Ciência habilitada por dados de espécimes

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…

Moudrý, V., and R. Devillers. 2020. Quality and usability challenges of global marine biodiversity databases: An example for marine mammal data. Ecological Informatics 56: 101051. https://doi.org/10.1016/j.ecoinf.2020.101051

Knowing spatial and temporal patterns of species distribution is paramount to support marine species persistence. While datasets provided by global aggregators are increasingly rich and useful, they suffer from various types of data quality issues that can impact their usage. Using marine mammals as…

Menegotto, A., T. F. Rangel, J. Schrader, P. Weigelt, and H. Kreft. 2019. A global test of the subsidized island biogeography hypothesis A. M. C. dos Santos [ed.],. Global Ecology and Biogeography 29: 320–330. https://doi.org/10.1111/geb.13032

Aim: The decreasing capacity of area to predict species richness on small islands (the small‐island effect; SIE) seems to be one of the few exceptions of the species–area relationship. While most studies have focused on how to detect the SIE, the underlying ecological factors determining this patter…