Science Enabled by Specimen Data

Daniel, J., Horrocks, J., & Umphrey, G. J. (2019). Efficient Modelling of Presence-Only Species Data via Local Background Sampling. Journal of Agricultural, Biological and Environmental Statistics. doi:10.1007/s13253-019-00380-4 https://doi.org/10.1007/s13253-019-00380-4

In species distribution modelling, records of species presence are often modelled as a realization of a spatial point process whose intensity is a function of environmental covariates. One way to fit a spatial point process model is to apply logistic regression to an artificial case–control sample c…

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…