Science Enabled by Specimen Data

Bazzicalupo, A. L., J. Whitton, and M. L. Berbee. 2019. Over the hills, but how far away? Estimates of mushroom geographic range extents. Journal of Biogeography. https://doi.org/10.1111/jbi.13617

Aim: Geographic distributions of mushroom species remain poorly understood despite their importance for advancing our understanding of the habitat requirements, species interactions and ecosystem functions of this key group of organisms. Here, we estimate geographic range extents (maximum within‐spe…

Goodwin, Z. A., P. Muñoz-Rodríguez, D. J. Harris, T. Wells, J. R. I. Wood, D. Filer, and R. W. Scotland. 2020. How long does it take to discover a species? Systematics and Biodiversity 18: 784–793. https://doi.org/10.1080/14772000.2020.1751339

The description of a new species is a key step in cataloguing the World’s flora. However, this is only a preliminary stage in a long process of understanding what that species represents. We investigated how long the species discovery process takes by focusing on three key stages: 1, the collection …

Stropp, J., B. Umbelino, R. A. Correia, J. V. Campos‐Silva, R. J. Ladle, and A. C. M. Malhado. 2020. The ghosts of forests past and future: deforestation and botanical sampling in the Brazilian Amazon. Ecography 43: 979–989. https://doi.org/10.1111/ecog.05026

The remarkable biodiversity of the Brazilian Amazon is poorly documented and threatened by deforestation. When undocumented areas become deforested, in addition to losing the fauna and flora, we lose the opportunity to know which unique species had occupied a habitat. Here we quantify such knowledge…

Vollering, J., R. Halvorsen, I. Auestad, and K. Rydgren. 2019. Bunching up the background betters bias in species distribution models. Ecography 42: 1717–1727. https://doi.org/10.1111/ecog.04503

Sets of presence records used to model species’ distributions typically consist of observations collected opportunistically rather than systematically. As a result, sampling probability is geographically uneven, which may confound the model’s characterization of the species’ distribution. Modelers f…

Fletcher, T. L., L. Warden, J. S. Sinninghe Damsté, K. J. Brown, N. Rybczynski, J. C. Gosse, and A. P. Ballantyne. 2019. Evidence for fire in the Pliocene Arctic in response to amplified temperature. Climate of the Past 15: 1063–1081. https://doi.org/10.5194/cp-15-1063-2019

The mid-Pliocene is a valuable time interval for investigating equilibrium climate at current atmospheric CO2 concentrations because atmospheric CO2 concentrations are thought to have been comparable to the current day and yet the climate and distribution of ecosystems were quite different. One intr…

Karger, D. N., M. Kessler, O. Conrad, P. Weigelt, H. Kreft, C. König, and N. E. Zimmermann. 2019. Why tree lines are lower on islands—Climatic and biogeographic effects hold the answer J. Grytnes [ed.],. Global Ecology and Biogeography 28: 839–850. https://doi.org/10.1111/geb.12897

Aim: To determine the global position of tree line isotherms, compare it with observed local tree limits on islands and mainlands, and disentangle the potential drivers of a difference between tree line and local tree limit. Location: Global. Time period: 1979–2013. Major taxa studied: Trees. Method…

Inman, R., J. Franklin, T. Esque, and K. Nussear. 2018. Spatial sampling bias in the Neotoma paleoecological archives affects species paleo-distribution models. Quaternary Science Reviews 198: 115–125. https://doi.org/10.1016/j.quascirev.2018.08.015

The ability to infer paleo-distributions with limited knowledge of absence makes species distribution modeling (SDM) a useful tool for exploring paleobiogeographic questions. Spatial sampling bias is a known issue when modeling extant species. Here we quantify the spatial sampling bias in a North Am…

Caudullo, G., E. Welk, and J. San-Miguel-Ayanz. 2017. Chorological maps for the main European woody species. Data in Brief 12: 662–666. https://doi.org/10.1016/j.dib.2017.05.007

A novel chorological data compilation for the main European tree and shrub species is presented. This dataset was produced by combining numerous and heterogeneous data collected from 20th century atlas monographs providing complete species distribution maps, and from more recent national to regional…