AI-based discovery of habitats from museum collections

Abstract

Museum collection records are a source of historic data for species occurrence, but little attention is paid to the associated descriptions of habitat at the sample locations. We propose that artificial intelligence methods have potential to use these descriptions for reconstructing past habitat, to address ecological and evolutionary questions.

Keywords: artificial intelligence; habitat; natural history archives; shifting baselines.