7.2
CiteScore
3.7
Impact Factor
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
ABUNDANCE ESTIMATION IN AN ARID ENVIRONMENT
Case Study
Correspondence
Corrigendum
Editorial
Full Length Article
Invited review
Letter to the Editor
Original Article
Retraction notice
REVIEW
Review Article
SHORT COMMUNICATION
Short review
7.2
CiteScore
3.7
Impact Factor
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
ABUNDANCE ESTIMATION IN AN ARID ENVIRONMENT
Case Study
Correspondence
Corrigendum
Editorial
Full Length Article
Invited review
Letter to the Editor
Original Article
Retraction notice
REVIEW
Review Article
SHORT COMMUNICATION
Short review
View/Download PDF

Translate this page into:

Original article
01 2022
:35;
102383
doi:
10.1016/j.jksus.2022.102383

Benthic foraminifera as bioindicators of anthropogenic pollution in the Red Sea Coast, Saudi Arabia

Geology and Geophysics Department, College of Science, King Saud University, Saudi Arabia
Geology Department, Faculty of Science, South Valley University, 83523 Qena, Egypt
Geology Department, Faculty of Science, Zagazig University, Egypt

⁎Corresponding author. mymohamed@ksu.edu.sa (Mohamed Youssef)

Disclaimer:
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.

Peer review under responsibility of King Saud University.

Abstract

The concentrations of Fe, Mn, Cu, Ni, Zn, Pb, Cr, Co, and Cd were measured in the tests of two foraminiferal species (Sorites orbibulus and Peneroplis planatus) using ICP-MS to assess the marine contamination. Iron was the most abundant metal (3294 μg/g), followed by Mn (133 μg/g), Cu (34.7 μg/g), Zn (28.3 μg/g), Cr (25 μg/g), Ni (18.9 μg/g), Pb (12.2 μg/g), Co (9.5 μg/g), and Cd (0.85 μg/g). The values enrichment factor, geo-accumulation index, and contamination factor show that the foraminiferal shells are enriched in (Cd, Cu, Pb) posing an ecological risk. Iron shows highest concentration amongst the heavy metals recorded in the study shells, however, shows low concentration in comparison with surrounding areas of Red Sea coast in Saudi Arabia and Egypt. Other heavy metals show higher concentrations than those recorded in Egypt and Saudi Arabia. The elevated heavy metal concentrations in the foraminiferal tests may be attributed to the industrial and urban activities along Yanbu coast.

Keywords

Heavy metals
Benthic foraminifera
Contamination
Red Sea
Saudi Arabia
1

1 Introduction

The heavy metal incorporation into foraminiferal tests is a good tool for environmental applications, and facilitates monitoring of anthropogenic footprints on the environmental systems (Schmidt et al., 2021). Many attempts used foraminiferal tests to assess the heavy metal contamination in polluted coastal environments (Frontalini and Coccioni, 2008; Frontalini, 2012; Al-Kahtany et al., 2015; Youssef, 2015; Price et al., 2019; AlKahtany et al., 2015; Al-Kahtanya et al., 2020; Sagar et al., 2021; Oron et al., 2021; Barik et al., 2022; Piwoni-Piórewicz et al., 2022). Large benthic foraminifera in the shallow shelf areas have algal symbionts (Hallock, 1999). Large benthic foraminifera are used also as bio-indicators of environmental conditions in many reef settings (Hallock et al., 2003; Gebhardt et al., 2013; Sagar et al., 2021).

The coastal area rapidly changed with the transformation of Saudi Arabia into modern industrial country (Badr et al., 2009). Many studies use sediments and water samples to analyze and monitor the ecosystem of the Red Sea coast's coastal zones (e.g. El-Sorogy et al., 2020; Youssef and El-Sorogy, 2016; Kahal et al., 2020; Youssef et al., 2020; El Zokm et al., 2020).

Few studies have examined the Red Sea's environmental contamination in Saudi Arabia using geochemical analysis of benthic foraminiferal tests for heavy metal levels (e.g. Youssef, 2015; Youssef et al., 2021). The aim of this study is to use the foraminiferal shell as bioindicators for the natural and anthropogenic inputs affect coastal areas along the Red Sea coast in Yanbu.

