001     888221
005     20210130010843.0
020 _ _ |a 978-3-95806-510-9
024 7 _ |2 Handle
|a 2128/26357
024 7 _ |2 ISSN
|a 1866-1793
037 _ _ |a FZJ-2020-04774
041 _ _ |a English
100 1 _ |0 P:(DE-Juel1)168418
|a Brogi, Cosimo
|b 0
|e Corresponding author
|g male
|u fzj
245 _ _ |a Geophysics-based soil mapping for improved modelling of spatial variability in crop growth and yield
|f - 2019-11-08
260 _ _ |a Jülich
|b Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag
|c 2020
300 _ _ |a xxi, 127 S.
336 7 _ |2 DataCite
|a Output Types/Dissertation
336 7 _ |0 PUB:(DE-HGF)3
|2 PUB:(DE-HGF)
|a Book
|m book
336 7 _ |2 ORCID
|a DISSERTATION
336 7 _ |2 BibTeX
|a PHDTHESIS
336 7 _ |0 2
|2 EndNote
|a Thesis
336 7 _ |0 PUB:(DE-HGF)11
|2 PUB:(DE-HGF)
|a Dissertation / PhD Thesis
|b phd
|m phd
|s 1607259405_14041
336 7 _ |2 DRIVER
|a doctoralThesis
490 0 _ |a Schriften des Forschungszentrums Jülich. Reihe Energie & Umwelt / Energy & Environment
|v 518
502 _ _ |a Universität Stuttgart, Diss., 2019
|b Dissertation
|c Universität Stuttgart
|d 2019
520 _ _ |a Water shortage is one of the predominant factors that can directly or indirectly cause a reduction in crop yield and thus poses a severe threat to sustainable crop production. It is therefore critical to improve the sustainability of current agricultural management practices and develop new strategies that will allow the establishment of more sustainable agricultural production systems that can meet present and future food demand. The use of agro-ecosystem models to simulate crop growth for given environmental conditions, and the use of detailed information on soil heterogeneity beyond the field scale are among the most promising tools for achieving this goal. Soil properties are a key control for water and nutrient availability and are therefore co-responsible for yield gaps and harvest failures. A detailed representation of the spatial variability of soil is consequently essential for establishing relevant spatially distributed agro-ecosystem simulations of crop performance in response to water stress. Unfortunately, a detailed soil representation is costly to obtain, and generally cannot be substituted by the use of existing general-purpose soil maps that lack the necessary level of detail. Recently, improvements in digital soil mapping have been made using non-invasive geophysical methods such as electromagnetic induction (EMI) that provide fast and costeffective mapping of relevant soil information. It is however still challenging to derive information relevant for agricultural management from large geophysical datasets and their added value for agricultural applications has not been fully investigated yet, especially for the analysis of patterns in crop performance. This thesis aims at investigating and quantifying the added value of detailed soil information obtained using large-scale geophysical mapping for the simulation and prediction of the spatial variability of crop growth and yield obtained with agro-ecosystem modelling. [...]
536 _ _ |0 G:(DE-HGF)POF3-255
|a 255 - Terrestrial Systems: From Observation to Prediction (POF3-255)
|c POF3-255
|f POF III
|x 0
856 4 _ |u https://juser.fz-juelich.de/record/888221/files/Energie_Umwelt_518.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:888221
|p openaire
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|p driver
|p VDB:Earth_Environment
|p VDB
|p dnbdelivery
910 1 _ |0 I:(DE-588b)5008462-8
|6 P:(DE-Juel1)168418
|a Forschungszentrum Jülich
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|k FZJ
913 1 _ |0 G:(DE-HGF)POF3-255
|1 G:(DE-HGF)POF3-250
|2 G:(DE-HGF)POF3-200
|a DE-HGF
|l Terrestrische Umwelt
|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 2020
915 _ _ |0 StatID:(DE-HGF)0510
|2 StatID
|a OpenAccess
915 _ _ |0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
|a Creative Commons Attribution CC BY 4.0
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IBG-3-20101118
|k IBG-3
|l Agrosphäre
|x 0
980 _ _ |a phd
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a book
980 _ _ |a I:(DE-Juel1)IBG-3-20101118
980 1 _ |a FullTexts


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