Home Effects of salt stress on growth of Quercus ilex L. seedlings
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Effects of salt stress on growth of Quercus ilex L. seedlings

  • Giovanni Gugliuzza EMAIL logo , Carla Gentile , Dario Scuderi , Eristanna Palazzolo and Vittorio Farina
Published/Copyright: August 18, 2023

Abstract

High salt concentration is one of the main factors that affects plants’ growth, especially in urban areas. Many Mediterranean sclerophyllous species manifest high resistance to salt, although few information exists in the literature on Quercus ilex. The aim of this work was to evaluate the response of Q. ilex seedlings to salt stress conditions generated by an increasing concentration of sodium chloride on water supply irrigation. A 2-year experiment was conducted by using salt water at different concentrations (first year 50–100–200 and second year 75–150–300 mM NaCl). At increasing salt concentration, a plant growth reduction was registered in both years. Until 200 mM NaCl, the plants grew and did not show any visible damage on the leaves, while at 300 mM NaCl, all the plants died. Also, the photosynthetic rate decreased at increasing salt concentration. Sodium was accumulated in the plant parts and this accumulation occurred at the expense of potassium uptake.

1 Introduction

In the arid zones of the world, crop production consumes large quantities of water, and groundwater is often used for irrigation. The increased anthropic pressure, climate changes, the use of inorganic fertilizers, and irrigation with saline water are considered the sources of increasing salt concentration in the groundwater [1,2,3,4]. The scarce water resources in dry climates and the increased demands for water by civilian, industrial, and agricultural practices force the use of low-quality water for irrigation in urban landscape [5]. In urban environments, trees are subjected to abiotic and biotic stresses such as heat, low air humidity, restricted irrigation volumes, soil compaction, water stress related to reduced rainfall infiltration, de-icing salt, air pollution, insect damages, and NaCl soil contamination [6,7]. Soil salinity in urban environments is caused primarily by the application of NaCl to “deice” the winter streets and sidewalks [8], whereas in the coastal areas, it is a consequence of the sea-salt aerosol formed by air bubbles and spume droplets mixed into the surface layer of the sea by wave action [9]. High salt concentration is a major environmental factor limiting plant growth [10,11]. Salt stress not only contributes to a reduction in the landscape value of the trees but also causes major changes in its physiological and biochemical processes as well as in its morphology [12,13], its susceptibility to pests or diseases, and often, is the cause of plant death.

Quercus ilex L. is an evergreen Mediterranean sclerophyllous species typical of the broadleaf woodlands that can grow up to 20 m tall with a fissured blackish bark. Q. ilex has been largely used as an ornamental plant in the landscaping of parks and gardens and is very common on roadsides all along the coast of the western Mediterranean [14,15,16,17]. It is found under a variety of conditions of environmental pollution due to its capacity to accumulate pollutants using leaves as bio-accumulator [18,19,20]. This characteristic is due to the dense cover of hairs that allows the retention of airborne particulate, whereas the abundance of wax components promotes the incorporation of lipophilic organic pollutants [21].

Many Quercus species (Q. lyrata Walt., Q. michauxii Nutt., Q. nigra L., Q. virginiana Mill., and Q. nuttallii Palmer) are susceptible to salinity, showing a decrease in photosynthesis, stomatal conductance, tree height, and trunk diameter under saline conditions [22]. A recent study on Q. ilex [23] observed the responses to mild root zone salinity stress and evidenced the strategies adopted by this plant to allocate potentially toxic ions. The effect of medium salt concentrations (150 mM NaCl, 15 days) on photosynthesis, hydric relations, and ion partitioning saplings was done by Guidi et al. in 2017 [24]. Another study on transcriptome analysis conducted by Natali et al. [25], always on Q. ilex at max 150 mM NaCl, showed how salinity strongly changed the profile of expressed transcripts; indicating a higher genetic expression with respect to a biochemical and physiological response.

However, few information exists on Q. ilex susceptibility to high salinity levels. For their use in urban greening, where salt stress conditions are frequently reported, investigating the salt tolerance of Q. ilex represents a fundamental piece of information. Hence, the aim of this work was to evaluate the response of Q. ilex seedlings to salt stress conditions generated by an increasing concentration of sodium chloride in irrigation water.

