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Table 7 Parameter estimation (standard errors in parentheses) for linear RBAI models using BAL index where competition effect is discriminated as described in Eq. 2

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

 

Parameters

White spruce

Balsam fir

Other conifers

Broadleaves

Fixed part

b 20

0.2241 (0.0219)

0.2612 (0.0231)

0.2294 (0.0357)

0.1536 (0.0570)

b 21

0.0045 (0.0013)

n.s.

n.s.

0.0112 (0.0031)

b 22

−0.0441 (0.0032)

−0.0407 (0.0045)

−0.0356 (0.0069)

−0.0428 (0.0083)

b 24

−0.0030 (0.0009)

n.s.

n.s.

n.s.

b 25

−0.0010 (0.0001)

−0.0007 (0.0002)

−0.0010 (0.0002)

−0.0013 (0.0006)

Random effects

σ jk a

0.0122

0.0103

0.0179

0.0104

σ k b

0.0111

0.0097

0.0071

0.0169

σ 2c

4.0353

5.3915

3.4848

3.0628

 

δ d

−1.1990

−1.1922

−1.2015

−1.1002

  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