4.7 Article Data Paper

The global spectrum of plant form and function: enhanced species-level trait dataset

Journal

SCIENTIFIC DATA
Volume 9, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41597-022-01774-9

Keywords

-

Funding

  1. TRY initiative on plant traits
  2. European BACI project (Towards a Biosphere Atmosphere change Index, EU) [640176]
  3. FONCyT
  4. CONICET
  5. Universidad Nacional de Cordoba
  6. Inter-American Institute for Global Change Research
  7. Newton Fund (NERC UK -CONICET ARG)
  8. RSF [19-14-00038p]

Ask authors/readers for more resources

The 'Global Spectrum of Plant Form and Function Dataset' provides species mean values for six vascular plant traits on a global scale. Based on a large number of trait records, the dataset is the largest and most accurate compilation of vascular plant species mean traits to date, with comprehensive quality control.
Here we provide the 'Global Spectrum of Plant Form and Function Dataset', containing species mean values for six vascular plant traits. Together, these traits -plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content per dry mass, and diaspore (seed or spore) mass - define the primary axes of variation in plant form and function. The dataset is based on ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data. It provides 92,159 species mean values for the six traits, covering 46,047 species. The data are complemented by higher-level taxonomic classification and six categorical traits (woodiness, growth form, succulence, adaptation to terrestrial or aquatic habitats, nutrition type and leaf type). Data quality management is based on a probabilistic approach combined with comprehensive validation against expert knowledge and external information. Intense data acquisition and thorough quality control produced the largest and, to our knowledge, most accurate compilation of empirically observed vascular plant species mean traits to date

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available