), which gives the probability that a resource is used when others are equally available (Manly et al., 2002). The above analyses were done using the adehabitatHS R package version 0.3.14 (Calenge, 2006).
Daily activity pattern was represented with frequency bar charts and kernel density charts considering two contrasting behaviours: Active and Inactive. We also tested for differences in the abundances of individuals from El Simbral and Tuctumpaya using the Wilcoxon Signed-Ranks Test (Aho, 2014). This test was also used to compare the abundance of active and inactive individuals in El Simbral and Tuctumpaya throughout the day.
For each category of prey, we obtained the number of individuals (N), frequency of stomachs containing the prey (F) and weight (W). However, for plant material, we only estimated the F and W; furthermore, this item was not included in any further analysis. We determined the percentage of each measurement(%N, %F, %W). With these measurements, we obtained the Relative Importance Index (IRI) (Pinkas, 1971) but used the weight instead of the prey volume (Martin, Twigg, and Robinson, 1996). Thus, the index is: IRI = (%N + %W)%F. The IRI is used mainly in fishery studies but is also recommended in other taxa, such as reptiles (Hart, Calver, and Dickman, 2002). We used the hierarchised %IRI values according to the categories proposed by Montori (1991), which havebeen used in diet studies in other Liolaemus species (see Semhan and Halloy, 2016). Thus, prey categories were ordered under the following dietary hierarchy: Fundamental (F: %IRI >75%), Secondary (S: 75% > %IRI > 50%), Accessory (A: 50% > %IRI > 25%) and Accidental (a: 25% > %IRI). This hierarchy was originally proposed for values of the “Lambda segunda” dominance index (Montori, 1991), however, it has regularly been used with other indexes in dietarystudies of Liolaemus species (see Semhan and Halloy, 2016; Cabrera and Scrocchi Manfrini, 2020; Olivera Jara and Aguilar, 2020). Trophic niche amplitude was estimated using the standardised Levin’s index: