000820926 001__ 820926
000820926 005__ 20210129224652.0
000820926 0247_ $$2doi$$a10.1371/journal.pone.0151782
000820926 0247_ $$2Handle$$a2128/12795
000820926 0247_ $$2WOS$$aWOS:000373608000007
000820926 0247_ $$2altmetric$$aaltmetric:6557332
000820926 0247_ $$2pmid$$apmid:27055028
000820926 037__ $$aFZJ-2016-06190
000820926 082__ $$a500
000820926 1001_ $$0P:(DE-HGF)0$$aHoffmann, Holger$$b0$$eCorresponding author
000820926 245__ $$aImpact of Spatial Soil and Climate Input Data Aggregation on Regional Yield Simulations
000820926 260__ $$aLawrence, Kan.$$bPLoS$$c2016
000820926 3367_ $$2DRIVER$$aarticle
000820926 3367_ $$2DataCite$$aOutput Types/Journal article
000820926 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1479137272_4504
000820926 3367_ $$2BibTeX$$aARTICLE
000820926 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000820926 3367_ $$00$$2EndNote$$aJournal Article
000820926 520__ $$aWe show the error in water-limited yields simulated by crop models which is associated with spatially aggregated soil and climate input data. Crop simulations at large scales (regional, national, continental) frequently use input data of low resolution. Therefore, climate and soil data are often generated via averaging and sampling by area majority. This may bias simulated yields at large scales, varying largely across models. Thus, we evaluated the error associated with spatially aggregated soil and climate data for 14 crop models. Yields of winter wheat and silage maize were simulated under water-limited production conditions. We calculated this error from crop yields simulated at spatial resolutions from 1 to 100 km for the state of North Rhine-Westphalia, Germany. Most models showed yields biased by <15% when aggregating only soil data. The relative mean absolute error (rMAE) of most models using aggregated soil data was in the range or larger than the inter-annual or inter-model variability in yields. This error increased further when both climate and soil data were aggregated. Distinct error patterns indicate that the rMAE may be estimated from few soil variables. Illustrating the range of these aggregation effects across models, this study is a first step towards an ex-ante assessment of aggregation errors in large-scale simulations.
000820926 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x0
000820926 588__ $$aDataset connected to CrossRef
000820926 7001_ $$0P:(DE-HGF)0$$aZhao, Gang$$b1
000820926 7001_ $$0P:(DE-HGF)0$$aAsseng, Senthold$$b2
000820926 7001_ $$0P:(DE-HGF)0$$aBindi, Marco$$b3
000820926 7001_ $$0P:(DE-HGF)0$$aBiernath, Christian$$b4
000820926 7001_ $$0P:(DE-HGF)0$$aConstantin, Julie$$b5
000820926 7001_ $$0P:(DE-HGF)0$$aCoucheney, Elsa$$b6
000820926 7001_ $$0P:(DE-HGF)0$$aDechow, Rene$$b7
000820926 7001_ $$0P:(DE-HGF)0$$aDoro, Luca$$b8
000820926 7001_ $$0P:(DE-HGF)0$$aEckersten, Henrik$$b9
000820926 7001_ $$0P:(DE-HGF)0$$aGaiser, Thomas$$b10
000820926 7001_ $$0P:(DE-HGF)0$$aGrosz, Balázs$$b11
000820926 7001_ $$0P:(DE-HGF)0$$aHeinlein, Florian$$b12
000820926 7001_ $$0P:(DE-HGF)0$$aKassie, Belay T.$$b13
000820926 7001_ $$0P:(DE-HGF)0$$aKersebaum, Kurt-Christian$$b14
000820926 7001_ $$0P:(DE-HGF)0$$aKlein, Christian$$b15
000820926 7001_ $$0P:(DE-HGF)0$$aKuhnert, Matthias$$b16
000820926 7001_ $$0P:(DE-HGF)0$$aLewan, Elisabet$$b17
000820926 7001_ $$0P:(DE-HGF)0$$aMoriondo, Marco$$b18
000820926 7001_ $$0P:(DE-HGF)0$$aNendel, Claas$$b19
