Table 2 Linear mixed-effects models used to identify parameters that influenced the localization accuracy. Models were built with fixed effects alone, summed (“+”) and with interactions (“*”). The nested random effect was similar for all of the models (see “m0”). Akaike’s information criterion (AIC) was calculated to select the best statistical model, i.e. the “m2” model

From: Acoustic localization at large scales: a promising method for grey wolf monitoring