Most-cited awards!

Two of our lab’s papers have been commended for being in their respective journals’ “top 10 most cited for 2023”! Both papers were inspired by our real-world experience in species distribution modeling where people typically discard spatially inaccurate but erstwhile usable specimens, or entire species because they have just a few occurrences. Trying to push the envelope to include them in the “usable” category, we’ve pioneered and evaluated methods to do so.

Modeling the rarest of the rare: A comparison between multi-species distribution models, ensembles of small models, and single-species models at extremely low sample sizes [open access] Erickson, K.D. and Smith, A.B. 2023. Ecography 2023:e06500.

Including imprecisely georeferenced specimens improves accuracy of species distribution models and estimates of niche breadth [article | open access pre-print] Smith, A.B., Murphy, S.J., Henderson, D., and Erickson, K.D. 2023. Global Ecology and Biogeography 32:342-255.