Science Enabled by Specimen Data

Martín, G., Erinjery, J., Gumbs, R., Somaweera, R., Ediriweera, D., Diggle, P. J., … Murray, K. A. (2021). Integrating snake distribution, abundance and expert‐derived behavioural traits predicts snakebite risk. Journal of Applied Ecology. doi:10.1111/1365-2664.14081 https://doi.org/10.1111/1365-2664.14081

Despite important implications for human health, distribution, abundance and behaviour of most medically relevant snakes remain poorly understood. Such data deficiencies hamper efforts to characterise the causal pathways of snakebite envenoming and to prioritise management options in the areas at gr…

Solovyeva, D., Bysykatova-Harmey, I., Vartanyan, S. L., Kondratyev, A., & Huettmann, F. (2021). Modeling Eastern Russian High Arctic Geese (Anser fabalis, A. albifrons) during moult and brood rearing in the “New Digital Arctic.” Scientific Reports, 11(1). doi:10.1038/s41598-021-01595-7 https://doi.org/10.1038/s41598-021-01595-7

Many polar species and habitats are now affected by man-made global climate change and underlying infrastructure. These anthropogenic forces have resulted in clear implications and many significant changes in the arctic, leading to the emergence of new climate, habitats and other issues including di…

Onditi, K. O., Li, X., Song, W., Li, Q., Musila, S., Mathenge, J., … Jiang, X. (2021). The management effectiveness of protected areas in Kenya. Biodiversity and Conservation. doi:10.1007/s10531-021-02276-7 https://doi.org/10.1007/s10531-021-02276-7

Merely designating new and/or expanding existing protected areas (PAs) does not guarantee the protection of critical ecosystems and species. The management of PAs must be effective to sustain meaningful conservational outcomes. We inferred the management effectiveness of PAs in Kenya based on the re…

Sharifuzzaman, S. M., Rubby, I. A., Habib, K. A., Kimura, S., Rasid, M. H., Islam, M. J., … Hossain, M. S. (2021). Annotated checklist of ponyfishes (Perciformes: Leiognathidae) from Bangladesh, the northern Bay of Bengal. Journal of Fish Biology. doi:10.1111/jfb.14890 https://doi.org/10.1111/jfb.14890

Information on the taxonomy of ponyfishes (Leiognathidae Gill 1893) from Bangladesh was hitherto inadequate and details of some species were lacking. Based on specimens, the present study reports 12 species of ponyfishes from the coasts of Bangladesh with short descriptions of their diagnostic chara…

McManamay, R. A., Vernon, C. R., & Jager, H. I. (2021). Global Biodiversity Implications of Alternative Electrification Strategies Under the Shared Socioeconomic Pathways. Biological Conservation, 109234. doi:10.1016/j.biocon.2021.109234 https://doi.org/10.1016/j.biocon.2021.109234

Addressing climate mitigation while meeting global electrification goals will require major transitions from fossil-fuel dependence to large-scale renewable energy deployment. However, renewables require significant land assets per unit energy and could come at high cost to ecosystems, creating pote…

Fanelli, A., & Buonavoglia, D. (2021). Risk of Crimean Congo haemorrhagic fever virus (CCHFV) introduction and spread in CCHF-free countries in southern and Western Europe: A semi-quantitative risk assessment. One Health, 13, 100290. doi:10.1016/j.onehlt.2021.100290 https://doi.org/10.1016/j.onehlt.2021.100290

Crimean-Congo hemorrhagic fever (CCHF) is a severe tick-borne viral zoonotic disease caused by Crimean-Congo hemorrhagic fever virus (CCHFV). The disease is usually asymptomatic in domestic and wild animals, both of which may act as reservoirs of the virus. CCHF is endemic in parts of Africa, Asia, …

Miller, E. F., Green, R. E., Balmford, A., Maisano Delser, P., Beyer, R., Somveille, M., … Manica, A. (2021). Bayesian Skyline Plots disagree with range size changes based on Species Distribution Models for Holarctic birds. Molecular Ecology. doi:10.1111/mec.16032 https://doi.org/10.1111/mec.16032

During the Quaternary, large climate oscillations impacted the distribution and demography of species globally. Two approaches have played a major role in reconstructing changes through time: Bayesian Skyline Plots (BSPs), which reconstruct population fluctuations based on genetic data, and Species …

Hughes, A. C., Orr, M. C., Ma, K., Costello, M. J., Waller, J., Provoost, P., … Qiao, H. (2021). Sampling biases shape our view of the natural world. Ecography. doi:10.1111/ecog.05926 https://doi.org/10.1111/ecog.05926

Spatial patterns of biodiversity are inextricably linked to their collection methods, yet no synthesis of bias patterns or their consequences exists. As such, views of organismal distribution and the ecosystems they make up may be incorrect, undermining countless ecological and evolutionary studies.…

Wieringa, J. G., Carstens, B. C., & Gibbs, H. L. (2021). Predicting migration routes for three species of migratory bats using species distribution models. PeerJ, 9, e11177. doi:10.7717/peerj.11177 https://doi.org/10.7717/peerj.11177

Understanding seasonal variation in the distribution and movement patterns of migratory species is essential to monitoring and conservation efforts. While there are many species of migratory bats in North America, little is known about their seasonal movements. In terms of conservation, this is impo…

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. …