收藏切换
Seasonal variations and distributions of dissolved free and total carbohydrates at the İzmir Bay, Aegean Sea
收藏切换
PDF
Hakan ALYURUK1, 2, Aynur KONTAS2, *
Acta Oceanologica Sinica | 2018, 37(8) : 6 - 14
Less
收藏切换
Acta Oceanologica Sinica | 2018, 37(8): 6-14
Marine Chemistry
Seasonal variations and distributions of dissolved free and total carbohydrates at the İzmir Bay, Aegean Sea
Full
Hakan ALYURUK1, 2, Aynur KONTAS2, *
Affiliations
  • 1 Graduate School of Natural and Applied Sciences, Dokuz Eylül University, Tinaztepe Campus, İzmir 35390, Turkey
  • 2 Institute of Marine Sciences and Technology, Dokuz Eylül University, İnciraltı, İzmir 35340, Turkey
Published: 2018-08-25 doi: 10.1007/s13131-018-1229-x
Outline
收藏切换

Seasonal variations and distributions of dissolved carbohydrate concentrations at the İzmir Bay were investigated with salinity, chlorophyll a (Chl a), and dissolved organic carbon (DOC) levels to understand their relationships. Samples were collected from surface, subsurface and bottom depths at seven stations. DOC concentrations ranged from 32.2 to 244.2 μmol/L, and in general, DOC levels increased from winter to summer, then slightly decreased in autumn. Monosaccharide (MCHO), polysaccharide (PCHO) and total dissolved carbohydrate (TDCHO) levels were found between 0.7–8.3, 0.7–19.5, and 2.6–24.6 μmol/L. DOC, MCHO, PCHO and TDCHO levels were found higher in middle-inner bays, under the influence of anthropogenic inputs, compared to outer bay. Seasonal changes of MCHO/DOC, PCHO/DOC and TDCHO/DOC ratios were statistically significant (p<0.05) and the ratios showed decrease trends from winter to summer-autumn seasons. Distributions of TDCHO/DOC ratios at wide ranges (2.5%–42.3%) indicated the presence of newly forming and degrading fractions of DOM. According to results of factor analysis, Chl a, MCHO and TDCHO were explained in the same factor groups. In conclusion, the results showed that dissolved carbohydrate levels in the İzmir Bay might be influenced by biological processes and terrestrial/anthropogenic inputs.

monosaccharides  /  polysaccharides  /  carbohydrates  /  DOC  /  Chl a  /  İzmir Bay
Hakan ALYURUK, Aynur KONTAS. Seasonal variations and distributions of dissolved free and total carbohydrates at the İzmir Bay, Aegean Sea[J]. Acta Oceanologica Sinica, 2018 , 37 (8) : 6 -14 . DOI: 10.1007/s13131-018-1229-x
Dissolved organic matter (DOM) is one of the most important components in seawater and it is under constant circulation and conversion within the marine environment. DOM could be originated from terrestrial processes (called as allochthonous) or in situ marine (called as autochthonous) sources (Hedges, 2002; Libes, 2009). Terrestrial organic matter including degradation products of plants and other organisms could be transported to the marine environments by rivers, rain runoffs or winds. On the other hand, a great amount of DOM in marine environments is produced in situ by primary producers like phytoplankton, macroalgae and bacteria found in seawater. Chemical and physical characterization of DOM pool is difficult since it includes vast amounts of biomolecules at different chemical structures and molecular sizes. Among these biomolecules, most abundant ones found in DOM are amino acids, carbohydrates, lipids, fatty acids, sterols, humic acids, fulvic acids, and lignins. Carbohydrates are one of the major groups that are commonly utilized by the microorganisms (Rich et al., 1997; Kirchman et al., 2001; Khodse et al., 2010). They are also the products of photosynthesis process that takes place within phytoplankton and marine algae. Qualitative and quantitative studies have been performed for understanding the biogeochemical cycling of dissolved carbohydrates including its molecular and polymeric forms. Dissolved carbohydrates could be divided into groups as monosaccharides (MCHO) and polysaccharides (PCHO) or neutral and acidic sugars based on their chemical structures (Hedges et al., 1994; Myklestad et al., 1997; Benner and Opsahl, 2001; Chanudet and Filella, 2006; Lin and Guo, 2015). Glucose, fucose, galactose, mannose, and xylose are reported as dominant monosaccharides in DOM from different regions (McCarthy et al., 1996; Borch and Kirchman, 1997). Polysaccharides, such as starch and cellulose, are polymeric forms of monosaccharides linked to each other with glycosidic bonds. Total dissolved carbohydrates (TDCHO) are one of the well identified components of DOM that constitutes up to 3%–30% of bulk DOM (Pakulski and Benner, 1994; Benner, 2002; Hung et al., 2003; Wang et al., 2006). This fraction contains mono-, oligo- and polysaccharides, the latter one is used as storage material, cell wall components and extracellular exudates (Myklestad and Børsheim, 2007; He et al., 2015). Polysaccharides have been studied extensively due to their tendency for aggregation and colloidal properties. It has been reported that they were responsible from biofilm production, mucilage events (Baldi et al., 1997; Leppard, 1997; Pettine et al., 1999; Penna et al., 2003, 2009), complexation with trace metals (Jang et al., 1990, 1995), and marine snow formation (Alldredge et al., 1993; Passow et al., 1994; Skoog et al., 2008; He et al., 2015).
