Seems like a useful exercise is to evaluate results from a suite of models that predict the effects of climate change on fuels and wildfire. Multiple models exist, and a model intercomparison that includes both process-based models and empirical models will identify commonality, uncertainties, and gaps in predictions. The intercomparison should assess historical (paleo?) times as well as future times. Multiple challenges exist, so this won't be easy.
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