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Table 2 Multiple regression through generalized linear models (GLM, type III sum of squares) showing the effects of the scores of the first axes from four principal component analyses: (i) soil texture, (ii) soil fertility and (iii) vegetation characteristics on the mean annual litterfall mass per plot (n = 12, adjusted R2 = 0.46); and (iv) climate on the mean monthly litterfall mass (n = 36, adjusted R2 = 0.78)

From: Litterfall dynamics along a successional gradient in a Brazilian tropical dry forest

Response varhiable

Explanatory variables

DF

Deviance

Estimate

Standard Error

F

P

Mean annual litterfall mass ~ Axis1 from PCA texture + Axis1 from PCA fertility + Axis1 from PCA vegetation

 Annual litterfall mass

Null model (intercept)

 

0.839

1.404

0.031

  

Axis1 from PCA texture

1

0.126

−0.404

0.186

5.589

0.028a

Axis1 from PCA fertility

1

0.016

0.009

0.035

0.709

0.409

Axis1 from PCA vegetation

1

0.245

0.236

0.067

10.871

0.003a

Mean monthly litterfall mass ~ Axis1 from PCA climatic

 Monthly litterfall mass

Null model (intercept)

 

18.189

−1.103

0.168

  

Axis1 from PCA climatic

1

14.987

−0.013

0.002

4.71

0.041a

  1. a Explanatory variable retained in the minimum adequate model (P < 0.05)
  2. Estimates indicate intercepts and coefficient parameters. At both models, response variables were log-transformed