Journal cover Journal topic
Biogeosciences An interactive open-access journal of the European Geosciences Union
Journal topic
Biogeosciences, 16, 927-947, 2019
https://doi.org/10.5194/bg-16-927-2019
Biogeosciences, 16, 927-947, 2019
https://doi.org/10.5194/bg-16-927-2019

Research article 27 Feb 2019

Research article | 27 Feb 2019

# Composition and vertical flux of particulate organic matter to the oxygen minimum zone of the central Baltic Sea: impact of a sporadic North Sea inflow

Composition and vertical flux of particulate organic matter in the Baltic Sea
Carolina Cisternas-Novoa1, Frédéric A. C. Le Moigne1,a, and Anja Engel1 Carolina Cisternas-Novoa et al.
• 1GEOMAR, Helmholtz Centre for Ocean Research Kiel, Düsternbrooker Weg 20, 24105 Kiel, Germany
• apresent address: Mediterranean Institute of Oceanography, UM 110, Aix Marseille Univ., Universiteì 6 de Toulon, CNRS, IRD, 13288, Marseille, France
Abstract

Particle sinking is a major form of transport for photosynthetically fixed carbon to below the euphotic zone via the biological carbon pump (BCP). Oxygen (O2) depletion may improve the efficiency of the BCP. However, the mechanisms by which O2 deficiency can enhance particulate organic matter (POM) vertical fluxes are not well understood. Here, we investigate the composition and vertical fluxes of POM in two deep basins of the Baltic Sea (GB: Gotland Basin and LD: Landsort Deep). The two basins showed different O2 regimes resulting from the intrusion of oxygen-rich water from the North Sea that ventilated the water column below 140 m in GB, but not in LD, during the time of sampling. In June 2015, we deployed surface-tethered drifting sediment traps in oxic surface waters (GB: 40 and 60 m; LD: 40 and 55 m), within the oxygen minimum zone (OMZ; GB: 110 m and LD: 110 and 180 m) and at recently oxygenated waters by the North Sea inflow in GB (180 m). The primary objective of this study was to test the hypothesis that the different O2 conditions in the water column of GB and LD affected the composition and vertical flux of sinking particles and caused differences in export efficiency between those two basins.

The composition and vertical flux of sinking particles were different in GB and LD. In GB, particulate organic carbon (POC) flux was 18 % lower in the shallowest trap (40 m) than in the deepest sediment trap (at 180 m). Particulate nitrogen (PN) and Coomassie stainable particle (CSP) fluxes decreased with depth, while particulate organic phosphorus (POP), biogenic silicate (BSi), chlorophyll a (Chl a) and transparent exopolymeric particle (TEP) fluxes peaked within the core of the OMZ (110 m); this coincided with the presence of manganese oxide-like (MnOx-like) particles aggregated with organic matter. In LD, vertical fluxes of POC, PN and CSPs decreased by 28 %, 42 % and 56 %, respectively, from the surface to deep waters. POP, BSi and TEP fluxes did not decrease continuously with depth, but they were higher at 110 m. Although we observe a higher vertical flux of POP, BSi and TEPs coinciding with abundant MnOx-like particles at 110 m in both basins, the peak in the vertical flux of POM and MnOx-like particles was much higher in GB than in LD. Sinking particles were remarkably enriched in BSi, indicating that diatoms were preferentially included in sinking aggregates and/or there was an inclusion of lithogenic Si (scavenged into sinking particles) in our analysis. During this study, the POC transfer efficiency (POC flux at 180 m over 40 m) was higher in GB (115 %) than in LD (69 %), suggesting that under anoxic conditions a smaller portion of the POC exported below the euphotic zone was transferred to 180 m than under reoxygenated conditions present in GB. In addition, the vertical fluxes of MnOx-like particles were 2 orders of magnitude higher in GB than LD. Our results suggest that POM aggregates with MnOx-like particles formed after the inflow of oxygen-rich water into GB, and the formation of those MnOx–OM-rich particles may alter the composition and vertical flux of POM, potentially contributing to a higher transfer efficiency of POC in GB. This idea is consistent with observations of fresher and less degraded organic matter in deep waters of GB than LD.

1 Introduction

Particle sinking is the primary mechanism for transporting photosynthetically fixed carbon below the euphotic zone via the biological carbon pump (BCP) (Boyd and Trull, 2007; Turner, 2015). Previous studies suggested that the transfer of particulate organic carbon (POC) from the euphotic zone to the ocean interior is enhanced in oxygen minimum zones (OMZs) (Cavan et al., 2017; Devol and Hartnett, 2001; Engel et al., 2017; Keil et al., 2016; Van Mooy et al., 2002). Possible mechanisms explaining the higher POC transfer include the following: (i) the reduction of aggregate fragmentation due to the lower zooplankton abundance within the OMZ (Cavan et al., 2017; Keil et al., 2016); (ii) the potentially high contribution of refractory terrestrial organic matter (OM) to the POC flux (Keil et al., 2016; Van Mooy et al., 2002); (iii) a decrease in heterotrophic microbial activity due to oxygen (O2) limitation (Devol and Hartnett, 2001); (iv) the preferential degradation of nitrogen-rich organic compounds (Kalvelage et al., 2013; Van Mooy et al., 2002; Engel et al., 2017); and (v) changes in ballast materials that may alter the sinking velocity and protect OM from degradation (Armstrong et al., 2002). Currently, the study of POC vertical flux in OMZs has been mostly focused on the tropical ocean (Cavan et al., 2017; Devol and Hartnett, 2001; Engel et al., 2017; Keil et al., 2016; Van Mooy et al., 2002), whereas how low O2 concentration would affect the composition and fate of sinking OM, and the efficiency of the BCP in oxygen-deficient zones of temperate–boreal regimes such as the Baltic deep basins, has been less studied.

The semi-enclosed, brackish Baltic Sea is a unique environment with strong natural gradients of salinity and temperature (Kullenberg and Jacobsen, 1981), primary productivity, nutrients (Andersen et al., 2017), and O2 concentrations (Carstensen et al., 2014a). New production, defined as the fraction of the autotrophic production supported by allochthonous sources of nitrogen (Dugdale and Goering, 1967), is considered equivalent to the particulate OM export (Eppley and Peterson, 1979; Legendre and Gosselin, 1989) on appropriate timescales. In the Baltic Sea, new production varies seasonally (Thomas and Schneider, 1999), with periods of high new production during spring and summer, supported by the diatom-dominated spring bloom and by diazotrophic cyanobacteria, respectively (Wasmund and Uhlig, 2003). Based on sediment trap data collected at 140 m of depth in the Gotland Basin (GB), Struck et al. (2004) reported that the highest fluxes of POC occurred in fall, followed by summer and spring. Using δ15N, they showed that during the summer, N2 fixation by diazotrophic species is the primary source (∼41 %) of the exported nitrogen and that the majority of the sedimentary particulate organic matter (POM) in the central Baltic Sea is of pelagic origin.

OM export from the euphotic zone to the seafloor has a dual significance in the deep basins of the Baltic Sea. On the one hand, it contributes to the long-term burial of POC and consequently to the removal and long-term storage of CO2 from surface waters (Emeis et al., 2000; Leipe et al., 2011); on the other hand, it connects the pelagic and the benthic systems contributing to the O2 consumption and hence deoxygenation at depth. Environmental and anthropogenic changes may alter the magnitude and composition of OM transferred from the surface to the seafloor in the Baltic Sea (Tamelander et al., 2017). The reduction of nutrient inputs as targeted by the Baltic Marine Environment Protection Commission (HELCOM) may reduce the OM downward flux and limit the oxygen depletion at depth. However, since hypoxia occurred naturally in the Baltic Sea due to physical processes, mitigating eutrophication will only decrease the spatial extent and intensity of the O2 deficiency in the deep basins.

