Abstract Recent research has highlighted the existence of significant intraspecific trait variation within and among populations of plant species. This inherent variation within species means there is a wealth of trait diversity from which to source germplasm for use in ecological restoration. However, it remains unclear how to source materials from this pool of trait diversity in order to achieve desired outcomes and support ecosystem function in a restoration context. We provide a framework to study the structure of trait variation across populations and genotypes in an effort to bridge functional trait research with the sourcing of native plant materials for restoration. We investigated the structure of intraspecific functional trait variation in three forb species used in restoration on the Colorado Plateau to (a) understand the structure of functional trait variation within and among populations, and (b) determine if individual and multivariate functional traits differ between populations while accounting for trait variation within and among genotypes. We found considerable functional trait variation at all sampling levels, with variation within populations often surpassing variation among populations. Still, we observed population‐level differences in trait values in 8 of the 12 species‐by‐trait combinations and populations largely segregated in multivariate trait space. Synthesis and applications. Using micropropagation techniques, we uncovered population‐level differences in functional trait variation, suggesting that mixing populations to create restoration germplasm following a regional admixture provenancing approach could lead to increased functional diversity in restorations. However, the substantial trait variation identified within some populations of our study species also suggests a similar potential when utilizing genotypically diverse material from even a single population. Further research on these and other species is needed to understand the structure of intraspecific functional trait variation and how it impacts ecosystem function. The approach outlined in this study can assist researchers in assessing the underlying trait variation present in various restoration materials and provide managers with more detailed information that can help make germplasm sourcing decisions.