Science Enabled by Specimen Data

Azevedo, J. A. R., T. B. Guedes, C. de C. Nogueira, P. Passos, R. J. Sawaya, A. L. C. Prudente, F. E. Barbo, et al. 2019. Museums and cradles of diversity are geographically coincident for narrowly distributed Neotropical snakes. Ecography 43: 328–339. https://doi.org/10.1111/ecog.04815

Factors driving the spatial configuration of centres of endemism have long been a topic of broad interest and debate. Due to different eco‐evolutionary processes, these highly biodiverse areas may harbour different amounts of ancient and recently diverged organisms (paleo‐ and neo‐endemism, respecti…

Orr, M. C., A. C. Hughes, D. Chesters, J. Pickering, C.-D. Zhu, and J. S. Ascher. 2021. Global Patterns and Drivers of Bee Distribution. Current Biology 31: 451-458.e4. https://doi.org/10.1016/j.cub.2020.10.053

Insects are the focus of many recent studies suggesting population declines, but even invaluable pollination service providers such as bees lack a modern distributional synthesis. Here, we combine a uniquely comprehensive checklist of bee species distributions and >5,800,000 public bee occurrence re…

随机森林(Random forest)模型在2001年发表后得到广泛的关注。由于随机森林可以进行回归和判别等多种统计分析,而且不受正态性、方差齐性和自变量独立性等参数检验的前提条件的制约,其应用日益普遍,有被看作万能模型的趋势。实际上,随机森林是一种特点鲜明的模型,应用局部优化拟合观察值,在分析有偏效应关系的数据时,其结果往往不准确。本文以蝉科(Cicadidea)物种的分布数据为例,比较了随机森林在回归分析时与多元线性回归、广义可加模型和人工神经网络模型的差别,在判别分析时与线性判别分析的差别,强调了随机森林预测时的碎片化特点。结果显示随机森林在处理有多元共线性和交互作用的数据时,以及在判别…

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…

Ezray, B. D., D. C. Wham, C. E. Hill, and H. M. Hines. 2019. Unsupervised machine learning reveals mimicry complexes in bumblebees occur along a perceptual continuum. Proceedings of the Royal Society B: Biological Sciences 286: 20191501. https://doi.org/10.1098/rspb.2019.1501

Müllerian mimicry theory states that frequency-dependent selection should favour geographical convergence of harmful species onto a shared colour pattern. As such, mimetic patterns are commonly circumscribed into discrete mimicry complexes, each containing a predominant phenotype. Outside a few exam…

Ureta, C., Á. P. Cuervo-Robayo, E. Calixto-Pérez, C. González-Salazar, E. Fuentes-Conde, et al. 2018. A first approach to evaluate the vulnerability of islands’ vertebrates to climate change in Mexico. Atmósfera 31: 251–254. https://doi.org/10.20937/ATM.2018.31.03.03

Mexican islands are one of the most diverse territories in the world and consequently their conservation should be a national and international priority. Three main threats to islands’ diversity have been detected: invasive species, land use change and climate change. Most studies have been focused …

Antonelli, A., A. Zizka, F. A. Carvalho, R. Scharn, C. D. Bacon, D. Silvestro, and F. L. Condamine. 2018. Amazonia is the primary source of Neotropical biodiversity. Proceedings of the National Academy of Sciences 115: 6034–6039. https://doi.org/10.1073/pnas.1713819115

The American tropics (the Neotropics) are the most species-rich realm on Earth, and for centuries, scientists have attempted to understand the origins and evolution of their biodiversity. It is now clear that different regions and taxonomic groups have responded differently to geological and climati…

Guedes, T. B., R. J. Sawaya, A. Zizka, S. Laffan, S. Faurby, R. A. Pyron, R. S. Bérnils, et al. 2017. Patterns, biases and prospects in the distribution and diversity of Neotropical snakes. Global Ecology and Biogeography 27: 14–21. https://doi.org/10.1111/geb.12679

Motivation: We generated a novel database of Neotropical snakes (one of the world’s richest herpetofauna) combining the most comprehensive, manually compiled distribution dataset with publicly available data. We assess, for the first time, the diversity patterns for all Neotropical snakes as well as…