The global spectrum of plant form and function: enhanced species-level trait dataset.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
07 12 2022
07 12 2022
Historique:
received:
25
10
2021
accepted:
12
10
2022
entrez:
8
12
2022
pubmed:
9
12
2022
medline:
9
12
2022
Statut:
epublish
Résumé
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ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data.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.
Identifiants
pubmed: 36477373
doi: 10.1038/s41597-022-01774-9
pii: 10.1038/s41597-022-01774-9
pmc: PMC9729214
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
755Informations de copyright
© 2022. The Author(s).
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