000888221 001__ 888221
000888221 005__ 20210130010843.0
000888221 0247_ $$2Handle$$a2128/26357
000888221 0247_ $$2ISSN$$a1866-1793
000888221 020__ $$a978-3-95806-510-9
000888221 037__ $$aFZJ-2020-04774
000888221 041__ $$aEnglish
000888221 1001_ $$0P:(DE-Juel1)168418$$aBrogi, Cosimo$$b0$$eCorresponding author$$gmale$$ufzj
000888221 245__ $$aGeophysics-based soil mapping for improved modelling of spatial variability in crop growth and yield$$f- 2019-11-08
000888221 260__ $$aJülich$$bForschungszentrum Jülich GmbH Zentralbibliothek, Verlag$$c2020
000888221 300__ $$axxi, 127 S.
000888221 3367_ $$2DataCite$$aOutput Types/Dissertation
000888221 3367_ $$0PUB:(DE-HGF)3$$2PUB:(DE-HGF)$$aBook$$mbook
000888221 3367_ $$2ORCID$$aDISSERTATION
000888221 3367_ $$2BibTeX$$aPHDTHESIS
000888221 3367_ $$02$$2EndNote$$aThesis
000888221 3367_ $$0PUB:(DE-HGF)11$$2PUB:(DE-HGF)$$aDissertation / PhD Thesis$$bphd$$mphd$$s1607259405_14041
000888221 3367_ $$2DRIVER$$adoctoralThesis
000888221 4900_ $$aSchriften des Forschungszentrums Jülich. Reihe Energie & Umwelt / Energy & Environment$$v518
000888221 502__ $$aUniversität Stuttgart, Diss., 2019$$bDissertation$$cUniversität Stuttgart$$d2019
000888221 520__ $$aWater shortage is one of the predominant factors that can directly or indirectly cause a reduction in crop yield and thus poses a severe threat to sustainable crop production. It is therefore critical to improve the sustainability of current agricultural management practices and develop new strategies that will allow the establishment of more sustainable agricultural production systems that can meet present and future food demand. The use of agro-ecosystem models to simulate crop growth for given environmental conditions, and the use of detailed information on soil heterogeneity beyond the field scale are among the most promising tools for achieving this goal. Soil properties are a key control for water and nutrient availability and are therefore co-responsible for yield gaps and harvest failures. A detailed representation of  the spatial variability of soil is consequently essential for establishing relevant spatially distributed agro-ecosystem simulations of crop performance in response to water stress. Unfortunately, a detailed soil representation is costly to obtain, and generally cannot be substituted by the use of existing general-purpose soil maps that lack the necessary level of detail. Recently, improvements in digital soil mapping have been made using non-invasive geophysical methods such as electromagnetic induction (EMI) that provide fast and costeffective mapping of relevant soil information. It is however still challenging to derive information relevant for agricultural management from large geophysical datasets and their added value for agricultural applications has not been fully investigated yet, especially for the analysis of patterns in crop performance. This thesis aims at investigating and quantifying the added value of detailed soil information obtained using large-scale geophysical mapping for the simulation and prediction of the spatial variability of crop growth and yield obtained with agro-ecosystem modelling. [...]
000888221 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x0
000888221 8564_ $$uhttps://juser.fz-juelich.de/record/888221/files/Energie_Umwelt_518.pdf$$yOpenAccess
000888221 909CO $$ooai:juser.fz-juelich.de:888221$$pdnbdelivery$$pVDB$$pVDB:Earth_Environment$$pdriver$$popen_access$$popenaire
000888221 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000888221 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000888221 9141_ $$y2020
000888221 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)168418$$aForschungszentrum Jülich$$b0$$kFZJ
000888221 9131_ $$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$$x0
000888221 920__ $$lyes
000888221 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x0
000888221 980__ $$aphd
000888221 980__ $$aVDB
000888221 980__ $$aUNRESTRICTED
000888221 980__ $$abook
000888221 980__ $$aI:(DE-Juel1)IBG-3-20101118
000888221 9801_ $$aFullTexts