2 Methods

2.1 Plant material

Q. ilex seedlings from the ‘Crucicchia’ forest nursery in Castellammare del Golfo (TP), managed by the Azienda Foreste Demaniali of Regione Sicilia, were transplanted in 7 L plastic pots filled with a 7:3 (v/v) mixture of sand and sandy soil. Seedlings were grown in an east–west-oriented greenhouse (540 mq) with a steel structure and polymethacrylate methyl cover located in Bagheria (38°5′28″N: 13°31′18″E; 23 m a.s.l.), Sicily, Italy. The yearly maximum, average and minimum temperatures were 45.3, 21.7 and 2.5°C for the first year and 46.4, 20.3 and 1.7°C for the second year.

A 2-year experiment was conducted: during the first year, 1-year-old plants were manually watered twice a week with 1 L per plant by using four solutions at different NaCl concentrations (0, 50, 100, and 200 mM NaCl) for 90 days during the growing season, occurring in spring; in the second year, the same experiment was conducted with a new plot of 2-year-old plants which were manually watered twice a week with 2 L per plant by using four solutions at different NaCl concentrations (0, 75, 150, and 300 mM NaCl) for 90 days during the growing season, occurring in spring.

A completely randomized experimental design was adopted with six plants per treatment per four treatments – corresponding to the irrigation water NaCl concentrations – for a total of 24 plants per year.

At the end of the experiment, samples of leaves, stems, and roots from each plant were taken for fresh weight determination. Dry weights (DWs) were determined after oven drying the samples at 60°C for 48 h. Before drying, the number and area of leaves were measured by leaf area meter (Win DIAS).

2.2 Gas exchange

Leaf stomatal conductance (g s) and net photosynthetic rate (P n) were determined using a gas exchange system (LI-6400; LI-COR Inc., Lincoln, NE, USA).

Data were recorded at 12:00 solar time at the end of the experiment, on two mature leaves per plant. Environmental photosynthetic active radiation values were measured by Li-Cor sensor and fixed by an LED light source during the measurements.

2.3 Ion analysis

A sample of fresh leaves, shoots, and roots was washed with distilled water three times and then dried at 60°C to constant weight (6–8 h). The plant material was ground with a ball mill. The cations were determined after a digestion of 0.1 g dry matter with HNO3, and then, the extract was taken to determine the free Na+ and K+ concentrations. The contents of K+ and Na+ were determined using atomic absorption spectroscopy following wet mineralization [26,27].

2.4 Carbohydrate content

A sample of fresh leaves, shoots, and roots was washed with distilled water three times and, then, dried at 60°C to constant weight (6–8 h). The carbohydrate content, either free or present in polysaccharides, was obtained with the anthrone method reported in Loewus [28].

Carbohydrates were first hydrolyzed into simple sugars using diluted hydrochloric acid. In hot acidic medium, glucose is dehydrated to hydroxymethyl furfural which when mixing with anthrone forms a green-colored product with an absorption peak at 630 nm

2.5 Antioxidant activity

Analysis of leaves’ antioxidant activity was performed during the second year.

2.5.1 Extracts preparation

Ten grams of samples of young leaves were manually picked at the end of the experiment. After washing, leaves were freeze dried for 12 h and then were finely ground in a food grinder and stored at −80°C until extraction.

The powdered samples were extracted with 70% ethanol at a ratio of 1:10 (g/mL). Extraction was repeated two times for each sample. After a cleanup step via centrifugation (10 min at 10,000g, 4°C) and filtration through a Millex HV 0.45 μm filter (Millipore, Billerica, MA), the supernatants were recovered, combined, and used for the determination of antioxidant activity and phenolic content.

2.5.2 Total phenolic content

The phenolic content of ethanol extracts was determined by the reduction of phosphotungstic-phosphomolybdic acid (Folin–Ciocalteu’s reagent) to blue pigments, in an alkaline solution according to Folin and Denis [29,30]. Quantitation was made by reference to a curve constructed with gallic acid, and the results were expressed as mg gallic acid equivalents (GAE) per 100 g DW.

