Recent advances in the analysis of behavioural organization and interpretation as indicators of animal welfare.
While the incorporation of mathematical and engineering methods has greatly advanced in other areas of the life sciences, they have been under-utilized in the field of animal welfare. Exceptions are beginning to emerge and share a common motivation to quantify 'hidden' aspects in the structure of the behaviour of an individual, or group of animals. Such analyses have the potential to quantify behavioural markers of pain and stress and quantify abnormal behaviour objectively. This review seeks to explore the scope of such analytical methods as behavioural indicators of welfare. We outline four classes of analyses that can be used to quantify aspects of behavioural organization. The underlying principles, possible applications and limitations are described for: fractal analysis, temporal methods, social network analysis, and agent-based modelling and simulation. We hope to encourage further application of analyses of behavioural organization by highlighting potential applications in the assessment of animal welfare, and increasing awareness of the scope for the development of new mathematical methods in this area.
Asher
Lucy
L
Department of Veterinary Clinical Sciences, Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield AL9 7TA, UK. lasher@rvc.ac.uk
Collins
Lisa M
LM
Ortiz-Pelaez
Angel
A
Drewe
Julian A
JA
Nicol
Christine J
CJ
Pfeiffer
Dirk U
DU
D000465:Algorithms; D000827:Animal Welfare; D000818:Animals; D001522:Behavior, Animal; D003198:Computer Simulation; D017709:Fractals; D006801:Humans; D008390:Markov Chains; D017146:Models, Organizational; D015233:Models, Statistical; D008962:Models, Theoretical; D012107:Research Design; D012919:Social Behavior; D013997:Time Factors