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Table 4 Parameter estimation (standard errors in parentheses) for linear RBAI models using the pooled MEI competition index 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

0.1517 (0.0204)

0.2629 (0.0191)

0.1470 (0.0238)

0.0687 (0.0410)

b 21

0.0043 (0.0015)

n.s.

n.s.

0.0111 (0.0028)

b 22

−0.0278 (0.0021)

−0.0389 (0.0036)

−0.0184 (0.0044)

−0.0280 (0.0056)

b 23

−0.0144 (0.0013)

−0.0155 (0.0021)

−0.0096 (0.0028)

n.s.

Random effects

σ jk a

0.0158

0.0090

0.0208

0.0000

σ k b

0.0107

0.0111

0.0064

0.0178

σ 2c

4.4560

4.9708

3.3294

4.5534

δ d

−1.2252

−1.1848

−1.1889

−1.1880

  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