In the water column, carbohydrate concentrations are changed both vertically and horizontally based on their production and uptake rates by the organisms, and they are also influenced by terrestrial inputs (Zhang, 2010; He et al., 2015). In estuaries, gulfs and bays, carbohydrate concentrations were reported at high levels, whereas, they were observed at intermediate and low levels in coastal waters and in oligotrophic ocean waters, respectively (Handa, 1966, 1967; Pakulski and Benner, 1994; Amon and Benner, 2003; Hung et al., 2003; Wang et al., 2006; Khodse et al., 2010; Yang et al., 2010; He et al., 2015).
The study area in this study, the İzmir Bay, is located at the western coast of Anatolia. Its structure is L-shape which is oriented to north with its longer part and connected to the Aegean Sea. According to Sayin (2003), the hydrography of the İzmir Bay is influenced by several factors such as freshwater inputs that carry anthropogenic loads to the bay, atmospheric transport of low molecular weight molecules, exchange of water between the Aegean Sea and the bay, topography of the bay, the sea level changes, movement of waters directed by wind-driven circulation and winter convection. Under the influences of these factors, the İzmir Bay could be divided into three parts as outer, middle and inner bays since each part have different water mass characteristics. While inner bay water has been anthropogenically polluted, outer bay water is influenced by the Gediz River and Aegean Sea, the upwelling water at the Gülbahçe Bay, and the water mass located at salt production area (Sayin, 2003). The third water mass at middle bay connects outer bay to inner bay. Due to the different physical and chemical characteristics of the water masses, remarkable differences have been reported for dissolved organic carbon (DOC), chlorophyll a (Chl a), dissolved inorganic nitrogen (DIN), and dissolved inorganic phosphorus (DIP) levels at outer, middle and inner bay stations in the previous studies (Kontas et al., 2004; Kucuksezgin et al., 2005; Sunlu et al., 2012). Also, eutrophication has been reported for inner part of the Izmir Bay (Kontas et al., 2004). On the other hand, outer bay has oligotrophic character. Studies on the fractions of DOM in the İzmir Bay are very limited and this will be the first study on the dissolved carbohydrates (MCHO, PCHO and TDCHO). The aim of this study was to investigate seasonal variations and distributions of dissolved carbohydrates in the bay and their relationships with salinity, Chl a and DOC levels.
Seawater samples were collected from seven stations located in the İzmir Bay (Fig. 1). Sampling stations were selected according to physical and chemical properties of water masses in the bay, shortly explained at the introduction, based on the previous studies (Sayin, 2003; Kontas et al., 2004; Kucuksezgin et al., 2005). Samples were collected from surface (0–0.5 m), subsurface (5 m) and bottom depths. Water depths at sampling stations from 1 to 7 were as follows: 9, 22, 52, 36, 27, 66, and 44 m, respectively. The samplings were performed by seasonal cruises (February, April, September and December 2015) with the R/V K. Piri Reis. Seawater samples were collected with 10 L Go Flo Rosette bottles (General Oceanic) and a CTD system (SBE911plus, Sea-Bird). DOC and carbohydrate samples were immediately filtered from 47 mm Whatman GF/F (0.7 μm) glass fiber filters (precombusted at 450°C for 4 h) and stored at –20°C until the analyses in the laboratory. Chl a samples were pre-filtered with 210 μm nylon mesh in order to remove the larger particles. Then, the samples collected on GF/F filters and fixed with saturated MgCO3 just before the end of filtration. The filters stored at –20°C within 15 mL screw capped centrifuge tubes with Teflon liners.
Chl a was extracted with 10 mL of 90:10 acetone:water (v/v) solution for 24 h using a vortex mixer at 6 h of intervals and kept within refrigerator at 4°C. Following the extraction, the samples were centrifuged at 3 000 r/min for 10 min. Absorbances of the samples were recorded at 630, 647, 664 and 750 nm on a spectrophotometer (DR5000, Hach). Chl a concentrations (μg/L) were calculated according to APHA (1998).
DOC analysis is based on the discoloration of buffered phenolphthalein solution proportional to the CO2 concentration. The analysis was performed on a continuous flow nutrient analyzer (San Plus, Skalar) according to instructions of the manufacturer (Cat.No: 311–412). First, 0.06 mol/L sulfuric acid was added to the sample. Then, the digestion reagent (12 g K2S2O8 and 34 g Na2B4O7·10H2O per liter of distilled water) was added and UV digestion was applied. Following the digestion, hydroxylammonium chloride solution (includes 10% Triton X-100 and sulfuric acid) was added and CO2 was separated from reaction mixture with a gas dialysis membrane. Then, CO2 was reacted with the 1% phenolphthalein buffer solution (prepared in ethanol and sodium carbonate buffer). The colorimetric reading performed at 550 nm. Potassium hydrogen phthalate was used as organic carbon standard. Accuracy of the method was checked using potassium hydrogen phthalate at every 10 sample readings. Synthetic seawater including NaCl, MgSO4 and Milli-Q water was used as blank. The system was washed with Milli-Q water until the low and stable instrumental blank.
