Table 1 Estimated regression parameters (B), standard errors (SE B), t values (t) and p values for the generalized linear model (GLM) to estimate gap fraction.

From: Large-scale variations in the dynamics of Amazon forest canopy gaps from airborne lidar data and opportunities for tree mortality estimates

Model variables

ΔR2

B

SE B

β

t

P value

VIF

(Intercept)

–

1.65

0.05

–

30.6

 < 0.01

-

SCC

0.16

0.69

0.05

0.20

15.25

 < 0.01

1.17

Nonforest_dist

0.03

− 0.13

0.02

− 0.09

− 6.3

 < 0.01

1.39

Floodplains

0.17

1.63

0.10

0.08

15.75

 < 0.01

1.94

Mean_def

0.09

0.03

0.002

0.12

11.15

 < 0.01

1.68

Floodplains:Mean_def

0.05

− 0.11

0.01

− 0.12

− 8.39

 < 0.01

1.61

  1. Standardized beta coefficients (β), ΔR2 (change in R2 by adding the variable last to the model) and variance-inflation factors (VIF) for each predictor were also reported. Model achieved R2 of 0.57.
  2. SCC soil cation concentration, Nonforest_dist distance to the nearest non-forest area, Floodplains floodplains cover fraction, Mean_def mean monthly water deficit.
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