Dataset Information

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

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1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data.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

SUBMITTER: Diaz S

PROVIDER: S-EPMC9729214 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

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

Díaz Sandra S Kattge Jens J Cornelissen Johannes H C JHC Wright Ian J IJ Lavorel Sandra S Dray Stéphane S Reu Björn B Kleyer Michael M Wirth Christian C Prentice I Colin IC Garnier Eric E Bönisch Gerhard G Westoby Mark M Poorter Hendrik H Reich Peter B PB Moles Angela T AT Dickie John J Zanne Amy E AE Chave Jérôme J Wright S Joseph SJ Sheremetiev Serge N SN Jactel Hervé H Baraloto Christopher C Cerabolini Bruno E L BEL Pierce Simon S Shipley Bill B Casanoves Fernando F Joswig Julia S JS Günther Angela A Falczuk Valeria V Rüger Nadja N Mahecha Miguel D MD Gorné Lucas D LD Amiaud Bernard B Atkin Owen K OK Bahn Michael M Baldocchi Dennis D Beckmann Michael M Blonder Benjamin B Bond William W Bond-Lamberty Ben B Brown Kerry K Burrascano Sabina S Byun Chaeho C Campetella Giandiego G Cavender-Bares Jeannine J Chapin F Stuart FS Choat Brendan B Coomes David Anthony DA Cornwell William K WK Craine Joseph J Craven Dylan D Dainese Matteo M de Araujo Alessandro Carioca AC de Vries Franciska T FT Domingues Tomas Ferreira TF Enquist Brian J BJ Fagúndez Jaime J Fang Jingyun J Fernández-Méndez Fernando F Fernandez-Piedade Maria T MT Ford Henry H Forey Estelle E Freschet Gregoire T GT Gachet Sophie S Gallagher Rachael R Green Walton W Guerin Greg R GR Gutiérrez Alvaro G AG Harrison Sandy P SP Hattingh Wesley Neil WN He Tianhua T Hickler Thomas T Higgins Steven I SI Higuchi Pedro P Ilic Jugo J Jackson Robert B RB Jalili Adel A Jansen Steven S Koike Fumito F König Christian C Kraft Nathan N Kramer Koen K Kreft Holger H Kühn Ingolf I Kurokawa Hiroko H Lamb Eric G EG Laughlin Daniel C DC Leishman Michelle M Lewis Simon S Louault Frédérique F Malhado Ana C M ACM Manning Peter P Meir Patrick P Mencuccini Maurizio M Messier Julie J Miller Regis R Minden Vanessa V Molofsky Jane J Montgomery Rebecca R Montserrat-Martí Gabriel G Moretti Marco M Müller Sandra S Niinemets Ülo Ü Ogaya Romà R Öllerer Kinga K Onipchenko Vladimir V Onoda Yusuke Y Ozinga Wim A WA Pausas Juli G JG Peco Begoña B Penuelas Josep J Pillar Valério D VD Pladevall Clara C Römermann Christine C Sack Lawren L Salinas Norma N Sandel Brody B Sardans Jordi J Schamp Brandon B Scherer-Lorenzen Michael M Schulze Ernst-Detlef ED Schweingruber Fritz F Shiodera Satomi S Sosinski Ênio Ê Soudzilovskaia Nadejda N Spasojevic Marko J MJ Swaine Emily E Swenson Nathan N Tautenhahn Susanne S Thompson Ken K Totte Alexia A Urrutia-Jalabert Rocío R Valladares Fernando F van Bodegom Peter P Vasseur François F Verheyen Kris K Vile Denis D Violle Cyrille C von Holle Betsy B Weigelt Patrick P Weiher Evan E Wiemann Michael C MC Williams Mathew M Wright Justin J Zotz Gerhard G

Scientific data 20221207 1

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 ad ...[more]

PMID: 36477373

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Project description:The worldwide plant economic spectrum hypothesis predicts that leaf, stem, and root traits are correlated across vascular plant species because carbon gain depends on leaves being adequately supplied with water and nutrients, and because construction of each organ involves a trade-off between performance and persistence. Despite its logical and intuitive appeal, this hypothesis has received mixed empirical support. If traits within species diverge in their responses to an environmental gradient, then interspecific trait correlations could be weakened when measured in natural ecosystems. To test this prediction, we measured relative growth rates (RGR) and seven functional traits that have been shown to be related to fluxes of water, nutrients, and carbon across 56 functionally diverse tree species on (1) juveniles in a controlled environment, (2) juveniles in forest understories, and (3) mature trees in forests. Leaf, stem, and fine root traits of juveniles grown in a controlled environment were closely correlated with each other, and with RGR. Remarkably, the seven leaf, stem, and fine root tissue traits spanned a single dimension of variation when measured in the controlled environment. Forest-grown juveniles expressed lower leaf mass per area, but higher wood and fine root tissue density, than greenhouse-grown juveniles. Traits and growth rates were decoupled in forest-grown juveniles and mature trees. Our results indicate that constraints exist on the covariation, not just the variation, among vegetative plant organs; however, divergent responses of traits within species to environmental gradients can mask interspecific trait correlations in natural environments. Correlations among organs and relationships between traits and RGR were strong when plants were compared in a standardized environment. Our results may reconcile the discrepancies seen among studies, by showing that if traits and growth rates of species are compared across varied environments, then the interorgan trait correlations observed in controlled conditions can weaken or disappear.

Dataset Information

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

Publications

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

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