GB (248 m) and Landsort Deep (LD; 460 m) are the deepest basins of the Baltic Sea. They exhibit permanent bottom-water hypoxia (Conley et al., 2009) caused by a combination of limited water exchange with the North Sea through the Kattegat, strong vertical stratification, and high production–remineralization of OM due to eutrophication (Carstensen et al., 2014b; Conley et al., 2009). A permanent transition zone of about 2 to 10 m thickness separates the oxygenated surface and the oxygen-deficient waters, with a pelagic redoxcline located approximately between 127 and 129 m in GB and between 79 and 85 m in LD (Glockzin et al., 2014). From the 1950s to 1970s, the hypoxic zones (<60µM) in the Baltic Sea expanded fourfold (Carstensen et al., 2014a). Saltwater inflows from the North Sea are the primary mechanism renewing deep water in the central Baltic Sea (Matthäus et al., 2008). A major Baltic inflow (MBI) occurred in 2014–2015 (Mohrholz et al., 2015); this event ventilated bottom waters for 5 months between February and July 2015 (Holtermann et al., 2017). This MBI caused the intrusion of O2 to deep hypoxic waters, substantial temperature variability (Holtermann et al., 2017), displacement of remnant stagnant water masses by new water that changed the chemistry of the water column (Myllykangas et al., 2017), and high turbidities that may be associated with redox reactions products (Schmale et al., 2016). At the time of sampling (June 2015), the MBI had reached GB but did not affect LD, located further northwest. The oxygenated water inflow reached GB at the beginning of March and created a secondary near-bottom redoxcline (Schmale et al., 2016); the bottom-water anoxia started to reestablish in July 2015 (Dellwig et al., 2018). In LD, water properties did not change due to the MBI, the sulfidic layer was maintained (hydrogen sulfide, H2S concentrations of 20.7–21.2 µM), and salinity varied between 10.6 and 10.9 (Holtermann et al., 2017).

Pelagic redoxclines are the suboxic transition between oxic and anoxic – even sulfidic – waters. A steep redox gradient characterizes this transition zone where electron acceptors and their reduced counterparts are vertically segregated, and biogeochemical transformations mediated by microbial processes are actively occurring (Bonaglia et al., 2016; Brettar and Rheinheimer, 1991; Neretin et al., 2003). For instance, iron (Fe) and manganese (Mn) undergo rapidly reversible transformations at the redox interface. Mn is an essential electron donor and acceptor in redox processes occurring in brackish, pelagic systems with anoxic conditions like the deep basins of the Baltic Sea. Redox conditions control the biogeochemical transformations between dissolved Mn2+ and insoluble oxides and hydroxides of Mn4+. Under anoxic conditions dissolved and reduced Mn forms dominate, while in the presence of O2 the formation of particulate manganese oxides (MnOx) is favored. The concentration of dissolved Mn may reach 0.3 µM in GB and a maximum value of about 3 µM in the LD (Dellwig et al., 2012). Van Hulten et al. (2017) estimated an aggregation threshold for manganese oxides of 25 pM and suggested that a minimal concentration of dissolved Mn is required for an efficient aggregation and removal of MnOx. Therefore, in GB and LD, the balance between dissolve Mn and the formation of MnOx is controlled by the O2 availability (e.g., Neretin et al., 2003). LD is characterized by a permanently stratified water column and sulfidic bottom waters; these conditions favored the accumulation of high concentrations of dissolved Mn (Dellwig et al., 2012).

In contrast, GB is periodically affected by lateral intrusions of O2 and the oxygenation of deep water as a result of MBIs that occur every 1 to 4 years (Matthäus and Franck, 1992), favoring the occurrence of MnOx-containing particles. MnOx production may be microbially mediated (Richardson et al., 1988) or authigenic (Glockzin et al., 2014). In sulfidic waters, the reduction of MnOx with sulfide occurs within a scale of seconds to minutes (Neretin et al., 2003) and is inhibited by nitrate (Dollhopf et al., 2000). The oxygenation of the deep water of GB by the 2014–2015 MBI combined with the release of Mn from the sediments into the water column (Lenz et al., 2015) generated appropriate conditions to enhance particulate MnOx formation and vertically expand the zone where they could be observed in the water column.

MnOx-containing particles have previously been observed at pelagic redoxclines in the Baltic Sea (Glockzin et al., 2014; Neretin et al., 2003). They are amorphous or star-shaped particles and occur as single particles or form aggregates with OM (Neretin et al., 2003), specifically with transparent exopolymer particles (TEPs) (Glockzin et al., 2014). The sinking velocity (0.76 m d−1) of those mixed aggregates containing MnOx and TEPs was lower than what was predicted by the Stokes law, possibly due to their star-shaped morphology and the high OM content. TEPs are highly sticky, polysaccharide-rich particles that can enhance particle aggregation rates and the formation of marine snow (Engel, 2000; Logan et al., 1995). Thus, the sinking of MnOx–OM aggregates may contribute to the downward flux of POC. However, high content of TEPs relative to more dense particles could reduce the density of marine aggregates and decrease their sinking velocity (Engel and Schartau, 1999). Another type of less studied exopolymer particles are CSPs; they are protein-containing particles that stain with Coomassie brilliant blue (Long and Azam, 1996). Little is known about the characteristics and dynamics of those particles in marine systems, and their potential to form aggregates with MnOx has not been studied. Different to TEPs, CSPs have a limited role in the aggregation of diatoms (Prieto et al., 2002; Cisternas-Novoa et al., 2015), but seem to be important for the aggregation of cyanobacteria (Cisternas-Novoa et al., 2015). Mixed MnOx–OM aggregates may affect the cycling of particle-reactive elements like phosphorus and trace metals via scavenging processes, and it has been proposed that they could act as carriers of bacteria in the redoxcline (Dellwig et al., 2010). To date, there are no measurements of the density of MnOx–OM aggregates, their potential ballast effect on sinking OM, or their biogeochemical role modifying the vertical flux of POM in the Baltic Sea.

The objectives of this study are, first, to determine the amount and composition of particles sinking out of the euphotic zone into the deep basins of the Baltic Sea: GB and LD. The second objective is to study how the oxygenation of deep waters (>140 m) caused by the 2014–2015 MBI may affect the vertical flux of sinking particles. We therefore compared GB, which was affected by the MBI, with LD, which was not affected and exhibited low O2 concentration (>74 m) and even sulfidic conditions (>180 m). We hypothesized that the MBI that altered the water column chemistry and created different O2 conditions in GB compared with LD affected the composition and vertical flux of sinking particles. Additionally, the higher abundance and in situ formation of MnOx–OM aggregates may cause differences in the degradation and export of OM between the two basins.

2 Methods

## 2.1 Sampling location and water column properties

Samples were collected during the BalticOM cruise in the Baltic Sea onboard the RV Alkor form 3 to 19 June 2015. We collected sinking particles using surface-tethered drifting sediment traps (Engel et al., 2017; Knauer et al., 1979) in GB and LD (Table 1). Additionally, water column samples (Table 2) were collected using a Niskin-bottle rosette at the locations of the trap deployments. Temperature, salinity and O2 concentration were determined at each station using a Sea-Bird (CTD) probe equipped with an O2 sensor (Oxyguard, PreSens), calibrated with discrete samples measured using the Winkler method (Strickland and Parsons, 1968; Wilhelm, 1888).

Table 1Sediment trap deployment and recovery locations, dates, collection times and depths. Two sediment traps were deployed at 40 m (A and B) to evaluate replicability.

Table 2Abundance of chlorophyll- and phycoerythrin-containing picoplankton and nanoplankton measured by flow cytometry in GB and LD.

## 2.2 Sediment trap design and deployment

We deployed two surface-tethered drifting sediment traps for 2 days in GB and 1 day in LD (Fig. 1). Each trap collected particles at four depths: 40 m (two arrays were deployed to evaluate replicability of particle collection), 60 m (55 m in LD), 110 m and 180 m (Table 1) to estimate POM fluxes to and within the OMZ. 40 m was considered as the base of the euphotic zone based on photosynthetically active radiation measurements conducted during the cruise (data not shown). At each depth, 12 acrylic particle interceptor tubes (PITs) mounted in a PVC cross-frame were deployed. Each PIT was equipped with an acrylic baffle at the top to minimize the collection of swimmers (Engel et al., 2017; Knauer et al., 1979). The PITs were 7 cm in diameter and 53 cm in height with an aspect ratio of 7.5 and a collection area of 0.0038 m−2. The cross-frame and PITs were attached to a line that had a bottom weight and a set of surface and subsurface floats. The procedures for PIT preparation and sample recovery followed Engel et al. (2017). Shortly before deployment, each PIT was filled with 1.5 L of seawater previously filtered through a 0.2 µm pore size cartridge. A preservative solution of saline brine (50 g L−1) was added slowly to each PIT underneath the 1.5 L of filtered seawater, carefully keeping the density gradient. The PITs were kept covered until deployment and immediately after recovery to avoid contamination. After recovery, the density gradient was visually verified, and the supernatant seawater was siphoned off the PIT. Then, we pooled together the remaining water, containing the sinking material (∼0.6–0.8 L), of 12 tubes per depth into a large container that we filled up to 10 L with filtered seawater (between 0.4 and 1.5 L) to have the same volume per depth. After that, the samples were screened with a 500 µm mesh to remove swimmers (Conte et al., 2001). Subsequently, samples were split into aliquots that were processed for the different biogeochemical analysis as described in Engel et al. (2017).