2

2 Materials and methods

The study area lies along the Yanbu coastline, Saudi Arabia, between 23° 40́ 33́́ N – 38° 29′ 11″ E and 24° 15′ 52″ N – 37° 43′ 03″ E (Fig. 1). The samples were collected from the subtidal zone of the Yanbu coastline (Fig. 1). The grain size analysis shows that the main component of the most samples are silt and sand (El-Sorogy et al., 2021).

Location map for the Study Area and Sampling Stations (El-Sorogy et al., 2021).
Fig. 1
Location map for the Study Area and Sampling Stations (El-Sorogy et al., 2021).

Rose Bengal solution (5 g of Rose Bengal in 1 L of ethanol) is used to stain the samples in the field. The standard preparation technique of foraminifera is used; sediment was stored for 15 days before washing with tap water over a 0.625-mm mesh to remove fine silt and clay. The residues were examined under stereo zoom microscope after drying; the selected foraminiferal species were picked. The taxonomic classification of Hottinger et al. (1993) was used in the identification.

We picked the living tests of S. orbiculus, P. planatus from 14 samples as follows (1, 3, 4, 5, 7, 8, 13, 14, 15, 17, 18, 19, 20, and 30). We picked ≤0.2 g of each studied species and analyzed them for Iron, manganese, copper, zinc, chromium, nickel, lead, cobalt, and cadmium. The samples were analyzed with ICP-MS (Inuctive Coupled Plasma-Mass Spectrometer, Thermo Fisher scientific, Instrument) in central laboratory college of science (CLCS) King Saud University, Riyadh, KSA. Each sample was analyzed in three replicates. Digestions of samples were performed on Topwave Analytik Jena microwave digestion system using ultra-pure Nitric acid (HNO3, 63 %), Hydrogen Fluoride (40 %) and Hydrochloric acid (HCl, 36 %). About 0.1 gm sample was put into the DAP 60 digestion vessels of 60 ml capacity. Add 6 ml Hydrochloric acid, 2 ml nitric acid and 2 ml Hydrochloric acid then shake the mixture carefully. A blank without the sample was also carried out through the complete procedure. Univariate statistical analyses were conducted using SPSS (ver. 23, IBM Corp., Armonk, NY, USA). Correlation coefficient analysis was used to create a correlation matrix between metal concentrations. Univariate statistical analyses were conducted using hierarchical clustering between groups (Ward’s method) to determine Euclidean distances. Principal component analysis (PCA) was applied to identify possible the sources of the metals in the studied sediments.

3

3 Results

The most abundant heavy-metal (Table 1 and Figs. 2, 3) was Fe (3294 μg/g), Mn (133 μg/g), followed by Cu (34.7 μg/g), Zn (28.3 μg/g), Cr (25 μg/g), Ni (18.9 μg/g), Pb (12.2 μg/g), Co (9.51 μg/g), and Cd (0.85 μg/g). The HM concentrations in sediments of the studied samples show the same trend (El-Sorogy et al., 2021).

