Table 1

Summary of the statistical regression models used to investigate effects of species richness and species composition on respiratory activity under (A) constant and (B) varying temperature regimes
A Constant temperature regime
Independent variables Significant terms L-ratio d.f. p-value
1. SR SR 12.7 6 0.013
2. SC SC 36 32 <0.0001
B Varying temperature regimes
Independent variable Significant terms L-ratio d.f. p-value
1. SR, A, F SR × A 30.1 18 <0.0001
A × F 5.66 21 0.017
Importance of independent variables:
SR 94.4 14 <0.0001
F 8.34 20 0.0154
A 37.8 16 <0.0001
2. SC, A, F SC × A × F 132 156 <0.0001
Importance of independent variables:
SC 1485 66 <0.0001
F 338 124 <0.0001
A 540 124 <0.0001

For each model, the highest order terms are presented and, where multiple terms are present, the relative importance of individual terms (and their interactions) within a model can be compared using the likelihood ratios (L-ratios). Note that separate models were run to test the effects of species richness (SR) and species composition (SC). A: amplitude of temperature change, F: frequency of temperature fluctuation. d.f.: degrees of freedom.

Langenheder et al.

Langenheder et al. BMC Ecology 2012 12:14   doi:10.1186/1472-6785-12-14

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