Biodiversity data can be analysed to predict species distribution at various scales of time and space. However, survey completeness and temporal decay in data quality introduce uncertainty into biodiversity models. Researchers Joaquín Hortal, Juliana Stropp, Richard Ladle, and Geiziane Tessarolo, among others, are constructing the first Maps of Biogeographical Ignorance (MoBIs) that account for uncertainty in biodiversity analysis. Presented alongside species distribution models (SDMs), MoBIs ensure conservation resources are appropriately distributed.

A podcast about our recent works on incoportating data-driven uncertainty in biodiversity models has been published in researchpod:

For more information you can check the our recent articles in Research Outreach and Ecography, or the video abstract.