000888606 001__ 888606
000888606 005__ 20220930130300.0
000888606 0247_ $$2doi$$a10.1111/pce.13968
000888606 0247_ $$2ISSN$$a0140-7791
000888606 0247_ $$2ISSN$$a1365-3040
000888606 0247_ $$2Handle$$a2128/27576
000888606 0247_ $$2altmetric$$aaltmetric:96223153
000888606 0247_ $$2pmid$$a33280135
000888606 0247_ $$2WOS$$aWOS:000603321100001
000888606 037__ $$aFZJ-2020-05062
000888606 041__ $$aEnglish
000888606 082__ $$a580
000888606 1001_ $$0P:(DE-Juel1)144879$$aPostma, Johannes A.$$b0$$eCorresponding author
000888606 245__ $$aDividing the pie: A quantitative review on plant density responses
000888606 260__ $$aOxford [u.a.]$$bWiley-Blackwell$$c2021
000888606 3367_ $$2DRIVER$$aarticle
000888606 3367_ $$2DataCite$$aOutput Types/Journal article
000888606 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1618236726_21836
000888606 3367_ $$2BibTeX$$aARTICLE
000888606 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000888606 3367_ $$00$$2EndNote$$aJournal Article
000888606 520__ $$aPlant population density is an important variable in agronomy and forestry and offers an experimental way to better understand plant-plant competition. We made a meta-analysis of responses of even-aged mono-specific stands to population density, by quantifying for 3 stand and 33 individual plant variables in 334 experiments how much both plant biomass and phenotypic traits change with a doubling in density. Increasing density increases standing crop per area, but decreases the mean size of its individuals, mostly through reduced tillering and branching. Among the phenotypic traits, stem diameter is negatively affected, but plant height remains remarkably similar, partly due to an increased stem length:mass ratio, partly by increased allocation to stems. The reduction in biomass is caused by a lower photosynthetic rate, mainly due to shading of part of the foliage. Total seed mass per plant is also strongly reduced, marginally by lower mass per seed, but mainly because of lower seed numbers. Plants generally have fewer shoot-born roots, but their overall rooting depth seems little affected. The phenotypic plasticity responses to high densities correlate strongly with those to low-light, and less with those to low nutrients, suggesting that at high density, shading affects plants more than nutrient depletion.Keywords: plant population density, plant population dynamics, intra-specific competition, nutrient availability, shading, meta-analysis
000888606 536__ $$0G:(DE-HGF)POF4-899$$a899 - ohne Topic (POF4-899)$$cPOF4-899$$fPOF IV$$x0
000888606 588__ $$aDataset connected to CrossRef
000888606 7001_ $$0P:(DE-Juel1)174492$$aHecht, Vera L.$$b1$$ufzj
000888606 7001_ $$0P:(DE-HGF)0$$aHikosaka, Kouki$$b2
000888606 7001_ $$0P:(DE-HGF)0$$aNord, Eric A.$$b3
000888606 7001_ $$0P:(DE-HGF)0$$aPons, Thijs L.$$b4
000888606 7001_ $$0P:(DE-Juel1)129384$$aPoorter, Hendrik$$b5$$eCorresponding author$$ufzj
000888606 773__ $$0PERI:(DE-600)2020843-1$$a10.1111/pce.13968$$gp. pce.13968$$n4$$p1072-1094$$tPlant, cell & environment$$v44$$x1365-3040$$y2021
000888606 8564_ $$uhttps://juser.fz-juelich.de/record/888606/files/pce.13968.pdf$$yOpenAccess
000888606 8767_ $$d2020-12-10$$eHybrid-OA$$jDEAL$$lDEAL: Wiley
000888606 909CO $$ooai:juser.fz-juelich.de:888606$$pVDB$$pdriver$$pOpenAPC_DEAL$$popen_access$$popenaire$$popenCost$$pdnbdelivery
000888606 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)144879$$aForschungszentrum Jülich$$b0$$kFZJ
000888606 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)174492$$aForschungszentrum Jülich$$b1$$kFZJ
000888606 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129384$$aForschungszentrum Jülich$$b5$$kFZJ
000888606 9130_ $$0G:(DE-HGF)POF3-582$$1G:(DE-HGF)POF3-580$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lKey Technologies for the Bioeconomy$$vPlant Science$$x0
000888606 9131_ $$0G:(DE-HGF)POF4-899$$1G:(DE-HGF)POF4-890$$2G:(DE-HGF)POF4-800$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bProgrammungebundene Forschung$$lohne Programm$$vohne Topic$$x0
000888606 9141_ $$y2021
000888606 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2020-08-29
000888606 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2020-08-29
000888606 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2020-08-29
000888606 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2020-08-29
000888606 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2020-08-29
000888606 915__ $$0StatID:(DE-HGF)1060$$2StatID$$aDBCoverage$$bCurrent Contents - Agriculture, Biology and Environmental Sciences$$d2020-08-29
000888606 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bPLANT CELL ENVIRON : 2018$$d2020-08-29
000888606 915__ $$0StatID:(DE-HGF)3001$$2StatID$$aDEAL Wiley$$d2020-08-29$$wger
000888606 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences$$d2020-08-29
000888606 915__ $$0LIC:(DE-HGF)CCBYNC4$$2HGFVOC$$aCreative Commons Attribution-NonCommercial CC BY-NC 4.0
000888606 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2020-08-29
000888606 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2020-08-29
000888606 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000888606 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2020-08-29
000888606 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bPLANT CELL ENVIRON : 2018$$d2020-08-29
000888606 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2020-08-29
000888606 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2020-08-29$$wger
000888606 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2020-08-29
000888606 9201_ $$0I:(DE-Juel1)IBG-2-20101118$$kIBG-2$$lPflanzenwissenschaften$$x0
000888606 980__ $$ajournal
000888606 980__ $$aVDB
000888606 980__ $$aUNRESTRICTED
000888606 980__ $$aI:(DE-Juel1)IBG-2-20101118
000888606 980__ $$aAPC
000888606 9801_ $$aAPC
000888606 9801_ $$aFullTexts