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Nature Research, Scientific Data, 1(9), 2022

DOI: 10.1038/s41597-022-01774-9

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

Journal article published in 2022 by Sandra Díaz ORCID, Jens Kattge ORCID, Johannes H. C. Cornelissen, Ian J. Wright ORCID, Sandra Lavorel ORCID, Stéphane Dray ORCID, Björn Reu, Michael Kleyer, Christian Wirth ORCID, I. Colin Prentice, Eric Garnier ORCID, Gerhard Bönisch, Mark Westoby ORCID, Hendrik Poorter, Peter B. Reich ORCID and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Data provided by SHERPA/RoMEO

Abstract

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1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data.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