PhenoSpace: A Shiny application to visualize trait data in the phenotypic space of the global spectrum of plant form and function.

A recent analysis of variation in six major traits conducted on a large worldwide sample of vascular plant species showed that three-quarters of trait variation was captured by a two-dimensional global spectrum of plant form and function ("global spectrum" hereafter). We developed the PhenoSpace application, whose aim is to visualize and export the position of any individual/population/species in the phenotypic space of the global spectrum.PhenoSpace is a Shiny application that helps users to manipulate and visualize data pertaining to the global spectrum of plant form and function.

Reproductive phenology as a dimension of the phenotypic space in 139 plant species from the Mediterranean.

Phenology, the study of seasonal timing of events in nature, plays a key role in the matching between organisms and their environment. Yet, it has been poorly integrated in trait-based descriptions of the plant phenotype. Here, we focus on three phases of reproductive phenology - time of flowering, time of seed dispersal and duration of seed maturation - to test how these traits relate to other recognized dimensions of plant functioning.

Climate as a driver of adaptive variations in ecological strategies in Arabidopsis thaliana.

Background And Aims: The CSR classification categorizes plants as stress tolerators (S), ruderals (R) and competitors (C). Initially proposed as a general framework to describe ecological strategies across species, this scheme has recently been used to investigate the variation of strategies within species. For instance, ample variation along the S-R axis was found in Arabidopsis thaliana, with stress-tolerator accessions predominating in hot and dry regions, which was interpreted as a sign of functional adaptation to climate within the species.