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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.  \section{Concluding remarks}