Pollen specialist bee species are accurately predicted from visitation, occurrence and phylogenetic data.

ABSTRACT: An animal's diet breadth is a central aspect of its life history, yet the factors determining why some species have narrow dietary breadths (specialists) and others have broad dietary breadths (generalists) remain poorly understood. This challenge is pronounced in herbivorous insects due to incomplete host plant data across many taxa and regions. Here, we develop and validate machine learning models to predict pollen diet breadth in bees, using a bee phylogeny and occurrence data for 682 bee species native to the United States, aiming to better understand key drivers. We found that pollen specialist bees made an average of 72.9% of their visits to host plants and could be predicted with high accuracy (mean 94%). Our models predicted generalist bee species, which made up a minority of the s

SUBMITTER: Smith C 

PROVIDER: S-EPMC11655600 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature