Skip to main content

Table 7 Comparison of different competition indices added to CL—DBH basic model [CL4]

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

CL = (ϕ1 + ϕ3CI)DBHϕ2

CL = ϕ1DBH(ϕ2+ϕ3CI)

Adjust R2

MSE

MSER (%)

Adjust R2

MSE

MSER (%)

None

      

SDBH

0.4919

2.2254

0.64c

0.4912

2.2311

0.39c

SBA

0.4916

2.2337

0.27c

0.4911

2.2373

0.11c

CSDBH

0.4994

2.2155

1.09b,d

0.4952

2.2143

1.14b,d

SCBA

0.4890

2.2373

0.11c

0.4890

2.2387

0.05c

Heygi

0.4952

2.2310

0.39c

0.4935

2.2269

0.58c

Alem

0.4899

2.2396

0.01c

0.4890

2.2394

0.02c

Joha

0.4918

2.2307

0.40c

0.4928

2.2290

0.48c

OP

0.5683

1.9607

12.46b,d

0.5724

1.9194

14.31b,d

MaEk

0.4927

2.2281

0.52c

0.4913

2.2296

0.46c

JiQi

0.4904

2.2386

0.05c

0.4894

2.2398

0.00c

  1. CL, crown length; 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