Science Enabled

Vasconcelos, T., Boyko, J. D., & Beaulieu, J. M. (2021). Linking mode of seed dispersal and climatic niche evolution in flowering plants. Journal of Biogeography. doi:10.1111/jbi.14292 https://doi.org/10.1111/jbi.14292

Aim: Due to the sessile nature of flowering plants, movements to new geographical areas occur mainly during seed dispersal. Frugivores tend to be efficient dispersers because animals move within the boundaries of their preferable niches, so seeds are more likely to be transported to environments tha…

Sirois‐Delisle, C., & Kerr, J. T. (2021). Climate change aggravates non‐target effects of pesticides on dragonflies at macroecological scales. Ecological Applications. doi:10.1002/eap.2494 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 …

Xue, T., Gadagkar, S. R., Albright, T. P., Yang, X., Li, J., Xia, C., … Yu, S. (2021). Prioritizing conservation of biodiversity in an alpine region: Distribution pattern and conservation status of seed plants in the Qinghai-Tibetan Plateau. Global Ecology and Conservation, 32, e01885. doi:10.1016/j.gecco.2021.e01885 https://doi.org/10.1016/j.gecco.2021.e01885

The Qinghai-Tibetan Plateau (QTP) harbors abundant and diverse plant life owing to its high habitat heterogeneity. However, the distribution pattern of biodiversity hotspots and their conservation status remain unclear. Based on 148,283 high-resolution occurrence coordinates of 13,450 seed plants, w…

Sobral-Souza, T., Stropp, J., Santos, J. P., Prasniewski, V. M., Szinwelski, N., Vilela, B., … Hortal, J. (2021). Knowledge gaps hamper understanding the relationship between fragmentation and biodiversity loss: the case of Atlantic Forest fruit-feeding butterflies. PeerJ, 9, e11673. doi:10.7717/peerj.11673 https://doi.org/10.7717/peerj.11673

Background A key challenge for conservation biology in the Neotropics is to understand how deforestation affects biodiversity at various levels of landscape fragmentation. Addressing this challenge requires expanding the coverage of known biodiversity data, which remain to date restricted to a few w…

Díaz, S. S., Carisio, L., Manino, A., Biella, P., & Porporato, M. (2021). Nesting, Sex Ratio and Natural Enemies of the Giant Resin Bee in Relation to Native Species in Europe. Insects, 12(6), 545. doi:10.3390/insects12060545 https://doi.org/10.3390/insects12060545

Megachile sculpturalis (Smith, 1853) is the first exotic bee species in Europe. Its remarkably fast expansion across this continent is leading to a growing concern on the extent of negative impacts to the native fauna. To evaluate the interactions of exotic bees with local wild bees, we set up trap …

Ellestad, P., Forest, F., Serpe, M., Novak, S. J., & Buerki, S. (2021). Harnessing large-scale biodiversity data to infer the current distribution of Vanilla planifolia (Orchidaceae). Botanical Journal of the Linnean Society. doi:10.1093/botlinnean/boab005 https://doi.org/10.1093/botlinnean/boab005

Although vanilla is one of the most popular flavours in the world, there is still uncertainty concerning the native distribution of the species that produces it, Vanilla planifolia. To circumscribe the native geographical extent of this economically important species more precisely, we propose a new…

Ji, Y. (2021). The geographical origin, refugia, and diversification of honey bees (Apis spp.) based on biogeography and niche modeling. Apidologie. doi:10.1007/s13592-020-00826-6 https://doi.org/10.1007/s13592-020-00826-6

An understanding of the origin and formation of biodiversity and distribution patterns can provide a theoretical foundation for biodiversity conservation. In this study, phylogeny and biogeography analyses based on mitochondrial genomes and niche modeling based on occurrence records were performed t…

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…

Polidori, C., & Sánchez-Fernández, D. (2020). Environmental niche and global potential distribution of the giant resin bee Megachile sculpturalis, a rapidly spreading invasive pollinator. Global Ecology and Conservation, 24, e01365. doi:10.1016/j.gecco.2020.e01365 https://doi.org/10.1016/j.gecco.2020.e01365

Since alien species may threaten native ecosystems when becoming invasive, one of the main challenges is try to predict their potential spread. Despite bees are essential pollinators and provide important ecosystem services in their native areas, outside these areas they could represent a risk for t…

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…