TRY – a global database of plant traits
TRY – a global database of plant traits
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DOI：
10.1111/j.1365-2486.2011.02451.x
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发表时间：
2011-09
影响因子：
11.6
通讯作者：
Wirth C
中科院分区：
文献类型：
--
作者：
Kattge J;Díaz S;Lavorel S;Prentice IC;Leadley P;Bönisch G;Garnier E;Westoby M;Reich PB;Wright IJ;Cornelissen JH;Violle C;Harrison SP;Van Bodegom PM;Reichstein M;Enquist BJ;Soudzilovskaia NA;Ackerly DD;Anand M;Atkin O;Bahn M;Baker TR;Baldocchi D;Bekker R;Blanco CC;Blonder B;Bond WJ;Bradstock R;Bunker DE;Casanoves F;Cavender-Bares J;Chambers JQ;Chapin FS III;Chave J;Coomes D;Cornwell WK;Craine JM;Dobrin BH;Duarte L;Durka W;Elser J;Esser G;Estiarte M;Fagan WF;Fang J;Fernández-Méndez F;Fidelis A;Finegan B;Flores O;Ford H;Frank D;Freschet GT;Fyllas NM;Gallagher RV;Green WA;Gutierrez AG;Hickler T;Higgins SI;Hodgson JG;Jalili A;Jansen S;Joly CA;Kerkhoff AJ;Kirkup D;Kitajima K;Kleyer M;Klotz S;Knops JM;Kramer K;Kühn I;Kurokawa H;Laughlin D;Lee TD;Leishman M;Lens F;Lenz T;Lewis SL;Lloyd J;Llusià J;Louault F;Ma S;Mahecha MD;Manning P;Massad T;Medlyn BE;Messier J;Moles AT;Müller SC;Nadrowski K;Naeem S;Niinemets Ü;Nöllert S;Nüske A;Ogaya R;Oleksyn J;Onipchenko VG;Onoda Y;Ordoñez J;Overbeck G;Ozinga WA;Patiño S;Paula S;Pausas JG;Peñuelas J;Phillips OL;Pillar V;Poorter H;Poorter L;Poschlod P;Prinzing A;Proulx R;Rammig A;Reinsch S;Reu B;Sack L;Salgado-Negret B;Sardans J;Shiodera S;Shipley B;Siefert A;Sosinski E;Soussana JF;Swaine E;Swenson N;Thompson K;Thornton P;Waldram M;Weiher E;White M;White S;Wright SJ;Yguel B;Zaehle S;Zanne AE;Wirth C
植物特性--植物及其器官的形态、解剖、生理、生化和物候特性--决定初级生产者如何对环境因素作出反应，影响其他营养水平，影响生态系统过程和服务，并提供从物种丰富度到生态系统功能多样性的联系。因此，特征数据代表了从进化生物学、群落和功能生态学到生物地理学的广泛研究的原材料。在这里，我们介绍了名为Try的全球数据库倡议，该倡议联合了世界各地广泛的植物性状研究社区，并获得了前所未有的对性状数据的接受：到目前为止，已贡献了93个性状数据库。该数据库目前包含全球30万种植物中6.9万种植物的近300万个特征条目，重点是描述植物生命周期的营养和再生阶段的52组特征，包括生长、扩散、建立和持续。最初的数据分析表明，大多数植物性状近似为对数正态分布，不同性状的变异范围相差很大。大多数性状变异是在物种之间(种间)，但也记录了显著的种内变异，高达总变异的40%。植被模型中常用的植物功能类型(PFT)捕捉了观测到的变异的很大一部分，但对于一些性状，大多数变异发生在PFT内，高达总变异的75%。在植被模型的背景下，这些特征最好用状态变量来表示，而不是固定的参数值。统一全球数据库中植物特征数据可用性的提高预计将支持从物种到以特征为基础的生态学的范式转变，为综合植物特征研究提供新的机会，并能够在地球系统模型中更现实和更有经验地表示陆地植被。
Plant traits – the morphological, anatomical, physiological, biochemical and phenological characteristics of plants and their organs – determine how primary producers respond to environmental factors, affect other trophic levels, influence ecosystem processes and services and provide a link from species richness to ecosystem functional diversity. Trait data thus represent the raw material for a wide range of research from evolutionary biology, community and functional ecology to biogeography. Here we present the global database initiative named TRY, which has united a wide range of the plant trait research community worldwide and gained an unprecedented buy-in of trait data: so far 93 trait databases have been contributed. The data repository currently contains almost three million trait entries for 69 000 out of the world's 300 000 plant species, with a focus on 52 groups of traits characterizing the vegetative and regeneration stages of the plant life cycle, including growth, dispersal, establishment and persistence. A first data analysis shows that most plant traits are approximately log-normally distributed, with widely differing ranges of variation across traits. Most trait variation is between species (interspecific), but significant intraspecific variation is also documented, up to 40% of the overall variation. Plant functional types (PFTs), as commonly used in vegetation models, capture a substantial fraction of the observed variation – but for several traits most variation occurs within PFTs, up to 75% of the overall variation. In the context of vegetation models these traits would better be represented by state variables rather than fixed parameter values. The improved availability of plant trait data in the unified global database is expected to support a paradigm shift from species to trait-based ecology, offer new opportunities for synthetic plant trait research and enable a more realistic and empirically grounded representation of terrestrial vegetation in Earth system models.
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影响因子：
8.8
作者：
Ackerly, D. D.;Cornwell, W. K.
通讯作者：
Cornwell, W. K.
影响因子：
2.7
作者：
Atkin, OK;Schortemeyer, M;Evans, JR
通讯作者：
Evans, JR
影响因子：
7.4
作者：
Atkin, OK;Westbeek, MHM;Pons, TL
通讯作者：
Pons, TL
影响因子：
5.2
作者：
Albert, Cecile Helene;Thuiller, Wilfried;Lavorel, Sandra
通讯作者：
Lavorel, Sandra
影响因子：
5.5
作者：
Albert, Cecile Helene;Thuiller, Wilfried;Lavorel, Sandra
通讯作者：
Lavorel, Sandra