Figure 1Monthly averaged Chl a distribution derived from VIIRS for June 2015 in the Baltic Sea. Black circle and “x” indicate the position of the trap deployment and the seawater collection, respectively, in Gotland Basin (GB) and Landsort Deep (LD). The lower panel shows the trajectory of the trap deployed at GB and LD.

## 2.3 Biogeochemical analysis

Nutrients were measured in seawater samples collected at the deployment stations. Ammonium (detection limit of 0.05 µM) was measured directly on unfiltered seawater samples onboard after Solórzano (1969). Phosphate, nitrate and nitrite (detection limit of 0.04 µM) were filtered through a 0.2 µm pore size and stored frozen until their analysis; samples were measured photometrically with continuous-flow analysis on an auto-analyzer (QuAAtro; Seal Analytical) after Grasshoff et al. (1999).

Particulate organic carbon (POC), nitrogen (PN), organic phosphorus (POP) and chlorophyll a (Chl a) were determined as described in Engel et al. (2017). Aliquots of 100 to 200 mL of the trapped material and 500 mL of the seawater samples were filtered in duplicate for each parameter at low vacuum (<200 mbar) onto precombusted GF/F filters (8 h at 500 C). The filters were stored frozen (−20C) until analysis. Prior to analysis, filters for POC–PN determination were exposed to acid fumes (37 % hydrochloric acid) to remove carbonates and subsequently dried for 12 h at 60 C. POC and PN concentrations were determined using an elemental analyzer (Euro EA, Hechatech) after Sharp (1974).

POP was analyzed after Hansen and Koroleff (1999). POP was oxidized to orthophosphate by heating the filters in 40 mL of deionized water (18.2 MΩ) with Oxisolv (Merck 112936) for 30 min in a pressure cooker. Orthophosphate was determined spectrophotometrically at 882 nm in a Shimadzu UV–Vis spectrophotometer UV1201.

Chl a was analyzed after extraction with 10 mL of 90 % acetone, and the fluorescence of the samples was measured using a Turner fluorometer (excitation 440 nm, emission 685 nm; Turner 10AU) according to Strickland et al. (1972). The fluorometer was calibrated with a standard solution of Chl a (Sigma-Aldrich C-5753).

Biogenic silica (BSi) was determined in aliquots of 50 to 100 mL, filtered in duplicate onto 0.4 µm cellulose acetate filters. Samples were stored at −20C until analysis. For the measurements, filters were digested in NaOH at 85 C for 135 min; the pH was adjusted to 8 with HCl. Silicate was measured spectrophotometrically according to Hansen and Koroleff (2007).

Polysaccharide (TEP) and protein (CSP) exopolymer particles, from sediment trap and water column samples, were analyzed by microscopy according to Engel (2009). Duplicate aliquots of 5 to 20 mL were filtered onto 0.4 µm Nuclepore membrane filters (Whatmann) and stained with 1 mL of Alcian blue solution, a dye that targets acidic polysaccharides, for TEPs or 1 mL of Coomassie brilliant blue solution, a dye commonly used to stain proteins (Bradford, 1976), for CSPs. Filters were transferred onto Cytoclear® slides and frozen (−20C) until microscopy analysis. For the analysis, 30 images for each filter were captured under 200× magnification using a light microscope (Zeiss Axio Scope.A1) connected to a color camera (AxioCam MRc). Particle abundance and area were measured semiautomatically using an image analysis system including the WCIF ImageJ software. The RGB was split into three channels (red, blue and green), and the red was used to quantify the amount of TEPs and CSPs. Additionally, TEPs and CSPs in water samples from the stations where we deployed sediment traps were analyzed spectrophotometrically (with higher vertical resolution than microscopy) according to Passow and Alldredge (1995) and Cisternas-Novoa et al. (2014), respectively. Concentrations of TEPs are reported relative to a xanthan gum standard and expressed in micrograms of xanthan gum equivalent per liter (µg XG eq. L−1), and concentrations of CSPs are reported relative to a bovine serum albumin standard and expressed in micrograms of bovine serum albumin equivalent per liter (µg BSA eq. L−1).

MnOx-containing particles have been commonly identified based on their morphology, size and elemental composition, confirmed by scanning electron microscopy (SEM) and energy-dispersive X-ray microanalysis (EDX) (Neretin et al., 2003; Glockzin et al., 2014; Dellwig et al., 2010, 2018). In this study, we did not measure the elemental composition of the particles. Thus, we identified them as MnOx-like particles based on similar morphology, size and association with organic matter (OM) as MnOx-containing particles previously described in the Baltic Sea (eg., Neretin et al., 2003; Glockzin et al., 2014). The abundance and size of MnOx-like particles were determined using particle recognition on filters and image processing similar to the method used by Neretin et al. (2003) but without the chemical composition analysis of the particles. For the image analysis, we used the same images as for TEP and CSP analysis and modified the image analysis procedure described above as follows: 30 images per filter (200×) were analyzed semiautomatically using ImageJ software. After RGB split, the blue channel pictures were used to quantify MnOx-like particles in the water column and sediment traps. In this manner, the MnOx-like particles were clearly visible with a negligible disruption from TEPs or CSPs stained blue.

Total hydrolyzable amino acids (TAAs) were analyzed in unfiltered seawater and trapped material. Samples were stored at −20C until analysis. Duplicate samples were hydrolyzed at 100 C in 6N HCl (Suprapur® hydrochloric acid 30 %) and 11 mM ascorbic acid for 20 h. Amino acids were separated and measured by high-performance liquid chromatography (HPLC), after derivatization with ortho-phthaldialdehyde using a fluorescence detector (excitation 330 nm, emission 445 nm) (Dittmar et al., 2009; Lindroth and Mopper, 1979). TAA concentrations were reported as µM of monomer. The quantitative degradation index (DI) of Dauwe et al. (1999), based on changes in the amino acid composition of POM as it undergoes degradation processes, was calculated using the factor coefficient of Dauwe et al. (1999) and the average and standard deviation of the TAAs in this data set.

Total combined carbohydrates (TCHOs) >1 kDa were determined by HPAEC-PAD according to Engel and Händel (2011). TCHOs were analyzed in the unfiltered seawater and sediment trap material. Samples were stored at −20C until analysis. Prior to analysis, the samples were desalted by membrane dialysis using dialysis tubes with a 1 kDa molecular weight cutoff (Spectra Por). Desalination was conducted for 4.5 h at 1 C. Then, a 2 mL subsample was sealed with 1.6 mL of 1 M HCl in precombusted glass ampoules and hydrolyzed for 20 h at 100 C. After hydrolysis, the subsamples were neutralized by acid evaporation under N2 atmosphere at 50 C, resuspended with ultrapure Milli-Q water and analyzed on a Dionex 3000 ion chromatography system. TCHO concentrations were reported as µM of monomer.

## 2.4 Phytoplankton abundance

Phytoplankton composition and abundance at the stations where we deployed sediment traps were evaluated using light microscopy and flow cytometry. Counts of phytoplankton cells >5µm were made from 50 mL of fixed samples (Lugol's solution, 1 % final concentration). Samples were concentrated using gravitational settling and counted under a Zeiss Axiovert inverted microscope (200× magnification) following the guidelines for determination of phytoplankton species composition and abundance (HELCOM, 2012). The counts were made on either half (cyanobacteria, diatoms and Dinophysis sp.) or two strips (Cryptophyta, unidentified dinoflagellates and Chlorophyta) of the chamber. Individual filaments of cyanobacteria were counted in 50 µm length units. The size of the counted phytoplankton species ranged from 10 to 200 µm.

Phytoplankton, <20µm, cell abundance was quantified using a flow cytometer (FACSCalibur, Becton Dickinson, Oxford, UK). 2 mL samples were fixed with formaldehyde (1 % final concentration) and stored frozen (−80C) until analysis (2 weeks later). Red and orange autofluorescence was used to identify chlorophyll and phycoerythrin cells. Cell counts were determined with CellQuest software (Becton Dickinson); picoplankton and nanoplankton populations of naturally containing chlorophyll and/or phycoerythrin (i.e., Synechococcus) were identified and enumerated.

## 2.5 Statistics

Significant differences between two parameters were tested using the Mann–Whitney U test. The results of statistical analyses were assumed to be significant at p values <0.05. Statistical analyses were performed using MATLAB software (MatlabR2014a).