2.5.3 Total antioxidant activity (TAA)

The TAA of ethanol extracts was evaluated using the ABTS radical cation decolorization assay [31]. ABTS•+ was prepared by reacting ABTS with K2S2O8. Samples were analyzed at five different dilutions, within the linearity range of the assay, as previously described [32]. TAA was expressed as μmol Trolox equivalent/100 g DW.

2.5.4 Determination of total chlorophyll and carotenoid contents

The chlorophyll and carotenoid contents of leaves were analyzed according to the protocol described by Lichtenthaler and Buschmann [33] with minor variations. Briefly, freeze-dried leaves’ powder (5 mg) was mixed with 5 mL of dimethyl sulfoxide and incubated at 65°C for 6 h. After incubation, the mixture was centrifuged at 15,000g for 5 min. The supernatant was collected, and the absorbance was read at 663 nm to measure chlorophyll A content, 647 nm to measure chlorophyll B content, and 470 nm to measure carotenoids’ content. The chlorophyll and carotenoid concentrations were calculated using the following equations: chlorophyll A = 12.25A 663 − 2.79A 647; chlorophyll B = 21.50A 647 − 5.10A 663; total chlorophyll = 20.29A 647 + 8.02A 663; carotenoid = (1,000A 470 − 1.82 chlorophyll A − 95.15 chlorophyll B)/225.

2.5.5 Statistics

Statistical analyses were based on a one-way analysis of variance. The effects of salinity treatments were considered statistically significant when P < 0.05. In these cases, the Tukey test of significant differences was carried out and results are given in the tables and figures. All statistical analyses were performed by using the SYSTAT 10 software.

3 Results

3.1 Dry matter accumulation

In the first year, plant biomass, in terms of fresh (data not shown) and DW, decreased as NaCl concentration increased (Table 1). Significative differences were observed in terms of plant DW between 0 and 200 mM NaCl with a weight reduction until 40%. A slight increase in roots’ DW was registered at 50 mM NaCl while significative DW reductions were observed also between 50 and 200 mM NaCl. On the aerial parts of the plant, significative DW reductions at increasing NaCl concentrations were observed starting from 100 mM NaCl, reaching a 57% DW reduction at 200 mM NaCl. The highest DW reduction (−68%) was observed in the leaves at 200 mM NaCl. This reduction was determined partially by the leaf number reduction (−52%) and partially by the leaf area reduction (66%). Neither plants died nor leaf damage was observed in all the treatments.

Table 1

First-year DWs of Q. ilex plant components irrigated with water at different NaCl concentrations

NaCl (mM) Plant DW (g) Roots DW (g) Shoot DW (g) Leaves DW (g) Above ground DW (g) Leaves, n Leaf area (cm2)
0 39.01 ± 4.08a 19.81 ± 3.21ab 9.40 ± 1.97a 9.80 ± 0.52a 19.20 ± 2.25a 116 ± 6.65a 481.18 ± 37.3a
50 35.61 ± 6.63ab 20.64 ± 0.89a 7.30 ± 1.67ab 7.67 ± 1.40ab 14.97 ± 3.02ab 115 ± 7.34a 330.98 ± 58.4b
100 32.10 ± 3.81ab 19.23 ± 1.25ab 6.40 ± 0.72ab 6.47 ± 1.47b 12.87 ± 1.90bc 82 ± 8.71b 323.55 ± 54.6b
200 24.15 ± 3.65b 15.82 ± 1.01b 5.20 ± 0.53b 3.13 ± 0.11c 8.33 ± 0.62c 56 ± 8.62c 162.80 ± 6.86c

Data are represented as mean ± standard deviation. Within each column, different letters indicate significantly different means by Tukey’s multiple range test.

During the second year, shoots of the plants subjected to the treatment of 300 mM NaCl did not grow, leaf damage appeared, and all the plants died within 3 weeks from the beginning of the experiment.

For the other treatments, as in the first year, plant biomass, in terms of fresh (data not shown) and DW, decreased as NaCl concentration increased (Table 2). A significative plant DW reduction (−44%) was observed between 0 and 75 mM NaCl, while no statistical differences were observed between 75 and 150 mM NaCl concentration. The same behavior was observed in terms of roots’ and leaves’ DW (−75 and −50%). Leaves’ DW reduction was caused by both the leaf number reduction and the leaf area reduction.

