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).