Figures
Abstract
Mangrove ecosystems are some of the most productive and important sinks for sediment globally. Recently, there has been an increasing interest in possible causes of stress in mangroves, such as nutrient limitation, high salinity, solar radiation and temperature. We measured different factors casing stress and determined how they influenced oxidative stress and growth biomarkers in six study sites dominated by mangroves; Al Lith, South Jeddah, Dahban, Thuwal, Rabigh and Mastorah. Significant differences (P < 0.05) were recorded in water salinities and temperatures, nitrogen and phosphorus content in sediments, and antioxidant enzyme activities in different study sites. The highest salinity (40.75 ‰) and temperature (29.32°C) were recorded in the Rabigh mangrove stand, which corresponds to the lowest dissolved oxygen (5.21 mg/L). Total organic carbon, total nitrogen and total phosphorus in sediment across the study areas were in the order Rabigh>Thuwal>Dahban>Al Lith>South Jeddah>Mastorah. Total nitrogen in mangrove leaves at Rabigh was the highest and about 1.3 times higher than the total nitrogen in South Jeddah mangrove ecosystem, very different from the ratio of total nitrogen in the sediments at Rabigh and South Jeddah mangrove ecosystems. The average values of δ13C (-17.60‰) and δ15N (2.84‰) in the six mangrove ecosystems, and the highest δ13C (-13.62‰) and δ15N (4.39‰) at Rabigh in the sediments suggest that nutrient input differed among study sites. Higher nutrient levels at Rabigh mangrove ecosystem were attributed to restricted circulation, camel grazing and land runoff with agricultural waste during seasonal flooding events. However, N limitation and possibly salinity contributed to stress in Al Lith, South Jeddah, Dahban, Thuwal, Rabigh, and Mastorah mangrove ecosystems. Salinity (r = 0.9012) contribute more to stress at Rabigh.
Citation: Alhassan AB, Aljahdali MO (2021) Nutrient and physicochemical properties as potential causes of stress in mangroves of the central Red Sea. PLoS ONE 16(12): e0261620. https://doi.org/10.1371/journal.pone.0261620
Editor: Jian Liu, Shandong University, CHINA
Received: May 22, 2021; Accepted: December 6, 2021; Published: December 23, 2021
Copyright: © 2021 Alhassan, Aljahdali. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript.
Funding: This research work was funded by Institutional Fund Projects under grant no. (IFPIP-466-130-1442). The authors gratefully acknowledge technical and financial support from the Ministry of Education and King Abdulaziz University, Jeddah, Saudi Arabia.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Mangrove ecosystems in marine environments are some of the most productive and important sinks for sediment globally, with shoreline characteristics that provide protection from seasonal flooding [1–5]. In addition, they provide substantially greater gross primary production and sediment carbon and nutrient accumulation relative to environments lacking vegetation cover in marine ecosystems [5–7]. However, the increased capacity of nutrient accumulation in mangrove ecosystems makes this unique ecosystem sensitive to anthropogenic influence within short time period [8, 9]. For instance, variables such as agricultural activities at the catchment of mangroves, urban development, effluent containing sewage, flooding, and sand storms, presumably can lead to an influx of high concentration of nutrients in mangroves, which contributes to nutrient enrichment [10, 11].
Nutrient limitations have been reported among mangroves and other plant communities [12, 13]. However, mangroves can develop physiological strategies such as increasing root biomass and shifts in biomass allocation to withstand nutrient limitations [13]. Nutrient limitation and other factors causing stress such as salinity, solar radiation, and temperature can decrease mangrove height or increase the incidence of dwarfism [14]. Nitrogen and Phosphorus are the elements vastly studied in terms of nutrient enrichment and depletion, with the depletion of N and P reported causing dwarfism in mangroves [15–17]. Indeed, the mangroves of the Caribbean and islands in Southeast Asia and the Red Sea with limited nutrients have been reported to have a dwarf stature [18, 19].
The Red Sea is about 2000 km long and 335 km wide, having mangroves distributed for about 135 km2, with some Central Red Sea mangrove ecosystems containing mangroves with dwarf stature [20]. The Indian Ocean serves as one of the major sources of nutrient inputs [21], which causes a gradient of oligotrophication to the north [22], together with an upsurge in salinity as a result of increased evaporation [20, 23]. The central Red Sea is characterized by high temperatures (24.0–33.0°C) and salinity (38.4~39.8 ‰) [24], which are substantially increased by strong evaporation and intense solar radiation. Most mangroves in the central Red Sea are negatively influenced by anthropogenic activities such as urban and industrial development [18] and hydrological events such as seasonal flooding, an influx of land runoff containing agricultural waste, stagnant water, and decreased circulation [19]. However, it is crucial to understand how environmental factors or proxies of stress influence stress in mangroves at the central Red Sea, such as increasing solar radiation, temperature, and evaporation could be triggered by current global warming.
Here we examine carbon and nutrient concentration, nutrient limitation, and environmental factors contributing to stress, and to what degree is the stress has occurred in mangroves at the central Red Sea. Surface sediment (0–20 cm) and A. marina leaves were sampled from six mangrove stands which were thought to vary in seawater temperature, salinity, pH, dissolved oxygen and sediment nutrients concentrations. The objectives of this study were to determine the order of mangrove ecosystems investigated in terms of nutrient accumulation in sediments, seawater physicochemical parameters and the influence of nutrient and physicochemical parameters on oxidative stress in Avicennia marina.
Antioxidant enzymes such as CAT, GST, and SOD are among the basic stress enzymes [25]. They can modulate plants’ growth and physiological activities under environmentally stressed conditions by playing a vital role in removing reactive oxygen species (ROS) such as H2O2 and O2 produced due to stress. This could lead to reducing membrane lipid peroxidation and stabilization of the cell membrane [26, 27]. Antioxidants prevent oxidative damage of cells in plants by scavenging ROS produced during stress conditions; thus, increasing ROS triggers increases antioxidants [19, 25–27]. This process has made it possible and appropriate to use antioxidants as biomarkers of stress [28].
Nitrogen stable isotope values can be employed to get good information on nutrient sources in an aquatic environment [29, 30], while stable carbon isotope provides an understanding of carbon flow contribution from terrestrial and non-terrestrial sources [9]. The nonexistence of a risk assessment by stakeholders and monitoring framework presently for stressors such as nutrient and physicochemical parameters in the central Red Sea mangrove ecosystems, possibly due to anthropogenic activities, is of major concern. Therefore, this study aims to determine the order in which nutrient variation in mangrove sediments and physicochemical parameters such as high temperature and salinity synergistically contribute to stress in A. marina across six mangrove stands in the central Red Sea. Thus, our findings should support management strategy development by stakeholders and the government to conserve these important ecosystems.
