Wissenschaft ermöglicht durch Exemplardaten

Hughes, A. C., Orr, M. C., Ma, K., Costello, M. J., Waller, J., Provoost, P., … Qiao, H. (2021). Sampling biases shape our view of the natural world. Ecography. doi:10.1111/ecog.05926 https://doi.org/10.1111/ecog.05926

Spatial patterns of biodiversity are inextricably linked to their collection methods, yet no synthesis of bias patterns or their consequences exists. As such, views of organismal distribution and the ecosystems they make up may be incorrect, undermining countless ecological and evolutionary studies.…

Cooper, N., Bond, A. L., Davis, J. L., Portela Miguez, R., Tomsett, L., & Helgen, K. M. (2019). Sex biases in bird and mammal natural history collections. Proceedings of the Royal Society B: Biological Sciences, 286(1913), 20192025. doi:10.1098/rspb.2019.2025 https://doi.org/10.1098/rspb.2019.2025

Natural history specimens are widely used across ecology, evolutionary biology and conservation. Although biological sex may influence all of these areas, it is often overlooked in large-scale studies using museum specimens. If collections are biased towards one sex, studies may not be representativ…

Oegelund Nielsen, R., da Silva, R., Juergens, J., Staerk, J., Lindholm Sørensen, L., Jackson, J., … Conde, D. A. (2020). Standardized data to support conservation prioritization for sharks and batoids (Elasmobranchii). Data in Brief, 33, 106337. doi:10.1016/j.dib.2020.106337 https://doi.org/10.1016/j.dib.2020.106337

#N/A

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…

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…