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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

From: Role of functionally dominant species in varying environmental regimes: evidence for the performance-enhancing effect of biodiversity

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

  1. 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.