Materials and methods
Study area
The Red Sea is composed of about 135 Km2 area of mangroves, distributed up to the northern boundary of mangroves at 28.207302°N [24]. The Indian Ocean serves as one of the major sources of nutrient input to the Red Sea, causing a gradient of oligotrophication to the northern part and a rise in salinity due to evaporation [31]. The surface temperature of the Red Sea decreases from the southern part to the north. The central Red Sea is in an arid environment with high temperatures and sparse rainfall; the mean annual (sporadic) rainfall in the Jeddah region is 55 mm, the salinity is relatively high [31], and the nutrient inputs is low. Some mangrove habitats of the Saudi Arabian Red Sea develop as a narrow fringe that could support halophytes located along the shore and adjacent to sand flats which sometimes flood [20].
The sampling locations (Fig 1) in this study were chosen based on the spatial distribution of mangroves, differences in the composition of monospecific stands of Avicennia marina, abundance and height, anthropogenic activities and anthropogenic sources of nutrients (Table 1). Specifically, six (6) mangrove stands were chosen, which include Al Lith (20°08’~18.70’’N, 40°16’~41.74’’E): Production and extraction of living and non-living resources (aquaculture, fishing and capital dredging). South Jeddah (20°15’~43.92’’N, 40°25’~11.37’’E): Extraction of natural resources (fishing) and seaport in its southern part, power plant, and dredging for maintenance. Dahban (21°59’~05.1’’N, 38°58’~42.9’’E): Recreation-like activities in the catchment and fishing in the mangroves. Thuwal Island (22°16’~36.99’’N, 39°05’~00.34’’E): Tourism or recreation, fishing and desalination plant. Rabigh lagoon (22°53’~51.86’’N, 38°55’~13.25’’E): Large petrochemical complex at the catchment (refinery), receive land runoff passing through agricultural fields, stagnant water due to decreased circulation and livestock activities such as camel grazing.
LT—Al Lith, SJ—South Jeddah, DB—Dahaban, TH—Thuwal, RB—Rabigh and MA–Mastorah.
Sample collection and physicochemical parameter of seawater
The field site assess permit (Request number: 23992) was secured from Saudi Border Guard, Ministry of Interior, Saudi Arabia. A total of 90 matured leaves of A. marina and 90 surface sediment (0–20 cm) were sampled at each of the six mangrove stands at Al Lith, South Jeddah, Dahaban, Thuwal, Rabigh and Mastorah. Sampling was conducted once per month from May 2019 to April 2020. Leave samples were collected from 15 mangrove trees at each site for analyses of nutrients, stable isotopes and antioxidants, while 15 surface sediment samples were collected for analyses of nutrient, stable isotopes, and sediment grain sizes. The samples were stored in clean zip lock bags, placed inside an ice cooler box, and conveyed to the laboratory. The sediments were sampled using Van Veen grab-250 cm2. At the six mangrove stands, in-situ measurement of physicochemical parameters such as salinity, pH, surface seawater temperature, dissolved oxygen (DO) was performed using a handheld YSI 556 MPS multi-parameter meter. Surface temperature and salinity were used to determine seawater density [32].
Analyses of phosphorus, total organic matter and nitrogen in leaves and sediments
Oven-dried (40°C for 48 h) matured leaves of A. marina were ground into powder using an agate mortar and pestle, then sieved the remains with a 53 μm sieve. We digested 0.2 g of the ground leaf in HNO3 and H2O2 (3:1) at 180°C for 45 min. We weighed 0.4 g of dried sediments and placed these samples into a 50 ml digestion vessel, then added 8 ml of HNO3: HCl (1:1). The vessel was placed inside Anton-Paar PE Multiwave 3000 microwave oven and digested at 200°C for about 1 hr [33]. The vessel was filled by adding Ultrapure Millipore Q water and placed on a shaker for 24 h. A GF/F filter (Whatman) was used to filter the solution, and later total phosphorus (TP) concentration was analyzed in the filtrate using a Varian 720-ES (ICP-OES) inductively coupled plasma-optical emission spectrometer.
A FLASH 2000 CHNS analyzer was used to determine total organic carbon (TOC) and total nitrogen (TN) after 2 mg of ground leaves were weighed and loaded into a tin capsule [34]. The Semimicro-Kjeldahl and K2Cr2O7/H2SO4 oxidation methodological protocol were followed to analyze nitrogen and carbon contents in sediments [35].
Grain size analyses
The total dry weight of oven-dried sediment samples was determined. First, distilled water was used to soak the dried sediments overnight to disintegrate the solidified aggregates. Wet sediments were washed gradually and passed through 0.063-mm and 2-mm sieves to separate fractions of gravel (>2 mm), coarse grain (0.063–2 mm) and mud (clay and silt, <0.063 mm). The fractions of the residue obtained in the sieves were weighed after drying at 40°C to determine different sediment grain size percentages [36].
Analyses of stable carbon and nitrogen isotope
The protocol described in Gong and Zhang [37] was used to measure stable isotopes. Carbonate was removed from the dried sediment samples by treatment with 10% HCl (v/v) and rinsed with ultrapure Millipore Q water until a pH of 7.0 was reached. The sediment samples were then ground after drying in an oven at 50ºC. Samples of dry leave were ground and homogenized and then directly analyzed. Bulk organic matter δ13C and δ15N were determined using a Thermo elemental analyzer–ConFlo IV–Delta V Advantage mass spectrometer in Ocean College, Zhejiang University. All results for δ13C and δ15N were reported to V-PDB and air-N2, respectively. The expected standard deviation was less than 0.2‰.
Measurement of CAT, GST and SOD in A. marina
Distilled water was used to wash the A. marina leaves to remove debris, and the leaves were pulverized in an ice-cold mortar and pestle with a 0.01(M) phosphate buffer (pH 7), then centrifuged at 14,000 rpm 4°C for 24 min [27, 38]. After centrifuging, the supernatant was used to measure antioxidant enzyme activities with a Labtronics spectrophotometer (Model: LT-291 Single Beam UV-VIS).
CAT activity was measured using the reaction mixtures containing 0.01 M phosphate buffer, 30 mM hydrogen peroxide, and the enzyme extract. It was measured at an absorbance of 230 nm for 2 min., in μmol/min/mg protein.
The reaction mixture used for assay of GST activity was made of 1 mM 1-chloro 2,4-dinitrobenzene (CDNB), 0.1 M potassium phosphate buffer at pH 6.5, 1 mM-40 mM GSH, and 100 μL of leaf extracts in a total volume of 1 mL. Activities were measured at 340 nm per min, after the production of GS-DNB, and were recorded with a spectrophotometer at 25°C [39].
The protocol described by Keyster et al. [40] was used for the assay of SOD. We added 10 μl of the enzyme extract to a reaction mixture containing 0.1 mM xanthine, 6.25 nM xanthine oxidase, 50 mM K2HPO4, pH 7.8, 0.1 mM EDTA, 0.025% (w/v) Triton X-100, and 0.1 mM 2-(4-iodophenyl)-3-(4-nitrophenyl)-5-(2,4-disulfophenyl)-2H-tetrazolium (WST-1). SOD activity was measured on a spectrophotometer at an absorption of 450 nm at 37°C for 20 min. The specific activity was recorded as units/mg protein, where 1U of enzyme activity is the enzyme concentration required to avoid 50% production of chromogen under conditions of the assay for 1 minute.
Data analysis
The hypotheses tested in this study are (i) if nutrients in sediment and mangrove A. marina sediment grain sizes, physicochemical parameters and antioxidant enzyme activities varies significantly across the sites and (ii) if a significant relationship exists between nutrients in sediments and A. marina, sediment grain sizes, physicochemical parameters and antioxidant enzyme activities. The predictions were based on possible salinity and nutrient stress at Rabigh site as it receives land runoff from agricultural fields about 5 km away from its southern end, livestock activities and decreased seawater circulation at its northern end. In addition, stress due to nutrient limitation and anthropogenic activities such as extraction of resources at the mangroves and agricultural activities approximately 7 km away from Al lith, South Jeddah, Dahaban and Thuwal sites were predicted as causal of stress. In contrast, the Mastorah site was 50 km away from huge industrial activities and was the only possible cause of stress predicted.
Data analysis was performed after initial homogeneity of variance and a test of normality was carried out using Levene’s homogeneity of variance and Shapiro-Wilk tests, respectively. One-way analysis of variance (ANOVA; α = 0.05) was used to determine significant differences in nutrients in sediments and A. marina, sediment grain sizes, physicochemical parameters and antioxidant enzyme activities across the six mangrove stands. Where statistical significance occurred, Tukey’s post-hoc test was used for mean separation at P < 0.05. Correlation-base dimensional principal component analysis (PCA) using the factoextra package and Pearson correlation were employed to test the relationship between nutrients in sediments and A. marina, sediment grain sizes, physicochemical parameters and antioxidant enzyme activities. Before the PCA analysis, the index was set at correlation, and relationships between variables were deduced from the PCA pattern after analysis. Data analysis was achieved using R for Windows (v. 4.0.3).
Results and discussion
Changes in environmental parameters and percentage of mud and sand in study sites
Physicochemical parameters such as salinity, temperature, DO, pH and density vary across the six different sites in this study selected at the central Red Sea (Table 2). Seawater surface temperatures range from 26.89°C at Thuwal to 29.32°C at Rabigh. Salinities in the six sites vary from the lowest value of 38.81 at Thuwal to the highest value of 40.75 at Rabigh. The seawater surface temperature and salinity results with high S.E. revealed frequent changes in these parameters in the sites across time. DO measurements ranged from 5.21 mg/L at Rabigh to 6.41 mg/L at Thuwal. However, there exists no significant difference in DO values recorded at Al lith, South Jeddah, Dahaban, Thuwal and Mastorah. Minimal variation was established for pH values, with the lowest value of 8.11 at Thuwal and the highest value of 8.49 at Rabigh. Seawater surface density range from 1025.59 kg m-3 at South Jeddah to 1026.28 at Rabigh (Table 2).
Significant differences (P < 0.05) in the percentages of different grain sizes of sediment classes were recorded among study sites (Table 3). The coarse grain (0.063–2 mm) percentage in sediments range from 45.50% at Rabigh to 88.83% at South Jeddah, clay silt particles (< 0.063 mm) ranged from 10.53% at South Jeddah to 54.29% at Rabigh, while gravels (> 2mm) range from 0.20% at Rabigh and Dahaban to 0.63% at South Jeddah (Table 4). These results were used to classify sediment type (see Table 4).
The amount of rainfall in different coastal regions has considerable implications on changes in such environmental parameters as salinity, temperature and pH. This observation applies to the entire central Red Sea region with the dry season and annual average rainfall of only about 0.5 mm and 51.2 mm respectively [41]. This could give an insight into the possible frequently changing seawater surface temperature and salinity in mangrove sites across time [41]. High solar radiation is the primary reason for high temperature in the central Red Sea. With intense evaporation and decreased rainfall, the resultant decrease in land runoff in most study areas exacerbated high salinity levels [42]. However, the inverse trend of DO with temperature and salinity in this study results from the effect of salinity and temperature on oxygen dissolution [43]. The Rabigh mangrove ecosystem was unique among the six study areas with other variables indicative of its pristine nature. Restricted circulation with the tendency of even greater evaporation contributed to high salinity and temperature, with a resultant increase in seawater surface density (1026.28 kg m-3) relative to other mangrove ecosystems.
The lowest DO at Rabigh results from decreased solubility in the warmer water body [42], resulting in a predominance of clay and silt sediment texture and high nutrients in the sediments.
Factors for nutrients distribution in mangrove stands
The concentrations of TOC, TN and TP were vastly higher in mangrove leaves than those in sediments (Table 5). However, TOC, TN and TP in sediments at Rabigh were significantly (P < 0.05; Table 3) higher compared to the concentrations recorded at Al lith, South Jeddah, Dahaban, Thuwal and Mastorah mangrove stands (Table 4).
Increasing concentrations of TOC, TN and TP in sediment among study areas were in the order Rabigh>Thuwal>Dahaban>Al lith>South Jeddah>Mastorah (ANOVA; P < 0.05; Table 3). TN in mangrove leaves at Rabigh was the highest and was about 1.3 times higher than at South Jeddah and far greater than in the sediments at Rabigh and South Jeddah (Table 4). The TP concentration in leaves at Rabigh was about 1.5 times higher than at South Jeddah and substantially lower than in the sediments (Table 4), signifying a lower enrichment factor of TP in leaves than the sediment.
The principal component analysis results for sediment grain size, C/N ratio, N/P ratio, stable isotope and nutrients indicate that dimensions 1 (76.1%) and 2 (14.6%) explain most of the variability (Fig 2A and 2B). Grouping of study areas is presented in Fig 2B, revealing Rabigh and Mastorah not forming a group with other study areas. There were similarities between Dahaban and Thuwal, and South Jeddah and Al lith.
C—Total organic carbon, N—Total nitrogen, P—Total phosphorus, δ13C—Carbon isotope, δ15N—Nitrogen isotope, C:N—Carbon-Nitrogen ratio, N:P—Nitrogen-Phosphorus ratio, CS—Coarse sandy, CSTP—Clay and Silt particles, G–Gravels, 1–8—Study areas (1-Al Lith, 2-South Jeddah, 3-Dahaban, 4-Thuwal, 5-Rabigh and 6-Mastorah).
