MOESM2 of Stochastic processes shape microeukaryotic community assembly in a subtropical river across wet and dry seasons

Additional file 2: Table S1. Summary of environmental factors in the Tingjiang River across wet and dry seasons. Table S2. Comparison of environmental factors between wet and dry seasons. Table S3. Diversity, predicted richness and Good’s coverage of microeukaryotic community in the 60 samples. Table S4. The contribution of each taxa category to the microeukaryotic community in the 60 samples at 97% similarity level. Table S5. Mantel tests for the correlations between environmental distance, individual environmental factors and microeukaryotic community compositions in Tingjiang River during wet and dry seasons using Spearman’s coefficients. Table S6. Variation partitioning analysis based on partial RDA illustrating the effects of environmental and directional spatial (AEM) factors on the microeukaryotic communities in Tingjiang River. Table S7. Variation partitioning analysis based on partial RDA illustrating the effects of environmental and spatial (PCNM) factors on the microeukaryotic communities in Tingjiang River. Table S8. Variation partitioning analysis based on partial Mantel test illustrating the effects of environmental and spatial (PCNM) factors on the microeukaryotic communities in Tingjiang River. Table S9. The distinct estimated migration rate of neutral and non-neutral partitions of the metacommunity predicted by Sloan neutral model in different seasons. Table S10. Mantel tests for the correlations between geographical distance, environmental distance, individual environmental factors and different microeukaryotic community partitions predicted by the neutral community model in Tingjiang River during wet and dry seasons using Spearman’s coefficients. Table S11. The distinct estimated migration rate of wet, dry and both seasons’ microeukaryotic supergroups predicted by Sloan neutral model.