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Marshall, B. M., C. T. Strine, C. S. Fukushima, P. Cardoso, M. C. Orr, and A. C. Hughes. 2022. Searching the web builds fuller picture of arachnid trade. Communications Biology 5. https://doi.org/10.1038/s42003-022-03374-0

Wildlife trade is a major driver of biodiversity loss, yet whilst the impacts of trade in some species are relatively well-known, some taxa, such as many invertebrates are often overlooked. Here we explore global patterns of trade in the arachnids, and detected 1,264 species from 66 families and 371 genera in trade. Trade in these groups exceeds millions of individuals, with 67% coming directly from the wild, and up to 99% of individuals in some genera. For popular taxa, such as tarantulas up to 50% are in trade, including 25% of species described since 2000. CITES only covers 30 (2%) of the species potentially traded. We mapped the percentage and number of species native to each country in trade. To enable sustainable trade, better data on species distributions and better conservation status assessments are needed. The disparity between trade data sources highlights the need to expand monitoring if impacts on wild populations are to be accurately gauged and the impacts of trade minimised. Trade in arachnids includes millions of individuals and over 1264 species, with over 70% of individuals coming from the wild.

Espindola, S., E. Vázquez‐Domínguez, M. Nakamura, L. Osorio‐Olvera, E. Martínez‐Meyer, E. A. Myers, I. Overcast, et al. 2022. Complex genetic patterns and distribution limits mediated by native congeners of the worldwide invasive red‐eared slider turtle. Molecular Ecology 31: 1766–1782. https://doi.org/10.1111/mec.16356

Non-native (invasive) species offer a unique opportunity to study the geographical distribution and range limits of species, wherein the evolutionary change driven by interspecific interactions between native and non-native closely related species is a key component. The red-eared slider turtle, Tra…

Wham, B. E., S. R. Rahman, M. Martinez‐Correa, and H. M. Hines. 2021. Mito‐nuclear discordance at a mimicry color transition zone in bumble bee Bombus melanopygus. Ecology and Evolution 11: 18151–18168. https://doi.org/10.1002/ece3.8412

As hybrid zones exhibit selective patterns of gene flow between otherwise distinct lineages, they can be especially valuable for informing processes of microevolution and speciation. The bumble bee, Bombus melanopygus, displays two distinct color forms generated by Müllerian mimicry: a northern “Roc…

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…

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…

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…

Alkishe, A., M. E. Cobos, A. T. Peterson, and A. M. Samy. 2020. Recognizing sources of uncertainty in disease vector ecological niche models: An example with the tick Rhipicephalus sanguineus sensu lato. Perspectives in Ecology and Conservation 18: 91–102. https://doi.org/10.1016/j.pecon.2020.03.002

Epidemiology is one of many fields that use ecological niche modeling to assess potential distributions or potential range expansions of species. When such models are transferred in space and time, it is important to understand sources and location of uncertainty in their predictions. Here, we used …

Prieto-Torres, D. A., A. Lira-Noriega, and A. G. Navarro-Sigüenza. 2020. Climate change promotes species loss and uneven modification of richness patterns in the avifauna associated to Neotropical seasonally dry forests. Perspectives in Ecology and Conservation 18: 19–30. https://doi.org/10.1016/j.pecon.2020.01.002

We assessed the effects of global climate change as a driver of spatio-temporal biodiversity patterns in bird assemblages associated to Neotropical seasonally dry forests (NSDF). For this, we estimated the geographic distribution of 719 bird species under current and future climate (2050 and 2070) p…

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…

Liu, X., T. M. Blackburn, T. Song, X. Li, C. Huang, and Y. Li. 2019. Risks of Biological Invasion on the Belt and Road. Current Biology 29: 499-505.e4. https://doi.org/10.1016/j.cub.2018.12.036

China’s Belt and Road Initiative (BRI) is an unprecedented global development program that involves nearly half of the world’s countries [1]. It not only will have economic and political influences, but also may generate multiple environmental challenges and is a focus of considerable academic and p…