Table 1 Concentrations of heavy metals in the living foraminifera tests of the sediment samples investigated.
S. No Species Lat. Long. Fe Mn Cu Zn Cr Ni Pb Co Cd
Y-1 S. orbiculus 24° 15′ 52″ 37° 43′ 03″ 3000 150 34.8 30.8 21 18 11.9 9.8 1.1
P. planatus 3010 165 35.2 31.1 21.6 17.6 11.3 10.2 1
Y-3 S. orbiculus 24° 14′ 31″ 37° 45′ 41″ 3205 165 37.2 29.5 23.9 17.6 11.5 10 1
P. planatus 3003 170 36.8 31 24.1 17 12.5 10.2 0.9
Y-4 S. orbiculus 24° 12′ 58″ 37° 46′ 31″ 3817 195 45.5 37.2 37.2 20.8 9.2 11.4 0.9
P. planatus 3750 193 44.8 36.8 35.5 20.6 9.8 12 0.7
Y-5 S. orbiculus 24° 11′ 36″ 37° 48′ 34″ 2080 105 32.8 23.6 26.6 21.3 13 7.2 0.7
P. planatus 2003 104 31.3 24 25.2 20.1 12.9 8 1.2
Y-7 S. orbiculus 24° 09′ 12″ 37° 52′ 48″ 2550 109 32.3 21.4 26.3 19.5 14.1 7.9 0.9
P. planatus 1483 107 34.8 20.8 25.5 20.1 13.8 8 0.5
Y-8 S. orbiculus 24° 08′ 50″ 37° 55′ 31″ 3995 129 37.3 33.6 21.1 21 13.2 11.2 0.6
P. planatus 4013 127 36.8 32.4 20.8 20.2 12.8 11 0.6
Y-13 S. orbiculus 24° 12′ 01″ 37° 57′ 15″ 4150 125 33.9 31.9 25.3 18 12.1 9.9 0.9
P. planatus 4061 127 32 33 24.5 18.8 11.8 10.2 0.8
Y-14 S. orbiculus 24° 10′ 39″ 37° 56′ 01″ 3497 131 35.8 31.2 25.8 18.2 12.4 8.6 0.6
P. planatus 3605 135 36.3 31 26.2 18 12 8.3 0.9
Y-15 S. orbiculus 24° 09′ 42″ 37° 57′ 14″ 2807 135 33 31.2 22.8 16.7 13.2 9.4 0.8
P. planatus 4101 137 31.7 29.8 23 16.5 13 9 0.7
Y-17 S. orbiculus 24° 04′ 24″ 38° 02′ 10″ 4001 133 36.4 29.2 24.5 17.6 11.8 9.6 0.8
P. planatus 3975 131 36 28.8 24 17.4 11.5 9.2 0.6
Y-18 S. orbiculus 24° 04′ 23″ 38° 03′ 06″ 3550 111 34 24.2 29 20.2 11.6 11.6 0.9
P. planatus 3597 109 33.4 22.9 30.1 20 10.2 11.2 1
Y-19 S. orbiculus 24° 04′ 01″ 38° 04′ 48″ 2805 110 32 31 23 17.5 11.8 9 1.3
P. planatus 3580 108 29 20.9 21.2 18.5 12 8.5 1
Y-20 S. orbiculus 24° 03′ 17″ 38° 05′ 47″ 3970 135 28.7 24 25.3 16.5 11.7 10 1.2
P. planatus 4000 131 33.7 25 21.1 21 13 7.8 0.8
Y-30 S. orbiculus 23° 40′ 33″ 38° 29′ 11″ 2560 125 31.5 21.3 24.2 19.6 14.1 8 0.7
P. planatus 2075 127 33.3 24 20.7 21.3 13 9.2 0.6
Average 3294 133 34.7 28.3 25 18.9 12.2 9.51 0.85
Maximum 4150 195 45.5 37.2 37.2 21.3 14.1 12 1.3
Minimum 1483 104 28.7 20.8 20.7 16.5 9.2 7.2 0.5
Heavy-metal concentrations of foraminiferal tests of the study coastal area; Fe, Mn, Cu, and Zn.
Fig. 2
Heavy-metal concentrations of foraminiferal tests of the study coastal area; Fe, Mn, Cu, and Zn.
Heavy-metal concentrations of foraminiferal tests of the study coastal area; Cr, Ni, Pb, Co, and Cd.
Fig. 3
Heavy-metal concentrations of foraminiferal tests of the study coastal area; Cr, Ni, Pb, Co, and Cd.

