TABLE 3 Multiple matrix regression with randomization (MRR)
analyses on community composition (Simpson dissimilarity index,
βSIM) of Quercus alnifolia (Qa) sampling
sites at ASV and OTU levels. The explanatory variables were backward
selected from full models containing the following distance matrices:
‘flat’ scenario (NULLIBR), topography
(SPATWD), topoclimate (ENVPC1-2),
topographic complexity (TRIIBR) and forest fragmentation
(FRAIBR). The significance of both explanatory terms
retained in the best-fit model and those rejected during the backward
selection procedure are reported. The independent
(R I2) and joint coefficient of
determination (R J2) of each
predictor retained in the best-fit final model are provided.