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Global root traits (GRooT) database
Global Ecology and Biogeography ( IF 6.4 ) Pub Date : 2020-09-09 , DOI: 10.1111/geb.13179
Nathaly R. Guerrero‐Ramírez 1, 2 , Liesje Mommer 3 , Grégoire T. Freschet 4 , Colleen M. Iversen 5 , M. Luke McCormack 6 , Jens Kattge 1, 7 , Hendrik Poorter 8, 9 , Fons Plas 10 , Joana Bergmann 11, 12 , Thom W. Kuyper 13 , Larry M. York 14 , Helge Bruelheide 1, 15 , Daniel C. Laughlin 16 , Ina C. Meier 17 , Catherine Roumet 18 , Marina Semchenko 19 , Christopher J. Sweeney 19 , Jasper Ruijven 3 , Oscar J. Valverde‐Barrantes 20 , Isabelle Aubin 21 , Jane A. Catford 22 , Peter Manning 23 , Adam Martin 24 , Rubén Milla 25 , Vanessa Minden 26, 27 , Juli G. Pausas 28 , Stuart W. Smith 29, 30 , Nadejda A. Soudzilovskaia 31 , Christian Ammer 32 , Bradley Butterfield 33, 34 , Joseph Craine 35 , Johannes H. C. Cornelissen 36 , Franciska T. Vries 37 , Marney E. Isaac 24 , Koen Kramer 38 , Christian König 39 , Eric G. Lamb 40 , Vladimir G. Onipchenko 41 , Josep Peñuelas 42, 43 , Peter B. Reich 44, 45 , Matthias C. Rillig 11, 12 , Lawren Sack 46 , Bill Shipley 47 , Leho Tedersoo 48, 49 , Fernando Valladares 50 , Peter Bodegom 31 , Patrick Weigelt 2 , Justin P. Wright 51 , Alexandra Weigelt 1, 10
Affiliation  

Trait data are fundamental to the quantitative description of plant form and function. Although root traits capture key dimensions related to plant responses to changing environmental conditions and effects on ecosystem processes, they have rarely been included in large‐scale comparative studies and global models. For instance, root traits remain absent from nearly all studies that define the global spectrum of plant form and function. Thus, to overcome conceptual and methodological roadblocks preventing a widespread integration of root trait data into large‐scale analyses we created the Global Root Trait (GRooT) Database. GRooT provides ready‐to‐use data by combining the expertise of root ecologists with data mobilization and curation. Specifically, we (a) determined a set of core root traits relevant to the description of plant form and function based on an assessment by experts, (b) maximized species coverage through data standardization within and among traits, and (c) implemented data quality checks.

中文翻译:

全局根特征(GRooT)数据库

性状数据是定量描述植物形态和功能的基础。尽管根性状捕获了与植物对不断变化的环境条件以及对生态系统过程的影响有关的关键维度,但很少将其纳入大规模比较研究和全球模型中。例如,几乎所有定义全球植物形态和功能谱的研究都缺乏根性状。因此,为了克服阻止将根性状数据广泛集成到大规模分析中的概念和方法上的障碍,我们创建了全球根性状(GRooT)数据库。GRooT通过将根生态学家的专业知识与数据动员和管理结合起来,提供现成的数据。特别,
更新日期:2020-09-09
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