EGU21-1697
https://doi.org/10.5194/egusphere-egu21-1697
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Detecting stemflow-induced preferential flow pathways through time-lapse ground-penetrating radar surveys

Ludmila Roder1,2, Simone Di Prima3,4,5, Sergio Campus3, Filippo Giadrossich3,5, Ryan D. Stewart6, Majdi R. Abou Najm7, Thierry Winiarski4, Rafael Angulo-Jaramillo4, Antonio D. del Campo8, Laurent Lassabatere4, and Pier Paolo Roggero3,5
Ludmila Roder et al.
  • 1Architecture, design and Urban planning, University of Sassari, Piazza Duomo, 6, 07041 Alghero (Sassari), Italy.
  • 2School of Agriculture, São Paulo State University (UNESP), Fazenda Experimental Lageado, 18610-034 Botucatu, SP, Brazil.
  • 3Dipartimento di Agraria, University of Sassari, Viale Italia, 39, 07100 Sassari, Italy.
  • 4Université de Lyon; UMR5023 Ecologie des Hydrosystèmes Naturels et Anthropisés, CNRS, ENTPE, Université Lyon 1, Vaulx-en-Velin, France.
  • 5Desertification Research Centre, University of Sassari, Viale Italia, 39, 07100 Sassari, Italy.
  • 6School of Plant and Environmental Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States.
  • 7Department of Land, Air and Water Resources, University of California, Davis, CA 95616, United States.
  • 8Research Group in Forest Science and Technology (Re-ForeST), Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, Camí de Vera, E-46022 València, Spain.

Research over the past several decades has shown that preferential flow is more the rule than the exception. However, our collective understanding of preferential flow processes has been limited by a lack of suitable methods to detect and visualize the initiation and evolution of non-uniform wetting at high spatial and temporal resolutions, particularly in real-world settings. In this study, we investigate water infiltration initiation by tree trunk and root systems. We carried out time-lapse ground penetrating radar (GPR) surveys in conjunction with a simulated stemflow event to provide evidence of root-induced preferential flow and generate a three-dimensional representation of the wetted zone.

We established a survey grid (3.5 m × 5 m, with a local slope of 10.3°), consisting of ten horizontal and thirteen vertical parallel survey lines with 0.5 m intervals between them. The horizontal lines were downslope-oriented. The grid was placed around a Quercus suber L. We collected a total of 46 (2 GPR surveys × 23 survey lines) radargrams using an IDS (Ingegneria Dei Sistemi S.p.A.) Ris Hi Mod v. 1.0 system with a 900-MHz antenna mounted on a GPR cart. Two grid GPR surveys were carried out before and after the artificial stemflow experiment. In the experiment, we applied 100 L of brilliant blue dye (E133) solution on the tree trunk. The stemflow volume of 100 L corresponded to 63.2 mm of incident precipitation, considering a crown projected area of 201 m2 and a 1.3% conversion rate of rainfall to stemflow. Trench profiles were carefully excavated with hand tools to remove soil and detect both root location and size and areas of infiltration and preferential pathways on the soil profile.

The majority (84.4%) of artificially applied stemflow infiltrated into the soil, while the remaining 15.6% generated overland flow, which was collected by a small v-shaped plastic channel placed into a groove previously scraped on the downhill side of the tree. The 3D diagram clearly demarcated the dimension and shape of the wetted zone, thus providing evidence of root-induced preferential flow along coarse roots. The wetted zone extended downslope up to a horizontal distance of 3 m from the trunk and down to a depth of approximately 0.7 m. Put all together, this study shows the importance of accounting for plant and trees trunk and root systems when quantifying infiltration.

How to cite: Roder, L., Di Prima, S., Campus, S., Giadrossich, F., Stewart, R. D., Abou Najm, M. R., Winiarski, T., Angulo-Jaramillo, R., del Campo, A. D., Lassabatere, L., and Roggero, P. P.: Detecting stemflow-induced preferential flow pathways through time-lapse ground-penetrating radar surveys, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-1697, https://doi.org/10.5194/egusphere-egu21-1697, 2021.

Corresponding displays formerly uploaded have been withdrawn.