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Table 3 Summary of the selection process of the environmental variables and the fitting statistics of the forward stepwise regression

From: Alternative approaches to assessing the natural regeneration of Scots pine in a Mediterranean forest

Model

Fixed effects

Random effect

Log-likelihood

Compared to model

Pr > (Chi)

(0)

Intercept

–

−543.56

–

–

(1)

Intercept

Plot

−512.74

(0)

<0.001

(2)

Intercept

Plot/transect

−512.40

(1)

0.4124

(3)

Na

Plot

−508.77

(1)

0.0048

(4)

Na, P

Plot

−506.45

(3)

0.0312

(5)

Na, P, altitude

Plot

−504.71

(4)

0.0663

(6)

Na, P, GSF

Plot

−505.10

(4)

0.0999

(7)

Na, P, slope

Plot

−505.33

(4)

0.1340

(8)

Na, P, pH

Plot

−506.44

(4)

0.8993

(9)

Na, P, IPOT

Plot

−505.24

(4)

0.1201

(10)

Na, P, INF

Plot

−505.31

(4)

0.1305

(11)

Na, P, organic matter

Plot

−506.29

(4)

0.5668

(12)

Na, P, Mg

Plot

−505.67

(4)

0.2114

(13)

Na, P, Ca

Plot

−505.29

(4)

0.1272

(14)

Na, P, K

Plot

−506.34

(4)

0.6375

(15)

Na, P, stumps

Plot

−501.28

(5)

0.0013

(16)

Na, P, stumps, trees

Plot

−501.21

(15)

0.7043

(17)

Na, P, stumps, Ln(electric conductivity)

Plot

−499.83

(15)

0.0889

(18)

Na, P, stumps, clay

Plot

−501.27

(15)

0.8580

(19)

Na, P, stumps, sand

Plot

−501.26

(15)

0.8415

(20)

Na, P, stumps, silt

Plot

−501.28

(15)

0.9383

(21)

Na, P, stumps, stoniness

Plot

−449.62

(15)

0.0681

(22)

Na, P, stumps, Na*stumps

Plot

−501.28

(15)

0.9643

(23)

Na, P, stumps, Na*P

Plot

−501.23

(15)

0.7567

(24)

Na, P, stumps, stumps*P

Plot

−501.24

(15)

0.7773

  1. The chosen model is in italics