My research mainly focuses on the performance of species distribution models (SDMs) across various spatial scales and data quality. I am interested in the effect of positional uncertainty in species occurrences on SDMs predictive performance and explanatory power. Currently, I am analyzing the amount of positional uncertainty in publicly shared data (i.e., in GBIF). I am also interested in using remote sensing data from various sources and quality in ecological studies.
I earned my PhD in applied ecology at Czech University of Life Sciences in Prague (Czech Republic). Before starting at Yale, I spent some time at University of Florida and North Carolina State University.
Gábor, L., Moudrý, V., Barták, V., & Lecours, V. (2020). How do species and data characteristics affect species distribution models and when to use environmental filtering?. International Journal of Geographical Information Science, 34(8), 1567-1584.
Gábor, L., Moudrý, V., Lecours, V., Malavasi, M., Barták, V., Fogl, M., … & Václavík, T. (2020). The effect of positional error on fine scale species distribution models increases for specialist species. Ecography, 43(2), 256-269.
Lecours, V., Gábor, L., Edinger, E., & Devillers, R. (2020). Fine-scale habitat characterization of The Gully, the Flemish Cap, and the Orphan Knoll, Northwest Atlantic, with a focus on cold-water corals. In Seafloor Geomorphology as Benthic Habitat (pp. 735-751). Elsevier.