The carbohydrate analyses were performed according to the method proposed by Myklestad et al. (1997). TDCHO were initially hydrolyzed and analyzed according to the standard procedure given below after neutralization. For hydrolysis, 4 mL of sample and 0.4 mL of 1 mol/L HCl were added into 20 mL amber hydrolysis vials and the vials were tightly closed with Teflon lined screw caps. The vials were kept at 150°C for 1 h on a block heater. Then, the vials allowed to cool at room temperature and neutralized with 0.4 mL of 1 mol/L NaOH. For analysis of dissolved free carbohydrates (MCHO), 1 mL of sample was mixed in 20 mL amber vial. A total of 1 mL of 0.7 mmol/L potassium ferricyanide solution was added to sample and kept on the block heater at 100°C for 10 min. Then, 1 mL of 2 mmol/L ferric chloride and 2 mL of 2.5 mmol/L TPTZ solutions were added and thoroughly mixed on a vortex mixer. The absorbance was read at 595 nm after 30 min in a 50 mm cuvette against distilled water. The absorbance of a reagent blank prepared in Milli-Q water subtracted before further calculations. The working standards were prepared at 3.3, 8.3, 16.7, 33.3, 66.7, and 133.3 μmol/L (glucose-C) concentrations by dissolving neat D-glucose (47829, Supelco) analytical standard in Milli-Q water. Dissolved polysaccharide (PCHO) concentrations were calculated by subtracting the concentrations of MCHO from TDCHO. Precision of the method was between 3%–10% for high to low concentration samples and the detection limit was 0.4 μmol/L (Myklestad et al., 1997; Engel and Händel, 2011).
In the hydrolysis step of carbohydrates, 1 mol/L HCl was used. According to Myklestad et al. (1997), the hydrolysis works sufficiently but, in some studies, equal or two to four fold higher hydrolysis yields were reported by using two step hydrolysis (12 mol/L H2SO4 at prehydrolysis and 1.2 mol/L H2SO4 at post hydrolysis) (Pakulski and Benner, 1992; Myklestad et al., 1997). However, it is not almost possible to achieve 100% yield during hydrolysis of polysaccharides (Myklestad et al., 1997).
Statistical analyses were performed with R Statistical Computing Software, v3.2.5 (R Core Team, 2016). In all statistical tests, significance level was α=0.05. Seasonal changes of salinity, Chl a, DOC, MCHO, PCHO and TDCHO were evaluated with One Way ANOVA tests. Prior to ANOVA, test assumptions were checked with Shapiro-Wilk Normality test and Fligner-Killeen’s test for homogeneity of variances. Spearman’s rank correlation test used for correlation analyses between salinity, Chl a, DOC, MCHO, and TDCHO. Linear relationships between MCHO, PCHO, Chl a and TDCHO/DOC levels were investigated with linear regression analyses. Factor analysis was used to determine how the independent variables (salinity, Chl a, DOC, MCHO and TDCHO) were effective on the variation of data. Factor analysis was performed by using psych package in R (Revelle, 2016). Both Horn’s parallel analysis (Horn, 1965) and Very Simple Structure (VSS) (Revelle and Rocklin, 1979) methods were used to determine the correct number of factors. Prior to factor analysis, the data were divided into two subsets as middle-inner and outer bay. Factors were estimated with minimum residual (minres) method (Harman and Jones, 1966) and the data were not rotated.
Seasonal and vertical salinity, Chl a, DOC, MCHO, TDCHO and PCHO levels were given in Table 1. According to One Way ANOVA test results, there were no significant vertical changes for salinity, Chl a, DOC, MCHO, TDCHO and PCHO (p<0.05). Seawater salinity was found between 36.9 and 40.8 in all seasons. Salinity was remarkably higher in summer at middle-inner and outer bays (p<0.05, Table 2). Salinity was nearly constant with increasing depth.
Chl a concentrations were between 0.1–2.6 μg/L and 1.0–25.4 μg/L at outer and middle-inner bays, respectively. In middle-inner bays, maximum Chl a levels were found at surface waters and decreased at 5 m and bottom depths. Chl a levels were observed higher at Stas 1 and 2 in summer and autumn. Minimum Chl a levels were observed in autumn at middle-inner bays. Seasonal changes of Chl a levels were significant at middle-inner and outer bays (p<0.05, Table 2).
DOC concentrations ranged between 32.2–96.3 and 41.4– 244.2 μmol/L at outer and middle-inner bays, respectively. Highest DOC concentration was observed in summer at Sta. 1. DOC levels increased from winter to summer and slightly decreased in autumn. Vertical variations of DOC levels were not remarkable, but highest concentrations were observed at surface waters. Seasonal changes of DOC concentrations were significant at middle-inner and outer bays (p<0.05, Table 2).
