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Table 9 Parameter estimation (standard errors in parentheses) for nonlinear RBAI models using the pooled BAL 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

0.0255 (0.0029)

0.0487 (0.0032)

0.0336 (0.0064)

0.0179 (0.0132)

b 31

−0.1302 (0.0972)

2.0527 (0.4851)

−0.9071 (0.8982)

−0.1552 (0.0933)

b 32

0.0438 (0.0115)

n.s.

0.1718 (0.1238)

0.0265 (0.0089)

b 33

−14.1059 (1.5029)

−4.8198 (0.6377)

−8.0235 (2.1179)

−28.2363 (6.9015)

b 34

1e

1e

1e

1e

b 35

0.0444 (0.0174)

0.0840 (0.0162)

0.0656 (0.0119)

0.0238 (0.0093)

b 36

1.0997 (0.1250)

1e

1e

1e

Random effects

σ jk a

0.0079

0.0149

0.0193

0.0140

σ k b

0.0088

x

x

x

σ 2c

2.5953

1.2201

0.6286

2.6173

δ d

−1.1059

−0.8714

−0.8495

−1.0421

  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)