Consistent inter-individual variability in movement traits shapes the wild boar movement syndrome

Consistent intraspecific variation in behavior directly impacts reactions to environmental challenges, including life in human-altered landscapes. Yet, it is rarely considered in free-ranging species thriving in anthropogenic landscapes and causing human-wildlife conflict. Here, we examine the consistent inter-individual variability in wild boar movement traits and highlight its potential for ecology and practical management. We used satellite telemetry data from 95 GPS-tracked wild boars monitored in Czechia and computed weekly movement rate (activity), intensity of space use (exploration), and diurnality (boldness). Using a variance partitioning approach, we tested whether these traits were repeatable over time and therefore considered personality traits, and using Bayesian multivariate mixed-effect models, we examined the correlations among these traits to describe a behavioral syndrome while controlling for external and internal sources of variation. Wild boar showed significant con..., , # Consistent inter-individual variability in movement traits shapes the wild boar movement syndrome

Data for Masilkova et al. \"Consistent inter-individual variability in movement traits shapes the wild boar movement syndrome\" (Behavioral Ecology 2025).

Dataset \"wildboar_personality_dataset.csv\" (one row = mean weekly values of movement traits for individual wild boar, including model covariates) contains the following columns:

**study_areas** = two study areas (doupov, kostelec)
**sex** = sex of the wild boar (female, male)
**age_class** = age class of the wild boar (2 = juvenile, 3 = subadult, 4 = adult)
**uniqueID** = unique ID of GPS deployment (some individuals were tracked with different devices, so each tracking event is identified here)
**animalID** = ID of individual wild boar
**week** = sequential number of week in year (from 1 to 53)
**mean_p2ptime** = time between fixes; time in minutes elapsed between one GPS fix and the next GPS fix
**mean_forestCover** = forest cover; ...,