Skip to main content

Table 6 Comparison of different competition indices added to the CW—DBH basic model [CW4]

From: Predicting crown width and length using nonlinear mixed-effects models: a test of competition measures using Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.)

CI no

CW = (ϕ1 + ϕ3CI)DBHϕ2

CW = ϕ1DBH(ϕ2+ϕ3CI)

Adjust R2

MSE

MSER (%)

Adjust R2

MSE

MSER (%)

None

      

SDBH

0.5091

0.2905

10.63b,d

0.5000

0.2936

9.68b

SBA

0.4653

0.3196

1.70b

0.4638

0.3201

1.54b

CSDBH

0.5115

0.2908

10.55b

0.5128

0.2898

10.87b,d

SCBA

0.4756

0.3127

3.80b

0.4913

0.3095

4.81b

Heygi

0.4715

0.3174

2.35b

0.4738

0.3165

2.63b

Alem

0.5517

0.2586

20.44b,d

0.4883

0.2839

12.67b

Joha

0.4620

0.3243

0.23c

0.4621

0.3243

0.23c

OP

0.4852

0.3145

3.24b

0.4816

0.3140

3.41b

MaEk

0.4619

0.3250

0.02c

0.4617

0.3250

0.01c

JiQi

0.6329

0.2198

32.38c

0.5048

0.2669

17.89b,d

  1. CW, crown width; CI, competition index; DBH, diameter at breast height; \({\phi }_{1}\), \({\phi }_{2}\) and \({\phi }_{3}\): formal parameters; Adjust R2, adjusted coefficient of determination; MSE, mean square error; MSER (%), mean square error reduction (%) relative to the regression model with no competition index
  2. bP values for Ï•1, Ï•2, and Ï•3 are lower than 0.05 in a T-test
  3. cP value for one or more than one coefficient are higher than 0.05 in a T-test
  4. dSuperior competition index selected from the two categories of CIs