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Table 8 Parameter estimation (standard errors in parentheses) for nonlinear RBAI models using the pooled MEI competition index as described in Eq. 3

From: Quantifying competition in white spruce (Picea glauca) plantations

 

Parameters

White spruce

Balsam fir

Other Conifers

Broadleaves

Fixed part

b 30

0.0365 (0.0031)

0.0426 (0.0034)

0.0387 (0.0063)

0.0444 (0.0078)

b 31

−0.0342 (0.0673)

2.4850 (1.4347)

0.3785 (0.1520)

−0.2996 (0.2455)

b 32

0.0184 (0.0072)

n.s.

n.s.

0.0447 (0.0306)

b 33

−15.5588 (2.3740)

−12.8471 (1.7331)

−9.8028 (2.7813)

−8.8537 (3.9482)

b 34

1e

1e

1e

1e

b 35

0.5435 (0.1143)

2.8134 (0.6927)

0.8016 (0.1719)

n.s.

b 36

2.1027 (0.4353)

0.2607 (0.0912)

1e

n.s.

Random effects

σ jk a

0.0153

0.0146

0.0213

0.0202

σ k b

0.0095

x

x

x

σ 2c

4.5746

1.8034

1.3459

1.4208

δ d

−1.2340

−0.9661

−1.0103

−0.8980

  1. n.s. not significant parameter (p value >0.05)
  2. aPlot random effect standard deviation
  3. bPlantation random effect standard deviation
  4. cResidual variance
  5. dVariation function parameter estimate
  6. eFixed value to 1 (e.g. not estimated by the regression)