The percentages of clay and silt are strongly associated with N/P, nutrients, and δ13C in the sediments, whereas coarse fractions and gravels in sediments are associated with C/N (Fig 2A and 2B). The type of sediment grain size varies substantially across the study areas. The highest percentages (88.83 and 0.63%) of coarse and gravel grain sizes at South Jeddah are not significantly different from those at Al lith. However, the lowest coarse grain size percentage was recorded at Rabigh with about 5 times more clay and silt grain sizes than at South Jeddah, suggesting that the sediment texture type at Rabigh be classified as loamy sand. Although, the sediment at Rabigh was about 45.50% and 0.20% of coarse sediment and gravel respectively, and the clay silt particles were only about 1.19 times of coarse sediment particles (Table 4). South Jeddah has the highest C/N ratio (15.41) and lowest N/P ratio (1.69) in sediments, and the highest C/N (37.77) and N/P ratio (2.09) in mangrove leaves. However, Dahaban has the lowest C/N ratio (4.74) in sediment, which was not substantially different from C/N ratio (5.14) at Rabigh. The lowest C/N ratio and N/P ratio in mangrove leaves were recorded at Rabigh and Dahaban, respectively and were about 1.30 and 1.18 times that of South Jeddah (Table 5).
In each study site, we classified types of land use and predominant anthropogenic activities. These factors vary from one mangrove ecosystem to another. However, PCA components 1 and 2 explained 73% of the total variation, suggesting that anthropogenic activities influence nutrients (Fig 3A and 3B). Factors such as human population, industrialization, agricultural activities, livestock activities had a higher contribution (>7) to the total variation (Fig 3A).
C—Total organic carbon, N—Total nitrogen, P—Total phosphorus, δ13C—Carbon isotope, δ15N—Nitrogen isotope, C:N—Carbon-Nitrogen ratio, N:P—Nitrogen-Phosphorus ratio, POP–Human population, DRG—Dredging, ELS—Extraction of living resources (Fishing), TRE- Tourism and recreation, LVA—Livestock activities, AGA—Agricultural activities, IDA—Industrialization, 1–8—Study areas (1-Al Lith, 2-South Jeddah, 3-Dahaban, 4-Thuwal, 5-Rabigh and 6-Mastorah).
The substantial differences in organic carbon, nitrogen and phosphorus in the sediments across the study areas are most likely due to anthropogenic impact, including socio-economic and environmental transformations, urban effluent, land runoff containing fertilizers, extraction of living resources such as fishing, among others [4, 5]. Restricted circulation, sediment texture, the input of land runoff containing agricultural fertilizer and camel grazing are the key reasons for higher N and P enrichment in Rabigh site than the others.
Our results showed that TN and TOC in sediment at Rabigh were 38 and 24 times the concentrations at Mastorah. This suggests a higher increase in TN than TOC, which can be explained by stimulation of soil C remineralization by urban effluents or land runoff as reported elsewhere in a tropical mangrove ecosystem [44]. Further, phosphate at Rabigh was 48 times the value at Mastorah, which had the lower concentration of phosphate among the mangroves. It is worth noting that the average TN and TP for the six mangroves were 2.5 and 6 folds the values (TN = 0.06% and TP = 0.01%) reported in a conserved subtropical mangrove forest in southeastern Australia dominated with A. marina [3]. This suggests the influence of anthropogenic activities such as agricultural activities in the catchment of the six mangroves under study [4]. Congruent to Almahasheer et al. [13], TN and TP in leaves were higher than the concentrations in sediment; however, the average TN in leaves at our study sites was about 50% of that (1.84%) reported earlier in some oligotrophic areas of the central Red Sea. TP (0.066%) in oligotrophic areas of the central Red Sea was 10% of that reported in our study [45], suggesting more phosphorus enrichment than nitrogen.
Higher clay and silt particles in Rabigh and Thuwal relative to the other mangrove stands coincide with their high nutrient concentrations. Clay particles have been reported to have a high nutrient absorption capacity in the form of organic molecules [46–48]. In addition, the water residence time in these two mangrove stands, especially Rabigh, when compared to other mangroves, might have allowed the dissolved and particulate nutrients in surface water settled to the benthic region [36, 49]. This is unlike other study sites because of its rapid circulation and low water residence time that may decrease the settling of the nutrients to the benthic regions of seawater in the mangrove ecosystems. The unique case of the Rabigh mangrove stand is the restricted inflow of seawater that resulted in the stagnation of water and low DO reported in this study. The input of land runoff from Rabigh City and Wadi Rabigh due to seasonal flood events [50], containing agricultural waste and restricted circulation, has given more insight into the increase in nutrients in this ecosystem than the others. Additionally, fecal pellets from livestock such as camel during grazing on mangrove plants tend to add to N and P in sediments, as reported in southern Australia [51].
Environmental factors for stress in A. marina
The antioxidant enzymes CAT (9.15 μmol/mg protein), GST (51.60 μmol/mg protein) and SOD (7.05 μmol/mg protein) activities served as biomarkers of oxidative stress among all the study areas were highest in mangroves at Rabigh (Table 3). However, mangroves at Thuwal had the lowest CAT (4.98 μmol/mg protein), GST (9.13 μmol/mg protein) and SOD (3.56 μmol/mg protein), but was not significantly different from the antioxidants activities in mangroves at Dahban. Correlation-based PCA revealed a strong positive correlation between TOC (r = 0.8549), TN (r = 0.8934) and TP (r = 0.8650) in leaves of A. marina and antioxidant enzymes activity (Fig 4A and 4B). A strong negative relationship was established between dissolved oxygen (r = -0.9688) and antioxidants (CAT, GST and SOD), salinity, and temperature, while a weak positive relationship was established between mangrove height (r = 0.3719) and antioxidants (CAT, GST and SOD), salinity, and temperature (Fig 4A and 4B). Dimensions 1 and 2 contributed 53.4% and 25.5% of the total variation (Fig 4A and 4B).
C—Total organic carbon, N—Total nitrogen, P—Total phosphorus, δ13C—Carbon isotope, δ15N—Nitrogen isotope, C:N—Carbon-Nitrogen ratio, N:P—Nitrogen-Phosphorus ratio, CAT—Catalase, GST—Glutathione S- transferase, SOD—Superoxide dismutase, DO—Dissolve oxygen, MH—Mangrove height, Temp—Temperature, ρ–Density, 1–8—Study areas (1-Al Lith, 2-South Jeddah, 3-Dahaban, 4-Thuwal, 5-Rabigh and 6-Mastorah).
