Fig. 1: Global \({{{{{{\boldsymbol{V}}}}}}}_{{{{{{{\boldsymbol{c}}}}}}}_{{{{{{\bf{max }}}}}}}}^{{{{{{\boldsymbol{25}}}}}}}\) and the fraction of leaf nitrogen invested in RuBisCO (fLNR). | Nature Communications

Fig. 1: Global \({{{{{{\boldsymbol{V}}}}}}}_{{{{{{{\boldsymbol{c}}}}}}}_{{{{{{\bf{max }}}}}}}}^{{{{{{\boldsymbol{25}}}}}}}\) and the fraction of leaf nitrogen invested in RuBisCO (fLNR).

From: Global variation in the fraction of leaf nitrogen allocated to photosynthesis

Fig. 1: Global 
                      
                        
                      
                      $${{{{{{\boldsymbol{V}}}}}}}_{{{{{{{\boldsymbol{c}}}}}}}_{{{{{{\bf{max }}}}}}}}^{{{{{{\boldsymbol{25}}}}}}}$$
                      
                        
                          
                            V
                          
                          
                            
                              
                                c
                              
                              
                                max
                              
                            
                          
                          
                            25
                          
                        
                      
                     and the fraction of leaf nitrogen invested in RuBisCO (fLNR).

a The relationship (type-II regression) between observed in situ \({V}_{{c}_{{\max }}}^{25}\) and \({V}_{{c}_{{\max }}}^{25}\) estimated by a random forest model (RF) on a 0.5-degree grid; (b) the global distribution of \({V}_{{c}_{{\max }}}^{25}\) (μmol m−2 s−1) estimated by RF using global gridded environmental covariates; (c) the spatial correlation between RF \({V}_{{c}_{{\max }}}^{25}\) and the estimates of seven competing \({V}_{{c}_{{\max }}}^{25}\) models, including five empirical \({V}_{{c}_{{\max }}}^{25}\) models (EM1 to EM5) and two optimal \({V}_{{c}_{{\max }}}^{25}\) models (EO and LUNA); (d) the global distribution of RF fLNR (%). The maps in (b) and (d) were created by the authors using a Matlab package M_Map (see “Code availability statement”).

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