3 Results

## 3.1 Biogeochemistry of the water column

At both stations, GB and LD, the water column was stratified during the study. In GB, the seasonal thermocline was located between 22 and 37 m, with temperature decreasing rapidly from 9.8 C in the surface mixed layer to 4.7 C below 37 m (Fig. 2a). Deeper in the water column, a pycnocline (halocline) coincided with the oxycline and was located between 65 m (S=7.6) and 80 m (S=10.2); below 80 m the salinity gradually increased up to 13.5 (220 m). A hypoxic layer (<40µM O2) was located between 74 and 140 m; the core of the OMZ (<10µM O2) was located between 96 and 125 m. The O2 concentration increased from 35 µM O2 at 140 m to 79 µM O2 at 220 m (Fig. 2a). In LD, the seasonal thermocline was located between 10 and 39 m, where the temperature decreased gradually from 12 to 4.0 C (Fig. 2b). The pycnocline was between 55 (S=7.2) and 75 m (S=9); below that the salinity was constant (S=10.7) until the bottom of the station (430 m). The O2 concentration was below the detection limit (<3µM O2) from 74 m to the deepest point sampled in LD (430 m).

Figure 2Water column profiles at the location of the sediment trap deployments in (a) GB, and (b) LD. Left panels: oxygen (blue), temperature (red) and salinity (black). Middle panels: nitrate (NO3, white squares), nitrite (NO2, grey circles), ammonium (NH4, black triangles) and hydrogen sulfide (H2S, black diamonds). Right panels: phosphate (PO4, grey diamond) and silicate (Si(OH)4, black circles). Grey lines indicate the depths at which we deployed sediment traps.

The vertical profile of nutrients was different at both stations (Fig. 2). In GB, nitrate concentration increased from below the detection limit in the upper 10 m to 0.17 µM at 40 m (Fig. 2a). Concentrations were variable within the OMZ with 6 µM in the upper (80 m) and lower oxycline (140 m) and 0.12 µM in the core of the OMZ (110 m). The nitrate concentration was 4.8 µM in the deepest sample (220 m). Nitrite was below the detection limit in most of the water column except for 60 m (0.09 µM) and 110 m (0.11 µM). Ammonium increased from 0.14 µM in the upper 10 m to 1.15 µM at 40 m; concentrations were variable within the OMZ with less than 0.15 µM in the upper (80 m) and lower oxycline (140 m) and a maximum concentration of 3.28 µM in the core of the OMZ (110 m). Vertical profiles of phosphate and silicate at GB were similar; the concentrations steadily increased from the upper 10 m of the water column (0.29 and 10.36 µM, respectively) to the OMZ (2.67 and 39.07 µM, respectively) and gradually decreased below the OMZ (Fig. 2a). H2S was not detectable in GB.

Table 3Phytoplankton abundance analyzed microscopically for samples collected at the location of trap deployment in GB and LD.

* Filamentous cyanobacteria were counted in 50 µm length units (>90 % were Aphanizomenon sp.). ${}^{**}$ Includes mixotrophs.

In LD, nitrate and nitrite concentrations were below the detection limit between the surface and 250 m (<0.04µM) (Fig. 2b). Nitrite showed a maximum of 0.22 µM at 350 m, and nitrate a maximum of 6.0 µM at 400 m. Ammonium concentrations varied between 0.06 and 0.59 µM in the upper 70 m and increased to 5.97 and 8.03 µM in the OMZ (>74 m). The lowest ammonium concentration (0.07 µM) was measured in the surface and the highest (8.03 µM) at 110 m. Phosphate and silicate concentrations were relatively low within the mixed layer, gradually increased below the pycnocline, and decreased again between 110 and 180 m. Phosphate concentrations varied between 1.5 and 2.5 µM in the upper 110 m of the water column, decreased to 0.22 µM at 180 m and increased to 2.7 µM at 430 m (deepest sample). Silicate ranged between 25 and 38 µM in the upper 110 m of the water column, decreased to 7.4 µM at 180 m, and increased to 38.9 µM at 430 m. H2S was detectable below 180 m, with the highest concentration (3.97 µM) at 250 m and the lowest (0.04 µM) between 300 and 350 m (Fig. 2b).

## 3.2 Particulate organic matter concentration in the water column

Chl a concentration in the upper 10 m was slightly higher in GB (1.5–1.7 µg L−1; Fig. 3b) than in LD (1.4–1.2 µg L−1; Fig. 3e). At both stations, more than 90 % of the total smaller phytoplankton (<20µm, picophytoplankton and nanophytoplankton) abundance, determined by flow cytometry, was measured in the upper 60 m, although phytoplankton was detectable in the entire water column. Picophytoplankton and nanophytoplankton abundances were 10 % higher in GB than in LD (Table 2). Picocyanobacteria determined by phycoerythrin fluorescence accounted for 92 % and 96 % of the total picophytoplankton abundance in GB and LD, respectively. Picocyanobacteria abundance was 30 % higher in GB than in LD.

Figure 3Vertical profiles of the concentration of particulate organic carbon (POC), particulate nitrogen (PN) and particulate organic phosphorus (POP) in GB (a) and LD (d); vertical profiles of the concentration of chlorophyll a (Chl a) and biogenic silicate (BSi) in GB (b) and LD (d); and vertical profiles of the concentration of transparent exopolymeric particles (TEPs) and Coomassie stainable particles (CSPs) in GB (c) and LD (f). Grey lines as Fig. 2.

Phytoplankton (>5µm) abundance, determined by microscopy, was 63 % higher in LD than in GB (Table 3). Filamentous cyanobacteria dominated the phytoplankton community at both stations with up to 90 % corresponding to Aphanizomenon sp. Cyanobacteria represented 56 % of the phytoplankton counts in GB and up to 74 % in LD. Dinoflagellates (including mixotrophs), dominated by Dinophysis sp., were significant at both stations (19 % of the phytoplankton counts), whereas chlorophytes (dominated by filaments of Planctonema sp. containing cylindrical cells) were more abundant in GB than in LD (25 % and 4 % of the phytoplankton counts, respectively). Diatoms represented less than 1 % of the phytoplankton at both stations, and they were slightly more abundant at 40 m in LD (Table 3). BSi was higher in the upper 10 m (0.4–0.5 µM) and decreased with depth in GB (Fig. 3b), whereas in LD, BSi showed a peak at 40 m and then decreased with depth (Fig. 3e).

Vertical profiles of POC, PN and POP concentration were similar in the water column of the two stations (Fig. 3a, d). In GB, the concentrations were higher in the upper 10 m of the water column (POC: 40.38±0.80, PN: 3.89±0.01, POP: 0.26±0.04µM) and decreased gradually with depth until 110 m where relatively high concentrations (POC: 18±0.63, PN: 2±0.08, POP: 0.2 µM) were observed. The lowest concentrations were found at 180 m (POC: 11.97±1.03, PN: 1.05±0.02, and POP <0.03µM) (Fig. 3a). In LD, POM decreased with depth from the surface (POC: 35±0.99, PN: 4±0.09, POP: 0.2 µM) to 40 m, remained relatively constant between 40 and 80 m, and decreased again between 110 and 250 m (Fig. 3d).

We observed high concentrations of TEPs and CSPs in the upper 10 m at both stations. The highest TEP concentration was determined at 1 and 10 m at both stations, and it was slightly higher (19 %) in GB than in LD (Fig. 3c, f). TEP and CSP vertical profiles were different from each other in GB (Fig. 3c) and covaried in LD (Fig. 3f). Like observed for POC, PN and POP, TEP concentrations showed a peak at 110 m (50.29±6.17µg XG eq. L−1) in GB. The highest concentration of CSPs at this station was observed in the shallowest (1 m) sample; the CSP concentration decreased quickly below 10 m, and then it increased at 140 and 220 m (the deepest sample, approximately 28 m above the seafloor) (Fig. 3c). In LD, the highest concentrations of TEPs and CSPs were measured at the surface (1 and 10 m) and at 110 m (Fig. 3f). TEPs and CSPs decreased with depth in the first 80 m (from 53.26±7.10 to 18.39±4.57µg XG eq. L−1 and from 53.26±7.10 to 31.57±18.78µg BSA eq. L−1). Both types of gel-like particles showed an increase in concentration at 110 m (49.25±4.08µg XG eq. L−1 and 66.89±22.33µg BSA eq. L−1, respectively). Below 110 m, TEP concentrations stayed relatively constant, while CSP concentrations decreased at 180 m and remained relatively constant below that depth.

