Before revision:  While manipulated fire return interval and seasonality moderated both fire spread rate and intensity, their overall effects were low in comparison with meteorological (hydrological and climatic) variables  . Predicting fire spread rate and intensity has been a poor endeavour thus far and we show that more data of the variables already monitored would not result in higher predictive accuracy.
After revision:  While manipulated fire return interval and seasonality moderated both fire spread rate and intensity, their overall effects were low in comparison with meteorological (hydrological and climatic) variables . The variables with the highest feature importance regarding fire spread rate resulted in fuel moisture with 21\%, relative humidity with 15\%, wind speed with 14\%, and last years rainfall with 14\%. The variables with the highest feature importance regarding fire intensity included fuel load with 21.5\%, fuel moisture with 16.5\%, relative humidity with 12.5\%, air temperature with 12.5\%, and rainfall with 12.5\% . Predicting fire spread rate and intensity has been a poor endeavour thus far and we show that more data of the variables already monitored would not result in higher predictive accuracy.