”
Machine learning to classify animal species in camera trap images: Applications in ecology
Tabak, M. A., Norouzzadeh, M. S., Wolfson, D. W., Sweeney, S. J., Vercauteren, K. C., Snow, N. P., Halseth, J. M., Di Salvo, P. A., Lewis, J. S., White, M. D., et al. (2019) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13120 · Cited by 504
Autonomous recording units in avian ecological research: current use and future applications
Shonfield, J., & Bayne, E. M. (2017) · Avian Conservation and Ecology · doi:10.5751/ace-00974-120114 · Cited by 366
Metadata
- Authors
- Blumstein, D. T., Mennill, D. J., Clemins, P., Girod, L., Yao, K., Patricelli, G., Deppe, J. L., Krakauer, A. H., Clark, C., Cortopassi, K. A., Hanser, S. F., McCowan, B., Ali, A. M., & Kirschel, A. N. G.
- Venue
- Journal of Applied Ecology
- Publisher
- Wiley
- Published
- 2011-04-06
- Volume
- 48
- Issue
- 3
- Pages
- 758-767
- ISSN
- 0021-8901 (ISSN-L)
- OpenAlex
- W2114455599
- Cited by
- 652
- References
- 4
- FWCI
- 17.98
- Type
- journal article
- Language
- en
- Open access
- closed
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- Blumstein, D. T., Mennill, D. J., Clemins, P., Girod, L., Yao, K., Patricelli, G., Deppe, J. L., Krakauer, A. H., Clark, C., Cortopassi, K. A., Hanser, S. F., McCowan, B., Ali, A. M., & Kirschel, A. N. G. (2011). Acoustic monitoring in terrestrial environments using microphone arrays: applications, technological considerations and prospectus. Journal of Applied Ecology. https://doi.org/10.1111/j.1365-2664.2011.01993.x
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