Table 3. Results of direct gradient ordination analyses performed on the data.
Predictors | data | F-ratio | p-value | Trace |
treatment × sampling time interaction | species’ covers (CCA) | 1.739 | 0.052 | 0.029 |
treatment × sampling time interaction (removal vs. invaded plots) | species’ covers (CCA) | 2.417 | 0.074 | 0.024 |
treatment × sampling time interaction (removal vs. adjacent uninvaded plots) | species’ covers (CCA) | 1,45 | 0.368 | 0.017 |
treatment × sampling time interaction (invaded vs. adjacent uninvaded plots) | species’ covers (CCA) | 2.208 | 0.002 | 0.027 |
treatment × sampling time interaction | binnary data (RDA) | 1.523 | 0.034 | 0.002 |
treatment × sampling time interaction (removal vs. invaded plots) | binnary data (RDA) | 1.452 | 0.116 | 0.002 |
treatment × sampling time interaction (removal vs. adjacent uninvaded plots) | binnary data (RDA) | 0.772 | 0.9380 | 0.001 |
treatment × sampling time interaction (invaded vs. adjacent uninvaded plots) | binnary data (RDA) | 2.386 | 0.004 | 0.003 |
treatment (main effect) | species’ covers (CCA) | 1.375 | 0.07 | 0.309 |
treatment (main effect - removal vs. invaded plots) | species’ covers (CCA) | 1.077 | 0.370 | 0.135 |
treatment (main effect - removal adjacent uninvaded plots) | species’ covers (CCA) | 1.740 | 0.034 | 0.260 |
treatment (main effect - invaded vs. adjacent uninvaded plots) | species’ covers (CCA) | 1.941 | 0.004 | 0.304 |
treatment (main effect) | binnary data (RDA) | 1.139 | 0.2280 | 0.034 |
treatment (main effect - removal vs. invaded plots) | binnary data (RDA) | 1.201 | 0.2360 | 0.027 |
treatment (main effect - removal vs. adjacent uninvaded plots) | binnary data (RDA) | 0.824 | 0.742 | 0.019 |
treatment (main effect - invaded vs. adjacent uninvaded plots) | binnary data (RDA) | 1.523 | 0.05 | 0.032 |
For each of the analyses, the table shows the tested term (main effect or interaction), type of data (species’ covers estimates or binary presence – absence), results of test statistics (F-ratio and p-value) and Trace. Trace is, in this case, a sum of canonical eigenvalues of the model and represents the ordination model’s explanatory power.