The average concentration of Fe (Table 1; Fig. 2) was lower than the average value recorded in the shells of S. orbiculus, P. planatus from Sharma (Youssef et al., 2021), also lower than the average values recorded in Jeddah (Youssef, 2015), While the recorded values higher than those reported at Egyptian Red Sea coast (e.g. Youssef et al., 2017). S. orbiculus shows the highest concentration of Mn (195 μg/g), where P. planatus shows the lowest value (104 μg/g) in samples 4 and 5 respectively (Table 1; Fig. 2). Mn shows higher concentration than was recorded in Jeddah and Egyptian Coast (e.g. Madkour and Ali, 2009; Youssef, 2015). El-Sorogy et al. (2021) reported 192 μg/g of Mn in the sediments, may be due to terrestrial influx by wadies and aeolian deposition (Bantan et al., 2020), or human activities. The Cu bioaccumulation in foraminifera record average value 34.7 μg/g, where the highest value (45.5 μg/g) was recorded in in sample 4 and the lowest value (28.7 μg/g) was recorded in in S. orbiculus sample 20 (Table 1; Fig. 2). The comparison between our average Cu levels and those in other sites was shown in Table 3), where it is higher than south Saudi coast (Youssef, 2015) and lower than northern Saudi coast and Egyptian coast (e.g. Mansour et al., 2005; Youssef et al., 2021). The average concentration of Zn in foraminiferal tests in Yanbu Coast is 28.3 μg/g. The highest value (37.2 μg/g) was recorded in S. orbiculus in sample 4 where the lowest value (20.8 μg/g) was reported in P. planatus in sample 7 (Table 1; Fig. 2). Sediments show 80.4 μg/g average concentration of Zn (El-Sorogy, et al., 2021). Zinc remains in the marine environment for long time after precipitate with calcium carbonate (Rothenstein et al., 2012).

Cr concentration record highest value in S. orbiculus (37.2 μg/g) of sample 4, while the lowest (20.7 μg/g) was in P. planatus in sample 30 (Table 1; Fig. 3). The comparison of the average concentration of Cr with the different areas along Red Sea coast (e.g. Youssef, 2015; Youssef et al., 2021) indicate low average value, while it nearly around the background concentration in uncontaminated sediment (Oana, 2006). The average concentration of Ni in the shells is 18.9 μg/g and the values range from 16.5 μg/g to 21.3 μg/g in S. orbiculus in samples 20 and 5 respectively (Table 1; Fig. 3). High average value of Ni was recorded comparing to that recorded on the Egyptian and Saudi coast (Table 2). The average value of Ni concentrations in sediments was 23.5 μg/g (El-Sorogy et al., 2021). Anthropogenic and industrial discharge may be the possible sources for Ni, however De Carlo and Spencer (1995) suggest little importance for anthropogenic contribution for Ni to sediment. The concentration of Pb ranges from 9.2 μg/g in S. orbiculus of sample 4 to 14.1 μg/g in sample 30 (Table 1; Fig. 3). In comparison with the Pb concentration with other areas, it is significantly lower than the reported values from Egyptian coast, and higher than those recorded from Jeddah (Table 2). Industrial origin of lead is the probable source (Abu-Zied et al., 2013; Youssef, 2015). The lowest value of Co (7.2 μg/g) was recorded in S. orbiculus of sample 5, the highest value (12 μg/g) was recorded in P. planatus in sample 4 (Table 1; Fig. 3). The concentration of Cd was relatively low. The lowest value (0.5 μg/g) is recorded in P. planatus in samples 7, while the highest value (1.3 μg/g) is recorded in S. orbiculus of sample 19 (Table 1; Fig. 3). The average concentration of Cd is 0.85 μg/g. In comparison with the surrounding areas low average value was reported (Table 2). Cd concentration shows 0.89 μg/g average value in sediments samples.

Table 2 The Yanbu coast's mean heavy-metal concentrations were compared to those in other nearby regions using foraminiferal shells.
Location Fe Mn Cu Ni Zn Pb Cr Co Cd References
Yanbu, Red Sea 3294 133 34.7 28.3 25 18.9 12.2 9.51 0.85 Present study
Sharma-Maqnah, Red Sea 3367 142 30.4 13.9 24.1 6.95 20.9 4.6 0.8 Youssef el al., 2021
Red Sea Coast, Egypt 901.2 5.4 19.9 13.8 9.4 8.6 2.5 0.3 El-Kahawy et al., 2020
Red Sea Coast, Egypt 2098 124.1 7.3 11.5 11.1 6.7 2.6 0.7 Youssef et al., 2017
South Jeddah, Saudi Arabia 7182 27.6 8.7 23.3 14.9 22.9 38.5 0.09 Youssef, 2015
Salman Bay, Saudi Arabia 7698 14.3 8.2 24.2 13.3 10.8 36.24 0.1
Coastal lagoons, Red Sea, Egypt 1115.3 35.02 17.5 28.2 18.2 23.9 1.5 Madkour and Ali, 2009
Red Sea coast, Egypt 760 43.3 46.9 33.9 22 28.5 1.6 Mansour et al., 2005

