Skip to main content

Table 4 The linear and non-linear effects of food C/N ratios on the nine different traits of the oribatid mite Archegozetes longisetosus

From: Nutritional quality modulates trait variability

 

Linear effect

Nonlinear effect

C/N

C/N x C/N

Chemistry

 Amount (log transformation)

  Estimatea ± SE

0.125 ± 0.023

−0.007 ± 0.001

  t286

5.546

−5.242

  p

<  0.0001

<  0.0001

 Composition (1/4-power transformation)

  pseudoF286b

354.390

118.350

  r2

0.469

0.157

  p

<  0.0001

<  0.0001

 Regeneration (arcsine square root transformation)

  Estimatea ± SE

0.229 ± 0.057

−0.012 ± 0.003

  t100

4.031

−3.641

  p

0.0001

0.0004

Life history

 Developmental time (no transformation)

  Estimatea ± SE

−0.081 ± 0.035

0.005 ± 0.002

  t172

−2.321

2.455

  p

0.0215

0.0151

 Survival (arcsine square root transformation)

  Estimatea ± SE

0.130 ± 0.039

− 0.006 ± 0.002

  t216

3.357

−2.693

  p

0.0009

0.0077

 Offspring (square root transformation)

  Estimatea ± SE

0.144 ± 0.029

−0.007 ± 0.002

  t216

4.906

−4.140

  p

<  0.0001

<  0.0001

 Output (square root transformation)

  Estimatea ± SE

0.203 ± 0.033

− 0.010 ± 0.002

  t208

6.191

−5.530

  p

< 0.0001

< 0.0001

Morphology

 Body mass (log transformation)

 

  Estimatea ± SE

0.135 ± 0.021

−0.008 ± 0.001

  t208

6.543

−7.082

  p

< 0.0001

< 0.0001

 Morphometry (1/4-power transformation)

  pseudoF201b

0.960

2.781

  r2

0.005

0.013

  p

0.3457

0.0603

  1. aThe estimate of the linear effect describes the slope of the relationship between the C/N ratio and the response variable (i.e. normalized trait value), while the estimate of the non-linear effect is the curvature of the quadratic relationship (i.e. normalized trait value ~ C/N x C/N). b For the multivariate traits we used permutational multivariate analysis of variance (PERMANOVA), instead of a normal linear model