Most seabird species are in need of effective conservation, with 43% being near to globally threatened. Passive acoustic monitoring could serve as a cost-effective, noninvasive population monitoring tool essential for informing future conservation efforts. As such, we set out to investigate whether passive acoustic monitoring could successfully predict the African penguin density at a remote colony in Betty’s Bay, South Africa. We first automated the detection and counting of penguins’ vocalisations in our recordings to facilitate the handling of large datasets. Then, we investigated whether temperature, humidity, and wind speed affected the calling rate of penguins, which would be essential for an accurate census. Finally, taking into account the variations with weather conditions, we showed that passive acoustic monitoring could successfully predict the number of callers within a 10.5 m radius around our devices, indicating that it can be used for cost-effective, noninvasive censuses of African penguin colonies.

Effect of Environmental Variables on African Penguin Vocal Activity: Implications for Acoustic Censusing

Terranova, Francesca;Friard, Olivier;Gamba, Marco;Favaro, Livio
Last
2023-01-01

Abstract

Most seabird species are in need of effective conservation, with 43% being near to globally threatened. Passive acoustic monitoring could serve as a cost-effective, noninvasive population monitoring tool essential for informing future conservation efforts. As such, we set out to investigate whether passive acoustic monitoring could successfully predict the African penguin density at a remote colony in Betty’s Bay, South Africa. We first automated the detection and counting of penguins’ vocalisations in our recordings to facilitate the handling of large datasets. Then, we investigated whether temperature, humidity, and wind speed affected the calling rate of penguins, which would be essential for an accurate census. Finally, taking into account the variations with weather conditions, we showed that passive acoustic monitoring could successfully predict the number of callers within a 10.5 m radius around our devices, indicating that it can be used for cost-effective, noninvasive censuses of African penguin colonies.
2023
12
9
1191
1191
https://www.mdpi.com/2079-7737/12/9/1191
passive acoustic monitoring; remote monitoring; remote census; Spheniscus demersus; vocalisations
Feist, Franziska; Terranova, Francesca; Petersen, Gavin Sean; Tourtigues, Emma; Friard, Olivier; Gamba, Marco; Ludynia, Katrin; Gridley, Tess; Pichegru, Lorien; Mathevon, Nicolas; Reby, David; Favaro, Livio
File in questo prodotto:
File Dimensione Formato  
biology-12-01191-v2.pdf

Accesso aperto

Descrizione: OA article
Tipo di file: PDF EDITORIALE
Dimensione 21.18 MB
Formato Adobe PDF
21.18 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1929479
Citazioni
  • ???jsp.display-item.citation.pmc??? 1
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact