Science Enabled by Specimen Data

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…

Zigler, K., Niemiller, M., Stephen, C., Ayala, B., Milne, M., Gladstone, N., … Cressler, A. (2020). Biodiversity from caves and other sub-terranean habitats of Georgia, USA. Journal of Cave and Karst Studies, 82(2), 125–167. doi:10.4311/2019lsc0125 https://doi.org/10.4311/2019LSC0125

We provide an annotated checklist of species recorded from caves and other subterranean habitats in the state of Georgia, USA. We report 281 species (228 invertebrates and 53 vertebrates), including 51 troglobionts (cave-obligate species), from more than 150 sites (caves, springs, and wells). Endemi…

Rotenberry, J. T., & Balasubramaniam, P. (2020). Connecting species’ geographical distributions to environmental variables: range maps versus observed points of occurrence. Ecography. doi:10.1111/ecog.04871 https://doi.org/10.1111/ecog.04871

Connecting the geographical occurrence of a species with underlying environmental variables is fundamental for many analyses of life history evolution and for modeling species distributions for both basic and practical ends. However, raw distributional information comes principally in two forms: poi…

Smith, J. A., Benson, A. L., Chen, Y., Yamada, S. A., & Mims, M. C. (2020). The power, potential, and pitfalls of open access biodiversity data in range size assessments: Lessons from the fishes. Ecological Indicators, 110, 105896. doi:10.1016/j.ecolind.2019.105896 https://doi.org/10.1016/j.ecolind.2019.105896

Geographic rarity is a driver of a species’ intrinsic risk of extinction. It encompasses multiple key components including range size, which is one of the most commonly measured estimates of geographic rarity. Range size estimates are often used to prioritize conservation efforts when there are mult…

Weterings, R., Barbetti, M., & Buckley, H. L. (2019). Hypothesis: Do invasive house geckos exacerbate dengue fever epidemics? Biological Invasions. doi:10.1007/s10530-019-02066-x https://doi.org/10.1007/s10530-019-02066-x

Dengue fever is a mosquito-borne disease that has undergone a marked rise in incidence since the 1950s, throughout the world’s tropical regions. Here, we present a hypothesis that this rise in incidence may have been exacerbated by the invasion of house geckos, due to their role in the mosquito vect…

Liu, X., Blackburn, T. M., Song, T., Li, X., Huang, C., & Li, Y. (2019). Risks of Biological Invasion on the Belt and Road. Current Biology, 29(3), 499–505.e4. doi:10.1016/j.cub.2018.12.036 https://doi.org/10.1016/j.cub.2018.12.036

China’s Belt and Road Initiative (BRI) is an unprecedented global development program that involves nearly half of the world’s countries [1]. It not only will have economic and political influences, but also may generate multiple environmental challenges and is a focus of considerable academic and p…

Mothes, C. C., Stroud, J. T., Clements, S. L., & Searcy, C. A. (2019). Evaluating ecological niche model accuracy in predicting biotic invasions using South Florida’s exotic lizard community. Journal of Biogeography, 46(2), 432–441. doi:10.1111/jbi.13511 https://doi.org/10.1111/jbi.13511

Aim: Predicting environmentally suitable areas for non‐native species is an important step in managing biotic invasions, and ecological niche models are commonly used to accomplish this task. Depending on these models to enact appropriate management plans assumes their accuracy, but most niche model…