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. 2018 Sep 19;13(9):e0204114. doi: 10.1371/journal.pone.0204114

Table 4. Regression coefficients and comparison between the combinations of hypotheses to explain the distribution of fish species richness in streams.

AIC: Akaike’s information criterion.

Combination of hypotheses r2 p AIC Δ AIC Moran’s I r2 for partial regression results
A.B A:B B.A 1-(A+B)
Water-Energy + Productivity + Temporal Heterogeneity 0.416 <0.001 4498.800 0.000 0.096 0.046 0.121 0.249 0.584
Water-Energy + Productivity + Temporal Heterogeneity + Area 0.416 <0.001 4500.400 1.700 0.096 0.047 0.120 0.249 0.584
Productivity + Temporal Heterogeneity 0.407 <0.001 4502.100 3.400 0.097 0.038 0.057 0.312 0.593
Productivity + Temporal Heterogeneity + Area 0.408 <0.001 4503.700 4.900 0.097 0.038 0.057 0.312 0.592
Temporal Heterogeneity + Area 0.400 <0.001 4510.400 11.600 0.097 0.030 0.055 0.315 0.600
Water-Energy + Temporal Heterogeneity 0.400 <0.001 4514.200 15.400 0.095 0.031 0.133 0.237 0.600
Water-Energy + Temporal Heterogeneity + Area 0.401 <0.001 4515.500 16.800 0.095 0.031 0.132 0.237 0.599
Water-Energy + Productivity 0.384 <0.001 4530.100 31.300 0.119 0.014 0.144 0.226 0.616
Water-Energy + Productivity + Area 0.384 <0.001 4531.800 33.000 0.119 0.014 0.144 0.226 0.616
Water-Energy + Area 0.376 <0.001 4537.600 38.900 0.115 0.007 0.143 0.226 0.624
Productivity + Area 0.370 <0.001 4540.400 41.600 0.132 0.001 0.001 0.369 0.630

r2—Coefficient of determination; p—Type one error probability; AIC—Information criteria of Akaike; Δ AIC—Akaike variation; Moran’s I—Autocorrelation index of Moran for variable; A.B—Environmental component; A:B—Shared Component; B.A—Spatial Component; 1-(A+B)—Residual