001     862782
005     20220930130212.0
024 7 _ |a 10.2136/vzj2018.11.0196
|2 doi
024 7 _ |a 2128/22209
|2 Handle
024 7 _ |a WOS:000462795600001
|2 WOS
024 7 _ |a altmetric:58530237
|2 altmetric
037 _ _ |a FZJ-2019-03008
082 _ _ |a 550
100 1 _ |a Landl, Magdalena
|0 P:(DE-Juel1)165987
|b 0
|e Corresponding author
245 _ _ |a Modeling the Impact of Biopores on Root Growth and Root Water Uptake
260 _ _ |a Alexandria, Va.
|c 2019
|b GeoScienceWorld
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 1567774017_14354
|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 Roots are known to use biopores as preferential growth pathways to overcome hard soil layers and access subsoil water resources. This study evaluates root–biopore interactions at the root-system scale under different soil physical and environmental conditions using a mechanistic simulation model and extensive experimental field data. In a field experiment, spring wheat (Triticum aestivum L.) was grown on silt loam with a large biopore density. X-ray computed tomography scans of soil columns from the field site were used to provide a realistic biopore network as input for the three-dimensional numerical R-SWMS model, which was then applied to simulate root architecture as well as water flow in the root–biopore–soil continuum. The model was calibrated against observed root length densities in both the bulk soil and biopores by optimizing root growth model input parameters. By implementing known interactions between root growth and soil penetration resistance into our model, we could simulate root systems whose response to biopores in the soil corresponded well to experimental observations described in the literature, such as increased total root length and increased rooting depth. For all considered soil physical (soil texture and bulk density) and environmental conditions (years of varying dryness), we found biopores to substantially mitigate transpiration deficits in times of drought by allowing roots to take up water from wetter and deeper soil layers. This was even the case when assuming reduced root water uptake in biopores due to limited root–soil contact. The beneficial impact of biopores on root water uptake was larger for more compact and less conductive soils.
536 _ _ |a 255 - Terrestrial Systems: From Observation to Prediction (POF3-255)
|0 G:(DE-HGF)POF3-255
|c POF3-255
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Schnepf, Andrea
|0 P:(DE-Juel1)157922
|b 1
700 1 _ |a Uteau, Daniel
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Peth, Stephan
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Athmann, Miriam
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Kautz, Timo
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Perkons, Ute
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Vereecken, Harry
|0 P:(DE-Juel1)129549
|b 7
700 1 _ |a Vanderborght, Jan
|0 P:(DE-Juel1)129548
|b 8
773 _ _ |a 10.2136/vzj2018.11.0196
|g Vol. 18, no. 1, p. 0 -
|0 PERI:(DE-600)2088189-7
|n 1
|p 0 -
|t Vadose zone journal
|v 18
|y 2019
|x 1539-1663
856 4 _ |u https://juser.fz-juelich.de/record/862782/files/Inv-716286.pdf
856 4 _ |u https://juser.fz-juelich.de/record/862782/files/Landl_Modeling%20the%20impact%20of%20bp%20on%20root%20growth%20and%20root%20water%20uptake.pdf
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/862782/files/Landl_Modeling%20the%20impact%20of%20bp%20on%20root%20growth%20and%20root%20water%20uptake.pdf?subformat=pdfa
|x pdfa
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/862782/files/Inv-716286.pdf?subformat=pdfa
|x pdfa
909 C O |o oai:juser.fz-juelich.de:862782
|p openaire
|p open_access
|p OpenAPC
|p driver
|p VDB:Earth_Environment
|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)165987
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)157922
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 7
|6 P:(DE-Juel1)129549
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 8
|6 P:(DE-Juel1)129548
913 1 _ |a DE-HGF
|l Terrestrische Umwelt
|1 G:(DE-HGF)POF3-250
|0 G:(DE-HGF)POF3-255
|2 G:(DE-HGF)POF3-200
|v Terrestrial Systems: From Observation to Prediction
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Erde und Umwelt
914 1 _ |y 2019
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
|0 LIC:(DE-HGF)CCBYNCND4
|2 HGFVOC
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b VADOSE ZONE J : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1060
|2 StatID
|b Current Contents - Agriculture, Biology and Environmental Sciences
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IBG-3-20101118
|k IBG-3
|l Agrosphäre
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)IBG-3-20101118
980 _ _ |a APC
980 _ _ |a UNRESTRICTED
980 1 _ |a APC
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21