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

Ain‐Lhout, F.; Boutaleb, Saïd; Barradas, Mari Cruz Díaz; Jáuregui, Juan; Zunzunegui, María

doi:10.1016/j.agwat.2015.08.007

Cited by 33 publications

(33 citation statements)

References 43 publications

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“…Quantification of the water content was possible but requires localized, lithology specific, function to be fit empirically between the electrical resistivity soil water content [ 14 ]. Similar results were found in other Mediterranean areas on shale substrate [ 7 ], and in a mixed agricultural and treed landscape on limestone soil [ 15 ] where strong spatial patterns of water abstraction were observed around the scattered trees. In agricultural cropland settings ERT has been used to measure spatial patterns and dynamics in soil moisture content [ 16 , 17 , 18 ], and the effects of root water uptake and water redistribution within the soil profile [ 19 , 20 , 21 ].…”

Section: Introductionsupporting

confidence: 88%

Monitoring Soil Moisture Dynamics Using Electrical Resistivity Tomography under Homogeneous Field Conditions

Jong

Heijenk

Nijland

et al. 2020

Sensors

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There is a gap between lab experiments where resistivity–soil moisture relations are generally very good and field studies in complex environmental settings where relations are always less good and complicated by many factors. An experiment was designed where environmental settings are more controlled, the best outside laboratory, to assess the transferability from lab to outdoor. A field experiment was carried out to evaluate the use of electric resistivity tomography (ERT) for monitoring soil moisture dynamics over a period of 67 days. A homogeneous site in the central part of The Netherlands was selected consisting of grass pasture on an aeolian sand soil profile. ERT values were correlated to gravimetric soil moisture samples for five depths at three different dates. Correlations ranged from 0.43 to 0.73 and were best for a soil depth of 90 cm. Resistivity patterns over time (time-lapse ERT) were analyzed and related to rainfall events where rainfall infiltration patterns could be identified. Duplicate ERT measurements showed that the noise level of the instrument and measurements is low and generally below 3% for the soil profile below the mixed layer but above the groundwater. Although the majority of the measured resistivity patterns could be well explained, some artefacts and dynamics were more difficult to clarify, even so in this homogeneous field situation. The presence of an oak tree with its root structure and a ditch with surface water with higher conductivity may have an impact on the resistivity pattern in the soil profile and over time. We conclude that ERT allows for detailed spatial measurement of local soil moisture dynamics resulting from precipitation although field experiments do not yield accuracies similar to laboratory experiments. ERT approaches are suitable for detailed spatial analyses where probe or sample-based methods are limited in reach or repeatability.

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Section: Introductionsupporting

confidence: 88%

Monitoring Soil Moisture Dynamics Using Electrical Resistivity Tomography under Homogeneous Field Conditions

Jong

Heijenk

Nijland

et al. 2020

Sensors

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“…In order to better understand the interrelationship between soil electrical resistivity (ρ) and its water content (θ) in clayey soil horizons an experiment was designed to perform successive ERT measurements, aiming to provide insights concerning the capacity of ERT to act as an operational precision irrigation tool contributing to water saving at a farm level. Indeed, although previous studies have shown the potential of ERT to adequately monitor the root system of trees (Fan et al, 2015;Ain-Lhout et al, 2016), studies designed to determine ERT potential to monitor the annual crop root growth in clay-rich soils are scarce.…”

Section: Methodsmentioning

confidence: 99%

Electrical resistivity tomography for spatiotemporal variations of soil moisture in a precision irrigation experiment

Mertzanides¹,

Tsakmakis²,

Kargiotis³

et al. 2020

Int. Agrophys.

