000829735 001__ 829735 000829735 005__ 20210129230336.0 000829735 037__ $$aFZJ-2017-03373 000829735 0881_ $$aEGU2017-1851 000829735 088__ $$2Other$$aEGU2017-1851 000829735 1001_ $$0P:(DE-Juel1)157922$$aSchnepf, Andrea$$b0$$eCorresponding author$$ufzj 000829735 1112_ $$aEuropean Geoscience Union General Assembly 2017$$cVienna$$d2017-04-27 - 2017-04-27$$wAustria 000829735 245__ $$aComparing root architectural models 000829735 260__ $$c2017 000829735 3367_ $$033$$2EndNote$$aConference Paper 000829735 3367_ $$2DataCite$$aOther 000829735 3367_ $$2BibTeX$$aINPROCEEDINGS 000829735 3367_ $$2DRIVER$$aconferenceObject 000829735 3367_ $$0PUB:(DE-HGF)29$$2PUB:(DE-HGF)$$aReport$$mreport 000829735 3367_ $$2ORCID$$aLECTURE_SPEECH 000829735 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1493897065_17276$$xOther 000829735 520__ $$aPlant roots play an important role in several soil processes (Gregory 2006). Root architecture development deter-mines the sites in soil where roots provide input of carbon and energy and take up water and solutes. However, rootarchitecture is difficult to determine experimentally when grown in opaque soil. Thus, root architectural modelshave been widely used and been further developed into functional-structural models that are able to simulate thefate of water and solutes in the soil-root system (Dunbabin et al. 2013).Still, a systematic comparison of the different root architectural models is missing. In this work, we focuson discrete root architecture models where roots are described by connected line segments. These modelsdiffer (a) in their model concepts, such as the description of distance between branches based on a prescribeddistance (inter-nodal distance) or based on a prescribed time interval. Furthermore, these models differ (b) in theimplementation of the same concept, such as the time step size, the spatial discretization along the root axes or theway stochasticity of parameters such as root growth direction, growth rate, branch spacing, branching angles aretreated.Based on the example of two such different root models, the root growth module of R-SWMS and RootBox, weshow the impact of these differences on simulated root architecture and aggregated information computed fromthis detailed simulation results, taking into account the stochastic nature of those models.ReferencesDunbabin, V.M., Postma, J.A., Schnepf, A., Pagès, L., Javaux, M., Wu, L., Leitner, D., Chen, Y.L., Rengel,Z., Diggle, A.J. Modelling root-soil interactions using three-dimensional models of root growth, architecture andfunction (2013) Plant and Soil, 372 (1-2), pp. 93 – 124.Gregory (2006) Roots, rhizosphere and soil: the route to a better understanding of soil science? European Journalof Soil Science 57: 2-12. 000829735 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x0 000829735 7001_ $$0P:(DE-Juel1)129477$$aJavaux, Mathieu$$b1$$ufzj 000829735 7001_ $$0P:(DE-Juel1)129548$$aVanderborght, Jan$$b2$$ufzj 000829735 909CO $$ooai:juser.fz-juelich.de:829735$$pVDB 000829735 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)157922$$aForschungszentrum Jülich$$b0$$kFZJ 000829735 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129477$$aForschungszentrum Jülich$$b1$$kFZJ 000829735 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129548$$aForschungszentrum Jülich$$b2$$kFZJ 000829735 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 000829735 9141_ $$y2017 000829735 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x0 000829735 980__ $$aconf 000829735 980__ $$aVDB 000829735 980__ $$areport 000829735 980__ $$aI:(DE-Juel1)IBG-3-20101118 000829735 980__ $$aUNRESTRICTED