Abstract
BACKGROUND AND AIMS: The whole-plant economics spectrum describes coordination between organ-level traits that together determine resource-use strategies and is relevant for understanding plant responses to environmental change. Although coordination between organs has been explored previously across species, it remains unclear whether patterns observed across species hold within species. In addition, the key driving forces underlying this coordination warrant clarification. METHODS: In this study, we used univariate (regression analysis) and multivariate (principal components analysis and network analysis) analyses to investigate the environmental drivers of intraspecific trait variation and, consequently, trait covariation, focusing on leaf and fine root traits. We sampled 60 individuals of Schima superba, a widespread evergreen tree, across five elevations in a subtropical forest in China, measuring traits associated with resource use and capture, including photosynthesis, specific root length and root diameter. KEY RESULTS: Leaf and root traits were significantly correlated within species, forming a whole-plant economics spectrum. We found that plants at low and high elevations had more resource-acquisitive traits than at intermediate elevation. Notably, leaf and root traits, in addition to a composite variable that contained both, varied non-linearly with elevation. Leaf trait variation was driven primarily by temperature, whereas root trait variation and a composite variable containing leaf and root traits were most strongly influenced by temperature and plant-available soil phosphorus. CONCLUSIONS: Our findings show that the coordinated responses of individual traits to climate and soil properties underlie intraspecific variation in whole-plant resource-use strategies across environmental gradients. These findings are contrary to recent studies that have found evidence of decoupling between above- and below-ground traits, which suggests that there is selection for coordination among traits in S. superba. Thus, our study enhances our understanding of the key drivers and the ecological significance of environmentally driven intraspecific trait variation.