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

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

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Resource type
Journal article
Creator (person)
Díaz, Sandra
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Kattge, Jens
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Cornelissen, Johannes H. C.
Wright, Ian J.
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Lavorel, Sandra
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Date published
December 7, 2022
Abstract

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ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data.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.

Organisational unit
Science
Project(s)
TRY initiative on plant traits
Priority 5: Enhanced Partnerships
The Global Spectrum of Plant Form and Function study
Priority 3: Digital Revolution
Priority 2: Trait Diversity and Function
Funder
Funder nameISNIAwards
Max Planck Institute
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bioDISCOVERY/Future Earth
German Center for Integrative Biodiversity Research, Germany
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Universidad Nacional de Córdoba, Argentina
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BACI Project, European Union
Towards a Biosphere Atmosphere change Index, EU grant ID 640176
Fondo para la Investigación Científica y Tecnológica, Argentina
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Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina
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Inter-American Institute for Global Change Research, Uruguay
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Newton Fund, United Kingdom
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Journal title
Scientific Data
Volume
9
Article number
755
Publisher
Springer Science and Business Media LLC
Place of publication
Berlin/Heidelberg, Germany
eISSN
2052-4463
Date accepted
October 12, 2022
Official URL
https://doi.org/10.1038/s41597-022-01774-9
Related URL
https://www.nature.com/articles/s41597-022-01774-9
Rights statement
In Copyright
Licence
CC BY 4.0
DOI
10.1038/s41597-022-01774-9
Alternate identifier
755
Keywords
Form and function
Biodiversity
Plant form and function
Biogeography
Species trait dataset
Macroecology
Species traits
Additional information
IF = 6.101 (2021-2022)
Managed by the British Library and supported by the AHRC

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