Science Enabled by Specimen Data

Orr, M. C., Hughes, A. C., Chesters, D., Pickering, J., Zhu, C.-D., & Ascher, J. S. (2020). Global Patterns and Drivers of Bee Distribution. Current Biology. doi:10.1016/j.cub.2020.10.053 https://doi.org/10.1016/j.cub.2020.10.053

Insects are the focus of many recent studies suggesting population declines, but even invaluable pollination service providers such as bees lack a modern distributional synthesis. Here, we combine a uniquely comprehensive checklist of bee species distributions and >5,800,000 public bee occurrence re…

Benavides, L. R., Pinto-da-Rocha, R., & Giribet, G. (2020). The phylogeny and evolution of the flashiest of the armored harvestmen (Arachnida: Opiliones). Systematic Biology. doi:10.1093/sysbio/syaa080 https://doi.org/10.1093/sysbio/syaa080

Gonyleptoidea, largely restricted to the Neotropics, constitutes the most diverse superfamily of Opiliones and includes the largest and flashiest representatives of this arachnid order. However, the relationships among its main lineages (families and superfamilies) and the timing of their origin are…

Zizka, A., Antunes Carvalho, F., Calvente, A., Rocio Baez-Lizarazo, M., Cabral, A., Coelho, J. F. R., … Antonelli, A. (2020). No one-size-fits-all solution to clean GBIF. PeerJ, 8, e9916. doi:10.7717/peerj.9916 https://doi.org/10.7717/peerj.9916

Species occurrence records provide the basis for many biodiversity studies. They derive from georeferenced specimens deposited in natural history collections and visual observations, such as those obtained through various mobile applications. Given the rapid increase in availability of such data, th…

Li, X., Li, B., Wang, G., Zhan, X., & Holyoak, M. (2020). Deeply digging the interaction effect in multiple linear regressions using a fractional-power interaction term. MethodsX, 7, 101067. doi:10.1016/j.mex.2020.101067 https://doi.org/10.1016/j.mex.2020.101067

In multiple regression Y ~ β0 + β1X1 + β2X2 + β3X1 X2 + ɛ., the interaction term is quantified as the product of X1 and X2. We developed fractional-power interaction regression (FPIR), using βX1M X2N as the interaction term. The rationale of FPIR is that the slopes of Y-X1 regression along the X2 gr…

Hochmair, H. H., Scheffrahn, R. H., Basille, M., & Boone, M. (2020). Evaluating the data quality of iNaturalist termite records. PLOS ONE, 15(5), e0226534. doi:10.1371/journal.pone.0226534 https://doi.org/10.1371/journal.pone.0226534

Citizen science (CS) contributes to the knowledge about species distributions, which is a critical foundation in the studies of invasive species, biological conservation, and response to climatic change. In this study, we assessed the value of CS for termites worldwide. First, we compared the abunda…

Scharff, N., Coddington, J. A., Blackledge, T. A., Agnarsson, I., Framenau, V. W., Szűts, T., … Dimitrov, D. (2019). Phylogeny of the orb‐weaving spider family Araneidae (Araneae: Araneoidea). Cladistics. doi:10.1111/cla.12382 https://doi.org/10.1111/cla.12382

We present a new phylogeny of the spider family Araneidae based on five genes (28S, 18S, COI, H3 and 16S) for 158 taxa, identified and mainly sequenced by us. This includes 25 outgroups and 133 araneid ingroups representing the subfamilies Zygiellinae Simon, 1929, Nephilinae Simon, 1894, and the typ…

Piel, W. H. (2018). The global latitudinal diversity gradient pattern in spiders. Journal of Biogeography, 45(8), 1896–1904. doi:10.1111/jbi.13387 https://doi.org/10.1111/jbi.13387

Aim: The aim of this study was to test the hypothesis that the global latitudinal diversity gradient pattern in spiders is pear‐shaped, with maximum species diversity shifted south of the Equator, rather than egg‐shaped, centred on the equator, this study infers the gradient using two large datasets…