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根系比例模型在干燥土壤条件下显著高估了根系对水分的吸收。

Root System Scale Models Significantly Overestimate Root Water Uptake at Drying Soil Conditions.

作者信息

Khare Deepanshu, Selzner Tobias, Leitner Daniel, Vanderborght Jan, Vereecken Harry, Schnepf Andrea

机构信息

Institute of Bio-Geosciences (IBG-3, Agrosphere), Forschungszentrum Jülich GmbH, Jülich, Germany.

Simulationswerkstatt, Leonding, Austria.

出版信息

Front Plant Sci. 2022 Feb 14;13:798741. doi: 10.3389/fpls.2022.798741. eCollection 2022.

Abstract

Soil hydraulic conductivity ( ) drops significantly in dry soils, resulting in steep soil water potential gradients ( ) near plant roots during water uptake. Coarse soil grid resolutions in root system scale (RSS) models of root water uptake (RWU) generally do not spatially resolve this gradient in drying soils which can lead to a large overestimation of RWU. To quantify this, we consider a benchmark scenario of RWU from drying soil for which a numerical reference solution is available. We analyze this problem using a finite volume scheme and investigate the impact of grid size on the RSS model results. At dry conditions, the cumulative RWU was overestimated by up to 300% for the coarsest soil grid of 4.0 cm and by 30% for the finest soil grid of 0.2 cm, while the computational demand increased from 19 s to 21 h. As an accurate and computationally efficient alternative to the RSS model, we implemented a continuum multi-scale model where we keep a coarse grid resolution for the bulk soil, but in addition, we solve a 1-dimensional radially symmetric soil model at rhizosphere scale around individual root segments. The models at the two scales are coupled in a mass-conservative way. The multi-scale model compares best to the reference solution (-20%) at much lower computational costs of 4 min. Our results demonstrate the need to shift to improved RWU models when simulating dry soil conditions and highlight that results for dry conditions obtained with RSS models of RWU should be interpreted with caution.

摘要

土壤水力传导率( )在干燥土壤中会显著下降,导致植物根系在吸水过程中附近出现陡峭的土壤水势梯度( )。根系吸水(RWU)的根系系统尺度(RSS)模型中的粗土壤网格分辨率通常无法在空间上解析干燥土壤中的这种梯度,这可能导致对RWU的大幅高估。为了量化这一点,我们考虑了一个来自干燥土壤的RWU基准情景,对此有一个数值参考解。我们使用有限体积格式分析这个问题,并研究网格大小对RSS模型结果的影响。在干燥条件下,对于4.0厘米的最粗土壤网格,累积RWU被高估了高达300%,对于0.2厘米的最细土壤网格,被高估了30%,而计算需求从19秒增加到了21小时。作为RSS模型的一种准确且计算高效的替代方案,我们实现了一个连续多尺度模型,其中我们对大块土壤保持粗网格分辨率,但此外,我们在单个根段周围的根际尺度上求解一维径向对称土壤模型。两个尺度的模型以质量守恒的方式耦合。多尺度模型在4分钟的低得多的计算成本下与参考解的比较最佳(-20%)。我们的结果表明,在模拟干燥土壤条件时需要转向改进的RWU模型,并强调使用RWU的RSS模型获得的干燥条件结果应谨慎解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/541f/8882956/7d389ad1c68a/fpls-13-798741-g0001.jpg

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