Using maps of biogeographical ignorance to reveal the uncertainty in distributional data hidden in species distribution models

• Published in: Ecography (Copenhagen) Vol. 44; no. 12; pp. 1743 - 1755
• Main Authors: Tessarolo, Geiziane, Ladle, Richard J., Lobo, Jorge M., Rangel, Thiago Fernando, Hortal, Joaquín
• Format: Journal Article
• Language: English
• Published: Oxford, UK Blackwell Publishing Ltd 01.12.2021; John Wiley & Sons, Inc
• Subjects: bias; Biodiversity; biodiversity data; Conservation; distributional uncertainty; Dung; ecological niche models; feces; Geographical distribution; Ignorance; Indicators; inventories; Model accuracy; Polls & surveys; Predictions; predictive accuracy; Scarabaeidae; SDM performance; spatial decay; Species; surveys; Target recognition; taxonomic quality; Taxonomy; temporal decay; Uncertainty; Variables; Wallacean shortfall; Iberian Peninsula

Species distribution models (SDMs) are subject to many sources of uncertainty, limiting their application in research and practice. One of their main limitations is the quality of the distributional data used to calibrate them, which directly influences the accuracy of model predictions. We propose...