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000829877 1001_ $$0P:(DE-Juel1)157922$$aSchnepf, Andrea$$b0$$eCorresponding author$$ufzj
000829877 1112_ $$aEuropean Geosciences Union General Assembly 2017$$cVienna$$d2017-04-23 - 2017-04-28$$gEGU$$wAustria
000829877 245__ $$aComparing root architectural models
000829877 260__ $$c2017
000829877 3367_ $$033$$2EndNote$$aConference Paper
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000829877 520__ $$aPlant roots play an important role in several soil processes (Gregory 2006). Root architecture development determines the sites in soil where roots provide input of carbon and energy and take up water and solutes. However, root architecture is difficult to determine experimentally when grown in opaque soil. Thus, root architectural models have been widely used and been further developed into functional-structural models that are able to simulate the fate 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 focus on discrete root architecture models where roots are described by connected line segments. These models differ (a) in their model concepts, such as the description of distance between branches based on a prescribed distance (inter-nodal distance) or based on a prescribed time interval. Furthermore, these models differ (b) in the implementation of the same concept, such as the time step size, the spatial discretization along the root axes or the way stochasticity of parameters such as root growth direction, growth rate, branch spacing, branching angles are treated. Based on the example of two such different root models, the root growth module of R-SWMS and RootBox, we show the impact of these differences on simulated root architecture and aggregated information computed from this 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 and function (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 Journal of Soil Science 57: 2-12.
000829877 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x0
000829877 7001_ $$0P:(DE-Juel1)129548$$aVanderborght, Jan$$b1$$ufzj
000829877 7001_ $$0P:(DE-Juel1)129477$$aJavaux, Mathieu$$b2$$ufzj
000829877 8564_ $$uhttp://meetingorganizer.copernicus.org/EGU2017/orals/23321
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000829877 9141_ $$y2017
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