## 3.3 MnOx-like particle vertical distribution in the water column

Dark, star-shaped MnOx-like particles (Glockzin et al., 2014; Neretin et al., 2003) were only observed below the fully oxygenated mixed layer in GB and, in less abundance, in LD (Fig. 4). In GB, MnOx-like particles were observed from 80 to 220 m; they appear as single particles and forming large aggregates containing several MnOx-like particles associated with OM. Relatively high concentrations of MnOx-like particles (2×106 particles L−1) were observed in the upper (80 m, 25 µM O2) and lower (140 m, 36 µM O2) oxycline and at 220 m (79 µM O2; 4×106 particles L−1) (Fig. 4a). The lowest abundance of MnOx-like particles (7×105 particles L−1) was observed at 110 m (6 µM O2), i.e., in the core of the OMZ. The equivalent spherical diameter (ESD) of MnOx-like particles varied between 0.6 and 30.5 µm, with a median size of 3.0 µm. The largest aggregates (up to 30.5 µm) were observed in the upper oxycline (80 m). In LD, MnOx-like particles were less abundant, smaller and had a narrow distribution in the water column than in GB. MnOx-like particles were not detected in the fully oxic (0–40 m) or fully anoxic (180 to 430 m) water column. At 60 m (135 µM O2), right above the oxycline, MnOx-like particles began to appear, but in relatively low abundance. The maximum abundance of MnOx-like particles, 9×105 L−1, was observed in the oxycline at 70 m (27 µM O2, Fig. 4b). The ESD ranged between 0.6 and 13.4 µm, and the largest aggregates were observed at 70 m.

Figure 4Vertical profiles of MnOx-like particles and O2 concentration in the water column at the location of the sediment trap deployments. (a) GB and (b) LD. Grey lines as in Fig. 3.

## 3.4 Vertical flux of sinking particles

Vertical fluxes of POC and PN varied little with depth in GB (Fig. 5a). POC flux slightly increased by 18 % from the shallowest (40 m) to the deepest (180 m) sediment trap. Fluxes of PN (Fig. 5a) and CSPs (Fig. 6b) were higher at 40 and 60 m and decreased (19 % and 70 %) from 60 to 180 m, respectively. On the other hand, fluxes of POP, BSi, Chl a (Fig. 5b) and TEPs (Fig. 6a) peaked in the sediment trap located in the core of the OMZ (110 m). The increment of fluxes at 110 m coincided with the high abundance of MnOx-like particles associated with TEPs (Fig. 6a). In addition, TEP size distribution, determined by image analysis, indicated an increase in large TEPs at 110 m (data not shown). In contrast, in LD, POC, PN (Fig. 5c) and CSP (Fig. 6d) fluxes steadily decreased with depth by 28 %, 42 % and 56 % from 40 to 180 m. Similar to the fluxes measured in GB, the POP, BSi (Fig. 5d) and TEPs (Fig. 6c) showed a smaller peak in the sediment trap located at 110 m.

Figure 5Vertical fluxes of particulate organic carbon (POC) and particulate nitrogen (PN) as well as oxygen concentration in GB (a) and LD (c). Vertical fluxes of particulate organic phosphorus (POP), biogenic silica (BSi) and chlorophyll a (Chl a) in GB (b) and LD (d).

MnOx-like particles were drastically less abundant in sediment trap samples from LD than in GB, and when present, they appeared as single particles, not aggregated with TEPs or CSPs (Fig. 6c, d). At both stations, and similar to the water column samples, MnOx-like particles were not observed in sediment trap samples collected in fully oxygenated waters (40 and 60 m). The flux of MnOx-like particles at 110 and 180 m was 2 orders of magnitude larger in GB than in LD (Table 4). In GB, MnOx-like particles occurred as single particles as well as aggregates with each other and OM such as TEPs and CSPs (Fig. 6a, b, and e), phytoplankton cells, or detrital material. The ESD of MnOx-like particles and aggregates collected in the traps ranged from 0.6 to 167 µm (median 2.8 µm) at 110 m and from 0.6 to 153 µm (median 3.3 µm) at 180 m. In LD, only a few single MnOx-like particles were observed at 110 m (Fig. 6c, d), and their size ranged from 0.6 to 16.5 mm (median 1.8) (Table 4).

Table 4MnOx-like particle fluxes and size as equivalent spherical diameter (ESD) determined by image analysis in GB and LD.

Figure 6TEP and CSP fluxes in GB (a, b) and LD (c, d). In addition to vertical fluxes, each profile is complemented with microscopic images (200×) of material collected at each depth. In GB, star-shaped MnOx-like particles are clearly visible as single particles and forming aggregates with TEPs (a) and CSPs (b). MnOx-like particles were less abundant in LD (c, d). (f) A larger magnification (400×) image of MnOx-like particles at 110 m showing more detail on the shape of particles and aggregates formed with TEPs.

TAA flux ranged from 371±12 to 501±33µmol m−2 d−1 in GB and from 502±84 to 785±54µmol m−2 d−1 in LD (Fig. 7a). In GB, the flux steadily decreased from the surface to depth, whereas in LD the TAA flux at 40 m was lower than at 60 m and decreased with depth from 60 to 180 m (Fig. 7b). The vertical profile of TCHO flux was similar at both stations, although the magnitude of the flux was higher at LD. The TCHO flux varied between 303±8 and 428±14µmol m−2 d−1 in GB (Fig. 7a) and between 503±19 and 584±8µmol m−2 d−1 in LD (Fig. 7b). At both stations, TCHO fluxes increased from 40 to 110 m, where the highest flux was measured, and then it decreased at 180 m.

Figure 7Vertical fluxes of total hydrolyzable amino acids (TAAs) and total carbohydrates (TCHOs) as well as oxygen concentration in (a) GB and (b) LD.

## 3.5 Chemical composition of sinking and suspended particles

Comparing molar elemental ratios of sinking (from sediment trap material) and suspended (from water column) particles to the revisited Redfield ratio for living plankton ($\mathrm{106}\mathrm{C}:\mathrm{16}\mathrm{N}:\mathrm{15}\mathrm{Si}:\mathrm{P}$; Redfield et al., 1963; Brzezinski, 1985), our results showed that the POC : PN ratio of sinking particles was slightly above this ratio at both stations. The POC : PN ratios of sinking particles in GB and LD were not significantly different. In GB, however, ratios increased with depth from 9.8 to 12.6, while in LD they varied between 11.1 and 15.4 without a clear trend with depth. The POC : POP ratio of sinking particles was lower (p<0.05; Mann–Whitney U test) in GB (90.1–244) than in LD (230–772) with the highest value observed at 40 m and the lowest at 110 m. At both stations the POC : BSi ratios varied between 1.7 and 4.2, and PN : BSi ratios varied between 0.2 and 0.4; the lowest values were observed at 110 m (Table 5).

Table 5Amino acids (AAa), carbohydrates (CHOs), elemental molar ratios and amino-acid-based degradation index of sinking and suspended particles in GB and in LD.

Contrastingly, in suspended particles, POC : PN ratios were higher in GB than in LD (p<0.001). In GB, they varied between 8.4 and 12 without a clear trend with depth, while in LD, they decreased with depth from 8.7 (at 1 m) to 6.2 (at 400 m), and a slightly higher value of 7.8 was observed at 430 m.

The POC : PN and POC : POP ratios were significantly higher (p<0.01) in sinking than in suspended particles (Table 5). The POC : BSi and the PN : BSi ratios were much lower in sinking than in suspended particles at both stations (GB: p<0.05; LD: p<0.01). In sinking particles, the POC : BSi ratio was below the Redfield ratio of 7, whereas it was 1 to 2 orders of magnitude higher in suspended particles (Table 5). The PN : POP ratio was significantly lower in sinking (0.15–0.43) than in suspended particles (9.7–44.5) at both stations (p<0.001). In sinking particles, it was always below the Redfield ratio of 16, while in suspended particles, it was in the range of the Redfield ratio in the upper 80 m in GB and always above in LD.

At both stations, the contribution of AA to POC was more significant in sinking than in suspended particles. Similarly, the carbon contained in TCHOs made up a larger percentage in sinking than in suspended particles (Table 5). The amino-acid-based degradation index (DI; Dauwe et al., 1999) varied from 0.1 to 1.14 in sinking OM and was higher than in suspended OM (−1.25 to −0.42) at both stations. In sinking OM, the DI decreased with depth in GB, whereas in LD, there was not a clear trend with depth (Table 5). The DI was higher in GB than in LD in sinking as well as in suspended OM.

4 Discussion

In this study, we (1) characterized the biogeochemistry of the water column and the sinking particles in GB and LD, during early summer 2015, and (2) determined the vertical flux of sinking particles in two deep basins of the Baltic Sea. Our results suggested that the intrusion of oxygenated water to GB, as a consequence of the 2014–2015 MBI, caused changes in the water chemistry that affected the chemical composition and degradation stage of the sinking and suspended particles. Consequently, the composition and magnitude of the sinking particle flux were different in GB and LD.