000820926 7001_ $$0P:(DE-HGF)0$$aPriesack, Eckart$$b20
000820926 7001_ $$0P:(DE-HGF)0$$aRaynal, Helene$$b21
000820926 7001_ $$0P:(DE-HGF)0$$aRoggero, Pier P.$$b22
000820926 7001_ $$0P:(DE-HGF)0$$aRötter, Reimund P.$$b23
000820926 7001_ $$0P:(DE-HGF)0$$aSiebert, Stefan$$b24
000820926 7001_ $$0P:(DE-HGF)0$$aSpecka, Xenia$$b25
000820926 7001_ $$0P:(DE-HGF)0$$aTao, Fulu$$b26
000820926 7001_ $$0P:(DE-HGF)0$$aTeixeira, Edmar$$b27
000820926 7001_ $$0P:(DE-HGF)0$$aTrombi, Giacomo$$b28
000820926 7001_ $$0P:(DE-HGF)0$$aWallach, Daniel$$b29
000820926 7001_ $$0P:(DE-Juel1)129553$$aWeihermüller, Lutz$$b30
000820926 7001_ $$0P:(DE-HGF)0$$aYeluripati, Jagadeesh$$b31
000820926 7001_ $$0P:(DE-HGF)0$$aEwert, Frank$$b32
000820926 773__ $$0PERI:(DE-600)2267670-3$$a10.1371/journal.pone.0151782$$gVol. 11, no. 4, p. e0151782 -$$n4$$pe0151782 -$$tPLoS one$$v11$$x1932-6203$$y2016
000820926 8564_ $$uhttps://juser.fz-juelich.de/record/820926/files/journal.pone.0151782.pdf$$yOpenAccess
000820926 8564_ $$uhttps://juser.fz-juelich.de/record/820926/files/journal.pone.0151782.gif?subformat=icon$$xicon$$yOpenAccess
000820926 8564_ $$uhttps://juser.fz-juelich.de/record/820926/files/journal.pone.0151782.jpg?subformat=icon-1440$$xicon-1440$$yOpenAccess
000820926 8564_ $$uhttps://juser.fz-juelich.de/record/820926/files/journal.pone.0151782.jpg?subformat=icon-180$$xicon-180$$yOpenAccess
000820926 8564_ $$uhttps://juser.fz-juelich.de/record/820926/files/journal.pone.0151782.jpg?subformat=icon-640$$xicon-640$$yOpenAccess
000820926 8564_ $$uhttps://juser.fz-juelich.de/record/820926/files/journal.pone.0151782.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000820926 909CO $$ooai:juser.fz-juelich.de:820926$$pdnbdelivery$$pVDB$$pVDB:Earth_Environment$$pdriver$$popen_access$$popenaire
000820926 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129553$$aForschungszentrum Jülich$$b30$$kFZJ
000820926 9131_ $$0G:(DE-HGF)POF3-255$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bErde und Umwelt$$lTerrestrische Umwelt$$vTerrestrial Systems: From Observation to Prediction$$x0
000820926 9141_ $$y2016
000820926 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000820926 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews
000820926 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000820926 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search
000820926 915__ $$0StatID:(DE-HGF)1040$$2StatID$$aDBCoverage$$bZoological Record
000820926 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bPLOS ONE : 2015
000820926 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal
000820926 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ
000820926 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000820926 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000820926 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5
000820926 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000820926 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC
000820926 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database
000820926 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000820926 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List
000820926 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x0
000820926 980__ $$ajournal
000820926 980__ $$aVDB
000820926 980__ $$aUNRESTRICTED
000820926 980__ $$aI:(DE-Juel1)IBG-3-20101118
000820926 9801_ $$aFullTexts