3
IRUS TotalDownloads
Altmetric
The global spectrum of plant form and function: enhanced species-level trait dataset
File | Description | Size | Format | |
---|---|---|---|---|
The global spectrum of plant form and function enhanced species-level trait dataset.pdf | Published version | 2.39 MB | Adobe PDF | View/Open |
Title: | The global spectrum of plant form and function: enhanced species-level trait dataset |
Authors: | Díaz, S Kattge, J Cornelissen, JHC Wright, IJ Lavorel, S Dray, S Reu, B Kleyer, M Wirth, C Prentice, IC Garnier, E Bönisch, G Westoby, M Poorter, H Reich, PB Moles, AT Dickie, J Zanne, AE Chave, J Wright, SJ Sheremetiev, SN Jactel, H Baraloto, C Cerabolini, BEL Pierce, S Shipley, B Casanoves, F Joswig, JS Günther, A Falczuk, V Rüger, N Mahecha, MD Gorné, LD Amiaud, B Atkin, OK Bahn, M Baldocchi, D Beckmann, M Blonder, B Bond, W Bond-Lamberty, B Brown, K Burrascano, S Byun, C Campetella, G Cavender-Bares, J Chapin, FS Choat, B Coomes, DA Cornwell, WK Craine, J Craven, D Dainese, M De Araujo, AC De Vries, FT Domingues, TF Enquist, BJ Fagúndez, J Fang, J Fernández-Méndez, F Fernandez-Piedade, MT Ford, H Forey, E Freschet, GT Gachet, S Gallagher, R Green, W Guerin, GR Gutiérrez, AG Harrison, SP Hattingh, WN He, T Hickler, T Higgins, SI Higuchi, P Ilic, J Jackson, RB Jalili, A Jansen, S Koike, F König, C Kraft, N Kramer, K Kreft, H Kühn, I Kurokawa, H Lamb, EG Laughlin, DC Leishman, M Lewis, S Louault, F Malhado, ACM Manning, P Meir, P Mencuccini, M Messier, J Miller, R Minden, V Molofsky, J Montgomery, R Montserrat-Martí, G Moretti, M Müller, S Niinemets, Ü Ogaya, R Öllerer, K Onipchenko, V Onoda, Y Ozinga, WA Pausas, JG Peco, B Penuelas, J Pillar, VD Pladevall, C Römermann, C Sack, L Salinas, N Sandel, B Sardans, J Schamp, B Scherer-Lorenzen, M Schulze, E-D Schweingruber, F Shiodera, S Sosinski, Ê Soudzilovskaia, N Spasojevic, MJ Swaine, E Swenson, N Tautenhahn, S Thompson, K Totte, A Urrutia-Jalabert, R Valladares, F Van Bodegom, P Vasseur, F Verheyen, K Vile, D Violle, C Von Holle, B Weigelt, P Weiher, E Wiemann, MC Williams, M Wright, J Zotz, G |
Item Type: | Journal Article |
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. |
Issue Date: | 7-Dec-2022 |
Date of Acceptance: | 12-Oct-2022 |
URI: | http://hdl.handle.net/10044/1/102239 |
DOI: | 10.1038/s41597-022-01774-9 |
ISSN: | 2052-4463 |
Publisher: | Nature Research |
Start Page: | 1 |
End Page: | 18 |
Journal / Book Title: | Scientific Data |
Volume: | 9 |
Issue: | 1 |
Copyright Statement: | Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
Publication Status: | Published |
Conference Place: | England |
Article Number: | 755 |
Online Publication Date: | 2022-12-07 |
Appears in Collections: | Grantham Institute for Climate Change |
This item is licensed under a Creative Commons License