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Published in Soil Sci. Soc. Am. J. 68:779-783 (2004).
© 2004 Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA

DIVISION S-1—SOIL PHYSICS

Relations between Soil and Tree Stem Water Content and Bulk Electrical Conductivity under Salinizing Irrigation

Arie Nadler*

Institute of Soil, Water, and Environmental Sciences, Agricultural Research Organization, Ministry of Agriculture, State of Israel, POB 6 Bet Dagan, Israel, 50250

* Corresponding author (vwnad{at}volcani.agri.gov.il).


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 TECHNIQUES
 RESULTS
 DISCUSSION
 REFERENCES
 
In a semiarid region in a grapefruit (Nucellar ‘Marsh seedless, Citrus paradise Macf.) orchard irrigated with salinized waters, the water content ({theta}) and bulk electrical conductivity ({sigma}a) of the trees’ stems and the root-zone soil was monitored by time domain reflectometry (TDR) and electrical conductivity meter for a year. For the purpose of irrigation scheduling the objective was to verify correlations between (i) stem and soil {theta} and (ii) stem and soil {sigma}. Measured {theta}soil and {sigma}a, soil were in good agreement with the irrigation treatments, peaking in summer and decreasing during autumn. Only a weak correlation between stem's {sigma}a and {theta} and the soil's parameters was found and attributed to time after installation of probes in the stem; the higher {sigma}a, stem (5–10 x 10–2 dS m–1), measured up to three months after installation, were accredited to the salt content of ruptured stem cells. After curing of the installation wound the insulating effect of the cells' membranes may explain the lower {sigma}a, stem (2–5 x 10–2 dS m–1) measured 3 to 12 mo after installation. Periods of {theta}soil increase (day of year [DOY] = 80–200, and 200–280) observed by the soil probes indicated surplus irrigation. Presently the rate, intensity, and variability of the grapefruit stem reaction to soil water status and salinity leaves the soil parameters as better indicators for accurate irrigation scheduling.

Abbreviations: Cionic, ionic concentration • la, apparent length of a transmission line (=dielectric length) • TDR, time domain reflectometry • TSW, treated sewage water • {theta}, volumetric water content (m3 m–3) • {sigma}, bulk electrical conductivity (dS m–1) • {epsilon}, dielectric constant • {psi}, water potential


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 TECHNIQUES
 RESULTS
 DISCUSSION
 REFERENCES
 
IN ARID REGIONS salinization of good quality water sources caused by extensive water recycling is gradually pushing farmers to irrigate with low quality waters. In such regions irrigation is essential to avoid yield losses during long periods without rainfall. In Israel approximately 8000 ha of citrus orchards, recently planted in the southwestern semiarid Negev region, are irrigated with treated sewage waters (TSW). Present day Clirr and Na+irr content (approximately 220–240 and 130 mg L–1, respectively) of these waters are expected to deteriorate to 350 and 195 mg L–1, respectively, in a few years.

Using marginal water requires maintaining a delicate balance between water and salt stresses and farmers will welcome monitoring tools that will enable more accurate irrigation rates and early warning of hazardous buildup of salinity. Commonly, the soil {theta} and salinity levels are monitored assuming a close and positive correlation with these levels in the plant. However, the number and location of the probes needed (e.g., tensiometers, TDR) to represent the constantly changing roots depth distribution and effective size are unknown. Direct measurement of stem {theta} and {sigma} reflects trees water needs and will eliminate the need to find the integrated effect on the plant of salinity and water distribution in the root zone as a function of soil type, growing season, irrigation technology, and crop morphology.

Previous studies based on direct stem sampling and indirect measurement of {theta}stem (reduction in stem diameter or {Psi}, Naor et al., 1995) have found that in water-stressed trees stems may give up to half their stored waters to the leaves (Waring and Running, 1978) before recharged by the roots. Preliminary sampling of leaves and stem in the present study orchard showed for three rootstocks good correlations among Xirr–Xxylem–Xleaves, where X is Cl or Na+ (Levy et al., 1999).

The TDR technology, which can accurately measure {theta} and resistivity of mineral and organic matrixes, was used in soil and stem.

Nadler et al.'s (1984) protocol was used to calculate the {sigma} of the pores soil solution ({sigma}w). Transforming {sigma}a, stem measurements of the living organism into {sigma} of the sap flow may not be as simple as for soils. Parameters not directly related to the salinity of the irrigation water, like nonuniform stem cross-section distribution of {theta}stem and {sigma}, or plant disease, may affect {sigma}a, stem–Cirr relations. Access to an experiment testing white grapefruit rootstock tolerance to salinity (Cl ~ 230–800 mg L–1) enabled our study of soil–stem relations. The objective was to verify if there is a relationship between (i) stem and soil water content ({theta}stem{theta}soil) and (ii) bulk electrical conductivity of the stem ({sigma}a, stem) and soil solution electrical conductivity ({sigma}w, soil). A good correlation may help in irrigation scheduling and give an early warning of hazardous salinity levels.


    MATERIALS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 TECHNIQUES
 RESULTS
 DISCUSSION
 REFERENCES
 
Experimental Design
The study was performed in an experimental grapefruit orchard grafted on three different rootstocks (troyer citrange [Citrus sinensis x Poncirus trifoliata], cleopatra [Citrus Reshni (Reticultar)], and volkameriana [Citrus Volkameriana Chapot]) at Bsor experimental farm, in the southwestern Negev region (31.15°N, 34.25°E) of Israel (Levy et al., 1999). Climate is Mediterranean with hot, dry summer and warm, rainy winter (November–March). The annual precipitation ranges 150 to 350 mm yr–1 (average = 280 mm yr–1). Evaporation rate of a Class A pan stationed 0.4 km away was 220 ± 40 mm mo–1 during the summer. The orchard was planted in July 1966 at a distance of 6 by 3 m on a fine sand regosol (Xeric Torripsament) of 40 to 50 clay, 50 to 70 silt, 700 fine sand, and 180 to 220 g kg–1 of coarse sand. Groups of three trees along the row received different salinity levels increasing in five steps along the row. The trees were irrigated twice a week at a rate of 3.0 mm d–1 between May to October. The irrigation water consisted of TSW (Cl = 220–240 mg L–1, 1.5 ± 0.2 dS m–1; the 0.4 dS m–1 salinity range depends on TSW dilution ratio with rainwater during winter underground storage). Concentrated saline solution was prepared by dissolving CaCl2 and NaCl at a 1:2 ratio (w/w) and was injected into the irrigation system by a hydraulic fertilizer pump, controlled by an irrigation computer which received its feedback from inline {sigma} and temperature sensors.

The five salinity levels were achieved by dilution and the amount of irrigated water was equal in all salinities and all rootstocks (Levy et al., 1999).


    TECHNIQUES
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 TECHNIQUES
 RESULTS
 DISCUSSION
 REFERENCES
 
The dielectric constant of water ({epsilon}w {approx} 80) is larger than that of other soil constituents ({epsilon}air = 1, {epsilon}solids = 2–5) and any change in {epsilon}bulk of the composite material (water, soil, air) reflects a change in {theta} (Topp et al., 1980). An empirical relationship converts TDR measurements of {epsilon} into {theta} values. Two calibration equations were used: Topp et al. (1980) for the soil, and Wullschleger et al. (1996) for the stem. Wullschleger et al. (1996) produced a single calibration curve for four different tree species (red maple [Acer rubrum L.], white oak [Quercus alba L.], chestnut oak [Quercus prinus L.], and black gum [Nyssa sylvatica Marsh.]) that were in good match with Constantz and Murphy (1990) calibration. The combined data were fitted to the a second-order quadratic equation

[1]

Similar calibration equations were obtained by Green and Nadler (unpublished data) from kiln dry wood blocks that, after saturation with water under a vacuum, were equilibrated at different pressures on a standard soil pressure plate. The gradually drying blocks were then weighed and {epsilon} was determined by TDR in the moist wood after each drying stage.

Soil Water Content
Five TDR probes were installed into the root-zone soil of each tree. The soil TDR probes were 200 mm long and made from three rods of 3-mm diameter stainless steel, at 50 mm spacing. The soil probes were installed vertically at depths of 0.1 to 0.3, 0.3 to 0.5, 0.5 to 0.7, 0.7 to 0.9, and 0.9 to 1.1 m below the soil surface. A 4.0-m coaxial cable (RG58U) connected each of the probes to a cable tester (Tektronix 1502B, Tektronix, Beaverton, OR). The apparent length, la, was determined from the TDR trace by manual identification of the probe's end-point reflection. The apparent dielectric is calculated using: {epsilon} = (la/l)2, where l (mm) is the actual length of the TDR probes (70 for stem probes and 200 for the soil probes) and converted to {theta}soil by Topp's equation. Under the experiment salinity levels, and according to a recent review (Robinson et al., 2003), the maximal salinity effect on {theta}soil is <0.01 m3 m–3.

Stem Water Content
Three TDR probes were installed into the stem of each tree. Holes of 2.9 mm in size were drilled, through a metal leader 0.3 to 0.6 m above the soil level and the probes were installed (two horizontally, namely, rod planes in right angles to the stem) and the third was installed vertically (namely, rods in plane parallel to the stem) into the 0.12- to 0.13-m trunk. The stem probes were 70 mm long three rods of 3-mm diameter stainless steel at 20-mm spacing and were installed some 50 d before measurements commenced, to minimize the risk of wound recovery effects (Wullschleger et al., 1996). In total 18 trees each had three TDR probes installed: 10 troyer trees (duplicating all five salinities), four cleopatra trees (duplicating the two extreme salinities), and four volkameriana trees (duplicating the two extreme salinities). Stems diameter ranged 0.13 ± 0.01 m, implying rods penetration to the center of the stem. The la, stem was manually measured with the1502 Cable tester and converted into {theta}stem using Eq. [1].

Measuring {sigma}a and Calculating {sigma}w of Both the Soil Pores and the Stem Xylem Solutions
A portable electrical conductivity meter (EcoScan Con5 EUTECH Instruments, Singapore) was used to manually measure the bulk stem {sigma} at the same time that {theta} was measured. Applying an existing protocol (Nadler et al., 1984) on {theta} and {sigma}a and using air-dry water content to identify the soil texture we have calculated the {sigma} of the soil solution ({sigma}w, Fig. 1) . For salt mass balance calculations an effective root-zone volume = 2.5 m3 was assumed. The protocol was found unsuitable for evaluating {sigma}w, stem. Maximal accumulated salts in the root zone ranging 27.8 to 51.6 (mmol 2.5 m–3, Fig. 2) were calculated by summing up the product {theta} x {sigma}w for each soil layer, assuming 1 dS m–1 ~ 0.01 mmol and Vroot zone = 2.5 m3.



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Fig. 1. Bulk stem electrical conductivity ({sigma}) ({sigma}a, by electrical conductivity meter) and water content ({theta}) (by time domain reflectometry [TDR]) and soil {sigma}w and {theta} as a function of time (days of year 2002) for a white grapefruit grafted on a troyer rootstock for three salinity of irrigation waters.

 


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Fig. 2. Salts accumulated in the root zone (mmol/2.5 m–3) as a function of time (days of year, 2002) in the 0.1- to 1.1-m soil profile for the five salinity levels of irrigation water for the troyer trees (lower row) and two extreme salinity levels for the cleopatra and volkameriana trees (upper row). (Legend shows {sigma}irrigation waters).

 

    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 TECHNIQUES
 RESULTS
 DISCUSSION
 REFERENCES
 
Variability
In spite of the careful planning, {theta} and {sigma}a variability in all treatments was large and scatter is demonstrated for the stem probes (Table 1) on an arbitrary day (DOY = 193). The wide variability is natural (tree size, transpiration, fluctuations in size of salinity residing in the stem center) and technical (faults in salt injection pump, lines plugging). The reader's attention is drawn to three extreme examples: (1) The wide range of {theta}stem measured by the three probes installed in the troyer (Fig. 1, 2nd column), or in the cleopatra, and volkameriana (SE{theta} = 0.04–0.10 m3 m–3, Table 1). These wide ranges are in agreement with similar water content distributions in stems of oaks and redwoods ({Delta}{theta} = 0.08–0.26 m3 m–3, Constantz and Murphy, 1990), in red maple and white oak (Wullschleger et al., 1996), and in pines (Irvine and Grace, 1997). (2) In the troyer, under three different irrigation waters ({sigma}irr = 2.5, 2.9, and 3.4 dS m–1), salts have accumulated to similar levels (47.0, 49.1, and 47.6 mmol 2.5 m–3, respectively, Fig. 2c). (3) Trees 17 and 18 (volkameriana, {sigma}irr = 3.4 dS m–1, Fig. 2b) got the same irrigation waters and belong to the same tree triplet, but have maximal salt accumulation of 41.6 and 52.5 mmol 2.5 m–3, respectively (Fig. 2b).


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Table 1. Averaged bulk electrical conductivity ({sigma}a) and water content ({theta}) values (from three stem probes) and standard error (shown in parentheses) on an arbitrary day (DOY = 193).

 
Averaged annual changes in soil's {sigma}w and {theta} for white grapefruit trees on a troyer rootstock irrigated with three salinity levels are presented in Fig. 1 (two right columns). The {sigma}w of the four lower soil layers (the upper 0.2 m is overlooked because it fluctuates between well leached to dry) ranged from 6 to 12 to 10 to 24 (dS m–1, data not shown) reflecting the gradual increasing {sigma}irr of the salinity treatments. Maximal {sigma}w were obtained for all treatments around DOY = 260.

However, contrary to simple intuition, only a weak correlation was found between the soil's {theta} and {sigma}w and the stem's {theta} and {sigma}a. Stem's {sigma}a and {theta} (Fig. 1, two left columns) did not follow soil's {sigma}w and {theta} (Fig. 1, two right columns) although measured at the same time. Between DOY 80 to 180, {theta}stem values were the highest throughout the year when {theta}soil levels were lowest. Between DOY 180 to 340 {theta}stem values steadily decreased while the opposite was true for the {theta}soil. Between DOY 340 to 440 rate of {theta}stem decreasing trend slowed down and occasionally even switched direction and started to increase, while {theta}soil values decreased (Fig. 1). A similar mismatch was found between {sigma}w, soil and {sigma}a, stem: between DOY 80 to 180, {sigma}a, stem is highest and steeply decreases, leveling off during DOY 180 to 440, while {sigma}w, soil is lowest on DOY 80 to 180, peaks at DOY ~ 240, and decreasing by a sharp salt leaching period (DOY = 240–340, Fig. 1). Similar opposing trends were found for the two other rootstocks (data not shown).


    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 TECHNIQUES
 RESULTS
 DISCUSSION
 REFERENCES
 
{theta}stem{theta}soil Relations
Stem water content reflects the steady-state balance between roots water uptake and leaves water use. A monotonously increasing {theta}soil from DOY = 80 to 260 for all five salinity treatments (only three are presented, Fig. 1) imply a water surplus but {theta}stem levels have decreased during this period. Such seemingly contradicting situations, attributed to biological mechanisms beyond the scope of the present study, were cited by Borchert (1994): steep gradients between trunk and outer branches (Hinckley et al., 1991), declining {theta}sapwood while {theta}bark increases (Gibbs, 1958), {Psi}stem near saturation while {Psi}older leaves on that stem are very low, or a decreasing {Psi}stem during a drought period.

{sigma}a, stem{sigma}w, soil Relations
Past studies showed that increasing the salinity of the soil solution causes salt accumulation in the leaves. Salts must flow through the stem, the only path between soil and leaves, but no direct relations between {sigma}w, soil and {sigma}a, stem were found. For a better understanding of this mismatch we should look deeper into the meaning of {sigma}a, stem and consider its {theta} dependence.

The {sigma}a, stem measurements can be conducted in either healthy, living, intact cells or in ruptured cells and diseased tissues. The former are undisturbed and continuous, while the later are single time, short, and disturbed. Obviously the results will reflect different situations.

Intact Tissue
The {sigma} of a medium is proportional to the number and mobility of the electrical charges (ions and dissociated molecules). The passage of an electric current in a solution such as found in plant tissues is by the movement of ions. Plant cells are leaky capacitors and each cell can be considered as a capacitance in parallel with a resistance and the ratio between the applied voltage and the resulting current is the impedance. The path of current in healthy tissues is through channels of the cell walls. When an alternating voltage is applied to a tissue the resulting current is related to impedance due to a separation of charges (ions) at tissue boundaries. In healthy tissues the membrane-screened ions are limited in their contribution to {sigma}a (Tattar and Blanchard, 1976). The amount of ions in the interstitial fluids of plants is also a function of the relative metabolic activity of tissues. Cambial tissues of woody plants were found to have the highest {sigma}. {sigma}a, plant tissue depends nonlinearly on the tissue free water (Blanchard et al., 1983). However, when free water becomes limiting {sigma}a, tissue becomes dependent on {theta}tissue. As long as a cell is metabolizing normally, its electrical properties will reflect primarily changes in metabolic rate like ions transfer.

Injured Tissues
Upon disturbance or injury to the membrane, depolarization and electrolyte loss occur releasing electrolytes into the intercellular spaces causing a large local increase of ionic concentration (Cionic) affecting {sigma}tissue. Protoplasm cells containing high concentrations of K+ release them when the resistance meter electrodes are inserted through the bark into the wood (Blanchard et al., 1983). In the absence of the insulation membranes effect, injured tissue has higher {sigma}a than intact stems. The {sigma} of ruptured cambial zones of living trees have been used to identify tree vigor, periodic growth, dormancy, cold temperature injuries, and infectious diseases (Tattar and Blanchard, 1976).

Water content Effect on {sigma}a, stem{sigma}w, soil Relations
The {sigma}a, stem{theta}stem relations for the five salinity treatments are positive (R2adj = 0.605, troyer trees, Fig. 3) as theoretically expected from aqueous systems but {sigma}a scatter reached ±50%. (The {sigma}w calculated from these {sigma}a will have an even higher scatter). In a rare case that {theta}stem is constant, {sigma}a, stem changes caused by higher Cionic of the xylem solution may be easier to observe. But in the period DOY 240 to 440, while salts accumulated in the soil profile, {sigma}a, stem of the troyer trees decreased by up to 0.03 dS m–1 maybe because of a {theta} decrease by 0.05 to 0.07 (m3 m–3). Namely, decreasing {theta}stem may have masked {sigma}a, stem increases that were caused by salinity changes. Such findings imply that salinity appraisal by {sigma}a, stem measurements that are not accompanied by {theta}stem values are only partially useful. Still, {sigma}a, stem measurements without {theta}stem may be enough to locate changes in metabolic rates (Davis et al., 1979; Borchert 1991), observe plant diseases, plant vigor (Shortle et al., 1977), or measure periodic rate growth (Blanchard et al., 1983) but not for evaluating salinity levels with a reasonable accuracy.



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Fig. 3. Stem's bulk electrical conductivity and water content ({sigma}a{theta}) relations for the five troyer trees when irrigated by the five salinity levels. (Legend shows {sigma}irrigation waters).

 
Having in mind the difference between {sigma}a, intact cells and {sigma}a, injured cells, we can interpret the present study {sigma}a, stem annual changes (Fig. 1) by dividing them into two periods. (i) Those measured during the first two or three months after probes installation when the wound was fresh or curing (DOYs ~ 80–160), and (ii), {sigma}a, stem measured after the wound have significantly healed (DOY ~ 160–440).

Surplus irrigation was evidenced throughout the season. The water content was always measured just before the next irrigation event (=maximal water stress), and the {theta} increasing trend for periods of weeks (Fig. 1) indicates irrigation rates above the tree's needs and potential drainage. Similar excess was shown for lemon [Citrus limon (L.) Burman f.] trees in the same region (Nadler et al., 2003).

In conclusion, under this study's specific experimental conditions, the correlations between {sigma}a, stem{sigma}w, soil and {theta}stem{theta}soil were not satisfactory to the point of recommending irrigation scheduling according to stem properties. We hope this study will be a starting point for further studies.


    ACKNOWLEDGMENTS
 
Warmly acknowledged are Dr. E. Raveh for proving the experimental setup, Mr. M. Aaron's (Gilat Experimental station, Northwestern Negev) assistance in field measurements and Y. Shimshomy's (Eastronic, Tel-Aviv) devoted maintenance of the Cable tester. Comments to the manuscript by Drs. B. Heuer and U. Yermiyahu are appreciated.

Received for publication October 9, 2003.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 TECHNIQUES
 RESULTS
 DISCUSSION
 REFERENCES
 




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