Science Rendue Possible
Sirois‐Delisle, C., and J. T. Kerr. 2021. Climate change aggravates non‐target effects of pesticides on dragonflies at macroecological scales. Ecological Applications 32. https://doi.org/10.1002/eap.2494
Critical gaps in understanding how species respond to environmental change limit our capacity to address conservation risks in a timely way. Here, we examine the direct and interactive effects of key global change drivers, including climate change, land use change, and pesticide use, on persistence …
Koch, J. B. U., J. A. Tabor, K. Montoya-Aiona, and J. A. Eiben. 2021. The Invasion of Megachile policaris (Hymenoptera: Megachilidae) to Hawai‘i K. Godfrey [ed.],. Journal of Insect Science 21. https://doi.org/10.1093/jisesa/ieab065
Islands are insular environments that are negatively impacted by invasive species. In Hawai‘i, at least 21 non-native bees have been documented to date, joining the diversity of >9,000 non-native and invasive species to the archipelago. The goal of this study is to describe the persistence, genet…
Moore, M. P., K. Hersch, C. Sricharoen, S. Lee, C. Reice, P. Rice, S. Kronick, et al. 2021. Sex-specific ornament evolution is a consistent feature of climatic adaptation across space and time in dragonflies. Proceedings of the National Academy of Sciences 118. https://doi.org/10.1073/pnas.2101458118
Adaptation to different climates fuels the origins and maintenance of biodiversity. Detailing how organisms optimize fitness for their local climates is therefore an essential goal in biology. Although we increasingly understand how survival-related traits evolve as organisms adapt to climatic condi…
Hemberger, J., M. S. Crossley, and C. Gratton. 2021. Historical decrease in agricultural landscape diversity is associated with shifts in bumble bee species occurrence C. Scherber [ed.],. Ecology Letters 24: 1800–1813. 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…
Murray, E. A., L. Evanhoe, S. Bossert, M. A. Geber, T. Griswold, and S. M. McCoshum. 2021. Phylogeny, Phenology, and Foraging Breadth ofAshmeadiella(Hymenoptera: Megachilidae) E. Almeida [ed.],. Insect Systematics and Diversity 5. https://doi.org/10.1093/isd/ixab010
Ashmeadiella Cockerell (Megachilidae: Osmiini) is a bee genus endemic to North America, with greatest richness in arid and Mediterranean regions of the southwestern United States. Species relationships of Ashmeadiella were last analyzed in the 1950s, when Robert Sokal and Charles Michener developed …
Tabor, J. A., and J. B. Koch. 2021. Ensemble Models Predict Invasive Bee Habitat Suitability Will Expand under Future Climate Scenarios in Hawai’i. Insects 12: 443. https://doi.org/10.3390/insects12050443
Climate change is predicted to increase the risk of biological invasions by increasing the availability of climatically suitable regions for invasive species. Endemic species on oceanic islands are particularly sensitive to the impact of invasive species due to increased competition for shared resou…
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…
[NO TITLE AVAILABLE] https://doi.org/10.7679/j.issn.2095-1353.2019.022
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…
Deb, J. C., G. Forbes, and D. A. MacLean. 2020. Modelling the spatial distribution of selected North American woodland mammals under future climate scenarios. Mammal Review 50: 440–452. https://doi.org/10.1111/mam.12210
North America has a diverse array of mammalian species. Model projections indicate significant variations in future climate conditions of North America, and the habitats of woodland mammals of this continent may be particularly sensitive to changes in climate.We report on the potential spatial distr…