Conclusions
We developed a generalizable trait-based approach and provide reproducible code for quantifying pyrodiversity at regional to local scales. This method has several advantages over previous efforts to quantify pyrodiversity: 1) It uses a functional diversity framework that captures multi-dimensional dispersion of pyrodiversity traits. 2) It leverages Landsat imagery and Google Earth engine to measure intra-fire variation anywhere validated severity models exist. While we demonstrate its utility at the regional scale, the 30m resolution of the underlying data also allow calculation of pyrodiversity at scales relevant to point or plot-based biodiversity survey methods. 3) This method allows flexible weighting of individual fire traits and the relative importance of the visible/invisible mosaic. This novel approach, along with an improved understanding of the ultimate drivers of pyrodiversity provides opportunities to more consistently and comprehensively test the influence of pyrodiversity on biodiversity and other ecosystem processes. Doing so across regions, management approaches, and ecological communities will increase our ability to manage fire and conserve biodiversity as fire regimes continue to shift with accelerating global change.