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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 typePeriodRegression modelsTraining setTest set
ConstantEVILAILSWILSTR2RMSER2RMSE
Temperate meadow steppeGrowing1.0884.0783.7430.570.720.770.45
Dormant0.0642.3620.2680.0140.610.13
Entire year− 0.6198.4870.0180.800.510.710.63
Typical steppeGrowing0.5616.0580.0960.720.600.880.41
Dormant0.0443.4630.6590.0210.410.26
Entire year− 0.0835.6331.4190.0400.840.490.810.50
Desert steppeGrowing0.2130.7580.390.320.500.21
Dormant0.1222.035− 0.0030.110.17
Entire year0.1900.7750.430.250.450.27
Alpine meadowGrowing− 0.3217.198− 0.2082.8540.730.980.850.67
Dormant− 0.2643.8260.8970.8040.0190.650.20
Entire year− 0.5206.9471.3180.0200.810.670.830.69
  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