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. 2021 Jul 25;196(4):1153–1166. doi: 10.1007/s00442-021-04992-x

Table 2.

Statistical models explaining variance in soil C measured among 141 grassland transects

Hypothesis Model # Model description Model formula with P valuesa R2 AIC df model, df error
1 1 Full model Soil C–species richness*** + grassland type*** + clayns + prairie dog presence/absencens 0.41 337.3 5, 135
1 2 Constituent model 1 Soil C–species richness*** 0.21 374.3 1, 139
1 3 Constituent model 2 Soil C–grassland type*** 0.33 351.7 2, 138
1 4 Constituent model 3 Soil C–clay* 0.03 403.8 1, 139
1 5 Constituent model 4 Soil C–prairie dog presence/absence*** 0.14 386.9 1, 139
1 6 Best model Soil C–species richness*** + grassland type*** + species richness X grassland type** 0.44 330.0 5, 135
2 7 Models for species subsets Soil C–native species richness*** 0.17 381.2 1, 139
2 8 Soil C–exotic species richness** 0.04 402.1
2 9 Soil C–native perennial graminoid species richness*** 0.28 361.5
2 10 Soil C–exotic perennial graminoid species richness*** 0.09 394.9
2 11 Soil C–native perennial forb species richness*** 0.11 391.4
2 12 Soil C–exotic perennial forb species richness** 0.06 398.9
2 13 Soil C–native annual forb species richnessns 0.0 408.7
2 14 Soil C–exotic annual forb species richnessns 0.0 409.2
2 15 Soil C–Andropogon gerardii 1/0*** 0.27 364.6

See Figs. 1 and 2 for graphical depictions of relationships and more statistical information. See ESM2 for the data file for use in re-running these models to investigate the coefficients and effect sizes

The best model is in bold

a***P < 0.001; **P < 0.01, *P < 0.05, ns not significant