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The study examines the connection between the Atlantic Multidecadal  Oscillation (AMO) and the forest fires (the annual number of fires, the  annual burned area and the average burned area per fire) in France in the  period 1980-2014. In order to determine the strength of the correlation  connection Pearson correlation coefficient (R) was used. Monthly, seasonal  and annual values of AMO were used in calculations, and one year phase shift  was performed (the values for the previous year were used). In burned area  the highest values of R on the monthly level were recorded for April (-0.474)  and January (-0.470), and on the seasonal level for winter (-0.459) and  spring (-0.447). These values are statistically significant at the level of  p≤0.01. By phase shifting the highest level of correlation was obtained for  the autumn (-0.489). In the average burned area per fire on a monthly level  the highest value of R was for January (-0.522), and on seasonal for winter  (-0.506). By phase shifting the highest value of R was obtained for autumn  (-0.522). In the number of fires the highest values were recorded by phase  shifting for September (-0.382) and autumn (-0.337). All R values recorded  during the study had a negative sign (the correlation is antiphase). In  addition, downward trends were determined for all three examined indicators  of forest fires in the researched period (1980-2014). Results of the research  could be used as a basis for the long-term forecast of the risk of forest  fires, and the approach used in the research could be applied for the other  areas of the world. However, the more detailed research of the effects of  other teleconnections are necessary. [Projekat Ministarstva nauke Republike  Srbije, br. 47007 III]

The Atlantic Multidecadal Oscillation (AMO) and the forest fires in France in the period 1980-2014