Quantifying species composition and richness is a fundamental step for assessing the status of local and regional biodiversity (Matias et al., 2017). However, required data for such quantifications are often unavailable at the relevant temporal, spatial and taxonomic resolutions (Altermatt et al., 2020). Complexities associated with varying detection probabilities and (mis)identifications further plague assessments, particularly when addressing finer levels of taxonomic resolution (McGill et al., 2015). Morphological identification to the level of species or genus can be difficult (Hajibabaei et al., 2011), especially for invertebrates requiring adult stage observations for correct identification to species level. This process generally necessitates specialized taxonomic expertise, which is scarce and timeconsuming. For these reasons, biodiversity assessments often recur to classifications at coarse taxonomic levels (Elbrecht et al., 2017). Spatial differences in β-diversity can be detected using taxonomic classifications at genera or family level (Terlizzi et al., 2009), but