Pearson correlation revealed a significant positive correlation between TOC, TN, and TP with GST, SOD and CAT respectively. A strong negative correlation was revealed between DO and CAT, GST, SOD, temperature and salinity. Further, a strong positive correlation was revealed between salinity and CAT, GST and SOD (Table 6).
Therefore, salinity, then temperature and nutrients are the most important contributing factors to the total variation in the Rabigh mangrove ecosystem. These characteristics are negatively correlated with DO and positively correlated with mangrove height (Fig 4A and 4B).
The cellular damage and photosynthesis inhibition are caused by the reactive oxygen species (ROS) such as H2O2, OH and O2 produced during oxidative stress, which is triggered by abiotic stress factors such as high salinity, high temperature, and nutrient limitation [25, 52]. Such antioxidant enzymes as superoxide dismutase catalase (CAT), Glutathione S-transferase (GST), superoxide dismutase (SOD) and peroxidase (POD) are some of the antioxidative defense system used by plants, including mangroves, to scavenge excess ROS produced in a stressed condition. This system terminates the chain of lipid peroxidation [53]. Thus, antioxidants serve as early warning signals of physiological response to stress conditions in mangroves [26, 27, 54, 55].
There were significant differences in CAT, GST and SOD measurements within mangrove leaves at different study sites, with the highest mean antioxidant activities at Rabigh, South Jeddah and Al lith. However, positive correlations between TOC, TN and TP and the three antioxidants suggest that stress in these mangrove stands might be attributable to nutrient limitation [56]. Sanders et al. [8] reported a high TN (9.25%) and TP (2.13%) in a conserved mangrove forest with Avicennia sp. in southeastern Brazil. Elsewhere, A. marina stands with the highest stem density, biomass and height (12.9 m) in Matang Mangrove Forest Reserve in Malaysia were reported to have a very high TN (12.01%) and TP (0.276%) [57]. In contrast, Dangremond and Felle [58] found out lower values of 0.02% and 0.006% for TN and TP in the Caribbean population of the rare mangrove Pelliciera rhizophorae. Additionally, TN and TP in the stunted mangrove trees of A. marina leave in the oligotrophic central Red Sea were only 0.84–2.89%, and 0.007–0.12%, respectively, while 0.025–0.639% and 0.014–0.098% for TN and TP, respectively in sediments [45].
It is important that the average value of TN (1.3%) in leaves among the six mangrove stands was about 11% of that in healthy mangrove leaves in Malaysia [57] and 14% of that in a conserved mangrove forest in southeastern Brazil [8]. On the other hand, TP values were 25% and 33% of that in Malaysia [57] and southeastern Brazil [8]. This suggests that N limitation was one of the key causes for stress in the six mangrove stands. However, the mangrove stand at Rabigh is in a more favorable condition in terms of nutrient content in comparison to the other five ecosystems and those reported by Anton et al. [45] from the oligotrophic sites on the coast of the central Red Sea.
The Rabigh site is different from the other five mangrove sites, even in terms of water residence time (Table 1), physicochemical parameters (high salinity, high temperature, low DO and high seawater density), anthropogenic impact, N and P in leaves and sediments. TN (0.38%) and TP (0.145) (Table 4) in sediments were the highest among the six study areas. However, N in leaves was about 1/6 and 1/8 of that in conserved mangroves in southeastern Brazil and healthy mangroves in Malaysia. P content in leaves was even greater than the latter, signifying N limitation may not be a fundamental contributor for the major stress in mangroves at the Rabigh mangrove ecosystem. The lowest DO observed at Rabigh mangrove stand relative to the other five mangrove stands (Table 2) was presumably due to the presence of stagnant water and bacterial community metabolism [59]. However, it also coincides with antioxidants activities and weak positive correlation (r = 0.3276) with mangrove height (Fig 4A and 4B), suggesting the effect of low DO could impact the whole mangrove ecosystem complexes and exacerbate stress in mangroves [49, 60].
The weak positive correlation between mangrove height and both salinity and temperature was presumably due to higher concentrations of salinity at these sites, which might have contributed to reduced nitrogen uptake efficiency and potassium uptake inhibition. This may have caused lipid peroxidation and oxidative damage or stress in A. marina [55, 61]. Higher nutrient concentrations were reported to enhance the salt tolerance of mangroves and contributed to increased mangrove height despite high salinity [62]. However, other factors such as heavy metals reported in Red Sea mangroves [13] can synergize with salinity to contribute to oxidative stress in such ecosystems [55]. High temperatures in this ecosystem constitute a type of abiotic stress that can affect the developmental, physiological, and biochemical integrity of mangroves [63]. Exposure of mangroves to elevated temperatures (i.e., >25°C) has triggered abscission of leaves, growth inhibition of shoot and fruit damage [64]. This most likely could be the reason for a positive correlation (r = 0.9012) between temperature and the antioxidants (CAT, GST and SOD) activities in A. marina at our sites.
Stable isotopes of carbon and nitrogen in sediments and mangrove leaves
The stable isotopes of carbon δ13C in mangrove leaves ranged from -27.92‰ to -26.94‰, with a significant difference among our study sites (Table 5). δ13C values in leaves at Al lith were the lowest, but with no significant difference with the values at Dahaban and South Jeddah. The sediment’s δ13C values were substantially higher than those in mangrove leaves (Table 4, Fig 5A). Median values for δ13C across the study sites in sediment and leaves are presented in Fig 5A. The values of δ15N in mangrove leaves ranged from 1.97‰ at Mastorah to 3.09‰ at Rabigh (Table 5). For sediment, the lowest value of δ15N was 2.03 at Mastorah, and the highest was 4.39 at Rabigh and were 1.03 and 1.42 greater than the values in mangrove leaves. Thus, sediments had higher δ15N values of about ~1‰ than the mangrove leaves across the six sites (Fig 5B).
SI–Stable isotope value, iqr–interquartile range, LT-Al Lith, SJ-South Jeddah, DH-Dahaban, TH-Thuwal, RB-Rabigh and MA-Mastorah.
δ13C values in the mangrove sediments were positively correlated with organic carbon (r = 0.8372), total nitrogen (r = 0.9451), total phosphate (r = 0.941) and negatively correlated with C/N (-0.8543). However, δ15N in sediments correlated positively with N/P (r = 0.8644) (Fig 2A and 2B). The values of δ13C and δ15N were associated with mangrove height and dissolved oxygen (Fig 4A and 4B), especially at the Rabigh mangrove stand (Fig 4B). Moreover, a negative correlation existed between N/P (r = -0.2312) and δ15N (Fig 4A and 4B).
