Assessing animal welfare from bioacoustic monitoring in red-billed choughs (Pyrrhocorax pyrrhocorax)
Grantees: Claudia Wascher
Institution: Anglia Ruskin University, United Kingdom
Grant amount: $18,679
Grant type: Small grants
Focal species: Red-billed chough (Pyrrhocorax pyrrhocorax)
Conservation status: Least concern
Disciplines: Animal welfare science, ornithology, population ecology, animal behavior
Research location: United Kingdom
Project summary
In principle, animal vocalizations can be used to identify both positive and negative experiences. Specific vocal characteristics (e.g., mean fundamental frequency) and the rate of occurrence of certain call types can help to quantify animal welfare and are well-established in farm animals such as pigs, horses, cows, and chickens. But although bioacoustic monitoring is a well-established method in captive animals, the method has not been used in wild animals to assess positive and negative emotional states. This project will assess and validate the use of passive bioacoustic monitoring to assess welfare in a reintroduced population of red-billed choughs. The researchers will conduct a combination of automatic acoustic monitoring using “passive” acoustic recorders and direct observations (recording behavior via videos, monitoring activity during the night with night vision scopes, and “active” acoustic monitoring using high-quality directional microphone and parabolic dish). Their approach will allow them to record vocalizations and behavior during natural events expected to influence welfare, such as anthropogenic noise, predation events, intraspecific aggression, resting, or affiliative behaviors.
Why we funded this project
This project will help to validate the use of passive acoustic monitoring to assess welfare states from variation in vocal behavior, which presents a non-invasive, cost-effective tool to assess the impact of positive and negative events on animal welfare. In theory, acoustic monitoring could be used to assess the welfare of a large number of individuals at a time, making it a particularly promising method to investigate.
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