MCHO levels were found between 0.7–8.3 μmol/L (1.3–8.3 μmol/L for middle-inner bay, 0.7–5.6 μmol/L for outer bay) and maximum MCHO levels were observed in spring. MCHO levels were increased from winter to spring and decreased to minimum levels in autumn. Seasonal changes of MCHO levels were significant at middle-inner and outer bays (p<0.05, Table 2).
PCHO levels were found between 0.7–19.5 μmol/L (0.7–19.5 μmol/L for middle-inner bay, 1.8–10.8 μmol/L for outer bay). PCHO levels were decreased from winter to autumn and highest PCHO concentrations were observed at surface waters. Seasonal variations of PCHO levels were significant at middle-inner and outer bays (p<0.05, Table 2).
TDCHO concentrations were ranged between 2.6–14.4 μmol/L and 3.6–24.6 μmol/L at outer and middle-inner bays, respectively. Similar to PCHO, TDCHO levels were decreased from winter to autumn. Seasonal changes of TDCHO levels were significant at middle-inner and outer bays (p<0.05, Table 2).
Seasonal and vertical MCHO/TDCHO, PCHO/TDCHO, MCHO/DOC, PCHO/DOC, TDCHO/DOC and PCHO/MCHO ratios were given in Table 3. MCHO/DOC, PCHO/DOC and TDCHO/DOC ratios showed significant decreasing trends from winter to summer-autumn seasons (p<0.05, Table 2). Maximum MCHO/DOC ratio was found as 11% at outer bay. Maximum PCHO/DOC (34%) and TDCHO/DOC (42%) ratios were observed at middle-inner bays. TDCHO/DOC ratios for middle-inner and outer bays were found in the range of 2.5%–42.3% ($\bar x$=15.6, s2=129.2) and 4.4%–37.1% ($\bar x$=13.1, s2=72.9), respectively. MCHO/TDCHO ratios were increased from winter to autumn, especially at middle-inner bays, and MCHO comprised up to 85% of TDCHO in autumn. MCHO/TDCHO ratios were observed between 21%–42% in winter, spring and summer. PCHO/TDCHO ratios were found lower at middle-inner bays compared to outer bay in autumn. PCHO/MCHO ratio was significantly lower at autumn compared to other seasons at middle-inner bays (p<0.05). PCHO/MCHO ratios were not changed significantly at outer bay (p<0.05).
Spatial and vertical distributions of MCHO, PCHO, TDCHO and DOC were given in Fig. 2. Carbohydrate concentrations were not changed significantly with depth. In summer, all carbohydrate species at Stas 1 and 2 (especially at surface and subsurface) were found remarkably higher than outer bay stations. MCHO, PCHO and TDCHO levels at Sta. 1 were higher than other stations at all seasons, except for autumn.
DOC concentrations were changed consistently with carbohydrate concentrations. In winter and spring, DOC levels were generally below 100 μmol/L except for Sta. 1. Maximum DOC concentration was found as 244.2 μmol/L at surface waters of Sta. 1 in summer. DOC levels were also found higher at 5 m and bottom depths of Stas 1 and 2 compared to the other stations in summer. DOC was slightly decreased from summer to autumn at all depths of Sta. 1, but DOC levels in autumn were higher than winter and spring seasons.
Correlations between MCHO, TDCHO, DOC, Chl a, and salinity were investigated with Spearman’s rank correlation test (Table 4). MCHO and TDCHO were positively correlated in all seasons (p<0.05) and a strong positive correlation was observed in summer (ρ=0.822, p<0.001). DOC was positively correlated with MCHO and Chl a in winter and summer (p<0.01). There was a strong positive correlation between DOC and TDCHO in summer (ρ=0.798, p<0.001). Chl a and MCHO was positively correlated in all seasons (p<0.01). Chl a was positively correlated with TDCHO in spring and summer (p<0.01). There were strong negative correlations between salinity and other variables (MCHO, TDCHO and Chl a) in spring (p<0.001).
As shown in Fig. 3, linear relationships were observed between MCHO and TDCHO/DOC ratio in middle-inner (p<0.05) and outer (p<0.001) bays, respectively. Strong linear relationships observed between PCHO and TDCHO/DOC ratio at both parts of the bay (middle-inner bays: R2=0.621, p<0.001, outer bay: R2=0.684, p<0.001). The ratio of TDCHO/DOC was linearly related with Chl a at outer bay (p<0.05). However, linear relationship between Chl a and TDCHO/DOC ratio was not significant at middle-inner bays (p=0.426).
In the literature, it has been reported that PCHO levels were changed on a seasonal basis and high PCHO values were observed in winter and summer (Myklestad and Børsheim, 2007). Nutrient transport from seabed to surface waters might also support phytoplankton activity in winter following the breakdown of stratification at water column (Scoullos et al., 2006). In some studies, higher dissolved carbohydrate levels have been reported in spring and summer than in winter and autumn (Myklestad and Børsheim, 2007; Hung et al., 2009; He et al., 2015). However, high carbohydrate levels have also been reported in winter (Lee et al., 2017). In this study, maximum MCHO levels were found in spring. The highest PCHO and TDCHO levels were observed in winter and spring.
