## 3 Results
### Comparison of \(\mathrm{SIF_{d}}\) among Vegetation Classes within Biomes
Correlations between Amazon GRA \(\mathrm{SIF_{d}}\) are stronger than SAV and WSAV \(\mathrm{SIF_{d}}\) (Table 1). We found few significant relationships of vegetation class \(\mathrm{SIF_{d}}\) with \(\mathrm{T_{can}}\), \(\mathrm{T_{air}}\), or VPD in the Atlantic Forest, but all those found were positive. Atlantic Forest EBF \(\mathrm{SIF_{d}}\) was significantly related to \(\mathrm{T_{can}}\), \(\mathrm{T_{air}}\), and VPD (r = 0.71, 0.74, and 0.6, \(p<0.001\), respectively; Table 1). WSAV \(\mathrm{SIF_{d}}\) was positively correlated with \(\mathrm{T_{can}}\) and \(\mathrm{T_{air}}\) (r = 0.45, 0.54, \(p<0.001\), respectively (Table 1), but not with VPD. No other correlations among \(\mathrm{SIF_{d}}\) and \(\mathrm{T_{can}}\), \(\mathrm{T_{air}}\), or VPD were found in the Atlantic Forest. In the Caatinga all vegetation classes' \(\mathrm{SIF_{d}}\) were significantly negatively correlated to \(\mathrm{T_{can}}\) (r between \(-0.51\) and \(-0.82\), \(p<0.01\), Table 1) and \(\mathrm{T_{air}}\) (r between \(-0.37\) and \(-0.75\), \(p<0.05\): Table 1) and with VPD (r between \(-0.57\) and \(-0.85\), \(p<0.01\); Table 1). Caatinga \(\mathrm{SIF_{d}}\) in all classes (DBF, EBF, GRA, SAV, WSAV) had the strongest relationship with VPD (r = \(-0.57\), \(-0.71\), \(-0.85\), \(-0.81\), and \(-0.77\), \(p<0.001\), respectively; Table 1) followed by \(\mathrm{T_{can}}\) (r = \(-0.51\)\(p<0.01\), r = \(-0.69\), \(-0.82\), \(-0.85\), \(-0.78\), and \(-0.74\), \(p<0.001\), respectively: Table 1), then \(\mathrm{T_{air}}\) (r = \(-0.37\)\(p<0.01\), r = \(-0.57\), \(-0.75\), \(-0.73\), and \(-0.66\), \(p<0.001\), respectively; Table 1). Caatinga DBF \(\mathrm{SIF_{d}}\) has the weakest correlations with \(\mathrm{T_{can}}\)  
Figure 4: Differences in monthly mean \(\mathrm{SIF_{d}}\) among vegetation classes within each biome. Boxplots representing the minimum, 1 st quartile, mean, 3 rd quartile, and maximum \(\mathrm{SIF_{d}}\), for vegetation classes in each Brazilian biome are shown. Outliers are represented by dots. Significant differences in means indicated by group symbols A, B, C.  
T\({}_{\rm air}\) and VPD of the vegetation classes in the Caatinga. T\({}_{\rm can}\), T\({}_{\rm air}\), and VPD relationship strengths are more similar for EBF, GRA, SAV, and WSAV SIF\({}_{\rm d}\) in the Caatinga than for DBF and EBF SIF\({}_{\rm d}\) with T\({}_{\rm can}\), T\({}_{\rm air}\). Relationships of vegetation class SIF\({}_{\rm d}\) with climatic variables are similar in the Cerrado to those in the Caatinga and the ranges of values for T\({}_{\rm can}\), T\({}_{\rm air}\), and VPD are more similar for the Caatinga and Cerrado than for the other biomes (Table 1, Figures S2-S4). In the Cerrado, all vegetation class' SIF\({}_{\rm d}\) are significantly negatively correlated with T\({}_{\rm can}\), T\({}_{\rm air}\) and VPD (r between \(-0.50\) and \(-0.80\), \(p<0.01\); Table 1). Correlations of Cerrado SIF\({}_{\rm d}\) are strongest between VPD and SIF\({}_{\rm d}\) (VPD: r between \(-0.69\) and \(-0.80\), \(p<0.001\): Table 1) in every vegetation class, followed by T\({}_{\rm can}\) (r between \(-0.52\) and \(-0.70\), \(p<0.01\)), then T\({}_{\rm air}\) (r between \(-0.50\) and \(-0.61\), \(p<0.01\); Table 1). The Cerrado SIF\({}_{\rm d}\) relationships deviate from the Caatinga in that Cerrado EBF SIF\({}_{\rm d}\) has weaker relationships with all variables (T\({}_{\rm can}\), T\({}_{\rm air}\), and VPD) than the other classes' SIF\({}_{\rm d}\), while we found that DBF SIF\({}_{\rm d}\) had the weakest relationships with variables for all classes. In the Pampa, all vegetation class' SIF\({}_{\rm d}\) are significantly positively correlated with T\({}_{\rm can}\), T\({}_{\rm air}\) and VPD (r between 0.46 and 0.83, \(p<0.01\); Table 1) in contrast to the negative correlations to T\({}_{\rm can}\), T\({}_{\rm air}\), and VPD found for all vegetation classes' SIF\({}_{\rm d}\) in the Caatinga and Cerrado.