PhenoSpace
PhenoSpace visualizes plant trait data within a two-dimensional global spectrum that captures three-quarters of variation in six major traits across vascular plant species for comparative ecological analyses.
Key Features:
- Visualization of Phenotypic Space: Displays a two-dimensional global spectrum that summarizes variation in six major plant traits and accommodates combinations of traits and growth forms.
- Data Projection and Integration: Projects external datasets onto the established phenotypic space provided the dataset includes at least two of the six key traits from the foundational study.
- Export and Download Capabilities: Exports figures and loadings of imported datasets on principal component analysis (PCA) axes.
Scientific Applications:
- Comparative plant ecology: Positions individuals, populations, or species within the global spectrum of plant form and function for comparative analyses.
- Global trait synthesis: Standardizes comparisons of trait variation across continents and environments to identify broad patterns in plant design and function.
Methodology:
Principal component analysis (PCA) of six major traits from a large worldwide sample of vascular plant species produced a two-dimensional global spectrum that captures three-quarters of trait variation.
Topics
Details
- License:
- MIT
- Tool Type:
- web application
- Programming Languages:
- R
- Added:
- 3/19/2021
- Last Updated:
- 3/28/2021
Operations
Publications
Segrestin J, Sartori K, Navas M, Kattge J, Díaz S, Garnier E. PhenoSpace: A Shiny application to visualize trait data in the phenotypic space of the global spectrum of plant form and function. Ecology and Evolution. 2021;11(4):1526-1534. doi:10.1002/ece3.6928. PMID:33613986. PMCID:PMC7882932.