Fig. 2: Importance of variables influencing OPD and relationships between drivers and OPD for each region based on observations from the literatures in 2000-2021. | Nature Communications

Fig. 2: Importance of variables influencing OPD and relationships between drivers and OPD for each region based on observations from the literatures in 2000-2021.

From: China can be self-sufficient in maize production by 2030 with optimal crop management

Fig. 2

a The relative importance of variables influencing OPD in this study. The rows show the results for each region (NE: Northeast China, NCP: North China Plain, NW: Northwest China, SW: Southwest China). The circle size should be compared only within a row. The importance of each variable is expressed as the mean increase in prediction error (that is, the increase in mean square error, %IncMSE) with predictor omitted, scaled to sum to 100% for each analysis. The symbols + and − indicate positive and negative effects of the variables on OPD, respectively. The asterisks indicate the statistical significance of the effect (*P < 0.05; ** P < 0.01; ***P < 0.001). The best fitted functions for relationship between OPD and each driver are shown in b–g for all significant relationships. Panels represent Tmin (b), Tmax (c), Radiation (d), Precipitation (e), GDD (f), and SOM (g). Statistical significance is obtained with a two-tailed Student’s t test. Source data are provided as a Source Data file.

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