001     908400
005     20230112132720.0
024 7 _ |a 10.3389/fpls.2022.798741
|2 doi
024 7 _ |a 2128/31454
|2 Handle
024 7 _ |a altmetric:123016799
|2 altmetric
024 7 _ |a pmid:35237283
|2 pmid
024 7 _ |a WOS:000761659600001
|2 WOS
037 _ _ |a FZJ-2022-02590
082 _ _ |a 570
100 1 _ |a Khare, Deepanshu
|0 P:(DE-Juel1)177009
|b 0
|e Corresponding author
|u fzj
245 _ _ |a Root System Scale Models Significantly Overestimate Root Water Uptake at Drying Soil Conditions
260 _ _ |a Lausanne
|c 2022
|b Frontiers Media
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 1657270581_27127
|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 Soil hydraulic conductivity (ksoil) drops significantly in dry soils, resulting in steep soil water potential gradients (ψs) near plant roots during water uptake. Coarse soil grid resolutions in root system scale (RSS) models of root water uptake (RWU) generally do not spatially resolve this gradient in drying soils which can lead to a large overestimation of RWU. To quantify this, we consider a benchmark scenario of RWU from drying soil for which a numerical reference solution is available. We analyze this problem using a finite volume scheme and investigate the impact of grid size on the RSS model results. At dry conditions, the cumulative RWU was overestimated by up to 300% for the coarsest soil grid of 4.0 cm and by 30% for the finest soil grid of 0.2 cm, while the computational demand increased from 19 s to 21 h. As an accurate and computationally efficient alternative to the RSS model, we implemented a continuum multi-scale model where we keep a coarse grid resolution for the bulk soil, but in addition, we solve a 1-dimensional radially symmetric soil model at rhizosphere scale around individual root segments. The models at the two scales are coupled in a mass-conservative way. The multi-scale model compares best to the reference solution (−20%) at much lower computational costs of 4min. Our results demonstrate the need to shift to improved RWU models when simulating dry soil conditions and highlight that results for dry conditions obtained with RSS models of RWU should be interpreted with caution.
536 _ _ |a 2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)
|0 G:(DE-HGF)POF4-2173
|c POF4-217
|f POF IV
|x 0
536 _ _ |a Advancing structural-functional modelling of root growth and root-soilinteractions based on automatic reconstruction of root systems fromMRI (274830790)
|0 G:(GEPRIS)274830790
|c 274830790
|x 1
536 _ _ |a EXC 2070:  PhenoRob - Robotics and Phenotyping for Sustainable Crop Production (390732324)
|0 G:(BMBF)390732324
|c 390732324
|x 2
536 _ _ |a BonaRes - (Modul A, Phase 2): Soil3-II - Nachhaltiges Unterbodenmanagement, Teilprojekt C (031B0515C)
|0 G:(BMBF)031B0515C
|c 031B0515C
|x 3
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Selzner, Tobias
|0 P:(DE-Juel1)179508
|b 1
|e Corresponding author
|u fzj
700 1 _ |a Leitner, Daniel
|0 P:(DE-Juel1)187335
|b 2
|u fzj
700 1 _ |a Vanderborght, Jan
|0 P:(DE-Juel1)129548
|b 3
|u fzj
700 1 _ |a Vereecken, Harry
|0 P:(DE-Juel1)129549
|b 4
|u fzj
700 1 _ |a Schnepf, Andrea
|0 P:(DE-Juel1)157922
|b 5
|u fzj
773 _ _ |a 10.3389/fpls.2022.798741
|g Vol. 13, p. 798741
|0 PERI:(DE-600)2711035-7
|p 798741
|t Frontiers in Functional Plant Ecology
|v 13
|y 2022
|x 1664-462X
856 4 _ |u https://juser.fz-juelich.de/record/908400/files/fpls-13-798741.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:908400
|p openaire
|p open_access
|p OpenAPC
|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)177009
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)179508
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)187335
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)129548
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)129549
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 5
|6 P:(DE-Juel1)157922
913 1 _ |a DE-HGF
|b Forschungsbereich Erde und Umwelt
|l Erde im Wandel – Unsere Zukunft nachhaltig gestalten
|1 G:(DE-HGF)POF4-210
|0 G:(DE-HGF)POF4-217
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-200
|4 G:(DE-HGF)POF
|v Für eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten
|9 G:(DE-HGF)POF4-2173
|x 0
914 1 _ |y 2022
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a Peer Review unknown
|0 StatID:(DE-HGF)0040
|2 StatID
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 p c |a Local Funding
|2 APC
|0 PC:(DE-HGF)0001
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IBG-3-20101118
|k IBG-3
|l Agrosphäre
|x 0
980 1 _ |a FullTexts
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)IBG-3-20101118
980 _ _ |a APC


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21