Abstract
Simulation models of nutrient uptake of root systems starting with one-dimensional single root approaches up to complex three-dimensional models are increasingly used for examining the interacting of root distribution and nutrient uptake. However, their accuracy was seldom systematically tested. The objective of the study is to compare one-dimensional and two-dimensional modelling approaches and to test their applicability for simulation of nutrient uptake of heterogeneously distributed root systems giving particular attention to the impact of spatial resolution. Therefore, a field experiment was carried out with spring barley (Hordeum vulgare L. cv. Barke) in order to obtain data of in situ root distribution patterns as model input. Results indicate that a comparable coarse spatial resolution can be used with sufficient modelling results when a steady state approximation is applied to the sink cells of the two-dimensional model. Furthermore, the accuracy of the model was clearly improved compared to a simple zero sink approach assuming both near zero concentrations within the sink cell and a linear gradient between the sink cell and its adjacent neighbours. However, for modelling nitrate uptake of a heterogeneous root system a minimum number of grid cells is still necessary. The tested single root approach provided a computational efficient opportunity to simulate nitrate uptake of an irregular distributed root system. Nevertheless, two-dimensional models are better suited for a number of applications (e.g. surveys made on the impact of soil heterogeneity on plant nutrient uptake). Different settings for the suggested modelling techniques are discussed.
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Acknowledgments
We are grateful to the staff of the experimental farm Hohenschulen and Torben Sjuts for their assistance. The study was financially supported by the German Research Foundation (DFG).
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Appendix
Appendix
List of the used main symbols
Symbol | Definition | Units |
a | Radius of root axis | m |
A pi | Representative polygon area of the i-th class | m2 |
B l | Lower boundary of the i-th area class | m2 |
B u | Upper boundary of the i-th area class | m2 |
b | Buffering | – |
C i | Initial concentration of solute in liquid phase | mol m−3 |
C la | Concentration of solute at root surface | mol m−3 |
C l | Concentration of solute in liquid phase | mol m−3 |
\( \ifmmode\expandafter\bar\else\expandafter\=\fi{C}_{{\text{l}}} \) | average concentration of solute in liquid phase | mol m−3 |
D l | Diffusion coefficient of solute in water | m2 s−1 |
D e | Effective diffusion coefficient (diffusion coefficient of solute in soil) | m2 s−1 |
dx | grid width in x direction and diffusion distance, respectively | mm |
dy | grid width in y direction | mm |
f | Impedance factor | – |
k | Number of used classes | – |
L v | Mean root length density | km m−3 |
I | Nutrient influx rate per root length unit | mol s−1 m−1 |
I i | Nutrient influx rate of the i-th class | mol s−1 m−1 |
I tot | Weighted nutrient influx rate of all classes | mol s−1 m−1 |
n | Number of used intervals | – |
n gc | Number of grid cells | – |
P m | Mineralisation rate | mol s−1 m−3 |
P mi | Mineralisation rate of grid cell i | mol s−1 m−3 |
r | Radial coordinate | m |
r s | radius of the single root cylinder | m |
t | Time | s |
W i , W j | Weighting factors | – |
x, y | Cartesian coordinates in two-dimensional space | m |
α | Root absorbing power | m s−1 |
ν j | Area of the j-th interval | m2 |
θ | Soil moisture fraction by volume | m3 m−3 |
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Kohl, M., Böttcher, U. & Kage, H. Comparing different approaches to calculate the effects of heterogeneous root distribution on nutrient uptake: a case study on subsoil nitrate uptake by a barley root system. Plant Soil 298, 145–159 (2007). https://doi.org/10.1007/s11104-007-9347-9
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DOI: https://doi.org/10.1007/s11104-007-9347-9