001     885504
005     20210104120108.0
024 7 _ |a 10.1111/geb.13179
|2 doi
024 7 _ |a 0960-7447
|2 ISSN
024 7 _ |a 1466-822X
|2 ISSN
024 7 _ |a 1466-8238
|2 ISSN
024 7 _ |a 2128/26633
|2 Handle
024 7 _ |a altmetric:89720720
|2 altmetric
024 7 _ |a WOS:000569059000001
|2 WOS
037 _ _ |a FZJ-2020-03884
082 _ _ |a 550
100 1 _ |a Guerrero‐Ramírez, Nathaly R.
|0 0000-0001-7311-9852
|b 0
|e Corresponding author
245 _ _ |a Global root traits (GRooT) database
260 _ _ |a Oxford [u.a.]
|c 2020
|b Wiley-Blackwell
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1609265298_10540
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a 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.
536 _ _ |a 582 - Plant Science (POF3-582)
|0 G:(DE-HGF)POF3-582
|c POF3-582
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Mommer, Liesje
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Freschet, Grégoire T.
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Iversen, Colleen M.
|0 P:(DE-HGF)0
|b 3
700 1 _ |a McCormack, M. Luke
|0 0000-0002-8300-5215
|b 4
700 1 _ |a Kattge, Jens
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Poorter, Hendrik
|0 P:(DE-Juel1)129384
|b 6
|u fzj
700 1 _ |a Plas, Fons
|0 P:(DE-HGF)0
|b 7
700 1 _ |a Bergmann, Joana
|0 P:(DE-HGF)0
|b 8
700 1 _ |a Kuyper, Thom W.
|0 P:(DE-HGF)0
|b 9
700 1 _ |a York, Larry M.
|0 P:(DE-HGF)0
|b 10
700 1 _ |a Bruelheide, Helge
|0 0000-0003-3135-0356
|b 11
700 1 _ |a Laughlin, Daniel C.
|0 P:(DE-HGF)0
|b 12
700 1 _ |a Meier, Ina C.
|0 P:(DE-HGF)0
|b 13
700 1 _ |a Roumet, Catherine
|0 P:(DE-HGF)0
|b 14
700 1 _ |a Semchenko, Marina
|0 P:(DE-HGF)0
|b 15
700 1 _ |a Sweeney, Christopher J.
|0 P:(DE-HGF)0
|b 16
700 1 _ |a Ruijven, Jasper
|0 P:(DE-HGF)0
|b 17
700 1 _ |a Valverde‐Barrantes, Oscar J.
|0 P:(DE-HGF)0
|b 18
700 1 _ |a Aubin, Isabelle
|0 0000-0002-5953-1012
|b 19
700 1 _ |a Catford, Jane A.
|0 P:(DE-HGF)0
|b 20
700 1 _ |a Manning, Peter
|0 P:(DE-HGF)0
|b 21
700 1 _ |a Martin, Adam
|0 P:(DE-HGF)0
|b 22
700 1 _ |a Milla, Rubén
|0 0000-0001-8912-4373
|b 23
700 1 _ |a Minden, Vanessa
|0 P:(DE-HGF)0
|b 24
700 1 _ |a Pausas, Juli G.
|0 0000-0003-3533-5786
|b 25
700 1 _ |a Smith, Stuart W.
|0 P:(DE-HGF)0
|b 26
700 1 _ |a Soudzilovskaia, Nadejda A.
|0 P:(DE-HGF)0
|b 27
700 1 _ |a Ammer, Christian
|0 P:(DE-HGF)0
|b 28
700 1 _ |a Butterfield, Bradley
|0 P:(DE-HGF)0
|b 29
700 1 _ |a Craine, Joseph
|0 P:(DE-HGF)0
|b 30
700 1 _ |a Cornelissen, Johannes H. C.
|0 P:(DE-HGF)0
|b 31
700 1 _ |a Vries, Franciska T.
|0 P:(DE-HGF)0
|b 32
700 1 _ |a Isaac, Marney E.
|0 P:(DE-HGF)0
|b 33
700 1 _ |a Kramer, Koen
|0 P:(DE-HGF)0
|b 34
700 1 _ |a König, Christian
|0 P:(DE-HGF)0
|b 35
700 1 _ |a Lamb, Eric G.
|0 P:(DE-HGF)0
|b 36
700 1 _ |a Onipchenko, Vladimir G.
|0 P:(DE-HGF)0
|b 37
700 1 _ |a Peñuelas, Josep
|0 P:(DE-HGF)0
|b 38
700 1 _ |a Reich, Peter B.
|0 P:(DE-HGF)0
|b 39
700 1 _ |a Rillig, Matthias C.
|0 P:(DE-HGF)0
|b 40
700 1 _ |a Sack, Lawren
|0 P:(DE-HGF)0
|b 41
700 1 _ |a Shipley, Bill
|0 P:(DE-HGF)0
|b 42
700 1 _ |a Tedersoo, Leho
|0 P:(DE-HGF)0
|b 43
700 1 _ |a Valladares, Fernando
|0 P:(DE-HGF)0
|b 44
700 1 _ |a Bodegom, Peter
|0 P:(DE-HGF)0
|b 45
700 1 _ |a Weigelt, Patrick
|0 P:(DE-HGF)0
|b 46
700 1 _ |a Wright, Justin P.
|0 P:(DE-HGF)0
|b 47
700 1 _ |a Weigelt, Alexandra
|0 P:(DE-HGF)0
|b 48
773 _ _ |a 10.1111/geb.13179
|g p. geb.13179
|0 PERI:(DE-600)2021283-5
|n 1
|p 25-37
|t Global ecology and biogeography
|v 30
|y 2020
|x 1466-8238
856 4 _ |u https://juser.fz-juelich.de/record/885504/files/geb.13179.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:885504
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 6
|6 P:(DE-Juel1)129384
913 1 _ |a DE-HGF
|b Key Technologies
|l Key Technologies for the Bioeconomy
|1 G:(DE-HGF)POF3-580
|0 G:(DE-HGF)POF3-582
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-500
|4 G:(DE-HGF)POF
|v Plant Science
|x 0
914 1 _ |y 2020
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-02-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2020-02-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2020-02-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2020-02-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2020-02-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1040
|2 StatID
|b Zoological Record
|d 2020-02-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1060
|2 StatID
|b Current Contents - Agriculture, Biology and Environmental Sciences
|d 2020-02-26
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b GLOBAL ECOL BIOGEOGR : 2018
|d 2020-02-26
915 _ _ |a DEAL Wiley
|0 StatID:(DE-HGF)3001
|2 StatID
|d 2020-02-26
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-02-26
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
|d 2020-02-26
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
|d 2020-02-26
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2020-02-26
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b GLOBAL ECOL BIOGEOGR : 2018
|d 2020-02-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
|d 2020-02-26
915 _ _ |a National-Konsortium
|0 StatID:(DE-HGF)0430
|2 StatID
|d 2020-02-26
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-02-26
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-02-26
920 _ _ |l no
920 1 _ |0 I:(DE-Juel1)IBG-2-20101118
|k IBG-2
|l Pflanzenwissenschaften
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)IBG-2-20101118
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21