Seasonal changes of PCHO and TDCHO were showed similar trends with Chl a levels. According to Table 4, PCHO and TDCHO were highly correlated with Chl a levels at spring and summer. PCHO, TDCHO and Chl a concentrations were decreased in autumn. These results indicated that PCHO and TDCHO levels might be influenced by biological processes especially in spring, summer and autumn. Similar significant correlations between carbohydrate and Chl a concentrations were reported in the literature (Hung et al., 2001, 2003; Khodse et al., 2007). However, carbohydrate concentrations are also influenced by other factors like bacterial utilization and grazing activities (Strom et al., 1997; Hopkinson et al., 2002; Guo et al., 2004; Wang et al., 2006). In winter, PCHO and TDCHO levels might be affected by rain run-offs, weathering and terrestrial inputs (Wang et al., 2003; Shin et al., 2003; He et al., 2015). DOC and carbohydrate levels (MCHO, PCHO and TDCHO) were found higher in middle-inner bays, under the influence of anthropogenic inputs, compared to outer bay.
Vertical variations of Chl a, DOC and dissolved carbohydrate concentrations were not significant in this study (p<0.05). This might be resulted from shallow water depths in the İzmir Bay. Depths of stations at middle-inner and outer bays range between 9–22 m and 27–66 m, respectively. In the literature, significant vertical variations in Chl a, DOC and dissolved carbohydrate concentrations were observed between upper water column (euphotic zone) and deep waters where light penetration is very low (Hung et al., 2003; Wang et al., 2006; Lin and Guo, 2015).
The ratio of MCHO/TDCHO increased from winter to autumn, especially at middle-inner bays, and similar results were reported in the literature (Wang et al., 2006; He et al., 2015; Lin and Guo, 2015). The ratios of MCHO/DOC and TDCHO/DOC decreased from winter to autumn and similar ratios were also observed in the literatures (Wang et al., 2006; Myklestad and Børsheim, 2007; He et al., 2015; Lin and Guo, 2015). Increasing MCHO/TDCHO and decreasing TDCHO/DOC ratios indicated production of significant MCHO fraction or breaking down of significant PCHO fraction from winter to autumn in the bay. A similar case was also reported by Wang et al. (2006).
Carbohydrate concentrations in bulk DOC pool (i.e., TDCHO/ DOC ratio) were used as a tool to investigate the degradation and diagenetic status of bulk DOM and its conversion rate in aquatic environments (Skoog and Benner, 1997; Hung et al., 2009; Kaiser and Benner, 2009; Khodse et al., 2010; Lin and Guo, 2015). Lin and Guo (2015) have reported TDCHO/DOC ratios in the ranges of 11%–71% and 14%–52% at surface waters of shelf and basin parts of Gulf of Mexico, respectively. Similar TDCHO/DOC ratios (2.5%–42.3% at middle-inner and 4.4%–37.1% at outer bays) were found in the present study. According to Fig. 3, TDCHO/DOC ratios were distributed at wide ranges and it might be related to the presence of newly forming and degrading fractions of DOM in the bay. Higher carbohydrate fractions were observed in freshly produced DOM and lower TDCHO/DOC ratios were found during the degradation process of DOM (Opsahl and Benner, 1999; Lin and Guo, 2015).
According to factor analysis between salinity, Chl a, DOC, MCHO and TDCHO (Fig. 4a), two factors were extracted and the factors were statistically sufficient to model the variations in the data of middle-inner bays. Factors 1 and 2 sufficiently explained 68% and 32% of the variability in the data, respectively. While the MCHO, TDCHO, DOC and Chl a explained by Factor 1, salinity and also DOC identified by Factor 2 for middle-inner bays. Factor analysis showed that variability of the data could be explained by at least two factors at outer bay (Fig. 4b). Factors 1 and 2 were accounted for 83% and 17% of the variability in the data, respectively. DOC, MCHO, TDCHO and Chl a were explained by Factor 1. Salinity and Chl a were explained by Factor 2 at outer bay. According to results of factor analyses, Chl a and dissolved carbohydrate species (MCHO and TDCHO) were explained in the same factor groups and phytoplankton activities could have an important role on the dissolved carbohydrate concentrations in the İzmir Bay.
DOC, MCHO and TDCHO levels determined in this study were similar to levels reported from other bays and gulfs (Table 5). DOC concentrations in the present study were very close to DOC levels observed at the Beaufort Sea (Panagiotopoulos et al., 2014), Black Sea (Cauwet et al., 2002) and Gulf of Mexico (Hung and Santschi, 2001). DOC levels at the Galveston Bay (Hung and Santschi, 2001) were greatly higher than the DOC levels in this study. MCHO levels in this study were only lower than those reported from the northern Adriatic Sea (Ahel et al., 2005). Maximum MCHO concentration in this study was higher than the maximum levels in the Atlantic Ocean, Pacific Ocean, Beaufort Sea, Trieste Gulf, San Francisco Bay and Gulf of Mexico (Pakulski and Benner, 1994; Terzić et al., 1998; Murrell and Hollibaugh, 2000; Hung and Santschi, 2001; Panagiotopoulos et al., 2014). TDCHO levels in this study were close to the TDCHO levels at the Black Sea, Bay of Bengal, Gulf of Mexico and San Francisco Bay (Bhosle et al., 1998; Murrell and Hollibaugh, 2000; Hung and Santschi, 2001; Cauwet et al., 2002). On the other hand, maximum TDCHO levels at the northern Adriatic Sea and Trieste Gulf were much higher than the TDCHO levels in this study (Terzić et al., 1998; Ahel et al., 2005).
