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

被引:32
|
作者
Ain-Lhout, F. [1 ]
Boutaleb, S. [2 ]
Diaz-Barradas, M. C. [3 ]
Jauregui, J. [3 ]
Zunzunegui, M. [3 ]
机构
[1] Univ Ibn Zohr, Fac Polydisciplinaire Taroudant, Taroudant, Morocco
[2] Univ Ibn Zohr, Fac Sci, Dept Geol, Agadir, Morocco
[3] Univ Seville, Dept Biol Vegetal & Ecol, Seville, Spain
关键词
2D resistivity pseudo-sections; SRI-Electrical resistivity imaging; ERI profile configurations; Shoot water potential; Relative water content; Rooting depth; Drought; CLIMATIC CONDITIONS; WATER-CONTENT; DROUGHT; PLANTS; DEPTH; ARCHITECTURE; PLASTICITY; MANAGEMENT; GROWTH; LEAF;
D O I
10.1016/j.agwat.2015.08.007
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Argania spinosa is an endemic tree of Southwestern Morocco. It grows in arid regions, where annual rainfall ranges between 100 and 300 mm 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 (psi(md) 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. As expected, psi(md), showed minimal values in summer, dropping to -3.3 MPa at the end of the experiment. RWC exhibited a similar pattern. Based on the ERI measuring we conclude that argan roots were not exploiting deep water from the aquifer; instead, they are using soil water at few meters deep. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:158 / 166
页数:9
相关论文
共 50 条
  • [31] ESTIMATING ROOT ZONE MOISTURE FROM SURFACE SOIL USING LIMITED DATA
    Zeng, Wen-Zhi
    Lei, Guo-Qing
    Zhang, Hong-Ya
    Hong, Ming-Hai
    Xu, Chi
    Wu, Jing-Wei
    Huang, Jie-Sheng
    ECOLOGICAL CHEMISTRY AND ENGINEERING S-CHEMIA I INZYNIERIA EKOLOGICZNA S, 2017, 24 (04): : 501 - 516
  • [32] Developing a method for root-zone soil moisture monitoring at the field scale using remote sensing and simulation modeling
    Noory, Hamideh
    Khoshsima, Morteza
    Tsunekawa, Atsushi
    Tsubo, Mitsuru
    Haregeweyn, Nigussie
    Pashapour, Salar
    Agricultural Water Management, 2025, 308
  • [33] Determination of Soil Moisture Content using Laboratory Experimental and Field Electrical Resistivity Values
    Hazreek, Z. A. M.
    Rosli, S.
    Fauziah, A.
    Wijeyesekera, D. C.
    Ashraf, M. I. M.
    Faizal, T. B. M.
    Kamarudin, A. F.
    Rais, Y.
    Dan, M. F. Md
    Azhar, A. T. S.
    Hafiz, Z. M.
    INTERNATIONAL SEMINAR ON MATHEMATICS AND PHYSICS IN SCIENCES AND TECHNOLOGY 2017 (ISMAP 2017), 2018, 995
  • [34] Soil Moisture Monitoring in Iran by Implementing Satellite Data into the Root-Zone SMAR Model
    Gheybi, Fatemeh
    Paridad, Parivash
    Faridani, Farid
    Farid, Ali
    Pizarro, Alonso
    Fiorentino, Mauro
    Manfreda, Salvatore
    HYDROLOGY, 2019, 6 (02):
  • [35] Root Zone Soil Moisture Retrieval Using Streamflow and Surface Moisture Data Assimilation in Nested Catchments
    Ruediger, C.
    Walker, J. P.
    Kalma, J. D.
    Willgoose, G. R.
    Houser, P. R.
    MODSIM 2005: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION: ADVANCES AND APPLICATIONS FOR MANAGEMENT AND DECISION MAKING: ADVANCES AND APPLICATIONS FOR MANAGEMENT AND DECISION MAKING, 2005, : 1458 - 1464
  • [36] Comparison of electrical resistivity by geophysical method and neutron probe logging for soil moisture monitoring in a forested watershed
    Parate, Harshad R.
    Kumar, M. S. Mohan
    Descloitres, Marc
    Barbiero, Laurent
    Ruiz, Laurent
    Braun, Jean-Jacques
    Sekhar, M.
    Kumar, C.
    CURRENT SCIENCE, 2011, 100 (09): : 1405 - 1412
  • [37] 4D electrical resistivity tomography monitoring of soil moisture dynamics in an operational railway embankment
    Chambers, J. E.
    Gunn, D. A.
    Wilkinson, P. B.
    Meldrum, P. I.
    Haslam, E.
    Holyoake, S.
    Kirkham, M.
    Kuras, O.
    Merritt, A.
    Wragg, J.
    NEAR SURFACE GEOPHYSICS, 2014, 12 (01) : 61 - 72
  • [38] Improving root-zone soil moisture estimations using dynamic root growth and crop phenology
    Hashemian, Minoo
    Ryu, Dongryeol
    Crow, Wade T.
    Kustas, William P.
    ADVANCES IN WATER RESOURCES, 2015, 86 : 170 - 183
  • [39] Application of the vineyard data assimilation (VIDA) system to vineyard root-zone soil moisture monitoring in the California Central Valley
    Fan Chen
    Fangni Lei
    Kyle Knipper
    Feng Gao
    Lynn McKee
    Maria del Mar Alsina
    Joseph Alfieri
    Martha Anderson
    Nicolas Bambach
    Sebastian J. Castro
    Andrew J. McElrone
    Karrin Alstad
    Nick Dokoozlian
    Felix Greifender
    William Kustas
    Claudia Notarnicola
    Nurit Agam
    John H. Prueger
    Lawrence E. Hipps
    Wade T. Crow
    Irrigation Science, 2022, 40 : 779 - 799
  • [40] Application of the vineyard data assimilation (VIDA) system to vineyard root-zone soil moisture monitoring in the California Central Valley
    Chen, Fan
    Lei, Fangni
    Knipper, Kyle
    Gao, Feng
    McKee, Lynn
    Alsina, Maria del Mar
    Alfieri, Joseph
    Anderson, Martha
    Bambach, Nicolas
    Castro, Sebastian J.
    McElrone, Andrew J.
    Alstad, Karrin
    Dokoozlian, Nick
    Greifender, Felix
    Kustas, William
    Notarnicola, Claudia
    Agam, Nurit
    Prueger, John H.
    Hipps, Lawrence E.
    Crow, Wade T.
    IRRIGATION SCIENCE, 2022, 40 (4-5) : 779 - 799