## 4.1 Physical and biogeochemical conditions in GB and LD

In general, physical and biogeochemical conditions (temperature, salinity, O2 and inorganic nutrient concentrations) were similar in the euphotic zone of both stations. Moreover, though there were slight differences between the stations concerning phytoplankton abundance and composition, as well as the concentration and chemical composition of POM, in the surface water column, those were not significant. The concentration of Chl a (Fig. 3) and the abundance of picoplankton and nanophytoplankton (Table 2) were slightly higher (20 % and 10 %, respectively) in GB than in LD. This agrees with estimates of integrated total primary production (PP), which were 10 % higher in GB (380 mg C m−2 d−1) than in LD (334 mg C m−2 d−1; Piontek et al., unpublished). At both stations, the abundance of picophytoplankton (<2µm) was an order of magnitude higher than nanoplankton (Table 2). These findings coincided with what was described previously for early summer in the Baltic Sea, indicating that during this period productivity is sustained mostly by picophytoplankton and nanophytoplankton communities (Leppanen et al., 1994) that coexisted with cyanobacteria and other phytoplankton species (Kreus et al., 2015). Microscopic analysis, on the other hand, indicated that phytoplankton (>5µm) abundance was 47 % higher in LD than in GB. At both stations, filamentous cyanobacteria (>90 % Aphanizomenon sp.) were numerically the predominant phytoplankton type (55 % and 74 % of the phytoplankton counts in GB and LD, respectively); dinoflagellates (including mixotrophs) correspond to 20 %, and diatoms correspond to >1 % of the phytoplankton abundance in the upper 40 m (Table 3). Diatoms were slightly higher in LD than in GB, and this coincided with a small peak in BSi concentration (1.5 µM, Fig. 3e) at 40 m in LD. Although at both stations the diatom proportion from the total phytoplankton abundance was negligible, they could make a difference in the composition of sinking particles leaving the euphotic zone in LD due to the selective aggregation of diatoms (Passow et al., 1991); however, at both stations sinking particles showed a similar enrichment in BSi. The low abundance of diatoms relative to cyanobacteria in the euphotic zone indicated that at both stations, the spring bloom was terminated and cyanobacteria were starting to build up the summer bloom that generally occurs in June–July (Kreus et al., 2015). Aphanizomenon sp. and Nodularia spumigena are known to form summer blooms, in which they accumulate at the sea surface of the thermally stratified water column (Bianchi et al., 2000; Nausch et al., 2009; Wasmund, 1997).

The concentration of particulate elements (POC, PN, POP, BSi) was slightly higher in the surface waters of GB compared to LD, while exopolymeric particles containing polysaccharide (TEPs) and protein (CSPs) were in similar abundance at both stations. TEPs and CSPs were more abundant in the euphotic zone, which supports the idea of a phytoplankton origin; however, the concentration of TEPs in this study was 69 % (in GB) and 76 % (in LD) lower than previously reported for summer in the central Baltic Sea (Engel et al., 2002). Likewise, our dissolved inorganic nitrogen concentrations were below the detection limit in the surface, while phosphate concentrations were higher (>0.3µM) than observed in the Engel et al. (2002) study. Mari and Burd (1998) reported that TEP concentration peaked during the spring bloom and in summer in the Kattegat. TEP production may be enhanced by environmental conditions, such as nutrient limitation (Mari et al., 2005; Passow, 2002), which are characteristic of late summer in the Baltic Sea (Mari and Burd 1998). In the Baltic Sea, the spring bloom (March–April) is usually followed by a period of reduced PP (Chl a∼2µg L−1) that precedes the cyanobacteria summer bloom typically observed in June–July (Kreus et al., 2015). Surface satellite-derived Chl a concentrations (MODIS) in GB constantly increase from mid-May to mid-June 2015 (Le Moigne et al., 2017); our monthly Chl a concentrations derived from VIIRS for June 2015 in the Baltic Sea (Fig. 1) showed similar Chl a concentrations. Considering this trend in Chl a concentration and the availability of phosphate in the water column, we could assume that our samples were collected at the beginning of the summer bloom (middle June). In general, ecosystem models from the Baltic Sea indicate that the termination of the summer bloom depends upon phosphate availability (Kreus et al., 2015). Thus, TEP concentrations likely had not reached the higher value previously observed after the summer bloom when inorganic nutrients were depleted. Although satellite-derived Chl a concentrations is a valuable tool to evaluate the trend of PP, the magnitude of the concentration of Chl a from remote sensing is difficult to estimate in the Baltic Sea (Darecki and Stramski, 2004). The concentrations of Chl a in GB and LD derived from direct measurements were much lower (∼1.5µg L−1), suggesting that our samples were collected during a period of low phytoplankton biomass typically observed before the summer bloom. In any case, the concentration of phosphate was not limiting the system. Another possible explanation for the rather low concentrations of TEPs could be their removal from the surface by aggregation and subsequent sedimentation during the spring bloom due to the high abundance of cells and detrital particles during this time (Engel et al., 2002) and the relatively low grazing pressure that lead to higher export after the spring bloom (Lignell et al., 1993).

Although the composition and amount of OM in the surface waters at the two trap stations were similar, below the euphotic zone (40 m) the vertical profile of nutrients and particulate matter concentrations were distinctly different, likely due to the 2014–2015 MBI (Holtermann et al., 2017) that reached the deep waters of GB. This inflow replaced the old stagnant water masses with new water masses (Schmale et al., 2016), changing the salinity in the deepest waters and the vertical distribution of O2, limiting the oxygen-deficient layer from 74 to 140 m, and ventilating the water column below 140 m. The combination of physical effects (the displacement of water masses, turbulent mixing and lateral transport) and the consequent development of redox conditions through 2015 may have impacted the distribution of MnOx-like particles and POM in GB. In addition to changes in O2 concentration, the MBI altered the redox conditions in GB by creating a secondary redoxcline at 140 m, where concentrations of O2 and MnOx-like particles increased. One consequence of those changes is the vertical extension of the layer in which MnOx-containing aggregates could form (Schmale et al., 2016); a previous study showed that MnOx might precipitate from the water column of GB following an MBI event (Lenz et al., 2015). POC and PN concentrations peaked at 110 m, and this higher concentration at 110 m was even more evident in POP and TEPs, while CSP concentration peaked at 140 m (Fig. 3); this is the first study that examines the potential role of CSPs in forming aggregates with MnOx-containing particles. The highest concentration of MnOx-like particles (Fig. 4a) in the water column was not observed at 110 m (the core of the OMZ), but at 80 m (oxycline) and below 140 m in the newly oxygenated water layers.

In contrast, LD maintained permanent suboxic (<5µM O2) waters below 74 m and H2S was detectable below 180 m. Below 100 m the vertical profiles of POM and BSi did not change with depth. The only exception was TEP and CSP concentration that, similar to in GB, peaked at 110 m and MnOx-like particles showed a small increment at 70 m (in the oxycline). This suggests that, similar to the results of Glockzin et al. (2014), the MnOx-like particles abundant in the oxycline may form sinking aggregates with TEPs and CSPs; then, when those aggregates sunk to anoxic waters (below 74 m), the MnOx-like particles may have dissolved, releasing TEPs and CSPs to the water column where CSP concentration decreased quickly, likely due to microbial degradation, but the concentration of TEPs remained constant to the bottom of LD.

MBIs can have a significant impact on nutrient recycling. In GB the nitrate concentration increased, possibly as a consequence of the oxidation of reduced nitrogen compounds (e.g., ammonium, ammonia and organic nitrogen compounds like urea) (Le Moigne et al., 2017) that accumulated during the stagnation (anoxic) period prior to the MBI (Hannig et al., 2007). Scavenging of phosphate onto Mn or Fe oxides has been shown in previous studies (Neretin et al., 2003). Phosphate can bind to Fe hydroxides and MnOx and settle down during oxic conditions, building up a phosphate pool in the sediments that later, when the O2 decreases, may become a source of phosphate (Gustafsson and Stigebrandt, 2007). Moreover, Myllykangas et al. (2017) reported that the new water masses intruded during the 2014–2015 MBI displaced the stagnant water masses in GB. Thus, the low concentrations of silicate and phosphate that we measured in the deep waters of GB may also be a direct consequence of the intrusion of oxygenated, low-nutrient waters associated with the MBI. In contrast, in LD, the water column remained anoxic down to the seafloor (430 m), and below the oxycline an increase in ammonium was observed (Fig. 2b), which could be an indicator for the anaerobic respiration of OM, e.g., denitrification (Bonaglia et al., 2016; Hietanen et al., 2012).

In summary, though GB and LD had similar surface conditions in terms of phytoplankton production and POM stocks, during this study, we found differences in the vertical concentration of nutrients (Fig. 2) and POM (Fig. 3) between GB, ventilated by the MBI, and LD, a station that remained suboxic. Our results suggest that the MBI caused differences in the vertical profile of O2 that modified the redox conditions of the water column and enhanced the in situ formation of MnOx-like particles (Fig. 4). Alternatively, the inflow may transport new MnOx-like particles to GB. Those abundant MnOx-like particles may aggregate with POM in GB, influencing the vertical distribution of POM in the water column.

