ArticleFrontiers in zoology2018
Acoustic localization at large scales: a promising method for grey wolf monitoring.
Article in Frontiers in zoology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Bioacoustic Detection of Wolves Using AI (BirdNET, Cry-Wolf and BioLingual).Animals : an open access journal from MDPI · 2026Article
- Automated detection of wolf howls using audio spectrogram transformers.Scientific reports · 2025Article
- Localizing wild chimpanzees with passive acoustics.Ecology and evolution · 2022Article
- Bioacoustic Detection of Wolves: Identifying Subspecies and Individuals by Howls.Animals : an open access journal from MDPI · 2022Article
- Acoustic localization of terrestrial wildlife: Current practices and future opportunities.Ecology and evolution · 2020Review
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Authors and funding
4 authors.
Funding
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Abstract
backgroundThe grey wolf (
resultsAmong 354 nocturnal broadcasts in total, 269 were recorded by at least one autonomous recorder, thereby demonstrating the potential of this tool. Besides, 59 broadcasts were recorded by at least four microphones and used for acoustic localization. The broadcast sites were localized with an overall mean accuracy of 315 ± 617 (standard deviation) m. After setting a threshold for the temporal error value associated with the estimated coordinates, some unreliable values were excluded and the mean accuracy decreased to 167 ± 308 m. The number of broadcasts recorded was higher in the lowland environment, but the localization accuracy was similar in both environments, although it varied significantly among different nights in each study area.
conclusionsOur results confirm the potential of using acoustic methods to localize wolves with high accuracy, in different natural environments and at large spatial scales. Passive acoustic methods are suitable for monitoring the dynamics of grey wolf recolonization and so, will contribute to enhance conservation and management plans.
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