Seasonal variations and distributions of dissolved carbohydrates, salinity, Chl a and DOC levels were studied in the İzmir Bay. According to the results, the highest MCHO levels were found in spring and the MCHO levels decreased from summer to autumn. Maximum PCHO and TDCHO levels were observed in winter and the PCHO and TDCHO levels decreased from winter to autumn. Mean dissolved carbohydrate, DOC and Chl a levels were decreased from middle-inner to outer bay. Increasing MCHO/ TDCHO and decreasing TDCHO/DOC ratios indicated production of significant MCHO fraction or breaking down of significant PCHO fraction from winter to autumn. TDCHO/DOC ratio distributed at a wide range that might be linked with the presence of newly forming and degrading fractions of DOM. According to results of factor analysis, Chl a and dissolved carbohydrate species (MCHO and TDCHO) were explained in the same factor group and phytoplankton activities could have an important role on the dissolved carbohydrate concentrations in the İzmir Bay. As indicators of biological and physical processes in seawater, seasonal and vertical variations of DOC, Chl a, MCHO, PCHO and TDCHO were useful in investigation of organic matter distribution. The effects of other environmental factors (i.e., primary production, bacterial abundance, extracellular enzyme activities) on dissolved carbohydrate levels should be investigated in further studies.
Ahel M, Tepic N, Terzic S. 2005. Spatial and temporal variability of carbohydrates in the northern Adriatic—a possible link to mucilage events. Science of the Total Environment, 353(1–3): 139–150
Alldredge A L, Passow U, Logan B E. 1993. The abundance and significance of a class of large, transparent organic particles in the ocean. Deep Sea Research Part I: Oceanographic Research Papers, 40(6): 1131–1140
Amon R M W, Benner R. 2003. Combined neutral sugars as indicators of the diagenetic state of dissolved organic matter in the Arctic Ocean. Deep Sea Research Part I: Oceanographic Research Papers, 50(1): 151–169
APHA. 1998. Chlorophyll, Section: 10200 H. In: Clesceri L S, Greenberg A E, Eaton A D, eds. Standard Methods for the Examination of Water and Wastewater. 20th ed. Baltimore, Maryland: United Book Press
Baldi F, Minacci A, Saliot A, et al. 1997. Cell lysis and release of particulate polysaccharides in extensive marine mucilage assessed by lipid biomarkers and molecular probes. Marine Ecology Progress Series, 153: 45–57
Benner R. 2002. Chemical composition and reactivity. In: Hansell D A, Carlson C A, eds. Biogeochemistry of Marine Dissolved Organic Matter. San Diego: Academic Press, 59–90
Benner R, Opsahl S. 2001. Molecular indicators of the sources and transformations of dissolved organic matter in the Mississippi river plume. Organic Geochemistry, 32(4): 597–611
Bhosle N B, Bhaskar P V, Ramachandran S. 1998. Abundance of dissolved polysaccharides in the oxygen minimum layer of the Northern Indian Ocean. Marine Chemistry, 63(1–2): 171–182
Borch N H, Kirchman D L. 1997. Concentration and composition of dissolved combined neutral sugars (polysaccharides) in seawater determined by HPLC-PAD. Marine Chemistry, 57(1–2): 85–95
Cauwet G, Déliat G, Krastev A, et al. 2002. Seasonal DOC accumulation in the Black Sea: a regional explanation for a general mechanism. Marine Chemistry, 79(3–4): 193–205
Chanudet V, Filella M. 2006. The application of the MBTH method for carbohydrate determination in freshwaters revisited. International Journal of Environmental Analytical Chemistry, 86(9): 693–712
Engel A, Händel N. 2011. A novel protocol for determining the concentration and composition of sugars in particulate and in high molecular weight dissolved organic matter (HMW-DOM) in seawater. Marine Chemistry, 127(1–4): 180–191
Guo L D, Tanaka T, Wang D L, et al. 2004. Distributions, speciation and stable isotope composition of organic matter in the southeastern Bering Sea. Marine Chemistry, 91(1–4): 211–226
Handa N. 1966. Distribution of dissolved carbohydrate in the Indian Ocean. Journal of the Oceanographical Society of Japan, 22(2): 50–55
Handa N. 1967. The distribution of the dissolved and the particulate carbohydrates in the Kuroshio and its adjacent areas. Journal of the Oceanographical Society of Japan, 23(3): 115–123
Harman H H, Jones W H. 1966. Factor analysis by minimizing residuals (minres). Psychometrika, 31(3): 351–368
He Zhen, Wang Qi, Yang Guipeng, et al. 2015. Spatiotemporal variation characteristics and related affecting factors of dissolved carbohydrates in the East China Sea. Continental Shelf Research, 108: 12–24
