Science Enabled by Specimen Data

Dallas, J. W., Harris, A., Reinbolt, J., & Warne, R. W. (2021). Ecology of the synanthropic mediterranean house gecko (Hemidactylus turcicus) at their northern invasion front. Urban Ecosystems. doi:10.1007/s11252-021-01136-0 https://doi.org/10.1007/s11252-021-01136-0

Invasive herpetofauna are a significant threat to native wildlife and when colonizing higher latitudes, they must cope with greater seasonality that likely exposes them to temperatures below their preferred temperature range and reduced physiological performance. Therefore, it is important to unders…

Thanou, E., Kypraios-Skrekas, V., Kornilios, P., & Giokas, S. (2021). Ecomorphological divergence and lack of gene flow in two sympatric Balkan slow worms (Squamata: Anguidae). Biological Journal of the Linnean Society. doi:10.1093/biolinnean/blab074 https://doi.org/10.1093/biolinnean/blab074

The slow-worm lizards of the genus Anguis show significant morphological, behavioural and ecological uniformity owing to their limbless, elongated bodies and semifossorial lifestyle. This makes the delimitation of species challenging. Five monophyletic, deeply divergent and mostly parapatric mitocho…

McGowan, N. E., Roche, N., Aughney, T., Flanagan, J., Nolan, P., Marnell, F., & Reid, N. (2021). Testing consistency of modelled predictions of the impact of climate change on bats. Climate Change Ecology, 2, 100011. doi:10.1016/j.ecochg.2021.100011 https://doi.org/10.1016/j.ecochg.2021.100011

Species Distribution Models (SDMs) are a cornerstone of climate change conservation research but temporal extrapolations into future climate scenarios cannot be verified until later this century. One way of assessing the robustness of projections is to compare their consistency between different mod…

Salinas-Ramos, V. B., Ancillotto, L., Cistrone, L., Nastasi, C., Bosso, L., Smeraldo, S., … Russo, D. (2021). Artificial illumination influences niche segregation in bats. Environmental Pollution, 284, 117187. doi:10.1016/j.envpol.2021.117187 https://doi.org/10.1016/j.envpol.2021.117187

Artificial light at night (ALAN) is a pervasive form of pollution largely affecting wildlife, from individual behaviour to community structure and dynamics. As nocturnal mammals, bats are often adversely affected by ALAN, yet some “light-opportunistic” species exploit it by hunting insects swarming …

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…

Smeraldo, S., Bosso, L., Salinas‐Ramos, V. B., Ancillotto, L., Sánchez‐Cordero, V., Gazaryan, S., & Russo, D. (2021). Generalists yet different: distributional responses to climate change may vary in opportunistic bat species sharing similar ecological traits. Mammal Review. doi:10.1111/mam.12247 https://doi.org/10.1111/mam.12247

Climate change is among the key anthropogenic factors affecting species’ distribution, with important consequences for conservation. However, little is known concerning the consequences of distributional changes on community‐level interactions, and responses by generalist species might have many eco…

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, …

Farooq, H., Azevedo, J. A. R., Soares, A., Antonelli, A., & Faurby, S. (2020). Mapping Africa’s biodiversity: More of the same is just not good enough. Systematic Biology. doi:10.1093/sysbio/syaa090 https://doi.org/10.1093/sysbio/syaa090

Species distribution data are fundamental to the understanding of biodiversity patterns and processes. Yet, such data are strongly affected by sampling biases, mostly related to site accessibility. The understanding of these biases is therefore crucial in systematics, biogeography and conservation. …

Espíndola, A., Ruffley, M., Smith, M. L., Carstens, B. C., Tank, D. C., & Sullivan, J. (2016). Identifying cryptic diversity with predictive phylogeography. Proceedings of the Royal Society B: Biological Sciences, 283(1841), 20161529. doi:10.1098/rspb.2016.1529 https://doi.org/10.1098/rspb.2016.1529

Identifying units of biological diversity is a major goal of organismal biology. An increasing literature has focused on the importance of cryptic diversity, defined as the presence of deeply diverged lineages within a single species. While most discoveries of cryptic lineages proceed on a taxon-by-…

Barratt, C. D., Bwong, B. A., Jehle, R., Liedtke, H. C., Nagel, P., Onstein, R. E., … Loader, S. P. (2018). Vanishing refuge? Testing the forest refuge hypothesis in coastal East Africa using genome-wide sequence data for seven amphibians. Molecular Ecology, 27(21), 4289–4308. doi:10.1111/mec.14862 https://doi.org/10.1111/mec.14862

High‐throughput sequencing data have greatly improved our ability to understand the processes that contribute to current biodiversity patterns. The “vanishing refuge” diversification model is speculated for the coastal forests of eastern Africa, whereby some taxa have persisted and diversified betwe…