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Table 5 RMSE values for the four models of the different forest types

From: Estimating the productive potential of five natural forest types in northeastern China

Bias

N

Trees

Base Model

Base Model + Hdom

Base Model + Climate

Base Model + Hdom & Climate

Eq. 1

Eq. 2

Eq. 1

Eq. 2

Eq. 1

Eq. 2

Eq. 1

Eq. 2

All

384

30,135

12.761

1.651

10.572

1.426

12.837

1.572

10.556

1.373

Broad-leaved mixed forest

192

15,284

10.652

1.382

9.950

1.198

10.598

1.351

9.941

1.191

Mixed broadleaf-conifer forest

30

2748

17.639

1.511

17.424

1.451

16.956

1.498

11.572

1.406

Mongolian oak forest

92

7097

7.626

1.763

7.617

1.296

7.790

1.702

7.657

1.265

Larch forest

37

2314

5.524

0.884

5.319

0.898

5.427

0.862

5.287

0.850

Birch forest

33

2692

4.928

1.043

3.688

1.065

4.996

1.042

3.669

1.061

  1. Bold numbers indicate the lowest RMSE value of each equation across all the models for a given forest type