4

4 Discussion

The shells exhibit enrichment in certain elements with ecological risk values for EF, Igeo, and CF (Table 3). For the calculation of different indicators please see supplementary table. Cd record the highest average value of EF (>10), indicating possible source of pollutants from urban, industrial activities and tourism projects in the coast. The average values for Cu and Pb were >5; and for Zn, Cr, and Co they were >2, indicating natural origins. Cd had the highest degree of enrichment (EF = 44 and 41 in S.orbiculus and P. planatus respectively. The lowest reported value of EF is for Mn < 2 indicate no enrichment to minor enrichment (Youssef et al., 2020). The average CF value for Cd indicated a moderate contamination (CF = 2.95 and 2.69 at S. orbiculus and P. planatus, respectively). The average CF value for the rest of the heavy metals indicated low contamination factor. The average Igeo value of Cd (Igeo = 1.34 and 1.25 in S. orbiculus and P. planatus respectively) indicated that the shells were moderately polluted, where are unpolluted for the rest of heavy metals. Q mode HCA subdivided the studied heavy metals into two different clusters (Fig. 4). The first cluster contains Fe, while the second cluster includes the rest of the recorded heavy metals. The Pearson's correlation shows high positive correlations between certain element pairs, for example: Fe-Zn (r = 512), Fe-Co (r = 0.523), Mn-Cu (r = 0.763), Mn-Zn (r = 0.706), and Mn-Co (r = 0.533). Cu-Zn (r = 0.696), Cu-Cr (r = 0. 036), and Cu-Co (r = 0.554). Zn-Co (r = 0.584). In contrast, there are negative correlations between Fe-Pb and Ni (r =  − 0.466, −0.248), Pb-Cr, Co (−0.637, −0.674). See (Table 4) for detailed correlations between the studied heavy metals. The correlations of Zn and Co with Fe suggest that those metals were strongly associated with the Fe oxy-hydroxides phase, and they have a common source (Reitermajer et al., 2011). The positive correlation of Cu, Zn, and Co with Mn is a good proxy for terrigenous material (El-Sorogy et al., 2021). The extraction method of the principal component analysis (PCA) subdivided the variables into three components, accounting 45.37 %, 18.81 %, and 13.29 % of the total variance, respectively (Table 5). The first component presents significant positive loading for Fe, Mn, Cu, Zn, Cr, and Co (0.562, 0.823, 0.846, 0.808, 0.624, 0.803, respectively). The second component presents positive loading for Ni (0.855). The third component presents high positive loading for Cr and Cd (0.530 and 0.664). The moderately severe enriched HMs (Fe, Mn, Cu, Cr, and Co) with positive loading in the first component may have significant anthropogenic origins connected to urbanization, industrial, and agricultural activities (El-Sorogy et al., 2021). Agricultural activities marked by Cd content (Kelepertzis, 2014; Kahal et al., 2020). A varimax method with Kaiser Normalization was used to explain these components. Corresponding to the results from the PCA the HMs in the component plot was distributed into three groups, (Fig. 5).

