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Table 8 RMSE (m) of predictions from varying starting and prediction ages for both the validation and model datasets

From: A National height-age model for Pinus radiata in New Zealand

Measurement age (years)

Prediction age (years)

Validation dataset

Model dataset

Type A

Type B

Type C

Type A

Type B

Type C

10

15

0.97

0.84

0.84

0.95

0.83

0.82

 

20

1.43

1.18

1.21

1.53

1.28

1.31

 

25

1.80

1.38

1.52

1.98

1.57

1.72

 

30

1.94

1.45

1.70

2.18

1.71

1.71

 

35

2.48

1.49

2.14

2.68

1.24

1.33

15

20

1.05

0.95

0.98

1.11

1.02

1.02

 

25

1.59

1.35

1.47

1.73

1.42

1.51

 

30

1.91

1.49

1.69

1.99

1.64

1.68

 

35

2.93

1.90

2.29

2.96

1.50

1.60

20

25

1.25

1.13

1.18

1.35

1.18

1.21

 

30

1.76

1.48

1.58

1.91

1.49

1.49

 

35

2.90

2.26

2.46

3.27

1.93

1.87

25

30

1.20

1.16

1.22

1.39

1.28

1.35

 

35

1.98

1.92

2.07

2.59

1.77

1.76

30

35

1.03

1.41

1.44

1.04

1.37

1.47

  1. Predictions are made for Type A, B and C general polymorphic forms of the Bertalanffy-Richards function. The smallest RMSE for each dataset is indicated in boldface.