Pyrodiversity – spatiotemporal variation of characteristics within a fire regime – plays an important role in structuring wildlife communities after fire, yet there is a need to better incorporate pyrodiversity into predictive models of animal distributions and abundance. For species that associated with post-fire forests, predictive models often must be implemented rapidly to guide time-sensitive decisions about where and how to manage forests following fire. Black-backed woodpeckers are species of conservation concern that are strongly associated with post-fire forests, and emerging evidence on the importance of pyrodiversity for this species highlights the need for updated management approaches. Our objectives were to leverage a long- term dataset of annual black-backed woodpecker surveys to assess the relationship between occupancy and pyrodiversity and to integrate this new information into predictive models for habitat management after fire. We show that black-backed woodpecker occupancy responds positively to increased pyrodiversity in the montane conifer forests of California. In addition, we found that the relationship between occupancy and high burn severity changes over time, with strong positive effects shortly after fire diminishing to largely neutral effects by ten years after fire. These results demonstrate the importance of pyrodiversity for this species and support the hypothesis that particularly large, severe megafires may pose a threat to black-backed woodpecker populations. We incorporated these relationships into an integrated space-use and occupancy model that can be used to predict black-backed woodpecker density and abundance rapidly after fire – without requiring lengthy on-the-ground surveys. To make this decision- support tool more available to managers, we built an online "Shiny" application to run this model using a point-and-click interface to produce management-friendly data products within minutes.