Table 3 Minimum, maximum, and average values of single element pollution indices for the investigated HMs; EF, Igeo, CF.
Metals Species EF Igeo CF
Min Max Aver Min Max Aver Min Max Aver
Fe S. marginalis −5.09 −4.09 −4.46 0.04 0.09 0.07
P. planatus −5.58 −4.11 −4.48 0.03 0.09 0.07
Mn S. marginalis 1.67 2.86 2.30 −3.60 −2.71 −3.28 0.12 0.23 0.16
P. planatus 1.68 4.01 2.41 −3.62 −2.72 −3.28 0.12 0.23 0.16
Cu S. marginalis 7.58 16.54 11.44 −1.23 −0.57 −0.97 0.64 1.01 0.77
P. planatus 8.11 24.61 12.04 −1.22 −0.59 −0.97 0.64 1.00 0.77
Zn S. marginalis 3.00 5.64 4.42 −0.87 −0.32 −0.59 0.22 0.39 0.30
P. planatus 2.90 6.97 4.46 −0.90 −0.33 −0.62 0.22 0.39 0.29
Cr S. marginalis 2.77 6.71 4.21 −0.89 −0.32 −0.71 0.23 0.41 0.28
P. planatus 2.72 9.02 4.27 −0.90 −0.36 −0.74 0.23 0.39 0.27
Ni S. marginalis 2.88 7.11 4.15 −1.13 −0.87 −1.00 0.24 0.31 0.28
P. planatus 2.79 9.41 4.46 −1.13 −0.87 −0.99 0.24 0.31 0.28
Pb S. marginalis 5.69 14.75 9.29 −0.49 −0.06 −0.21 0.46 0.71 0.61
P. planatus 6.17 21.96 9.69 −0.43 −0.08 −0.22 0.49 0.69 0.61
Co S. marginalis 5.93 8.60 7.35 −1.98 −1.30 −1.59 0.38 0.61 0.50
P. planatus 4.84 13.40 7.69 −1.87 −1.25 −1.60 0.41 0.63 0.50
Cd S. marginalis 23.63 72.92 44.06 0.98 1.75 1.34 2.00 4.33 2.95
P. planatus 23.52 94.26 41.80 0.80 1.67 1.25 1.67 4.00 2.69
Dendrogram of 9 metals in bottom sediment samples taken from the North Red Sea coast using hierarchal cluster analysis.
Fig. 4
Dendrogram of 9 metals in bottom sediment samples taken from the North Red Sea coast using hierarchal cluster analysis.
Table 4 Correlation coefficients (r) of heavy metals of marine sediment samples from Yanbu area; A) in whole samples, B) in S. marginalis, in C) P. planatus.
Fe Mn Cu Ni Zn Pb Cr Co Cd
Fe 1
Mn 0.307 1
Cu 0.231 0.763** 1
Ni −0.248 −0.150 0.274 1
Zn 0.512** 0.706** 0.696** −0.186 1
Pb −0.466* −0.575** −0.564** 0.042 −0.502** 1
Cr 0.103 0.392* 0.603** 0.288 0.237 −0.637** 1
Co 0.523** 0.533** 0.554** 0.042 0.584** −0.674** 0.391* 1
Cd −0.012 −0.005 −0.293 −0.359 −0.061 −0.320 0.028 0.044 1
Table 5 Extraction method: Principal component analysis; highly positive loadings are in bold.
Component
1 2 3
Fe 0.562 −0.398 −0.323
Mn 0.823 −0.040 −0.134
Cu 0.846 0.415 −0.102
Ni −0.001 0.855 0.201
Zn 0.808 −0.148 −0.372
Pb −0.830 0.167 −0.403
Cr 0.624 0.362 0.530
Co 0.803 −0.073 0.014
Cd 0.004 −0.665 0.664
% of Variance 45.371 18.810 13.287
Cumulative % 45.371 64.181 77.468

Extraction Method: Principal Component Analysis.

a. 3 components extracted.

Three component plots using the varimax method with Kaiser Normalization.
Fig. 5
Three component plots using the varimax method with Kaiser Normalization.

5

5 Conclusion

The concentrations of heavy metals (HM) Fe, Mn, Cu, Ni, Zn, Pb, Cr, Co, and Cd were measured in the two most common species of benthic foraminifera S. orbibulus and P. planatus. The analyses of HMs in the shells of S. orbiculus and P. planatus of 14 surface coastal sediments from Yanbu coastline, Saudi Arabia indicated the following concentrations of heavy metals: Fe (3294) > Mn (133) > Cu (34.7) > Zn (28.3) > Cr (25) > Ni (18.9) > Pb (12.2) > Co (9.51) > Cd (0.85). Among the heavy metals detected in the study area, the foraminiferal tests reveal the highest concentration of Iron. The concentrations of heavy metals in Yanbu are higher than in other regions along the Red Sea coast in Saudi Arabia and Egypt. The HM concentrations along the Yanbu Coast could be attributable to natural sources or anthropogenic resources from industrial and urban activities.

