Wissenschaft ermöglicht durch Exemplardaten
Fanelli, A., and D. Buonavoglia. 2021. Risk of Crimean Congo haemorrhagic fever virus (CCHFV) introduction and spread in CCHF-free countries in southern and Western Europe: A semi-quantitative risk assessment. One Health 13: 100290. https://doi.org/10.1016/j.onehlt.2021.100290
Crimean-Congo hemorrhagic fever (CCHF) is a severe tick-borne viral zoonotic disease caused by Crimean-Congo hemorrhagic fever virus (CCHFV). The disease is usually asymptomatic in domestic and wild animals, both of which may act as reservoirs of the virus. CCHF is endemic in parts of Africa, Asia, …
Cooper, N., A. L. Bond, J. L. Davis, R. Portela Miguez, L. Tomsett, and K. M. Helgen. 2019. Sex biases in bird and mammal natural history collections. Proceedings of the Royal Society B: Biological Sciences 286: 20192025. 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…
Li, X., B. Li, G. Wang, X. Zhan, and M. Holyoak. 2020. Deeply digging the interaction effect in multiple linear regressions using a fractional-power interaction term. MethodsX 7: 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…
Rotenberry, J. T., and P. Balasubramaniam. 2020. Connecting species’ geographical distributions to environmental variables: range maps versus observed points of occurrence. Ecography 43: 897–913. 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…
Liu, X., T. M. Blackburn, T. Song, X. Li, C. Huang, and Y. Li. 2019. Risks of Biological Invasion on the Belt and Road. Current Biology 29: 499-505.e4. 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…