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…

De Jesús Hernández-Hernández, M., Cruz, J. A., & Castañeda-Posadas, C. (2020). Paleoclimatic and vegetation reconstruction of the miocene southern Mexico using fossil flowers. Journal of South American Earth Sciences, 104, 102827. doi:10.1016/j.jsames.2020.102827 https://doi.org/10.1016/j.jsames.2020.102827

Concern about the course of the current environmental problems has raised interest in investigating the different scenarios that have taken place in our planet throughout time. To that end, different methodologies have been employed in order to determine the different variables that compose the envi…

Oyinlola, M. A., Reygondeau, G., Wabnitz, C. C. C., & Cheung, W. W. L. (2020). Projecting global mariculture diversity under climate change. Global Change Biology. doi:10.1111/gcb.14974 https://doi.org/10.1111/gcb.14974

Previous studies have focused on changes in the geographical distribution of terrestrial biomes and species targeted by marine capture fisheries due to climate change impacts. Given mariculture’s substantial contribution to global seafood production and its growing significance in recent decades, it…

Saeedi, H., & Costello, M. (2019). A world dataset on the geographic distributions of Solenidae razor clams (Mollusca: Bivalvia). Biodiversity Data Journal, 7. doi:10.3897/bdj.7.e31375 https://doi.org/10.3897/bdj.7.e31375

Background: Using this dataset, we examined the global geographical distributions of Solenidae species in relation to their endemicity, species richness and latitudinal ranges and then predicted their distributions under future climate change using species distribution modelling techniques (Saeedi e…