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Progress in Earth and Planetary Science
Fig. 5 | Progress in Earth and Planetary Science

Fig. 5

From: Regional-scale data assimilation with the Spatially Explicit Individual-based Dynamic Global Vegetation Model (SEIB-DGVM) over Siberia

Fig. 5

Spatial correlation coefficients between this study and the previous studies. The upper panels display the scatter plots of GPP of this study against that of FLUXCOM for NODA (a) and TEST (b): the artificial neural network (ANN), multivariate regression splines (MARS), and random forest (RF) (Tramontana et al. 2016; Jung et al. 2017), with the observation threshold of Reichstein et al. (2005). The lower panels display the scatter plots of aboveground biomass of this study against that of Liu et al. (2015) for NODA (c) and TEST (d)

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