Heavier δ13C in sediment recorded at Rabigh was more significant than that at Al lith by ~10‰. The value of δ13C for Al lith is the lowest among the six mangrove sites. However, δ13C in A. marina leaves at Rabigh was only greater than that at Al lith by ~1‰ (Table 5). The average value of δ13C in sediment among the six mangrove stands was higher than in leaves by ~10‰ (Fig 5A, Tables 4 and 5). Stress triggered by high salinity (40.75 ‰) (Table 2) could be the reason for the different or additional enrichment of δ13C in A. marina leaves across the mangrove stands, especially at Rabigh. Elsewhere, an increase in δ13C signatures from -33.81 to -28.41 ‰ was triggered by an upsurge in salinity concentration from 13 to 24 [65]. Stress in plants, including mangroves, exhibits a phenomenon known as stomatal conductance, which is an indirect consequence of stress and can result in intercellular CO2 pressure depletion [66]. However, since 12C is favorably assimilated due to discrimination during decarboxylation and diffusion, 13C enrichment in the assimilated material is caused by reduced CO2 pressure [65, 66].
The average δ15N value for the six mangroves is higher than those reported in Laguncularia racemosa in Florida, USA [67] (1.85–2.05‰) and A. marina in Australia (1.6–2.2‰) [68], possibly due to increased N cycling associated directly with anthropogenic impacts [8]. Agricultural waste is a product of anthropogenic activities and could contribute to an increase in δ15N values [57, 65, 69]. A possible influence of product of anthropogenic activities in mangrove ecosystems such as agricultural waste have been reported in a mangrove ecosystem in Matang mangrove ecosystem in Malaysia, New Zealand (5.4–9.8‰) [30], and other impacted sites located along the coast of the Red Sea (~4‰) [18].
Conclusions
The results presented in this research indicate significant variation in carbon and nutrients (TN and TP) among six mangrove ecosystems in the central Red Sea part of Saudi Arabia. The differences may be associated with environmental impacts such as agricultural waste, extraction of natural resources, hydrological events, and changes in physicochemical parameters such as salinity and temperature. There were higher TN and δ15N in Rabigh, presumably due to stagnant water, runoff bringing agriculture waste from catchments and widespread livestock activities such as camel grazing.
N limitation and possibly salinity are likely sources of stress in Al lith, South Jeddah, Dahaban, Thuwal and Mastorah mangrove stands. However, the source of the biggest stress at Rabigh is salinity (r = 0.9012), as it influences antioxidants more than any other stressor. At the same time, the higher nutrient concentrations enhanced mangrove height even at high salinity. High temperature and low DO cannot be ruled out as sources of stress. The difference in δ13C enrichment across the mangrove stands or extra enrichment, especially at Rabigh relative to other mangrove ecosystems, was caused by stress resulting from extreme salinity, which confirms salinity to be the primary contributor of stress. The findings in this research suggest the use of nutrients and physicochemical parameters of seawater and antioxidant enzyme activities in mangroves can be used as proxies for oxidative stress and manage mangrove ecosystems across the Red Sea.
Acknowledgments
The authors gratefully acknowledge technical support from the Ministry of Education and King Abdulaziz University, Jeddah, Saudi Arabia.
References
- 1. Duarte CM, Losada IJ, Hendriks IE, Mazarrasa I, Marbà N. The role of coastal plant communities for climate change mitigation and adaptation. Nat Clim Chang. 2013;3: 961–968.
- 2. Machado W, Sanders CJ, Santos IR, Sanders LM, Silva-Filho E V, Luiz-Silva W. Mercury dilution by autochthonous organic matter in a fertilized mangrove wetland. Environ Pollut. 2016;213: 30–35. pmid:26874872
- 3. Conrad SR, Santos IR, Brown DR, Sanders LM, van Santen ML, Sanders CJ. Mangrove sediments reveal records of development during the previous century (Coffs Creek estuary, Australia). Mar Pollut Bull. 2017;122: 441–445. pmid:28709526
- 4. Passos T, Penny D, Sanders C, De França E, Oliveira T, Santos L, et al. Mangrove carbon and nutrient accumulation shifts driven by rapid development in a tropical estuarine system, northeast Brazil. Mar Pollut Bull. 2021;166: 112219. pmid:33690084
- 5. Pérez A, Machado W, Sanders CJ. Anthropogenic and environmental influences on nutrient accumulation in mangrove sediments. Mar Pollut Bull. 2021;165: 112174. pmid:33621900
- 6. Alongi DM. Carbon cycling and storage in mangrove forests. Ann Rev Mar Sci. 2014;6: 195–219. pmid:24405426
- 7. Breithaupt JL, Smoak JM, Smith TJ III, Sanders CJ. Temporal variability of carbon and nutrient burial, sediment accretion, and mass accumulation over the past century in a carbonate platform mangrove forest of the Florida Everglades. J Geophys Res Biogeosciences. 2014;119: 2032–2048.
- 8. Sanders CJ, Eyre BD, Santos IR, Machado W, Luiz‐Silva W, Smoak JM, et al. Elevated rates of organic carbon, nitrogen, and phosphorus accumulation in a highly impacted mangrove wetland. Geophys Res Lett. 2014;41: 2475–2480.
- 9. Pérez A, Machado W, Gutierrez D, Smoak JM, Breithaupt JL, Saldarriaga MS, et al. Carbon and nutrient accumulation in mangrove sediments affected by multiple environmental changes. J Soils Sediments. 2020;20: 2504–2509.
- 10. Borges HV, Nittrouer CA. Sediment accumulation in Sepetiba Bay (Brazil) during the Holocene: A reflex of the human influence. J Sediment Environ. 2016;1: 90–106.
- 11. Breithaupt JL, Smoak JM, Byrne RH, Waters MN, Moyer RP, Sanders CJ. Avoiding timescale bias in assessments of coastal wetland vertical change. Limnol Oceanogr. 2018;63: S477–S495. pmid:29937578
- 12. Koch MS, Snedaker SC. Factors influencing Rhizophora mangle L. seedling development in Everglades carbonate soils. Aquat Bot. 1997;59: 87–98.
- 13. Almahasheer H, Duarte CM, Irigoien X. Leaf nutrient resorption and export fluxes of Avicennia marina in the Central Red Sea area. Front Mar Sci. 2018;5: 204.
- 14. Naidoo G. Differential effects of nitrogen and phosphorus enrichment on growth of dwarf Avicennia marina mangroves. Aquat Bot. 2009;90: 184–190.
- 15. Feller IC, McKee KL, Whigham DF, O’neill JP. Nitrogen vs. phosphorus limitation across an ecotonal gradient in a mangrove forest. Biogeochemistry. 2003;62: 145–175.
