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Advances in computing, statistics, and technology over the past few decades has resulted in the accumulation of massive amounts of biodiversity data, as well as novel methods for using and integrating them (Miller et al. 2019). Data that have been collected for decades or even centuries can now be analyzed and applied in brand new ways. These data include alternative sources of information such as citizen science (also called community science) programs (Butcher et al. 1990, Sullivan et al. 2014, Hudson et al. 2017). In the midst of a global biodiversity crisis, these databases may hold the key to detecting important obstacles and threats to conservation, as well as determining the best interventions before it is too late. The ecological processes in question frequently occur across broad spatial and temporal scales; migratory species’ ranges can span thousands of kilometers, and the impacts of threats such as …