Fig. 8

Pearson correlation coefficients (r) of linear regressions of monthly total burnt area anomalies and 3-month accumulated precipitation anomalies. The top panel shows the results of summer correlations, using only values from February and March. The mid panel shows the results of the winter correlations, using only values from August and September. The bottom panel contains the precipitation histogram of the 0.5° resolution W5E5v2.0 product combined for the Wet and Dry Chaco, displaying the number of 250-m pixels from the FireCCI51 product that were found within each precipitation bin. A linear regression was calculated for each 0.5° pixel (383 pixels), which represented a unique mean annual precipitation bin, and each point in the correlation plots show the correlation coefficient (r) of the regression at each one of these 383 pixels. 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 3-month accumulated precipitation anomalies were calculated at each month, using the 2001–2019 average 3-month accumulated rain for each month as the baseline