Acknowledgement

This project was funded by the National Plan for Science, Technology and Innovation (MAARIFAH), King Abdulaziz City for Science and Technology, Kingdom of Saudi Arabia, Award Number (14-ENV138-02).

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

References

  1. , , , . Effect of municipal wastewaters on bottom sediment geochemistry and benthic foraminifera of two Red Sea coastal inlets, Jeddah, Saudi Arabia. Environ. Earth Sci.. 2013;68(2):451-469.
    [Google Scholar]
  2. , , , . Geochemical and foraminiferal analyses of the bottom sediments of Dammam coast, Arabian Gulf, Saudi Arabia. Arab. J. Geosci.. 2015;8(12):11121-11133.
    [Google Scholar]
  3. , , , . Geochemical and foraminiferal analyses of the bottom sediments of Dammam coast, Arabian Gulf, Saudi Arabia. Arab. J. Geosci.. 2015;8(12):11121-11133.
    [Google Scholar]
  4. , , , , . Benthic foraminifera as bioindicators of environmental quality of Dammam Al-Jubail area, Arabian Gulf, Saudi Arabia. Arab. J. Geosci.. 2020;13:427.
    [Google Scholar]
  5. , , , , . Metal pollution records in core sediments of some Red Sea coastal areas, Kingdom of Saudi Arabia. Environ. Mon. Ass.. 2009;155:509-526.
    [Google Scholar]
  6. , , , . Geo-environmental assessment of heavy metals in the bottom sediments of the Southern Corniche of Jeddah, Saudi Arabia. Marine Pollut. Bull.. 2020;161:111721
    [Google Scholar]
  7. , , , , . Pintu PrustyBioavailability of metals in coastal lagoon sediments and their influence on benthic foraminifera. Sci. Total Environ.. 2022;825(2022):153986
    [Google Scholar]
  8. , , . Records of lead and other heavy metal inputs to sediments of the Ala Wai Canal, O’ ahu. Hawai’I Pac Sci Univ Hawaii Press. 1995;49:471-491.
    [Google Scholar]
  9. , , , , , . Benthic ostracods (crustacean) as a nearshore pollution bio-monitor: examples from the Red Sea Coast of Egypt. Environ. Sci. Poll. Res. 2020
    [CrossRef] [Google Scholar]
  10. , , , . Ecological risk indices for heavy metal pollution assessment in marine sediments of Jeddah Coast in the Red Sea. Int. J. Environ. Anal. Chem. 2020
    [CrossRef] [Google Scholar]
  11. , , , , . Distribution, source, contamination, and ecological risk status of heavy metals in the Red Sea-Gulf of Aqaba coastal sediments, Saudi Arabia. Mar. Pollut. Bull.. 2020;158:111411
    [Google Scholar]
  12. , , , . Evaluation of coastal sediments for heavy metal contamination, Yanbu area, Red Sea coast, Saudi Arabia. Marine Pollut. Bull.. 2021;163
    [Google Scholar]
  13. , . The response of benthic foraminiferal assemblages to copper exposure: a pilot mesocosm investigation. J. Environ. Prot.. 2012;3:342-352.
    [Google Scholar]
  14. , , . Benthic foraminifera for heavy metal pollution monitoring: a case study from the central Adriatic Sea coast of Italy. Estuar. Coast. Shelf Sci.. 2008;76(2):404-427.
    [Google Scholar]
  15. , , , , , , , , . Middle to Late Eocene paleoenvironmenal changes in a marine transgressive sequence from the northern Tethyan margin (Adelholzen Germany) Austr. J. Earth Sci.. 2013;106(2):45-72.
    [Google Scholar]
  16. , , , , . Foraminifera as bioindicators in coral reef assessment and monitoring: the FORAM index. Environ. Monit. Assess.. 2003;81:221-238.
    [CrossRef] [Google Scholar]
  17. Hallock, P. 1999. In Modern Foraminifera (ed. Sen Gupta, B. K.), 123-149. Kluwer Academic Publishers.
  18. , , , . Recent Foraminiferida from the Gulf of Aqaba, Red Sea. Dela SAZU, Ljubljana. 1993;33:1-179.
    [Google Scholar]