- 16. Alongi DM. Early growth responses of mangroves to different rates of nitrogen and phosphorus supply. J Exp Mar Bio Ecol. 2011;397: 85–93.
- 17. Lovelock CE, Feller IC, Ellis J, Schwarz AM, Hancock N, Nichols P, et al. Mangrove growth in New Zealand estuaries: the role of nutrient enrichment at sites with contrasting rates of sedimentation. Oecologia. 2007;153: 633–641. pmid:17492316
- 18. Almahasheer H, Serrano O, Duarte CM, Arias-Ortiz A, Masque P, Irigoien X. Low carbon sink capacity of Red Sea mangroves. Sci Rep. 2017;7: 1–10. pmid:28127051
- 19. Aljahdali MO, Munawar S, Khan WR. Monitoring Mangrove Forest Degradation and Regeneration: Landsat Time Series Analysis of Moisture and Vegetation Indices at Rabigh Lagoon, Red Sea. Forests. 2021;12: 52.
- 20. Almahasheer H, Duarte CM, Irigoien X. Nutrient limitation in central Red Sea mangroves. Front Mar Sci. 2016;3: 271.
- 21. Raitsos DE, Yi X, Platt T, Racault M, Brewin RJW, Pradhan Y, et al. Monsoon oscillations regulate fertility of the Red Sea. Geophys Res Lett. 2015;42: 855–862.
- 22.
Ismael AA. Phytoplankton of the Red Sea. Red Sea. 2015; 567–583.
- 23. Talley LD. Salinity patterns in the ocean. Earth Syst Phys Chem Dimens Glob Environ Chang. 2002;1: 629–640.
- 24.
Rasul NMA, Stewart ICF. Oceanographic and biological aspects of the Red Sea. Springer; 2018.
- 25. Jithesh MN, Prashanth SR, Sivaprakash KR, Parida A. Monitoring expression profiles of antioxidant genes to salinity, iron, oxidative, light and hyperosmotic stresses in the highly salt tolerant grey mangrove, Avicennia marina (Forsk.) Vierh. by mRNA analysis. Plant Cell Rep. 2006;25: 865–876. pmid:16534598
- 26. Farzana S, Cheung SG, Zhou HC, Tam NFY. Growth and antioxidative response of two mangrove plants to interaction between aquaculture effluent and BDE-99. Sci Total Environ. 2019;662: 796–804. pmid:30708295
- 27. Aljahdali MO, Alhassan AB. Saudi Journal of Biological Sciences Ecological risk assessment of heavy metal contamination in mangrove habitats, using biochemical markers and pollution indices: A case study of Avicennia marina L. in the Rabigh lagoon, Red Sea. Saudi J Biol Sci. 2020;27: 1174–1184. pmid:32256181
- 28. Aljahdali MO, Alhassan AB. Spatial Variation of Metallic Contamination and Its Ecological Risk in Sediment and Freshwater Mollusk: Melanoides tuberculata (Müller, 1774)(Gastropoda: Thiaridae). Water. 2020;12: 206.
- 29. Graniero LE, Grossman EL, O’Dea A. Stable isotopes in bivalves as indicators of nutrient source in coastal waters in the Bocas del Toro Archipelago, Panama. PeerJ. 2016;4: e2278. pmid:27547578
- 30. Gritcan I, Duxbury M, Leuzinger S, Alfaro AC. Leaf stable isotope and nutrient status of temperate mangroves as ecological indicators to assess anthropogenic activity and recovery from eutrophication. Front Plant Sci. 2016;7: 1922. pmid:28066477
- 31. Churchill JH, Bower AS, McCorkle DC, Abualnaja Y. The transport of nutrient-rich Indian Ocean water through the Red Sea and into coastal reef systems. J Mar Res. 2014;72: 165–181.
- 32. Zhang Z, Smittenberg RH, Bradley RS. GDGT distribution in a stratified lake and implications for the application of TEX 86 in paleoenvironmental reconstructions. Sci Rep. 2016;6: 1–10. pmid:28442746
- 33.
Agency USEP. Method 3051A: Microwave assisted acid digestion of sediments, sludges, soils, and oils. SW-846 Test methods Eval solid waste, Phys Chem methods Off Solid Waste. 1994.
- 34.
Zimmermann CF, Keefe CW, Bashe J. Method 440.0: Determination of Carbon and Nitrogen in Sediments and Particulates of Estuarine/Coastal Waters Using Elemental Analysis. United States Environmental Protection Agency, Office of Research and …; 1997.
- 35. Yeomans JC, Bremner JM. Carbon and nitrogen analysis of soils by automated combustion techniques. Commun Soil Sci Plant Anal. 1991;22: 843–850.
- 36. Prasad MBK, Ramanathan AL. Sedimentary nutrient dynamics in a tropical estuarine mangrove ecosystem. Estuar Coast Shelf Sci. 2008;80: 60–66.
- 37. Gong W, Zhang Z. Lipid biomarkers and organic matter carbon isotopes in estuarine sediments as proxies for evaluating seawater intrusion. Estuar Coast Shelf Sci. 2015;155: 38–46.
- 38. Bakshi M, Ghosh S, Chakraborty D, Hazra S, Chaudhuri P. Assessment of potentially toxic metal (PTM) pollution in mangrove habitats using biochemical markers: A case study on Avicennia officinalis L. in and around Sundarban, India. Mar Pollut Bull. 2018;133: 157–172. pmid:30041303
- 39. Habig WH, Pabst MJ, Jakoby WB. Glutathione S-transferases the first enzymatic step in mercapturic acid formation. J Biol Chem. 1974;249: 7130–7139. pmid:4436300
- 40. Keyster M, Klein A, Ludidi N. Caspase-like enzymatic activity and the ascorbate-glutathione cycle participate in salt stress tolerance of maize conferred by exogenously applied nitric oxide. Plant Signal Behav. 2012;7: 349–360. pmid:22476534
- 41. Almazroui M, Islam MN, Jones PD, Athar H, Rahman MA. Recent climate change in the Arabian Peninsula: seasonal rainfall and temperature climatology of Saudi Arabia for 1979–2009. Atmos Res. 2012;111: 29–45.
- 42. Saravanakumar A, Rajkumar M, Serebiah JS, Thivakaran GA. Seasonal variations in physico-chemical characteristics of water, sediment and soil texture in arid zone mangroves of Kachchh-Gujarat. J Environ Biol. 2008;29: 725–732. pmid:19295072
- 43. Vijayakumar S, Rajesh KM, Mendon MR, Hariharan V. Seasonal distribution and behaviour of nutrients with reference to tidal rhythm in the Mulki estuary, southwest coast of India. J Mar Biol Ass India. 2000;42: 21–31.
