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Studies of landscape change are seldom conducted at scales commensurate with the processes they purport to investigate. Landscape change is a landscape‐level process, yet most studies focus on patches. Even when landscape context is considered, inference remains at the patch‐level. The unit of investigation must be extended beyond individual patches to whole mosaics in order to advance understanding of faunal responses to landscape change.

In this study, we aggregated data from multiple sites per landscape such that both the response and explanatory variables characterized ‘whole’ landscapes, allowing for landscape‐level inference about factors influencing species’ incidence.

We used hierarchical partitioning and Bayesian variable selection methods to develop species‐specific models that examined the influence of four categories of landscape properties – habitat extent, habitat …