2.6 Statistical analysis
According to the homogeneity of variance, one-way ANOVA or Kruskal-Wallis Tests were performed to assess the differences in small mammal diversity and community structure metrics among the three forest types. Tukey’s HSD multiple comparison tests (one-way ANOVA) or Wilcoxon Rank Sum tests (Kruskal-Wallis Tests) were performed on the means when the differences were significant. We conducted Wilcoxon tests and t-tests to assess differences between community structure metrics and 0. We conducted a non-line ordination with multidimensional scaling (NDMS), based on Bray-Curtis similarity matrices, to assess the similarity of small mammal species assemblages among the three forest types (Clarke, 1993). Chi-square tests were performed to test for differences in the ratio of glire (i.e., the proportion of glire species among all small mammal species) species among the three forest types. The results were considered significant at p<0.05. All analyses were conducted in the R statistical environment (version 4.05).