## 4.2 Potential influence of O2 concentration and redox conditions on vertical flux of sinking particles in GB and LD

During this study, we also investigated the effect of different O2 concentrations and redox conditions on the fluxes of particles. Our measurements of POC flux at 40 m, below the euphotic zone, were 11.7±0.82 mmol C m−2 d−1 in GB and 19.8±1.22 mmol C m−2 d−1 in LD. Extrapolating those measurements to annual flux, we obtain 4.37±0.31 mol C m−2 yr−1 in GB and 7.44±0.46 mol C m−2 yr−1 in LD. Our results from GB are in the same range as the estimation derived from a biogeochemical model; i.e., 3.8–4.2 mol C m−2 yr−1 (Kreus et al., 2015; Sandberg et al., 2000; Stigebrandt, 1991) for the Baltic Sea. However, our results from LD are higher than the annual POC fluxes predicted by those models. The high POC flux observed in this study is not surprising since it represented one (in LD) and two (in GB) days in June when the POC vertical flux out of the euphotic zone is relatively high in the Baltic Sea compared with late fall and winter. The biogeochemical model by Markus Kreus (personal communication, 2015) estimated that POC flux in June ranged between 8 and 13 mmol m−2 d−1; this is in the same range as our observations.

One of the main advantages of our sediment traps is that we can study the flux of sinking particles at various depths simultaneously (i.e., higher vertical resolution). Therefore, we measured the POM flux in oxic waters (40 m and 60 (55) m) at the core of the OMZ (110 m) and at 180 m in both basins. Traps located at 180 m of depth collected particles in sulfidic waters at LD and in recently oxygenated waters (affected by the MBI) in GB. The vertical flux of POM and BSi was different at the two studied basins; for example, POC flux was between 25 % and 40 % higher in the upper 110 m of the LD than in GB (even though the PP was 10 % higher in GB). However, the POC fluxes at 180 m (deepest trap) were similar in both basins, indicating a substantial decrease in the POC flux between 110 and 180 m at the LD. The POC flux (and the PN flux, which showed a similar vertical profile) did not decrease with depth in the GB. In contrast, in the LD there was a reduction of 17 % and 16 % of the POC flux from 40 and 60 m (in the oxycline) and from 110 to 180 m, respectively; the POC flux did not change from 60 to 110 m when a large section of the water column was suboxic (O2<5µM from 74 m to the bottom of the station). From 110 to 180 m the water column was completely anoxic, and H2S was detectable at 180 m. The high flux of POC at GB coincided with the appearance of dark, star-shaped particles that we defined as MnOx-like particles, particularly evident at GB (Fig. 6a, b, e), but also present in LD. Based on their morphology, size and aggregation with OM, we propose that those particles correspond to MnOx-containing particles enriched in OM that have been previously described at GB (Neretin et al., 2003; Pohl et al., 2004; Glockzin et al., 2014; Dellwig et al., 2010, 2018) and LD (Glockzin et al., 2014; Dellwig et al., 2010). The higher flux of MnOx-like particles in GB than in LD is probably due to the oxygenation and changes in the deep water redox conditions that enhance the formation of MnOx-like particles associated with OM. This suggests that the reduction of the POC flux below 110 m in the LD may be related to the O2 depletion and the absence of MnOx–OM aggregates in the anoxic zone.

The POP flux was similar in the oxic water column (up to 60 m) in both basins; however, it was almost 2 and 3 times higher at 110 and 180 m, respectively, in GB than in LD. A peak in the POP and BSi flux was observed at 110 m in both basins, but the magnitude of the increment was much higher in GB than in LD. In GB the POP flux increased 62 % from 60 to 110 m (OMZ) and then decreased by 28 % from 110 to 180 m. Vertical fluxes of POP, BSi and Chl a (Fig. 5) were enhanced at 110 m, which coincided with the high flux of MnOx-like particles. This high flux of MnOx-like particles is maintained at 180 m, while the POP, BSi and Chl a flux decreased at this depth. This vertical distribution is likely due to the enhanced formation of MnOx-like particles in the hypoxic layer (<40µM O2) located between 74 and 140 m that may scavenge POP and aggregate with cells or phytodetritus containing BSi and Chl a. Although the POP flux peaked at 110 m in LD as well, the increment was only 30 % from 60 m (suboxic) to 110 m (anoxic), and it decreased by 78 % from 110 to 180 m (sulfidic waters); these variations with depth were also observed in the BSi flux. In LD, the flux and size of MnOx-like particles were much smaller than in GB, and they were more abundant at 110 m than at 180 m.

Similar to the vertical distribution of POM in the water column discussed in Sect. 4.1, differences in POM and BSi fluxes between basins are likely associated with the large inflow of oxygen-rich saltwater that displaced the old stagnant water masses and changed the chemistry of the water column (Myllykangas et al., 2017). Under euxinic conditions (e.i., scenario observed in LD without the influence of the MBI), the maximum concentration of particulate Mn is found in the oxycline (Glockzin et al., 2014). Below the oxycline, and due to the presence of H2S, the particulate Mn concentration decreased drastically. During this study, we observed a high concentration of MnOx-like particles at 110 and 180 m (Table 5) in GB, in agreement with the high flux of particulate Mn measured in sediment traps located at 186 m in June 2015 (Dellwig et al., 2018). The oxygenation of the deep water layers of GB by the MBI caused the absence of H2S (Schmale et al., 2016) and provided redox conditions favorable for the formation of MnOx, resulting in the high MnOx-like particle fluxes measured in the sediment trap located in the core of the OMZ (110 m) and at 180 m (oxygenated deep water). There were two possible sources of MnOx associated with the 2014–2015 MBI in GB: the lateral transport of low-density aggregates formed by MnOx and OM (Glockzin et al., 2014) and the in situ formation and deposition of MnOx following the oxygenation of the water column (Dellwig et al., 2018). In clear contrast to the oxygenated deep layers of GB, in LD, we measured H2S below 180 m; this could explain why although those aggregates were present in this station at 110 m, they may dissolve in sulfidic waters and thus were not as abundant and did not form aggregates with TEPs (Fig. 6c).

The presence of MnOx-like particles in aggregates (Fig. 6a) may have implications for the vertical flux of POC, PN and POP in a stratified system with a pelagic redoxcline like the Baltic Sea. Under steady state, the upward diffusion and oxidation rates of the dissolved Mn are balanced by the sinking and dissolution rates of MnOx. During Mn oxidation, the MnOx could aggregate with POM and trace metals. Then, in the sulfidic waters, slow-sinking MnOx enriched in OM will be dissolved, liberating the OM and altering the vertical distribution and the flux of all associated particle elements (Glockzin et al., 2014). This has been previously observed in other anoxic basins; for example, in the Cariaco Basin, total particulate phosphorus reached a maximum flux in sediment traps close to the redoxcline (Benitez-Nelson et al., 2004, 2007). Moreover, even in the anoxic zone, the abundant aggregate-associated bacteria (Grossart et al., 2006) could partially or entirely degrade the organic compounds in particles using ${\mathrm{NO}}_{\mathrm{3}}^{-}$ or MnOx as an electron acceptor. This may explain why we observed a clear peak in the vertical fluxes of POP, BSi, Chl a (Fig. 3a, b), TEPs (Fig. 6a) and TCHOs (Fig. 7a) at 110 m, followed by a small decrease at 180 m in GB. In LD a smaller increment in the vertical fluxes of POP, BSi (Fig. 3d), TEPs (Fig. 6c) and TCHOs (Fig. 7b) was also observed. The vertical fluxes of those compounds coincided with the abundance of MnOx-like particles; we assume that the MnOx aggregated not only with TEPs as described before (Glockzin et al. 2014) and observed in this study (Fig. 6a), but also with aggregates containing phytoplankton cells and phytodetritus that may enhance POP, BSi, Chl a and TCHO export. On the other hand, nitrogen-rich components of POM like PN (Fig. 3a), TAA (Fig. 7a) and CSPs (Fig. 6a) gradually decreased with depth in GB, suggesting that those compounds were less scavenged by MnOx–OM-rich aggregates.

