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Monitoring the evolution of soil moisture in root zone system of Argania spinosa using electrical resistivity imaging

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  • Ain-Lhout, F.
  • Boutaleb, S.
  • Diaz-Barradas, M.C.
  • Jauregui, J.
  • Zunzunegui, M.

Abstract

Argania spinosa is an endemic tree of Southwestern Morocco. It grows in arid regions, where annual rainfall ranges between 100 and 300mm and where no other tree species can live. The aim of the study was to investigate, the root system architecture of Argania spinosa and the temporal dynamics of the root-zone moisture after a rain event, using a geophysical technique called Electrical Resistivity Imaging (ERI). This technique discriminates by its different resistivity, woody roots, dry soil and moist soil. We tested the ability of three different ERI profile configurations (Dipole-dipole, Wenner and Wenner–Schlumberger) to measure a correct two-dimensional profile. Six measurements (from April to July) of resistivity sections were performed along a 96 m linear transect that included eight trees. Midday shoot water potential (Ψmd) and leaf relative water content (RWC) were measured during the experimental period, for the eight trees. The results showed that the Wenner configuration was the most appropriate discriminating resistivities of soil, soil moisture and roots. The 2D resistivity pseudo-sections obtained showed three different layers: one thin resistive layer interspersed by very resistant spots corresponding to woody roots, followed by a middle conductive one corresponding to moist soil, and a deeper layer with moderate resistivities. Moisture content changed substantially over time; being lower over summer than in spring. ERI profiles showed that the resistive layer corresponding to the argan roots, was located between 0 and 4 m of depth. The analysis of the 2D resistivity pseudosections revealed significant differences in soil moisture distribution; so that in the zone under argan roots, soil moisture could be measured down to 6 m deep throughout the whole study period, whereas in the zone outside argan roots, moisture was depleted as early as May down the whole profile.

Suggested Citation

  • Ain-Lhout, F. & Boutaleb, S. & Diaz-Barradas, M.C. & Jauregui, J. & Zunzunegui, M., 2016. "Monitoring the evolution of soil moisture in root zone system of Argania spinosa using electrical resistivity imaging," Agricultural Water Management, Elsevier, vol. 164(P1), pages 158-166.
    • Handle: RePEc:eee:agiwat:v:164:y:2016:i:p1:p:158-166
    DOI: 10.1016/j.agwat.2015.08.007
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    References listed on IDEAS

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    1. William R. L. Anderegg & Jeffrey M. Kane & Leander D. L. Anderegg, 2013. "Consequences of widespread tree mortality triggered by drought and temperature stress," Nature Climate Change, Nature, vol. 3(1), pages 30-36, January.
    2. Lybbert, Travis J., 2007. "Patent disclosure requirements and benefit sharing: A counterfactual case of Morocco's argan oil," Ecological Economics, Elsevier, vol. 64(1), pages 12-18, October.
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    Cited by:

    1. Coussement, Tom & Maloteau, Sophie & Pardon, Paul & Artru, Sidonie & Ridley, Simon & Javaux, Mathieu & Garré, Sarah, 2018. "A tree-bordered field as a surrogate for agroforestry in temperate regions: Where does the water go?," Agricultural Water Management, Elsevier, vol. 210(C), pages 198-207.
    2. Junwei Liu & Vinay Kumar Gadi & Ankit Garg & Suriya Prakash Ganesan & Anasua GuhaRay, 2019. "A Novel Approach to Interpret Soil Moisture Content for Economical Monitoring of Urban Landscape," Sustainability, MDPI, vol. 11(20), pages 1-17, October.
    3. Martínez, Gonzalo & Laguna, Ana M. & Giráldez, Juan Vicente & Vanderlinden, Karl, 2021. "Concurrent variability of soil moisture and apparent electrical conductivity in the proximity of olive trees," Agricultural Water Management, Elsevier, vol. 245(C).

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