Individual identification in acoustic recordings

Trends in Ecology & Evolution, Journal Year: 2024, Volume and Issue: 39(10), P. 947 - 960

Published: June 12, 2024

Language: Английский

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Using automated passive acoustic monitoring to measure changes in bird and bat vocal activity around hedgerows of different ages

Biological Conservation, Journal Year: 2024, Volume and Issue: 296, P. 110722 - 110722

Published: July 19, 2024

Hedgerows are a semi-natural habitat that supports farmland biodiversity by providing food, shelter, and connectivity. Hedgerow planting goals have been set across many countries in Europe agri-environment schemes (AES) play key role reaching these targets. Passive acoustic monitoring using automated vocalisation identification (automated PAM), offers valuable opportunity to assess changes following AES implementation simple, community-level metrics, such as vocal activity of birds bats. To evaluate whether could be used indicate the effectiveness hedgerow future result-based or hybrid schemes, we surveyed twenty-four hedgerows England classified into chrono-sequence three age categories (New, Young, Old). We recorded 4466 h over course 30 days measured bird bat BirdNET for Kaleidoscope Vocal all birds, bats were modelled with predictors hedgerow, habitat, weather conditions occurring from maturity. show an increase Young Old compared New ones highlight elements surrounding landscape should considered when evaluating on communities. found high precision low species-level observations, argue may novel link payment component PAM results, incentivising effective management farmers landowners.

Language: Английский

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Methods of acoustic data processing affect species detectability in passive acoustic monitoring of multi‐species playback

Ibis, Journal Year: 2025, Volume and Issue: unknown

Published: March 16, 2025

Passive acoustic monitoring (PAM) efforts have recently been accelerated by the development of automated detection tools, enabling quick and reliable analysis recordings. However, methods are still susceptible to errors, human processors achieve more accurate results. Our study evaluates efficacy three (auditory, visual using BirdNET) for 43 European bird species (31 diurnal, 12 nocturnal), analysing impact various factors on probability over different distances. We conducted transmission experiments in two forest types from March June, examining effect call characteristics, weather conditions habitat features, assess their at findings reveal that distance varies with each method, listening recordings obtaining highest detectability, followed method. Although BirdNET is less accurate, it proves useful detection, especially loud species. Large diurnal small nocturnal were most detected. emphasizes importance considering maximize detectability effective PAM research.

Language: Английский

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A complete framework for hyperbolic acoustic localization with application to northern bobwhite covey calls

Ecological Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 102871 - 102871

Published: Oct. 1, 2024

Language: Английский

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Animals and Land Cover/Land Use Change: A Remote Sensing—Galapagos Islands Assessment

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Language: Английский

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A Complete Framework for Hyperbolic Acoustic Localization with Application to Northern Bobwhite Covey Calls

Published: Jan. 1, 2024

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Language: Английский

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