1. Floral and reproductive traits are an independent dimension within the plant economic spectrum of temperate central Europe
- Author
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Lars Götzenberger, Anna E-Vojtkó, Robert R. Junker, Francesco De Bello, Technology Agency of the Czech Republic, Institute of Geology of the Czech Academy of Sciences, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), and Austrian Science Fund
- Subjects
Plant Leaves ,Europe ,Phenotype ,Physiology ,Plant Science ,Flowers ,Plants ,Phylogeny - Abstract
Major dimensions of plant ecological strategies have been widely studied bringing forward the concept of ‘economic spectra’ of plants. Sexual reproductive traits, ‘floral traits’, have been largely neglected in this context, despite their strong link to fitness. Here, we aimed at integrating floral traits into the dimensionality of plant form and function so far dominated by vegetative traits. We used principal component analyses and constructed trait networks to assess the correlation structure of leaf, belowground, plant size-related, and floral traits. We studied forbs within two independent datasets; one compiled from central European trait databases and one sampled in the Austrian Alps. Floral traits defined the second dimension of trait variability within both datasets, while plant size determined the first dimension. Floral traits were largely independent from the leaf economic spectrum. Flower size, however, positively scaled with plant size and leaf size. Mating system was the most well-connected trait across modules of plant tissue/organ types. The independence of floral traits was consistent also after accounting for phylogenetic relationships between species. Floral traits explained a unique part of the variation in plant form and function and thus, likely play a distinctive ecological role within the whole plant economic spectrum., The study was financially supported by the Grant Agency of the Czech Republic (GACR 22-32198S). AE-V and LG received support by the long-term research development project number RVO 67985939 of the Czech Academy of Sciences. FB was supported by the Spanish Plan Nacional de I+D+i (project PGC2018-099027-B-I00). Data collection was partially funded by the Austrian Science Fund (P29142-B29).
- Published
- 2022