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…

Chollett, I., & Robertson, D. R. (2020). Comparing biodiversity databases: Greater Caribbean reef fishes as a case study. Fish and Fisheries. doi:10.1111/faf.12497 https://doi.org/10.1111/faf.12497

There is a widespread need for reliable biodiversity databases for science and conservation. Among the many public databases available, we lack guidance as to how their data quality varies. Here, we compare species distribution data for a well known regional reef fish fauna extracted from five globa…

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…