Science Enabled by Specimen Data

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…

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…

Wang, C.-J., & Wan, J.-Z. (2021). Functional trait perspective on suitable habitat distribution of invasive plant species at a global scale. Perspectives in Ecology and Conservation. doi:10.1016/j.pecon.2021.07.002 https://doi.org/10.1016/j.pecon.2021.07.002

Plant invasion has been proved to threaten biodiversity conservation and ecosystem maintenance at a global scale. It is a challenge to project suitable habitat distributions of invasive plant species (IPS) for invasion risk assessment at large spatial scales. Interaction outcomes between native and …

Lake, T. A., Briscoe Runquist, R. D., & Moeller, D. A. (2020). Predicting range expansion of invasive species: Pitfalls and best practices for obtaining biologically realistic projections. Diversity and Distributions, 26(12), 1767–1779. doi:10.1111/ddi.13161 https://doi.org/10.1111/ddi.13161

Aim: Species distribution models (SDMs) are widely used to forecast potential range expansion of invasive species. However, invasive species occurrence datasets often have spatial biases that may violate key SDM assumptions. In this study, we examined alternative methods of spatial bias correction a…