“…Individual factors included a set of predictors that were expected to influence attitudes (marked with +, − or * according to their expected positive, negative and uncertain effect on attitudes, respectively), that is information sources, trust in information(+) and frequency of information(+), previous encounters with wolves(*), losing livestock to depredation(−), age(−), gender, knowledge of wolves(+), education level(+), being a hunter − and a livestock owner − (Arbieu et al., 2019, 2020; Eriksson et al., 2015; Kansky et al., 2014; Majić & Bath, 2010; Piédallu et al., 2016). Regional factors included predictors describing the wolf‐related situation of the city, namely the permanent presence of wolves(−) (wolf region), the actual(+) and estimated(+) distances to the closest wolf territory and the rural(−) versus intermediate(+) categorization of the region (Arbieu et al., 2019; Heberlein et al., 2005; Karlsson & Sjöström, 2007; Zscheischler & Friedrich, 2022). To quantify attitudes, we also used a PCA with varimax rotation and polychoric correlation structure, and retained factors that had a higher Eigen value than expected by chance for analysis.…”