Fig. 9

Pearson correlation coefficients (r) of linear regressions of monthly total burnt area anomalies against a monthly maximum temperature anomalies and b and monthly VPD anomalies. For each correlation plot the top panel shows the results of summer correlations, using only values from February and March and the lower panel shows the results of the winter correlations, using only values from August and September. A linear regression was calculated for each 0.5° pixel (383 pixels) of the W5E5v2.0 product, which represented a unique mean annual precipitation bin, and each point in the correlation plots shows the correlation coefficient (r; y-axis) of the regression at each one of these 383 pixels vs. the mean annual precipitation of the pixel (x-axis). Values with p-value over or equal to 0.05 are shown in black. Values with p-value below 0.05 are shown with the color of the pixel’s dominant land cover by 2019. The monthly burnt area anomalies were calculated using the 2001–2019 average monthly burnt area as the baseline. The monthly mean Tmax and VPD anomalies were calculated using the 2001–2019 average for each month as the baseline