| Summary: | Additive diversity partitioning (α, β, and γ) is commonly used to study the distribution of species-level diversity across spatial scales. Here, we first investigate whether published studies of additive diversity partitioning show signs of difficulty attaining species-level resolution due to inherent limitations with morphological identifications. Second, we present a DNA barcoding approach in order to delineate specimens of stream caddisfly larvae (order Trichoptera) and considered the importance of taxonomic resolution on classical (additive) measures of beta (β) diversity. Caddisfly larvae were sampled using a hierarchical spatial design in two regions (sub-Arctic Churchill, Manitoba, Canada; temperate Pennsylvania, USA) and then additively partitioned according to Barcode Index Numbers (molecular clusters that serve as a proxy for species), genus, and family levels; diversity components were expressed as proportional species turnover. We screened 114 articles of additive diversity partitioning and found that a third reported difficulties with achieving species-level identifications, with a clear taxonomic tendency towards challenges identifying invertebrate taxa. Regarding our own study, caddisfly BINs appeared to show greater sub-regional turnover (e.g. proportional additive β) compared to genus or family levels. Diversity component studies failing to achieve species resolution due to morphological identifications may therefore be underestimating diversity turnover at larger spatial scales. Bringloe et al.-Trichoptera density data site*taxonThis file contains site*taxon density data for Trichoptera sampled in sub-Arctic Churchill (Canada) and temperate Pennsylvania. Included is a sheet on environmental information from the time of sampling. Note species names may have since been revised, but BIN numbers are included so users can check for updates in the Barcode of Life Datasystems (BOLD). The BOLD project doi where specimen and sequence information is also available is dx.doi.org/10.5883/DS-LTLCP.Density ...
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