Daly Keith R, Mooney Sacha J, Bennett Malcolm J, Crout Neil M J, Roose Tiina, Tracy Saoirse R
Bioengineering Sciences Research Group, Faculty of Engineering and Environment, University of Southampton, University Road, Southampton SO17 1BJ, UK.
School of Biosciences, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD, UK.
J Exp Bot. 2015 Apr;66(8):2305-14. doi: 10.1093/jxb/eru509. Epub 2015 Mar 4.
Understanding the dynamics of water distribution in soil is crucial for enhancing our knowledge of managing soil and water resources. The application of X-ray computed tomography (CT) to the plant and soil sciences is now well established. However, few studies have utilized the technique for visualizing water in soil pore spaces. Here this method is utilized to visualize the water in soil in situ and in three-dimensions at successive reductive matric potentials in bulk and rhizosphere soil. The measurements are combined with numerical modelling to determine the unsaturated hydraulic conductivity, providing a complete picture of the hydraulic properties of the soil. The technique was performed on soil cores that were sampled adjacent to established roots (rhizosphere soil) and from soil that had not been influenced by roots (bulk soil). A water release curve was obtained for the different soil types using measurements of their pore geometries derived from CT imaging and verified using conventional methods, such as pressure plates. The water, soil, and air phases from the images were segmented and quantified using image analysis. The water release characteristics obtained for the contrasting soils showed clear differences in hydraulic properties between rhizosphere and bulk soil, especially in clay soil. The data suggest that soils influenced by roots (rhizosphere soil) are less porous due to increased aggregation when compared with bulk soil. The information and insights obtained on the hydraulic properties of rhizosphere and bulk soil will enhance our understanding of rhizosphere biophysics and improve current water uptake models.
了解土壤中水分分布动态对于增进我们管理土壤和水资源的知识至关重要。X射线计算机断层扫描(CT)在植物和土壤科学中的应用现已成熟。然而,很少有研究利用该技术来可视化土壤孔隙中的水分。在此,该方法被用于在原状土壤以及在大孔隙和根际土壤中连续降低基质势的条件下三维可视化土壤中的水分。这些测量结果与数值模型相结合,以确定非饱和导水率,从而全面了解土壤的水力特性。该技术是在与已定植根系相邻处采集的土壤芯样(根际土壤)以及未受根系影响的土壤(大孔隙土壤)上进行的。利用从CT成像获得的孔隙几何形状测量值,并使用传统方法(如压力板法)进行验证,得到了不同土壤类型的水分释放曲线。使用图像分析对图像中的水、土壤和空气相进行分割和量化。对比土壤获得的水分释放特征表明,根际土壤和大孔隙土壤在水力特性上存在明显差异,尤其是在粘土中。数据表明,与大孔隙土壤相比,受根系影响的土壤(根际土壤)由于团聚作用增强而孔隙较少。关于根际土壤和大孔隙土壤水力特性所获得的信息和见解将增进我们对根际生物物理学的理解,并改进当前的水分吸收模型。