Hedges J I. 2002. Why dissolved organics matter. In: Hansell D A, Carlson C A, eds. Biogeochemistry of Marine Dissolved Organic Matter. San Diego: Academic Press, 1–33
Hedges J I, Cowie G L, Richey J E, et al. 1994. Origins and processing of organic matter in the Amazon River as indicated by carbohydrates and amino acids. Limnology and Oceanography, 39(4): 743–761
Hopkinson C S Jr, Vallino J J, Nolin A. 2002. Decomposition of dissolved organic matter from the continental margin. Deep Sea Research Part II: Topical Studies in Oceanography, 49(20): 4461–4478
Horn J L. 1965. A rationale and test for the number of factors in factor analysis. Psychometrika, 30(2): 179–185
Hung C C, Guo L D, Santschi P H, et al. 2003. Distributions of carbohydrate species in the Gulf of Mexico. Marine Chemistry, 81(3–4): 119–135
Hung C C, Gong G C, Chiang K P, et al. 2009. Particulate carbohydrates and uronic acids in the northern East China Sea. Estuarine, Coastal and Shelf Science, 84(4): 565–572
Hung C C, Santschi P H. 2001. Spectrophotometric determination of total uronic acids in seawater using cation-exchange separation and pre-concentration by lyophilization. Analytica Chimica Acta, 427(1): 111–117
Hung C C, Tang D, Warnken K W, et al. 2001. Distributions of carbohydrates, including uronic acids, in estuarine waters of Galveston Bay. Marine Chemistry, 73(3–4): 305–318
Jang L K, Harpt N, Grasmick D, et al. 1990. A two-phase model for determining the stability constants for interactions between copper and alginic acid. Journal of Physical Chemistry, 94(1): 482–488
Jang L K, Nguyen D, Geesey G G. 1995. Selectivity of alginate gel for Cu vs Co. Water Research, 29(1): 307–313
Kaiser K, Benner R. 2009. Biochemical composition and size distribution of organic matter at the Pacific and Atlantic time-series stations. Marine Chemistry, 113(1–2): 63–77
Khodse V B, Bhosle N B, Matondkar S G P. 2010. Distribution of dissolved carbohydrates and uronic acids in a tropical estuary, India. Journal of Earth System Science, 119(4): 519–530
Khodse V B, Fernandes L, Gopalkrishna V V, et al. 2007. Distribution and seasonal variation of concentrations of particulate carbohydrates and uronic acids in the northern Indian Ocean. Marine Chemistry, 103(3–4): 327–346
Kirchman D L, Meon B, Ducklow H W, et al. 2001. Glucose fluxes and concentrations of dissolved combined neutral sugars (polysaccharides) in the Ross Sea and Polar Front Zone, Antarctica. Deep Sea Research II: Topical Studies in Oceanography, 48(19-20): 4179–4197
Kontas A, Kucuksezgin F, Altay O, et al. 2004. Monitoring of eutrophication and nutrient limitation in the Izmir Bay (Turkey) before and after wastewater treatment plant. Environment International, 29(8): 1057–1062
Kucuksezgin F, Kontas A, Altay O, et al. 2005. Elemental composition of particulate matter and nutrient dynamics in the Izmir Bay (Eastern Aegean). Journal of Marine Systems, 56(1–2): 67–84
Lee J H, Lee D, Kang J J, et al. 2017. The effects of different environmental factors on the biochemical composition of particulate organic matter in Gwangyang Bay, South Korea. Biogeosciences, 14(7): 1903–1917
Leppard G G. 1997. Colloidal organic fibrils of acid polysaccharides in surface waters: electron-optical characteristics, activities and chemical estimates of abundance. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 120(1–3): 1–15
Libes S. 2009. Introduction to Marine Biogeochemistry. 2nd ed. California: Academic Press
Lin Peng, Guo Laodong. 2015. Spatial and vertical variability of dissolved carbohydrate species in the northern Gulf of Mexico following the Deepwater Horizon oil spill, 2010–2011. Marine Chemistry, 174: 13–25
McCarthy M, Hedges J, Benner R. 1996. Major biochemical composition of dissolved high molecular weight organic matter in seawater. Marine Chemistry, 55(3–4): 281–297
Murrell M C, Hollibaugh J T. 2000. Distribution and composition of dissolved and particulate organic carbon in northern San Francisco bay during low flow conditions. Estuarine, Coastal and Shelf Science, 51(1): 75–90
Myklestad S M, Børsheim K Y. 2007. Dynamics of carbohydrates in the Norwegian Sea inferred from monthly profiles collected during 3 years at 66°N, 2°E. Marine Chemistry, 107(4): 475–485
Myklestad S M, Skånøy E, Hestmann S. 1997. A sensitive and rapid method for analysis of dissolved mono- and polysaccharides in seawater. Marine Chemistry, 56(3–4): 279–286
Opsahl S, Benner R. 1999. Characterization of carbohydrates during early diagenesis of five vascular plant tissues. Organic Geochemistry, 30(1): 83–94
Pakulski J D, Benner R. 1992. An improved method for the hydrolysis and MBTH analysis of dissolved and particulate carbohydrates in seawater. Marine Chemistry, 40: 143–160
