Station.

France. Abstract—The relative importance of variables in determining area burned is an im-portant management consideration although gaining insights from existing empirical data has proven diffi cult. The purpose of this study was to compare the sensitivity of modeled area burned to environmental factors across a range of independently-de-veloped landscape-fi re-succession models. The sensitivity of area burned to variation in four factors, namely terrain (fl at, undulating and mountainous), fuel pattern (fi nely and coarsely clumped), climate (observed, warmer & wetter, and warmer & drier) and weather (year-to-year variability) was determined for four existing landscape-fi re-suc-cession models (EMBYR, FIRESCAPE, LANDSUM, and SEM-LAND) and a new model implemented in the LAMOS modelling shell (LAMOS(DS)). Sensitivity was measured as the variance in area burned explained by each of the four factors, and all of the interactions amongst them, in a standard generalised linear modelling analysis. Mod-eled area burned was most sensitive to climate and variation in weather, with fou