  19. , , , , , , . Contamination and ecological risk assessment of the Red Sea coastal sediments, southwest Saudi Arabia. Mar. Pollut. Bull.. 2020;154:111125
    [Google Scholar]
  20. , . Accumulation of Heavy Metals in Agricultural Soils of Mediterranean: insights from Argolida Basin, Peloponnese, Greece. Geoderma. 2014;221–222:82-90.
    [CrossRef] [Google Scholar]
  21. , , . Heavy metals in the benthic foraminifera from the coastal lagoons, Red Sea, Egypt: indicators of anthropogenic impact on environment (case study) Environ. Geol.. 2009;58:543-553.
    [Google Scholar]
  22. , , , . Metals concentration of recent invertebrates along the Red Sea Coast of Egypt: a tool for monitoring environmental hazards. Sedimentology Egypt. 2005;13:171-185.
    [Google Scholar]
  23. , . Chromium impact on marine ecosystem. Bull. Univ. Agric. Sci. Vet. Med. Cluj-Napoca. 2006;63:379-384.
    [Google Scholar]
  24. , , , , . Benthic foraminifera geochemistry as a monitoring tool for heavy metal and phosphorus pollution- A post fish-farm removal case study. Mar. Pollut. Bull.. 2021;168:112443.
    [Google Scholar]
  25. , , , , , . Mineralogical and geochemical composition of CaCO3 skeletons secreted by benthic invertebrates from the brackish Baltic Sea. Estuar. Coast. Shelf Sci.. 2022;268:107808.
    [Google Scholar]
  26. , , , . Effects of heavy-metal contaminants (Cd, Pb, Zn) on benthic foraminiferal assemblages grown from propagules, Sapelo Island, Georgia (USA) Marine Micropaleontol.. 2019;147:1-11.
    [CrossRef] [Google Scholar]
  27. , , , . Heavy metal distribution in the sediment profiles of the Sauípe River Estuary, north seashore of the Bahia State, Brazil. Microchem. J.. 2011;99(2):400-405.
    [Google Scholar]
  28. Rothenstein, D., Baier, J., Schreiber, T., Barucha, V., Bill, J. 2012. Influence of zinc on the calcium carbonate biomineralization of Halomonas halophile Rothenstein, et al. Aquat Biosyst 8:31.
  29. , , , , , , , . Geochemistry of large benthic foraminifera Amphisorus hemprichii as a high-resolution proxy for lead pollution in coastal environments. Mar. Pollut. Bull.. 2021;162:111918
    [Google Scholar]
  30. , , , , . Heavy metal uptake of near-shore benthic foraminifera during multi-metal culturing experiments. Biogeoscinces discussions 2021
    [CrossRef] [Google Scholar]
  31. Youssef, M. 2015. Heavy metals contamination and distribution of benthic foraminifera from the Red Sea coastal area, Jeddah, Saudi Arabia. Oceanologia 57 (3), 236–250.
  32. , , . Environmental assessment of heavy metal contamination in bottom sediments of Al-Kharrar lagoon, Rabigh, Red Sea, Saudi Arabia. Arab. J. Geosci.. 2016;9:474.
    [Google Scholar]
  33. , , , , , . Invertebrate shells (Mollusca, Foraminifera) as pollution indicators, Red Sea coast Egypt. Journal of African earth sciences. 2017
    [Google Scholar]
  34. , , , , , . Distribution and metal contamination in core sediments from the North Al-Wajh area, Red Sea, Saudi Arabia. Marine Pollut. Bull.. 2020;152:110924
    [Google Scholar]
  35. , , , , . Benthic foraminifera as bio-indicators of coastal marine environmental contamination in the Red Sea-Gulf of Aqaba, Saudi Arabia. Bull. Environ. Contam. Toxicol.. 2021;106(6):1033-1043.
    [Google Scholar]

Appendix A

Supplementary data

Supplementary data to this article can be found online at https://doi.org/10.1016/j.jksus.2022.102383.

Appendix A

Supplementary data

The following are the Supplementary data to this article:

Supplementary data 1

Show Sections