Science Enabled by Specimen Data

Ritter, C. D., Faurby, S., Bennett, D. J., Naka, L. N., ter Steege, H., Zizka, A., … Antonelli, A. (2019). The pitfalls of biodiversity proxies: Differences in richness patterns of birds, trees and understudied diversity across Amazonia. Scientific Reports, 9(1). doi:10.1038/s41598-019-55490-3 https://doi.org/10.1038/s41598-019-55490-3

Most knowledge on biodiversity derives from the study of charismatic macro-organisms, such as birds and trees. However, the diversity of micro-organisms constitutes the majority of all life forms on Earth. Here, we ask if the patterns of richness inferred for macro-organisms are similar for micro-or…

Ezray, B. D., Wham, D. C., Hill, C. E., & Hines, H. M. (2019). Unsupervised machine learning reveals mimicry complexes in bumblebees occur along a perceptual continuum. Proceedings of the Royal Society B: Biological Sciences, 286(1910), 20191501. doi:10.1098/rspb.2019.1501 https://doi.org/10.1098/rspb.2019.1501

Müllerian mimicry theory states that frequency-dependent selection should favour geographical convergence of harmful species onto a shared colour pattern. As such, mimetic patterns are commonly circumscribed into discrete mimicry complexes, each containing a predominant phenotype. Outside a few exam…

Guevara, L., & Sánchez-Cordero, V. (2018). New records of a critically endangered shrew from Mexican cloud forests (Soricidae, Cryptotis nelsoni) and prospects for future field research. Biodiversity Data Journal, 6. doi:10.3897/bdj.6.e26667 https://doi.org/10.3897/BDJ.6.e26667

The Nelson´s small-eared shrew, Cryptotisnelsoni (Merriam, 1895), is a critically endangered species, endemic to cloud forests in Los Tuxtlas, a mountain range along the Gulf of Mexico coast. This species is only known from the type locality and its surroundings. Here we present new records that ext…