- 44. Suárez-Abelenda M, Ferreira TO, Camps-Arbestain M, Rivera-Monroy VH, Macías F, Nóbrega GN, et al. The effect of nutrient-rich effluents from shrimp farming on mangrove soil carbon storage and geochemistry under semi-arid climate conditions in northern Brazil. Geoderma. 2014;213: 551–559.
- 45. Anton A, Almahasheer H, Delgado A, Garcias-Bonet N, Carrillo-de-Albornoz P, Marbà N, et al. Stunted Mangrove Trees in the Oligotrophic Central Red Sea Relate to Nitrogen Limitation. Front Mar Sci. 2020;7: 597.
- 46. Naidu AS, Larsen LH, Mowatt TC, Sweeney MD, Weiss HV. Aspects of sizedistributions, clay mineralogy and geochemistry of sediments of the Beautor sea adjacent deltas, north arctic Alaska. US Dept Commerece, NOAA, OCSEAP Final Report Anchorage, Alaska. 1982;33: 315–429.
- 47. Bainbridge ZT, Wolanski E, Álvarez-Romero JG, Lewis SE, Brodie JE. Fine sediment and nutrient dynamics related to particle size and floc formation in a Burdekin River flood plume, Australia. Mar Pollut Bull. 2012;65: 236–248. pmid:22364951
- 48. Zhong Z, Chen Z, Xu Y, Ren C, Yang G, Han X, et al. Relationship between soil organic carbon stocks and clay content under different climatic conditions in Central China. Forests. 2018;9: 598.
- 49. Prasad MBK. Nutrient stoichiometry and eutrophication in Indian mangroves. Environ Earth Sci. 2012;67: 293–299.
- 50. Zaigham NA, Aburizaiza OS, Mahar GA, Nayyar ZA, Al-Amri N. Satellite remote sensing analyses for hydrogeological assessment of Rabigh drainage basin, Red Sea coast, Saudi Arabia. Int J Water Resourc Arid Env. 2017;6: 1–12.
- 51. Reef R, Feller I, Lovelock CE. Mammalian herbivores in Australia transport nutrients from terrestrial to marine ecosystems via mangroves. J Trop Ecol. 2014; 179–188.
- 52. Asaeda T, Barnuevo A. Oxidative stress as an indicator of niche-width preference of mangrove Rhizophora stylosa. For Ecol Manage. 2019;432: 73–82.
- 53. Wang Y, Zhu H, Tam NFY. Effect of a polybrominated diphenyl ether congener (BDE-47) on growth and antioxidative enzymes of two mangrove plant species, Kandelia obovata and Avicennia marina, in South China. Mar Pollut Bull. 2014;85: 376–384. pmid:24631399
- 54. Caregnato FF, Koller CE, MacFarlane GR, Moreira JCF. The glutathione antioxidant system as a biomarker suite for the assessment of heavy metal exposure and effect in the grey mangrove, Avicennia marina (Forsk.) Vierh. Mar Pollut Bull. 2008;56: 1119–1127. pmid:18455197
- 55. Aljahdali MO, Alhassan AB. Metallic pollution and the use of antioxidant enzymes as biomarkers in Bellamya unicolor (Olivier, 1804)(Gastropoda: Bellamyinae). Water. 2020;12: 202.
- 56. Radušienė J, Marksa M, Ivanauskas L, Jakštas V, Çalişkan Ö, Kurt D, et al. Effect of nitrogen on herb production, secondary metabolites and antioxidant activities of Hypericum pruinatum under nitrogen application. Ind Crops Prod. 2019;139: 111519.
- 57. Khan WR, Zulkifli SZ, Kasim MRBM, Pazi AM, Mostapa R, Nazre M. Mangrove Productivity Estimation using Modelling Approach and Tree Parameters Assessment. Trop Conserv Sci. 2019;12: 1940082919872137.
- 58. Dangremond EM, Feller IC. Functional traits and nutrient limitation in the rare mangrove Pelliciera rhizophorae. Aquat Bot. 2014;116: 1–7.
- 59.
Radabaugh KR, Dontis EE, Chappel AR, Russo CE, Moyer RP. Early indicators of stress in mangrove forests with altered hydrology in Tampa Bay, Florida, USA. Estuar Coast Shelf Sci. 2021; 107324.
- 60. Mattone C, Sheaves M. Patterns, drivers and implications of dissolved oxygen dynamics in tropical mangrove forests. Estuar Coast Shelf Sci. 2017;197: 205–213.
- 61. Takemura T, Hanagata N, Dubinsky Z, Karube I. Molecular characterization and response to salt stress of mRNAs encoding cytosolic Cu/Zn superoxide dismutase and catalase from Bruguiera gymnorrhiza. Trees. 2002;16: 94–99.
- 62. Chen Y, Ye Y. Effects of salinity and nutrient addition on mangrove Excoecaria agallocha. PLoS One. 2014;9: e93337. pmid:24691495
- 63. Vuleta A, Jovanović SM, Tucić B. How do plants cope with oxidative stress in nature? A study on the dwarf bearded iris (Iris pumila). Acta Physiol Plant. 2015;37: 1711.
- 64. Bita C, Gerats T. Plant tolerance to high temperature in a changing environment: scientific fundamentals and production of heat stress-tolerant crops. Front Plant Sci. 2013;4: 273. pmid:23914193
- 65. Khan WR, Nazre M, Zulkifli SZ, Kudus KA, Zimmer M, Roslan MK, et al. Reflection of stable isotopes and selected elements with the inundation gradient at the Matang Mangrove Forest Reserve (MMFR), Malaysia. Int For Rev. 2017;19: 1–10.
- 66. van Groenigen J-W, van Kessel C. Salinity‐induced patterns of natural abundance carbon‐13 and nitrogen‐15 in plant and soil. Soil Sci Soc Am J. 2002;66: 489–498.
- 67. He D, Rivera-Monroy VH, Jaffé R, Zhao X. Mangrove leaf species-specific isotopic signatures along a salinity and phosphorus soil fertility gradients in a subtropical estuary. Estuar Coast Shelf Sci. 2021;248: 106768.
- 68. Costanzo SD, Udy J, Longstaff B, Jones A. Using nitrogen stable isotope ratios (δ15N) of macroalgae to determine the effectiveness of sewage upgrades: changes in the extent of sewage plumes over four years in Moreton Bay, Australia. Mar Pollut Bull. 2005;51: 212–217. pmid:15757722
- 69. Zulkifli SZ, Mohamat-Yusuff F, Mukhtar A, Ismail A, Miyazaki N. Biomagnification of selected toxic trace elements (Cr, As, Cd, Pb) in a mangrove ecosystem: Insights from stable isotope analysis. Pollut Res. 2016;35: 211–219.