Table 2

Second-year DWs of Q. ilex plant components irrigated with water at different NaCl concentrations

NaCl (mM) Plant DW (g) Roots’ DW (g) Shoot DW (g) Leaves’ DW (g) Above ground DW (g) Leaves, n Leaf area (cm2)
0 124.24 ± 17.39a 87.20 ± 9.34a 20.99 ± 2.50a 16.05 ± 1.53a 37.04 ± 0.97a 188 ± 15.13a 1092.4 ± 88.2a
75 69.84 ± 7.41b 41.33 ± 4.43b 17.07 ± 1.52ab 11.44 ± 1.89b 28.51 ± 3.41b 161 ± 18.01ab 806.9 ± 172.1ab
150 42.43 ± 7.81b 22.33 ± 4.50b 11.83 ± 2.49b 8.27 ± 1.09b 20.10 ± 3.90c 111 ± 8.82b 519.9 ± 128.7b

Data are represented as mean ± standard deviation. Within each column, different letters indicate significantly different means by Tukey’s multiple range test.

3.2 Ion levels

In both years, an increase in Na ions and a decrease in K ions were registered in all parts of the plant due to NaCl concentration increasing (Tables 3 and 4).

Table 3

First-year sodium (Na) and potassium (K) levels expressed as ppm/DW of Q. ilex plant components irrigated with water at different NaCl concentrations

Leaf Shoot Root
NaCl (mM) Na (ppm) K (ppm) Na (ppm) K (ppm) Na (ppm) K (ppm)
0 107.0 ± 2.16a 317.7 ± 4.16a 76.7 ± 2.50a 322.7 ± 4.72a 115.7 ± 2.08a 214.3 ± 7.02a
50 153.0 ± 2.64b 285.3 ± 7.50a 119.3 ± 2.08b 133.3 ± 2.08b 116.3 ± 3.21a 141.7 ± 1.53b
100 191.3 ± 3.21c 194.0 ± 5.56b 155.7 ± 4.04c 120.0 ± 1.02c 130.5 ± 1.72b 107.3 ± 1.15c
200 196.7 ± 3.51c 184.5 ± 6.81b 176.7 ± 3.06d 76.5 ± 4.20d 251.0 ± 3.34c 95.0 ± 2.16d

Data are represented as mean ± standard deviation. Within each column, different letters indicate significantly different means by Tukey’s multiple range test.

Table 4

Second-year sodium (Na) and potassium (K) levels expressed as ppm/DW of Q. ilex plant components irrigated with water at different NaCl concentrations

Leaf Shoot Root
NaCl (mM) Na (ppm) K (ppm) Na (ppm) K (ppm) Na (ppm) K (ppm)
0 122.1 ± 3.53a 306.0 ± 2.42a 73.4 ± 2.12a 123.0 ± 7.02a 110.0 ± 0.70a 156.3 ± 2.25a
75 158.3 ± 8.50b 284.7 ± 3.21a 126.2 ± 13.07b 120.0 ± 1.05a 125.7 ± 3.51b 107.3 ± 1.15b
150 161.7 ± 3.78b 214.4 ± 4.94b 127.6 ± 6.42b 79.8 ± 1.41b 130.3 ± 2.08b 101.4 ± 1.41b

Data are represented as mean ± standard deviation. Within each column, different letters indicate significantly different means by Tukey’s multiple range test.

In the first year, statistically significant increases in leaves’ Na concentration were registered among 0, 50, and 100 mM NaCl while statistically significant decreases in K ions were registered at NaCl concentration increase from 50 to 100 mM (Table 3). In the shoots, every NaCl increase corresponded to a statistically significant increase in Na and a decrease in K. Similar behavior was registered in the roots.

During the second year, a significative increase in Na was registered starting from 75 mM NaCl in all the plant components while no statistical differences were observed between 75 and 150 (Table 4). In the roots, a significative K reduction was observed starting from 75 mM NaCl, while in leaves and shoots, significative K reduction was observed at 150 mM NaCl.

