Environmental Sensing & Inverse Problems

Field-Scale ERT Phenotyping Under Water Deficit

Multi-season ERT field campaign across 6 grassland species under controlled water deficit. Successfully discriminated species by their electrical-hydraulic fingerprints. Published in Plant and Soil, 2020.

Period
2018–2020
Where
UCLouvain — PhD Research
Role
PhD Researcher
Methods
Field ERT, Time-series/Gaussian Fitting, Experimental Design

Research Question: Can ERT discriminate between plant species in real field conditions?

Field Experimental Campaign:

  • Multi-season ERT surveys across 6 grassland species (alfalfa, red clover, chicory, plantain, ryegrass, fescue)
  • Controlled water deficit experiment (ForDrought project)
  • Integration with TDR sensors for soil moisture validation
  • Repeated 3D ERT measurements during drying cycles

Method: Run synthetic forward models to test what should happen, then compare to observations.

Finding: Successfully discriminated 5 grass species based on their electrical-hydraulic fingerprints. Species-specific depletion zones were clearly visible and statistically significant.

Publications:

  • Plant and Soil (2020)
  • Field data supported by Région Wallonne (ForDrought D31-1341)

Thesis Chapters: 5 & 6 Collaborations: Prof. Sarah Garré, Dr. Florian Wagner (RWTH Aachen), Dr. Nolwenn Lesparre (Strasbourg)