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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DOI：
10.1038/s41597-022-01774-9
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发表时间：
2022-12-07
期刊：
影响因子：
9.8
通讯作者：
Zotz, Gerhard
中科院分区：
文献类型：
--
作者：
Diaz, Sandra;Kattge, Jens;Cornelissen, Johannes H. C.;Wright, Ian J.;Lavorel, Sandra;Dray, Stephane;Reu, Bjoern;Kleyer, Michael;Wirth, Christian;Prentice, I. Colin;Garnier, Eric;Boenisch, Gerhard;Westoby, Mark;Poorter, Hendrik;Reich, Peter B.;Moles, Angela T.;Dickie, John;Zanne, Amy E.;Chave, Jerome;Wright, S. Joseph;Sheremetiev, Serge N.;Jactel, Herve;Baraloto, Christopher;Cerabolini, Bruno E. L.;Pierce, Simon;Shipley, Bill;Casanoves, Fernando;Joswig, Julia S.;Guenther, Angela;Falczuk, Valeria;Rueger, Nadja;Mahecha, Miguel D.;Gorne, Lucas D.;Amiaud, Bernard;Atkin, Owen K.;Bahn, Michael;Baldocchi, Dennis;Beckmann, Michael;Blonder, Benjamin;Bond, William;Bond-Lamberty, Ben;Brown, Kerry;Burrascano, Sabina;Byun, Chaeho;Campetella, Giandiego;Cavender-Bares, Jeannine;Chapin, F. Stuart;Choat, Brendan;Coomes, David Anthony;Cornwell, William K.;Craine, Joseph;Craven, Dylan;Dainese, Matteo;de Araujo, Alessandro Carioca;de Vries, Franciska T.;Domingues, Tomas Ferreira;Enquist, Brian J.;Fagundez, Jaime;Fang, Jingyun;Fernandez-Mendez, Fernando;Fernandez-Piedade, Maria T.;Ford, Henry;Forey, Estelle;Freschet, Gregoire T.;Gachet, Sophie;Gallagher, Rachael;Green, Walton;Guerin, Greg R.;Gutierrez, Alvaro G.;Harrison, Sandy P.;Hattingh, Wesley Neil;He, Tianhua;Hickler, Thomas;Higgins, Steven I.;Higuchi, Pedro;Ilic, Jugo;Jackson, Robert B.;Jalili, Adel;Jansen, Steven;Koike, Fumito;Koenig, Christian;Kraft, Nathan;Kramer, Koen;Kreft, Holger;Kuehn, Ingolf;Kurokawa, Hiroko;Lamb, Eric G.;Laughlin, Daniel C.;Leishman, Michelle;Lewis, Simon;Louault, Frederique;Malhado, Ana C. M.;Manning, Peter;Meir, Patrick;Mencuccini, Maurizio;Messier, Julie;Miller, Regis;Minden, Vanessa;Molofsky, Jane;Montgomery, Rebecca;Montserrat-Marti, Gabriel;Moretti, Marco;Mueller, Sandra;Niinemets, UElo;Ogaya, Roma;Oellerer, Kinga;Onipchenko, Vladimir;Onoda, Yusuke;Ozinga, Wim A.;Pausas, Juli G.;Peco, Begona;Penuelas, Josep;Pillar, Valerio D.;Pladevall, Clara;Roemermann, Christine;Sack, Lawren;Salinas, Norma;Sandel, Brody;Sardans, Jordi;Schamp, Brandon;Scherer-Lorenzen, Michael;Schulze, Ernst-Detlef;Schweingruber, Fritz;Shiodera, Satomi;Sosinski, Enio;Soudzilovskaia, Nadejda;Spasojevic, Marko J.;Swaine, Emily;Swenson, Nathan;Tautenhahn, Susanne;Thompson, Ken;Totte, Alexia;Urrutia-Jalabert, Rocio;Valladares, Fernando;van Bodegom, Peter;Vasseur, Francois;Verheyen, Kris;Vile, Denis;Violle, Cyrille;von Holle, Betsy;Weigelt, Patrick;Weiher, Evan;Wiemann, Michael C.;Williams, Mathew;Wright, Justin;Zotz, Gerhard
这里我们提供了‘植物形态和功能的全球光谱数据集’，其中包含六个维管植物性状的物种平均值。这些性状--株高、茎比密度、叶面积、单位面积叶质量、每干质量叶氮含量和一水硬铝石(种子或孢子)质量--共同定义了植物形态和功能的主要变异轴。该数据集基于通过TRY数据库收到的大约100万条特征记录(代表大约2,500种原始出版物)和其他未公布的数据。它提供了6个性状的92,159个物种平均值，涵盖46,047个物种。这些数据由更高级别的分类分类和六个分类特征(木质、生长形式、肉质、对陆地或水生生境的适应性、营养类型和叶类型)补充。数据质量管理以概率方法为基础，并结合专家知识和外部信息进行全面验证。密集的数据采集和彻底的质量控制产生了迄今为止规模最大、据我们所知最准确的经验观察到的维管植物物种平均特性的汇编。
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.
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