3.3 Carbohydrates

In both years, a carbohydrate reduction was observed at NaCl concentration increasing in all plant parts (Tables 5 and 6). In the first year, significant carbohydrate reductions were registered in roots and shoots with a reduction of more than 50% of their content in the roots between 0 and 200 mM NaCl (Table 5).

Table 5

First-year carbohydrate (Carb.) content (g/100 g DW) of Q. ilex plant components irrigated with water at different NaCl concentrations

Leaf Shoot Root
NaCl (mM) Carb. g/100 g DW Carb. g/100 g DW Carb. g/100 g DW
0 7.45 ± 0.67a 3.52 ± 0.12a 7.20 ± 0.14a
50 6.86 ± 0.17ab 3.20 ± 0.04b 6.21 ± 0.13b
100 5.43 ± 0.11bc 2.60 ± 0.15c 3.66 ± 0.09c
200 4.43 ± 0.07c 2.52 ± 0.04c 3.36 ± 0.06c

Data are represented as mean ± standard deviation. Within each column, different letters indicate significantly different means by Tukey’s multiple range test.

Table 6

Second-year carbohydrate (Carb.) content (g/100 g DW) of Q. ilex plant components irrigated with water at different NaCl concentrations

Leaf Shoot Root
NaCl (mM) Carb. g/100 g DW Carb. g/100 g DW Carb. g/100 g DW
0 7.37 ± 0.38a 2.14 ± 0.09a 2.88 ± 0.07a
75 1.64 ± 0.11b 1.03 ± 0.04b 1.24 ± 0.10b
150 1.46 ± 0.04b 0.70 ± 0.06b 0.37 ± 0.02c

Data are represented as mean ± standard deviation. Within each column, different letters indicate significantly different means by Tukey’s multiple range test.

In the second year, significant carbohydrate reduction was registered in leaves and shoots between 0 and 75 mM NaCl with the reductions of more than 70% in all plant parts (Table 6).

3.4 Gas exchange

In both years of observation, plants’ assimilation rate and stomatal conductance were influenced by NaCl concentration variations.

In the first year, a slight photosynthesis increase was observed at 50 mM NaCl and a significant decrease at 200 mM NaCl with a reduction of around 80% of photosynthetic activity (Figure 1a). A similar trend was observed for conductance where significant reductions were observed starting from 100 mM NaCl and a reduction of around 50% at 200 mM NaCl (Figure 1c).

Figure 1 
                  Net photosynthetic rate (P
                     n) (a and b) and leaf stomatal conductance (g
                     s) (c and d) measured during the first (a and c) and second (b and d) year of observation. Within each plot, different letters indicate significantly different means by Tukey’s multiple range test. First year air temperature 27°C, PAR 1,300 μmol m−2 s−1 VpdL 3.5; second year air temperature 32°C, PAR 1,350 μmol m−2 s−1 VpdL 4.3.
Figure 1

Net photosynthetic rate (P n) (a and b) and leaf stomatal conductance (g s) (c and d) measured during the first (a and c) and second (b and d) year of observation. Within each plot, different letters indicate significantly different means by Tukey’s multiple range test. First year air temperature 27°C, PAR 1,300 μmol m−2 s−1 VpdL 3.5; second year air temperature 32°C, PAR 1,350 μmol m−2 s−1 VpdL 4.3.

In the second year, significant reductions of photosynthesis were observed at every NaCl concentration increase with a 57% reduction at 150 mM NaCl (Figure 1b). The same behavior was observed for conductance with significant variation among the treatments (−63% at 150 mM NaCl) (Figure 1d). In both years of observation, plants’ gas exchanges were influenced by NaCl concentration variations.

3.5 Antioxidant, chlorophyll, and carotenoids

A progressive increase in TAA and GAE was observed as consequence of NaCl increasing with significant differences between 0 and 150 mM NaCl.

A significant reduction in Chla and Chlb was observed at 75 mM NaCl while no statistical differences were observed between 75 and 150 mM NaCl (Table 7). A slight, but not significant, reduction of carotenoids was observed at increasing NaCl concentration.

