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. 2021 May 3;4:512. doi: 10.1038/s42003-021-02031-2

Table 3.

Generalized least squares (GLS) statistics.

Response Explanatory Df F value p-value
Genera Landuse 1 5.81 0.018
Season 3 5.42 0.002
Method 1 184.00 <0.001
Landuse:Method 1 31.06 <0.001
Season:Method 3 4.09 0.009
Chironomidae Landuse 1 3.51 0.064
Season 3 5.79 0.001
Method 1 38.29 <0.001
Landuse:Method 1 39.43 <0.001
EPT Landuse 1 8.60 0.004
Season 3 19.98 <0.001
Method 1 422.00 <0.001
Landuse:Method 1 13.56 <0.001
Season:Method 3 17.04 <0.001
Function Landuse 1 10.40 0.001
Season 3 12.35 <0.001
Method 1 431.53 <0.001
Group 2 127.09 <0.001
Landuse:Method 1 104.27 <0.001
Season:Method 3 9.15 <0.001
Method:Group 2 50.18 <0.001

Results include each modeled genera, Chironomidae, EPT and functional richness response variable (N = 112), tested against the set of explanatory variables; including landuse type, method (eDNA/traditional), season and the possible two-way interactions. The model includes a pairwise distance variance structure to account for spatial autocorrelation. Models shown are the most parsimonious models with the associated model metrics, including degrees of freedom (DF), f-value and p-value, given for each set of response and explanatory variables. P-values in bold indicate significant effects.