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This study has investigated the variability of seasonal wildfire potential in Ecuador and its relationship with ENSO phases. Using a seasonal metric of wildfire potential—cumulative FFDI during the season July-August-September—, this study detected that five extreme seasons occurred during the period 1963-2012. An extreme season was defined as any year with a seasonal FFDI greater than the 90th percentile value. Most of these seasons—four out of five—occurred during diverse categories of El Niño strength—from weak to very strong—. On the other hand, the 2012 season—one of the most catastrophic—occurred during a La Niña event. Overall, a closer relationship between seasonal wildfire potential and El Niño events agrees with previous findings.   The El Niño events in the Tropical Andes produce a below-average precipitation pattern \cite{Garreaud2009}. Yet, this response is not uniform in the Ecuadorian Andes \cite{Villacis2003}. No relationship exists between ENSO and precipitation during the wet season (October-May) \cite{Villacis2003}. Yet, there is a consistent trend with below-average precipitation during the dry season (June-August) \cite{Villacis2003}. This may occur because precipitation has some Atlantic influence as well \cite{Vuille_2000}. Additionally, ENSO can largely explain the inter-annual variability of temperature \cite{Vuille_2000}. El Niño events are associated with higher temperatures in most of the Ecuadorian Andes \cite{Vuille_2000}. However, these studies relied on a relatively short period —approximately 30 years— of weather station data. Additionally, they include only some wildfire variables —temperature and precipitation—. In spite of this, they show a consistent agreement on the effect of El Niño over environmental conditions conducive to wildfires.  Most of these studies also agree that there is potential to use ENSO to design seasonal forecasting wildfire tools \cite{Simard1985a,Nicholls2007a,Wooster2012,Harris2013}. In fact, a predictive index has already been proposed for the Norhtern Patagonia region in Argentina \cite{Kitzberger2002}. However, as acknowledged by the author, the use of statistical-empirical methods to investigate seasonal wildfire predictability have limitations. For example, the assumption of stable ENSO phase's relationships over a long period of time. Another important assumption to consider is the fixed timing of ENSO arrival. In spite of this, simple indexes can also provide valuable information to decision makers.