Interactions between sibling species of treecreepers <i>Certhia familiaris</i> and <i>C. brachydactyla</i> in the Pyrenees and the mistaken identity hypothesis

Clouet, Michel; Gérard, Jean‐François

doi:10.1080/00063657.2020.1863332

Cited by 1 publication

(1 citation statement)

References 27 publications

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“…However, the Short-toed Treecreeper showed sustained vocal activity throughout the morning, and the species even vocalized during the afternoon. This prolonged vocalization behavior might be related to the species’ strong vocal response towards other species, particularly to the closely related Common Treecreeper ( Certhia familiaris , [ 40 , 41 ]), which coexists in the study area and may have stimulated the vocal activity of the Short-toed Treecreeper.…”

Section: Discussionmentioning

confidence: 99%

Hearing to the Unseen: AudioMoth and BirdNET as a Cheap and Easy Method for Monitoring Cryptic Bird Species

Bota,

Manzano-Rubio,

Catalán

et al. 2023

Sensors

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The efficient analyses of sound recordings obtained through passive acoustic monitoring (PAM) might be challenging owing to the vast amount of data collected using such technique. The development of species-specific acoustic recognizers (e.g., through deep learning) may alleviate the time required for sound recordings but are often difficult to create. Here, we evaluate the effectiveness of BirdNET, a new machine learning tool freely available for automated recognition and acoustic data processing, for correctly identifying and detecting two cryptic forest bird species. BirdNET precision was high for both the Coal Tit (Peripatus ater) and the Short-toed Treecreeper (Certhia brachydactyla), with mean values of 92.6% and 87.8%, respectively. Using the default values, BirdNET successfully detected the Coal Tit and the Short-toed Treecreeper in 90.5% and 98.4% of the annotated recordings, respectively. We also tested the impact of variable confidence scores on BirdNET performance and estimated the optimal confidence score for each species. Vocal activity patterns of both species, obtained using PAM and BirdNET, reached their peak during the first two hours after sunrise. We hope that our study may encourage researchers and managers to utilize this user-friendly and ready-to-use software, thus contributing to advancements in acoustic sensing and environmental monitoring.

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Section: Discussionmentioning

confidence: 99%