The DOI matches its Crossref record; 122 of the 122 references it cites were found in a registry or an index.
The emerging significance of bioacoustics in animal species conservation
Open accessAbstract
This review reports on the effects of human activities on animal acoustic signals published in the literature from 1970 to 2009. Almost 5% of the studies on variation in animal communication tested or hypothesised on human impacts, and showed that habitat fragmentation, direct human disturbance, introduced diseases, urbanization, hunting, chemical and noise pollution may challenge animal acoustic behaviour. Although acoustic adaptations to anthropogenic habitats have been documented, human impacts have most often generated neutral variation or potential maladaptive responses. Negative impacts have been postulated in the sexual signals of fishes, amphibians, birds, and mammals; these are concerning as any maladaptive alteration of sexual behaviour may have direct bearings on breeding success and ultimately population growth rate. Acoustic communication also facilitates other vital behaviours influenced by human-driven perturbations. Bat and cetacean echolocation, for instance, is disrupted by noise pollution, whereas bird and mammal alarming is also affected by introduced diseases and hunting. Mammal social signals are sensitive to noise pollution and hunting, and birds selecting habitats by means of acoustic cues are especially vulnerable to habitat loss. Anthropogenic intervention in these cases may have a negative impact on individual survival, recruitment and group cohesion, limiting rescue-effects and triggering Allee effects. Published evidence shows that acoustic variation may be used as an early-warning indicator of perturbations even when not directly affecting individual fitness. Acoustic signalling can be studied in a broad range of ecosystems, can be recorded, analyzed, synthesised and played back with relative ease and limited economic budget, and is sensitive to many types of impacts, thus can have great conservation significance.
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Cites
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Computational bioacoustics with deep learning: a review and roadmap
Stowell, D. (2022) · PeerJ · doi:10.7717/peerj.13152 · Cited by 471
Guidelines for the use of acoustic indices in environmental research
Bradfer‐Lawrence, T., Gardner, N., Bunnefeld, L., Bunnefeld, N., Willis, S. G., & Dent, D. H. (2019) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13254 · Cited by 319
Connecting soundscape to landscape: Which acoustic index best describes landscape configuration?
Fuller, S., Axel, A. C., Tucker, D., & Gage, S. H. (2015) · Ecological Indicators · doi:10.1016/j.ecolind.2015.05.057 · Cited by 314
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Metadata
- Authors
- Laiolo, P.
- Venue
- Biological Conservation
- Publisher
- Elsevier BV
- Published
- 2010-07
- Volume
- 143
- Issue
- 7
- Pages
- 1635-1645
- ISSN
- 0006-3207 (ISSN-L)
- OpenAlex
- W1990093930
- Cited by
- 335
- References
- 122
- FWCI
- 9.65
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.