001     888606
005     20220930130300.0
024 7 _ |a 10.1111/pce.13968
|2 doi
024 7 _ |a 0140-7791
|2 ISSN
024 7 _ |a 1365-3040
|2 ISSN
024 7 _ |a 2128/27576
|2 Handle
024 7 _ |a altmetric:96223153
|2 altmetric
024 7 _ |a 33280135
|2 pmid
024 7 _ |a WOS:000603321100001
|2 WOS
037 _ _ |a FZJ-2020-05062
041 _ _ |a English
082 _ _ |a 580
100 1 _ |a Postma, Johannes A.
|0 P:(DE-Juel1)144879
|b 0
|e Corresponding author
245 _ _ |a Dividing the pie: A quantitative review on plant density responses
260 _ _ |a Oxford [u.a.]
|c 2021
|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 1618236726_21836
|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 Plant population density is an important variable in agronomy and forestry and offers an experimental way to better understand plant-plant competition. We made a meta-analysis of responses of even-aged mono-specific stands to population density, by quantifying for 3 stand and 33 individual plant variables in 334 experiments how much both plant biomass and phenotypic traits change with a doubling in density. Increasing density increases standing crop per area, but decreases the mean size of its individuals, mostly through reduced tillering and branching. Among the phenotypic traits, stem diameter is negatively affected, but plant height remains remarkably similar, partly due to an increased stem length:mass ratio, partly by increased allocation to stems. The reduction in biomass is caused by a lower photosynthetic rate, mainly due to shading of part of the foliage. Total seed mass per plant is also strongly reduced, marginally by lower mass per seed, but mainly because of lower seed numbers. Plants generally have fewer shoot-born roots, but their overall rooting depth seems little affected. The phenotypic plasticity responses to high densities correlate strongly with those to low-light, and less with those to low nutrients, suggesting that at high density, shading affects plants more than nutrient depletion.Keywords: plant population density, plant population dynamics, intra-specific competition, nutrient availability, shading, meta-analysis
536 _ _ |a 899 - ohne Topic (POF4-899)
|0 G:(DE-HGF)POF4-899
|c POF4-899
|x 0
|f POF IV
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Hecht, Vera L.
|0 P:(DE-Juel1)174492
|b 1
|u fzj
700 1 _ |a Hikosaka, Kouki
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Nord, Eric A.
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Pons, Thijs L.
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Poorter, Hendrik
|0 P:(DE-Juel1)129384
|b 5
|e Corresponding author
|u fzj
773 _ _ |a 10.1111/pce.13968
|g p. pce.13968
|0 PERI:(DE-600)2020843-1
|n 4
|p 1072-1094
|t Plant, cell & environment
|v 44
|y 2021
|x 1365-3040
856 4 _ |u https://juser.fz-juelich.de/record/888606/files/pce.13968.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:888606
|p openaire
|p open_access
|p OpenAPC_DEAL
|p driver
|p VDB
|p openCost
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)144879
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)174492
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 5
|6 P:(DE-Juel1)129384
913 0 _ |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
913 1 _ |a DE-HGF
|b Programmungebundene Forschung
|l ohne Programm
|1 G:(DE-HGF)POF4-890
|0 G:(DE-HGF)POF4-899
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-800
|4 G:(DE-HGF)POF
|v ohne Topic
|x 0
914 1 _ |y 2021
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-08-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2020-08-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2020-08-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2020-08-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2020-08-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1060
|2 StatID
|b Current Contents - Agriculture, Biology and Environmental Sciences
|d 2020-08-29
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b PLANT CELL ENVIRON : 2018
|d 2020-08-29
915 _ _ |a DEAL Wiley
|0 StatID:(DE-HGF)3001
|2 StatID
|d 2020-08-29
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2020-08-29
915 _ _ |a Creative Commons Attribution-NonCommercial CC BY-NC 4.0
|0 LIC:(DE-HGF)CCBYNC4
|2 HGFVOC
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2020-08-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-08-29
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2020-08-29
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b PLANT CELL ENVIRON : 2018
|d 2020-08-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-08-29
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2020-08-29
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-08-29
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 _ _ |a APC
980 1 _ |a APC
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21