Biologging reveals individual variation in behavioural predictability in the wild

• Published in: Journal of Animal Ecology
• Main Authors: Hertel, Anne, G, Royauté, Raphaël, Zedrosser, Andreas, Mueller, Thomas
• Other Authors: Ludwig Maximilian University Munich = Ludwig Maximilians Universität München (LMU)
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2021
• Subjects: animal personality; behavioural syndrome; double hierarchical model; movement; residual intra-individual variability; Ursus arctos; [SDE.BE]Environmental Sciences/Biodiversity and Ecology
• Online Access: https://hal.inrae.fr/hal-03954606; https://hal.inrae.fr/hal-03954606/document; https://hal.inrae.fr/hal-03954606/file/Hertel_etal_2021_JAE.pdf; https://doi.org/10.1111/1365-2656.13406

International audience 1. Recent research highlights the ecological importance of individual variation in behavioural predictability. Individuals may not only differ in their average expression of a behavioural trait (their behavioural type) and in their ability to adjust behaviour to changing environmental conditions (individual plasticity), but also in their variability around their average behaviour (predictability). However, quantifying behavioural predictability in the wild has been challenging due to limitations of acquiring sufficient repeated behavioural measures.2. We here demonstrate how common biologging data can be used to detect individual variation in behavioural predictability in the wild and reveal the coexistence of highly predictable individuals along with unpredictable individuals within the same population. 3. We repeatedly quantified two behaviours-daily movement distance and diurnal activity-in 62 female brown bears Ursus arctos tracked across 187 monitoring years. We calculated behavioural predictability over the short term (50 consecutive monitoring days within 1 year) and long term (across monitoring years) as the residual intra-individual variability (rIIV) of behaviour around the behavioural reaction norm. We tested whether predictability varies systematically across average behavioural types and whether it is correlated across functionally distinct behaviours, that is, daily movement distance and amount of diurnal activity. 4. Brown bears showed individual variation in behavioural predictability from predictable to unpredictable individuals. For example, the standard deviation around the average daily movement distance within one monitoring year varied up to fivefold from 1.1 to 5.5 km across individuals. Individual predictability for both daily movement distance and diurnality was conserved across monitoring years. Individual predictability was correlated with behavioural type where individuals which were on average more diurnal and mobile were also more unpredictable in their ...