Table 7

Second-year TAA, GAE, and chlorophyll (Chl) levels of Q. ilex plant components irrigated with water at different NaCl concentrations

NaCl (mM) TAA g Trolox/100 g DW GAE mg/100 g DW Chl a g/100 gDW Chl b g/Kg DW Chl a/Chl b Carotenoids g/100 g
0 1.58 ± 0.52a 230.4 ± 62.8a 3.56 ± 0.13a 4.51 ± 0.99a 0.81 ± 0.16a 1.37 ± 0.29a
75 2.80 ± 0.59ab 395.7 ± 74.1ab 2.50 ± 0.39b 2.84 ± 0.65b 0.86 ± 0.10a 1.04 ± 0.18a
150 3.87 ± 0.29b 484.6 ± 50.8b 2.54 ± 0.29b 2.77 ± 0.41b 0.92 ± 0.15a 0.89 ± 0.16a

Data are represented as mean ± standard deviation. Within each column, different letters indicate significantly different means by Tukey’s multiple range test.

4 Discussion

It is well known that salinity, for many species, may have detrimental effects on plant growth. Salinity-induced modulations in growth, photosynthetic pigments, photosynthesis, ion concentration, and changes in the activity of various antioxidative enzymes.

In non-halophytic species, increasing soil salinity induces different responses in growth plant parameters, with symptoms such as a decrease in root and/or stem development or in leaf area damages while high concentrations lead to the death of the plant. Deciduous species tend to be more tolerant to salt spray or to soil-borne salt than evergreen coniferous species. In some evergreen species, the symptoms of salt damage manifested as chlorosis [34] while in deciduous trees, they manifested as foliage discoloration [35].

No previous reports are available in the literature regarding the effects of high salt concentration on Q. ilex. In our experiment, NaCl concentration of 200 mM was the highest concentration which allowed plant survival with no partial desiccation or leaf damage, while at 300 mM leaf damage appeared, plants did not grow and died within 3 weeks from the beginning of the experiment.

4.1 Dry matter accumulation

At 50 mM NaCl, a slight increase in roots’ DW was registered in our experiment. Alaoui-Sosse et al. [36] evidenced that an addition of 40 mM NaCl to the nutrient solution in oak seedlings reduced the length and weight of roots and first-flush stems. The number and the area of the leaves of each flush were not significantly affected regardless of the applied treatment. In contrast, the second vegetative flush was properly expanded even with a concentration of 40 mM of NaCl in the culture medium. Similar responses were observed on species of other botanical families, such as Mirtacae – Eucaliptus camaldulensis [37], Poaceae – Phragmites karka [38], and Zygophyllaceae – Zygophyllum xanthoxylum [39], where a lower salt concentration stimulated growth and dry matter accumulation.

Plant growth in terms of biomass decreased at NaCl concentration increases, as observed in other oak species, even at lower salt concentrations than those we used [32], and for many species like Phyllirea angustifolia [11] and halophyte Salvadora persica [40]. This result is in contrast with Gudi et al. [24], which registered no biomass loss. This is probably due to the shorter time the plants have been subjected to salt stress.

4.2 Gas exchange

Salinity reduced Q. ilex photosynthetic activity. This is probably due to a reduction of stomatal conductance and chlorophyll content of the leaf. A reduction in the photosynthetic activity was also registered by Guidi et al., who attribute it to stomatal closure which determines a strong dissipation of energy via the xanthophyll cycle [24]. Fusaro [23] evidenced a reduction in transpiration rates, as a strategy to limit Na absorption, which is a behavior put in practice by Q. ilex to resist to abiotic stress. This behavior was highlighted by Sultana [41]: reduction in photosynthesis in salinized rice plants is a consequence of reduction of available CO2 by stomatal closure, but also of the cumulative effects of leaf water and osmotic potential, stomatal conductance, transpiration rate, relative leaf water content, and biochemical constituents such as photosynthetic pigments, soluble carbohydrates, and proteins.

4.3 Antioxidant, chlorophyll, and carotenoids distribution

The increase of TAA observed in the leaves at 75 and 150 mM NaCl indicates that Q. ilex plants act to protect themselves from salt stress. Similar behavior was observed in Physalis peruviana L. [42] where also an increase in free radical scavenging activity was seen. Similarly to TTA, also GA values increased in leaves at salt concentration increasing. The increase of phenolic content under salt stress was observed also in Mentha pulegium [43].

Our results showed a linear reduction in both chlorophyll a and b content due to the salinity increase, with a subsequent photochemical efficiency reduction and a slight increase in their rate (Chla/Chlb). Total chlorophyll content reduction was observed in Q. ilex at 75 mM NaCl by Fusaro et al. [23] while no reduction was observed by Guidi et al. [24]. Chlorophyll content reduction was also registered in Eucaliptus camaldulensis [37] and Bruguiera parviflora [44]. An increase in the chlorophyll a/b ratio is commonly seen as an indicator of an enhancement in the plant photochemical capacity [45]. Salt concentration induces a progressive reduction of carotenoids according to Fusaro et al. and Guidi et al. [23,24] who observed a decrease of β-caroten in 75 and 150 mM NaCl Q. ilex-stressed plants. The same behavior was observed in Populus euphratica [39].

4.4 Carbohydrates

The observed reduction in carbohydrate concentration in the different plant components is probably due to the progressive decrease in photosynthetic activities as a consequence of the NaCl content increase. A decrease in the carbohydrate content was observed by Sultana et al. [41] in rice.

4.5 Ion levels

In our experiment, sodium was accumulated in all plant parts and this accumulation occurred at the expense of potassium uptake. The increase of sodium was confirmed by the results obtained by Alaoui-Sosse et al. [36] in oaks when 40 mM NaCl was applied. Roots accumulate a major part of this element, as we observed in both years. In several Eucalyptus species, when plants were exposed to high salt stress, roots accumulated more sodium than leaves [46,47]. An opposite behavior was observed for the potassium content of the plants of our study. In fact, under a high concentration of salt, sodium was exchanged for potassium [48] and its accumulation was reduced in roots. Moreover, sodium could act as a substitute for potassium during the uptake but not for the important role it plays in different biochemical processes. Sodium replaces potassium and other cations on the soil exchange complex and can lead to nutrient deficiencies.

5 Conclusions

Our results confirm analytically what is observed in nature: Q. ilex natural forests extend until the sea in the species’ natural habitat found in many Mediterranean areas. Here, the study evidenced how, until 200 mM NaCl the plant kept growing and did not show any visible damage on leaves. Only at 300 mM NaCl, the Q. ilex plants died. The study confirmed that oaks use several mechanisms, well-known in other species’ physiology, to resist salt stress. As expected, at increasing NaCl concentrations, plant biomass decreased, with a reduction of leaf area and leaf number but without partial desiccation or leaf damage. The Na ion content increased whereas the K ion content decreased in all plant parts as the excess of salt led to disturbance in ionic balance. As expected, photosynthetic activity and stomatal conductance decreased with the highest salt concentration influencing the carbohydrate content. In addition, the photosynthetic pigments decreased with an increase in salinity. TAA and GAE increase with salt concentration as an antioxidant response through preventing the oxidative damage.

Hence, based on the adaptive capacity of the plant confirmed by our results, the use of Q. ilex in urban areas represents a good strategy for improving vegetation presence in the cities. However, more studies should be conducted to understand the mechanism that Q. ilex plants use to resist high salt concentrations.

Acknowledgments

The authors would like to thank Dr. Marcello Militello for his help and technical support.

  1. Funding information: This research was funded by the Italian Ministry of University and Research MIUR project – PRIN – TREECITY – Design the green city in the era of global change: functions of urban trees and their adaptability in the future climatic conditions.

  2. Author contributions: Conceptualization, V.F.; methodology, G.G., E.P., and C.G.; software, D.S.; validation, V.F. and G.G.; formal analysis, G.G.; investigation, G.G. and C.G.; resources, G.G, C.G., E.P., and V.F.; data curation, G.G., E.P., and C.G.; writing – original draft preparation, G.G.; writing – review and editing, V.F., G.G., and D.S.; supervision, G.G.; project administration, V.F.; funding acquisition, V.F. All authors have read and agreed to the published version of the article.

  3. Conflict of interest: Vittorio Farina, who is the co-author of this article, is a current Editorial Board member of Open Agriculture. This fact did not affect the peer-review process.

  4. Data availability statement: The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Received: 2023-02-08
Revised: 2023-06-17
Accepted: 2023-06-23
Published Online: 2023-08-18

© 2023 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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