Science Enabled by Specimen Data

Ethier, J. P., Fayard, A., Soroye, P., Choi, D., Mazerolle, M. J., & Trudeau, V. L. (2021). Life history traits and reproductive ecology of North American chorus frogs of the genus Pseudacris (Hylidae). Frontiers in Zoology, 18(1). doi:10.1186/s12983-021-00425-w https://doi.org/10.1186/s12983-021-00425-w

Amphibian biodiversity is declining globally, with over 40% of species being considered threatened to become extinct. Crucial to the success of conservation initiatives are a comprehensive understanding of life history and reproductive ecology of target species. Here we provide an overview of the Ps…

Johnston, M. A., & Cortés Hernández, K. (2021). Notes on Stenochiini Kirby, 1837 genera and species from western North America (Coleoptera: Tenebrionidae). Dugesiana, 28(2), 81–87. doi:10.32870/dugesiana.v28i2.7144 https://doi.org/10.32870/dugesiana.v28i2.7144

Hemberger, J., Crossley, M. S., & Gratton, C. (2021). Historical decrease in agricultural landscape diversity is associated with shifts in bumble bee species occurrence. Ecology Letters. doi:10.1111/ele.13786 https://doi.org/10.1111/ele.13786

Agricultural intensification is a key suspect among putative drivers of recent insect declines, but an explicit link between historical change in agricultural land cover and insect occurrence is lacking. Determining whether agriculture impacts beneficial insects (e.g. pollinators), is crucial to enh…

Inman, R., Franklin, J., Esque, T., & Nussear, K. (2021). Comparing sample bias correction methods for species distribution modeling using virtual species. Ecosphere, 12(3). doi:10.1002/ecs2.3422 https://doi.org/10.1002/ecs2.3422

A key assumption in species distribution modeling (SDM) with presence‐background (PB) methods is that sampling of occurrence localities is unbiased and that any sampling bias is proportional to the background distribution of environmental covariates. This assumption is rarely met when SDM practition…

Azevedo, J. A. R., Guedes, T. B., Nogueira, C. de C., Passos, P., Sawaya, R. J., Prudente, A. L. C., … Antonelli, A. (2019). Museums and cradles of diversity are geographically coincident for narrowly distributed Neotropical snakes. Ecography, 43(2), 328–339. doi:10.1111/ecog.04815 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…

Andersen, D., Borzée, A., & Jang, Y. (2021). Predicting global climatic suitability for the four most invasive anuran species using ecological niche factor analysis. Global Ecology and Conservation, 25, e01433. doi:10.1016/j.gecco.2020.e01433 https://doi.org/10.1016/j.gecco.2020.e01433

Invasive species have a massive impact on their environment and predicting geographical zones at risk of invasion is paramount to the control of further invasions. Invasive anurans are particularly detrimental to native amphibian species, other vertebrates, and even aquaculture through competition, …

Orr, M. C., Hughes, A. C., Chesters, D., Pickering, J., Zhu, C.-D., & Ascher, J. S. (2020). Global Patterns and Drivers of Bee Distribution. Current Biology. doi:10.1016/j.cub.2020.10.053 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…

Seaborn, T., Goldberg, C. S., & Crespi, E. J. (2020). Drivers of distributions and niches of North American cold‐adapted amphibians: evaluating both climate and land use. Ecological Applications. doi:10.1002/eap.2236 https://doi.org/10.1002/eap.2236

Species distribution estimates are often used to understand the niche of a species; however, these are often based solely on climatic predictors. When the influences of biotic factors are ignored, erroneous inferences about range and niche may be made. We aimed to integrate climate data with a uniqu…

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…