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Table 3 Regression analysis of 8-day Re and the associated MODIS-derived products across the four grassland ecosystems using the stepwise multiple regression method

From: Remotely monitoring ecosystem respiration from various grasslands along a large-scale east–west transect across northern China

Grassland type

Period

Regression models

Training set

Test set

Constant

EVI

LAI

LSWI

LST

R2

RMSE

R2

RMSE

Temperate meadow steppe

Growing

1.088

4.078

3.743

0.57

0.72

0.77

0.45

Dormant

0.064

2.362

0.268

0.014

0.61

0.13

Entire year

− 0.619

8.487

0.018

0.80

0.51

0.71

0.63

Typical steppe

Growing

0.561

6.058

0.096

0.72

0.60

0.88

0.41

Dormant

0.044

3.463

0.659

0.021

0.41

0.26

Entire year

− 0.083

5.633

1.419

0.040

0.84

0.49

0.81

0.50

Desert steppe

Growing

0.213

0.758

0.39

0.32

0.50

0.21

Dormant

0.122

2.035

− 0.003

0.11

0.17

Entire year

0.190

0.775

0.43

0.25

0.45

0.27

Alpine meadow

Growing

− 0.321

7.198

− 0.208

2.854

0.73

0.98

0.85

0.67

Dormant

− 0.264

3.826

0.897

0.804

0.019

0.65

0.20

Entire year

− 0.520

6.947

1.318

0.020

0.81

0.67

0.83

0.69

  1. Time-series EVI, LAI, LSWI and LST data are derived from the corresponding MODIS products. All data are at an 8-day interval. The training set and test set of these flux sites are instructed in Table 1. When using the stepwise multiple regression method to develop models, only the best is exhibited here. The model’s performance was evaluated using the site-level flux measurement