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Soil moisture temporal variations play a key role in the hydrological processes occurring in the unsaturated zone, which are critical for annual crop yields. The electrical resistivity tomography technique was applied in a field cultivated with cotton in northern Greece, thereby investigating its potential to serve as a reliable soil moisture-monitoring tool for precision irrigation in highly heterogeneous, clay-rich soils. Repeated surface resistivity measurements were made along two plant lines combined with soil water content measurements conducted with a reference gravimetric method and an electromagnetic sensor. Resistivity pseudo-sections were inverted to produce 2D resistivity models, and time-lapse inversion algorithms were also used, to better calculate the temporal changes in subsurface soil resistivity. The results showed clear spatial and temporal changes in resistivity transects in accordance with rainfall/irrigation and dry periods. The soil resistivity data exhibited a power model relationship with gravimetric soil moisture point measurements and a fair correlation with electromagnetic sensor profiles. K e y w o r d s: electrical resistivity tomography, non-intrusive soil measurements, soil moisture determination; heterogeneous clay-rich soils, water-saving technology

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“…Nonetheless, the argan tree is highly adapted to growth in conditions characterized by drought and high temperatures ( Diaz-Barradas et al, 2010 ) where mean annual precipitation ranges from 150 to 400 mm and temperatures can rise above 40°C ( Bani-Aameur and Zahidi, 2005 ; Msanda et al, 2005 ). The argan tree has a highly effective water transport system to exploit the available soil moisture ( Ain-Lhout et al, 2016 ) and during severe drought sheds leaves to reduce transpirative water-loss ( Diaz-Barradas et al, 2010 ; Zahidi and Bani-Aameur, 2013 ). There are comparatively few studies that investigate the photosynthetic and stomatal responses of the argan tree to drought.…”

Section: Introductionmentioning

confidence: 99%

An Assessment of Genetic Diversity and Drought Tolerance in Argan Tree (Argania spinosa) Populations: Potential for the Development of Improved Drought Tolerance

et al. 2017

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The argan tree (Argania spinosa) occurs in a restricted area of Southwestern Morocco characterized by low water availability and high evapotranspirative demand. Despite the adaptation of the argan tree to drought stress, the extent of the argan forest has declined markedly due to increased aridity, land use changes and the expansion of olive cultivation. The oil of the argan seed is used for cooking and as the basis for numerous cosmetics. The identification of argan tree varieties with enhanced drought tolerance may minimize the economic losses associated with the decline of the argan forest and constrain the spread of desertification. In this study we collected argan ecotypes from four contrasting habitats and grew them under identical controlled environment conditions to investigate their response to drought. Leaf gas exchange analysis indicated that the argan ecotypes showed a high degree of adaptation to drought stress, maintaining photosynthetic activity at low levels of foliar water content and co-ordinating photosynthesis, stomatal behavior and metabolism. The stomata of the argan trees were highly sensitive to increased leaf to air vapor pressure deficit, representing an adaptation to growth in an arid environment where potential evapotranspiration is high. However, despite originating in contrasting environments, the four argan ecotypes exhibited similar gas exchange characteristics under both fully irrigated and water deficit conditions. Population genetic analyses using microsatellite markers indicated a high degree of relatedness between the four ecotypes; indicative of both artificial selection and the transport of ecotypes between different provinces throughout centuries of management of the argan forest. The majority of genetic variation across the four populations (71%) was observed between individuals, suggesting that improvement of argan is possible. Phenotypic screening of physiological responses to drought may prove effective in identifying individuals and then developing varieties with enhanced drought tolerance to enable the maintenance of argan production as climate change results in more frequent and severe drought events in Northern Africa.

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

Cited by 33 publications

References 43 publications

Monitoring Soil Moisture Dynamics Using Electrical Resistivity Tomography under Homogeneous Field Conditions

Monitoring Soil Moisture Dynamics Using Electrical Resistivity Tomography under Homogeneous Field Conditions

Electrical resistivity tomography for spatiotemporal variations of soil moisture in a precision irrigation experiment

An Assessment of Genetic Diversity and Drought Tolerance in Argan Tree (Argania spinosa) Populations: Potential for the Development of Improved Drought Tolerance

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