Erschienen:
Cambridge University Press (CUP), 2024
Erschienen in:
Animal Welfare, 33 (2024)
Sprache:
Englisch
DOI:
10.1017/awf.2024.29
ISSN:
0962-7286;
2054-1538
Entstehung:
Anmerkungen:
Beschreibung:
Abstract Human evaluation of animal emotional expressivity can inform animal welfare. Qualitative Behavioural Assessment (QBA) has been applied to domesticated and some non-domesticated animals, but its use in primates is limited despite their emotional expressivity. We aimed to develop and apply a QBA for bonobos (Pan paniscus) through two consecutive studies. We applied Free Choice Profiling (FCP) and the Fixed List methodology, respectively, in Study 1 and 2, and invited students and bonobo experts to rate video clips of zoo-living bonobos of different sexes and age classes, and before and after moving to a new enclosure. In Study 1, students described dimension 1 as ranging from ‘quiet/calm’ to ‘angry/active’ and dimension 2 from ‘sad/anxious’ to ‘happy/loving’. Experts described dimension 1 ranging from ‘quiet/relaxed’ to ‘nervous/alert’ and dimension 2 from ‘nervous/bored’ to ‘playful/happy’. Using a fixed list of descriptors, informed by findings from Study 1, students in Study 2 described dimension 1 as ranging from ‘quiet/calm’ to ‘agitated/frustrated’, and dimension 2 from ‘sad/stressed’ to ‘happy/positively engaged’. Experts described dimension 1 as ranging from ‘quiet/calm’ to ‘active/excited’, and dimension 2 from ‘sad/bored’ to ‘happy/positively engaged’. Students scored adults as more ‘calm/quiet’ and experts scored subadults as more ‘happy/positively engaged’. Additionally, experts in Study 2 rated bonobos as more ‘active/excited’ in their new enclosure. Reliability was moderate to good for the dimensions. Additionally, animal-directed empathy of observers influenced QBA scores. This is the first time, FCP has been successfully used as a method to study primate emotional expressivity. Our findings show the promise of employing QBA in primate studies and in industry, with validation of additional metrics to enable its use for welfare-monitoring purposes.