Pakulski J D, Benner R. 1994. Abundance and distribution of carbohydrates in the ocean. Limnology and Oceanography, 39(4): 930–940
Panagiotopoulos C, Sempéré R, Jacq V, et al. 2014. Composition and distribution of dissolved carbohydrates in the Beaufort Sea Mackenzie margin (Arctic Ocean). Marine Chemistry, 166: 92–102
Passow U, Alldredge A L, Logan B E. 1994. The role of particulate carbohydrate exudates in the flocculation of diatom blooms. Deep Sea Research Part I: Oceanographic Research Papers, 41(2): 335–357
Penna N, Capellacci S, Ricci F, et al. 2003. Characterization of carbohydrates in mucilage samples from the northern Adriatic Sea. Analytical and Bioanalytical Chemistry, 376(4): 436–439
Penna N, Kovač N, Ricci F, et al. 2009. The role of dissolved carbohydrates in the northern adriatic macroaggregate formation. Acta Chimica Slovenica, 56(2): 305–314
Pettine M, Patrolecco L, Manganelli M, et al. 1999. Seasonal variations of dissolved organic matter in the northern Adriatic Sea. Marine Chemistry, 64(3): 153–169
R Core Team. 2016. A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing, https://www.r-project.org/
Revelle W. 2016. Psych: Procedures for Psychological, Psychometric, and Personality Research. Illinois, USA: Northwestern University, http://cran.r-project.org/package=psych
Revelle W, Rocklin T. 1979. Very simple structure: alternative procedure for estimating the optimal number of interpretable factors. Multivariate Behavioral Research, 14(4): 403–414
Rich J M, Gosselin E, Sherr B, et al. 1997. High bacterial production, uptake and concentrations of dissolved organic matter in the central Arctic Ocean. Deep Sea Research Part II: Topical Studies in Oceanography, 44(8): 1645–1663
Sunlu F S, Sunlu U, Buyukisik B, et al. 2012. Nutrient and chlorophyll a trends after wastewater treatment plant in Izmir bay (Eastearn Aegean Sea). Journal of Animal and Veterinary Advances, 11(1): 113–123
Sayin E. 2003. Physical features of the Izmir Bay. Continental Shelf Research, 23(10): 957–970
Scoullos M, Plavšić M, Karavoltsos S, et al. 2006. Partitioning and distribution of dissolved copper, cadmium and organic matter in Mediterranean marine coastal areas: The case of a mucilage event. Estuarine, Coastal and Shelf Science, 67(3): 484–490
Shin K H, Hama T, Handa N. 2003. Effect of nutrient conditions on the composition of photosynthetic products in the East China Sea and surrounding waters. Deep Sea Research Part II: Topical Studies in Oceanography, 50(2): 389–401
Skoog A, Alldredge A, Passow U, et al. 2008. Neutral aldoses as source indicators for marine snow. Marine Chemistry, 108(3–4): 195–206
Skoog A, Benner R. 1997. Aldoses in various size fractions of marine organic matter: implications for carbon cycling. Limnology and Oceanography, 42(8): 1803–1813
Strom S L, Benner R, Ziegler S, et al. 1997. Planktonic grazers are a potentially important source of marine dissolved organic carbon. Limnology and Oceanography, 42(6): 1364–1374
Terzić S, Ahel M, Cauwet G, et al. 1998. Group-specific phytoplankton biomass/dissolved carbohydrate relationships in the Gulf of Trieste (Northern Adriatic). Hydrobiologia, 363(1–3): 191–205
Wang Baodong, Wang Xiulin, Zhan Run. 2003. Nutrient conditions in the Yellow Sea and the East China Sea. Estuarine, Coastal and Shelf Science, 58(1): 127–136
Wang Deli, Henrichs S M, Guo Laodong. 2006. Distributions of nutrients, dissolved organic carbon and carbohydrates in the western Arctic Ocean. Continental Shelf Research, 26(14): 1654–1667
Yang Guipeng, Zhang Yanping, Lu Xiaolan, et al. 2010. Distributions and seasonal variations of dissolved carbohydrates in the Jiaozhou Bay, China. Estuarine, Coastal and Shelf Science, 88(1): 12–20
Zhang Yanping. 2010. Distributions and influencing factors of dissolved carbohydrates in the coastal waters of China [dissertation] (in Chinese). Qingdao: Ocean University of China
Year 2018 volume 37 Issue 8
PDF
28
15
Cite this Article
BibTeX
Article Info
doi: 10.1007/s13131-018-1229-x
  • Receive Date:2017-11-30
  • Online Date:2026-04-14
  • Published:2018-08-25
Article Data
Affiliations
History
  • Received:2017-11-30
  • Accepted:2018-02-24
Affiliations
    1 Graduate School of Natural and Applied Sciences, Dokuz Eylül University, Tinaztepe Campus, İzmir 35390, Turkey
    2 Institute of Marine Sciences and Technology, Dokuz Eylül University, İnciraltı, İzmir 35340, Turkey

Corresponding:

References
Share
https://castjournals.cast.org.cn/joweb/aos/EN/10.1007/s13131-018-1229-x
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT