Validating the use of cognitive bias to assess affective valence in wild bird populations.

Grantees: Oliver Burman

 

Institutions: University of Lincoln, United Kingdom

Grant amount: $193,684.17

 

Grant type: Challenge grant

Focal species: Free-living wild birds, including (but not limited to): blue tits (Cyanistes caeruleus), great tits (Parus major), wrens (Troglodytes troglodytes), coal tits (Poecile ater), European robins (Erithacus rubecula), chaffinches (Fringilla coelebs), greenfinches (Chloris chloris), starlings (Sturnus vulgaris), blackbirds (Turdus merula) and Eurasian jays (Garrulus glandarius).

 

Conservation status: Least concern

Disciplines: Animal welfare science, ornithology, animal behavior

 

Research location: United Kingdom


Project summary

Cognitive bias is a robust and validated measure of affective valence effective in a wide variety of animal species. However, this valuable approach has been primarily focused on the welfare assessment of captive animals and has not yet been demonstrated in wild free-living animal populations. This goal is crucial for addressing urgent contemporary issues such as the impact of anthropogenic and climatic change on wild animal welfare and to tackle key conservation challenges. In the first attempt to apply a cognitive judgement bias task in a free-living wild animal population, we found that wild birds struggled to complete the necessary training (discrimination) stage of the cognitive bias task. In the proposed project, our aim is therefore to validate two novel cognitive approaches to assessing affective valence in wild animals that do not require training, in conjunction with established behavioural and physiological indicators of welfare. Firstly, we will investigate a modified cognitive judgement bias task based on the innate avoidance of naturally occurring aversive prey, using the principle of imperfect Batesian mimicry. Secondly, we will modify and validate a cognitive attention bias task that relies on a spontaneous response to a potential threat. Both tasks will be assessed in populations of wild birds using natural variation in affective valence. Our anticipated outcomes are the development of an effective, validated measure of affective valence applicable to wild birds without the need for capture/restraint that can be translated across species; an invaluable tool in the assessment of wild animal welfare in response to a wide variety of environmental challenges.

Why we funded this project

This project’s results are intended to be generalizable to numerous woodland bird species (e.g., tits, wrens, starlings). We also appreciate its creatively humane approach to validation, using innate preferences and natural variation in affective valence, rather than training and experimental manipulation. Plus, the project considers both presumably positive (e.g., food, shelter) and presumably negative (e.g., predator abundance) welfare factors, which further strengthens the validation.


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Developing an automated cognitive bias task for wild squirrels

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Measuring health and frailty in wild insects