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1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data.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

The global spectrum of plant form and function : enhanced species-level trait dataset / S. Díaz, J. Kattge, J.H.C. Cornelissen, I.J. Wright, S. Lavorel, S. Dray, B. Reu, M. Kleyer, C. Wirth, I.C. Prentice, E. Garnier, G. Bönisch, M. Westoby, H. Poorter, P.B. Reich, A.T. Moles, J. Dickie, A.E. Zanne, J. Chave, S.J. Wright, S.N. Sheremetiev, H. Jactel, C. Baraloto, B.E.L. Cerabolini, S. Pierce, B. Shipley, F. Casanoves, J.S. Joswig, A. Günther, V. Falczuk, N. Rüger, M.D. Mahecha, L.D. Gorné, B. Amiaud, O.K. Atkin, M. Bahn, D. Baldocchi, M. Beckmann, B. Blonder, W. Bond, B. Bond-Lamberty, K. Brown, S. Burrascano, C. Byun, G. Campetella, J. Cavender-Bares, F.S. Chapin, B. Choat, D.A. Coomes, W.K. Cornwell, J. Craine, D. Craven, M. Dainese, A.C. de Araujo, F.T. de Vries, T.F. Domingues, B.J. Enquist, J. Fagúndez, J. Fang, F. Fernández-Méndez, M.T. Fernandez-Piedade, H. Ford, E. Forey, G.T. Freschet, S. Gachet, R. Gallagher, W. Green, G.R. Guerin, A.G. Gutiérrez, S.P. Harrison, W.N. Hattingh, T. He, T. Hickler, S.I. Higgins, P. Higuchi, J. Ilic, R.B. Jackson, A. Jalili, S. Jansen, F. Koike, C. König, N. Kraft, K. Kramer, H. Kreft, I. Kühn, H. Kurokawa, E.G. Lamb, D.C. Laughlin, M. Leishman, S. Lewis, F. Louault, A.C.M. Malhado, P. Manning, P. Meir, M. Mencuccini, J. Messier, R. Miller, V. Minden, J. Molofsky, R. Montgomery, G. Montserrat-Martí, M. Moretti, S. Müller, Ü. Niinemets, R. Ogaya, K. Öllerer, V. Onipchenko, Y. Onoda, W.A. Ozinga, J.G. Pausas, B. Peco, J. Penuelas, V.D. Pillar, C. Pladevall, C. Römermann, L. Sack, N. Salinas, B. Sandel, J. Sardans, B. Schamp, M. Scherer-Lorenzen, E. Schulze, F. Schweingruber, S. Shiodera, Ê. Sosinski, N. Soudzilovskaia, M.J. Spasojevic, E. Swaine, N. Swenson, S. Tautenhahn, K. Thompson, A. Totte, R. Urrutia-Jalabert, F. Valladares, P. van Bodegom, F. Vasseur, K. Verheyen, D. Vile, C. Violle, B. von Holle, P. Weigelt, E. Weiher, M.C. Wiemann, M. Williams, J. Wright, G. Zotz. - In: SCIENTIFIC DATA. - ISSN 2052-4463. - 9:1(2022 Dec 07), pp. 755.1-755.18. [10.1038/s41597-022-01774-9]

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

S. Pierce;
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.
Settore BIO/03 - Botanica Ambientale e Applicata
7-dic-2022
Article (author)
File in questo prodotto:
File Dimensione Formato  
Diaz et al 2022 Scientific Data 9, 755.pdf

accesso aperto

Tipologia: Publisher's version/PDF
Dimensione 2.39 MB
Formato Adobe PDF
2.39 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/948253
Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus 12
  • ???jsp.display-item.citation.isi??? 9
social impact