Functional traits are frequently used to evaluate plant adaptation across environments. Yet, traits tend to have multiple functions and interactions, which cannot be accounted for in traditional correlation analyses. Plant trait networks (PTNs) clarify complex relationships among traits, enable the calculation of metrics for the topology of trait coordination and the importance of given traits in PTNs, and how they shift across communities. Recent studies of PTNs provide new insights into some important topics, including trait dimensionality, trait spectra (including the leaf economic spectrum), stoichiometric principles, and the variation of phenotypic integration along gradients of resource availability. PTNs provide improved resolution of the multiple dimensions of plant adaptation across scales and responses to shifting resources, disturbance regimes, and global change. Rapid Advances in Data, Analyses, and Applications of Trait-Based Plant Ecology Plant functional traits, defined as those that influence growth, reproduction, and survival [1,2], are important indices for predicting how plants respond and adapt to changing environments across levels of organization, that is, from organs, to species, and to ecosystems [3,4]. Indeed, functional traits can contribute to the prediction of species' distributions, vital rates, and responses to climate change [5]. Highlights Most functional traits are multifunctional and adaptations to multiple selective pressures, complicating the use of traditional correlation and clustering approaches to establish their integration and relative mechanistic importance. New developments in the analysis and application of plant trait networks (PTNs) increase the resolution and inference of adaptations and responses of plants across scales. Communities vary in their constraints on given traits, resulting in variation in PTN topology, and the relative importance of component traits. PTNs provide a multidimensional approach for evaluating the adaptations and response of plants across lineages, life forms, ontogenetic stages, and environments.