PP in GB was 10 % higher than in LD during our study (Piontek et al., unpublished data). However, the POC flux below the euphotic zone (at 40 m) was 42 % higher in LD than in GB and comparable at both stations at 180 m. The fraction of PP exported as POC is termed export production (the e ratio) (Buesseler et al., 1992), and it is calculated as the POC flux below the euphotic zone divided by the PP. We calculated the e ratio using 14C-based PP measurements (Piontek et al., unpublished data) and carbon flux at 40 m (shallowest sediment trap depth considered at the base of the euphotic zone). The e ratio was larger in LD (0.77) compared to GB (0.41); i.e., the percentage of the PP exported as POC below the euphotic zone was 77 % in LD versus 41 % in GB. This suggests that either a higher proportion of the PP was remineralized in the euphotic zone of GB compared with LD, or particles were sinking faster in LD than in GB, likely due to differences in composition. On the other hand, the transfer efficiency of POC to the deeper water column (i.e., the ratio of POC flux at 180 m over POC flux at 40 m) was higher in GB (115 %) than in LD (69 %). The transfer efficiency of POM is largely controlled by the remineralization rate and the sinking velocity of particles (De La Rocha and Passow, 2007; McDonnell et al., 2015; Trull et al., 2008). The higher POC transfer efficiency in GB than in LD can be attributable to differences in the sinking velocities of the particles at those two stations. Particulate MnOx may sink through the redoxcline in GB (Neretin et al., 2003), acting as ballast material and a nucleus for MnOx–OM-rich aggregate formation. Those aggregates could have sunk more quickly, limiting the time spent in the water column and the degradation by particle-attached microbes. Assuming that MnOx-like particles had a density between 1.5 and 2.0 g cm−3 (Glockzin et al., 2014), the largest particles measured at GB (167 µm, Table 4) will have a sinking velocity based on Stokes' law between 508 and 1014 m d−1. If we consider a mixed aggregate that is 50 % TEPs (density 0.9 g cm−3) (Azetsu-Scott and Passow, 2004) and 50 % MnOx (density 1.5 g cm−3), its density would be 1.2 g cm−3, and its theoretical sinking velocity will be 204 m d−1. This indicates that, theoretically, the largest mixed aggregates composed of MnOx and TEPs observed in GB could reach 180 m (the location of our deepest sediment trap) in less than 1 day. However, the average measured sinking velocity of MnOx-containing particles in the laboratory for particles between 2 and 20 µm was 0.76 m d−1, which is significantly lower than the theoretical value (Glockzin et al., 2014). Glockzin et al. (2014) suggested that the star shape and the content of OM were responsible for the lower-than-predicted sinking velocity. There is no information about the amount of OM relative to MnOx-containing particles in those mixed aggregates or how the MnOx-to-OM ratio may affect the density and sinking velocity of larger aggregates like the ones we observed. Due to the shape and size of MnOx–OM aggregates observed in our study (Fig. 6e), we could assume those are the same type of aggregates described before by Glockzin et al. (2014). Although we did not measure the sinking velocity of those aggregates, we did observe a higher abundance of them associated with TEPs at 110 and 180 m in GB than in LD. Thus, the formation of MnOx aggregates rich in OM could represent an additional mechanism (see the Introduction) to explain why the efficiency of OM export is different under anoxic than under oxic conditions in the Baltic Sea. The oxygenation of anoxic deep water in GB caused by the 2014–2015 MBI may have led to enhanced precipitation of manganese, iron and phosphorus particles (Dellwig et al., 2010, 2018). For example, the formation of P-rich metal oxide precipitates occurs in the anoxic waters of the Black Sea (Shaffer, 1986) and Cariaco Basin (Benitez-Nelson et al., 2004, 2007) where higher concentrations of particulate inorganic and organic phosphorus have been observed in sediment traps close to the redoxcline.

Alternatively, BSi could also act as ballast material incrementing the sinking velocity of marine aggregates (Armstrong et al., 2002; Klaas and Archer, 2002). Our results showed that sinking particles were strongly enriched in BSi relatively to C and N and compared to suspended particles that were depleted in BSi (Table 5). Diatoms are the major phytoplankton group that produces BSi to build their cell walls (Martin-Jézéquel et al., 2000), and they are the dominant phytoplankton species during the spring bloom. However, during our study, diatoms represented less than 1 % of the phytoplankton abundance in the water column, and even though there was a strong enrichment in BSi in the sinking particles, this was similar in GB and LD (Table 5). Therefore, neither the differences in export production nor in transfer efficiency between GB and LD could be solely explained by the amount of diatoms cells, phytodetritus or BSi in sinking particles at the two basins.

## 4.3 Differences in composition and lability of sinking and suspended organic matter in GB and LD

In the sections above we compared the biogeochemical conditions and the size of the POM pool in the euphotic zone of GB and LD. We then looked at how the sinking flux of OM was affected by the different O2 concentrations in the water column. Now, we focus on the influence of O2 in the chemical composition of sinking and suspended particles. Suspended or slow-sinking particles that spend more time in the water column should theoretically show a more substantial degree of degradation (Goutx et al., 2007) relative to the Redfield molar ratio: 106 POC : 16 PN : 15 BSi : POP. POM showed enrichment in POC relative to PN and POP, especially in sinking particles from LD and suspended particles from GB. Our measured values of POC : PN (∼10) and POC : POP (between 89 and 506) in suspended OM coincide with the simulated ratio reported immediately after the culmination of the spring bloom by Kreus et al. (2015). The same study had suggested that POC : POP higher than the Redfield ratio might lead to an enhancement of particle export (Kreus et al., 2015); however, no direct observations had confirmed this hypothesis. Our measurements showed that the relative higher POC : POP ratios in sinking OM from LD, compared with GB, do not lead to a higher transfer efficiency at this station. Compared to the suspended OM in LD, the POP content was lower in GB, possibly related to scavenging of POP into MnOx aggregates (see Sect. 3.4).

In addition, at both stations, sinking particles were strongly enriched in BSi (Table 5), probably due to the preferential sinking of diatoms and remnant diatom-rich detritus from the spring bloom. Differently, suspended particles had a relatively low content of BSi; this is not surprising considering the small proportions of diatoms in the euphotic zone at the time of our sampling. The concentration of BSi decreased below the detection limit from 60 m in the GB and 70 m in the LD. This observation coincides with previous studies reporting the selective incorporation of diatoms into sinking aggregates in the Baltic Sea (Engel et al., 2002; Passow, 1991), whereas non-diatom species, although they may be abundant in the suspended phytoplankton, may not be present in sinking particles (Passow, 1991).

Another explanation for higher BSi content in sinking particles may be the inclusion of lithogenic Si in our measurements; lithogenic Si may have been present in the water column or transported by laterally adverted material. A recent study suggests that contributions of non-biogenic sources could be significant during alkaline extraction (Barão et al., 2015). The even more substantial enrichment in BSi observed in sinking particles from 110 m in both basins may result from adsorption and/or coprecipitation of silica in sinking particles containing MnOx (Dellwig et al., 2010; Hartmann, 1985) or from the formation of aggregates that are enriched in MnOx as well as in phytodetritus of diatom origin.

The TAA-based degradation index, DI (Dauwe et al. 1999), covers a wide range of alteration stages; the more negative the DI, the more degraded the samples, and positive DI indicates fresh organic matter. In our study, the sediment trap material had a DI between 0.10 and 1.14, while suspended OM has a DI between −0.26 and −1.25 (Table 5). These values coincide with what was reported earlier by Dauwe et al. (1999) and indicate that, first, the sinking particles collected in the sediment traps were less altered (they have a more positive DI) than the suspended OM collected in the Niskin bottle. Second, sinking particles from GB were fresher than the ones from LD, and the degradation stage increased with depth at both stations. The higher contribution of AA and CHO to the POC pool in sinking than in suspended OM and the AA-DI indicates that suspended OM was more degraded than sinking OM. The highest degree of degradation in suspended OM and sinking OM from LD may be the result of a long time that light-suspended OM or slow-sinking particles spend exposed to degradation in fully oxygenated surface waters than dense, fast-sinking particles collected in sediment traps.

The higher abundance of aggregates, formed by a combination of MnOx-like particles and OM, observed at 110 and 180 m in GB could act as bacteria hot spots that, combined with a higher O2 concentration in GB, may increase the microbial degradation on sinking particles collected in GB. However, the AA-DI indicated that sinking OM was less altered and therefore more labile than the sinking OM in LD. This implied that in addition to the higher transfer efficiency of POC in GB (see discussion above), the OM reaching the seafloor was fresher and less degraded. This supports the idea that mixed aggregates composed of MnOx and OM may be larger and faster sinking than previously described by Glockzin et al. (2014). This explanation is mostly speculative and based on the observation of large mixed aggregates in the 110 and 180 m traps (Fig. 6, Table 4). However, as mentioned in the previous section, further work on directly determining sinking velocity is required to prove this hypothesis.

5 Conclusions

The fluxes and composition of sinking particles were different in two deep basins in the Baltic Sea (GB and LD) during early summer 2015. The two stations had similar surface characteristics and POM stock; however, at depth, the vertical profile of the POM concentration, as well as the vertical flux of sinking particles, was different, likely related to differences in the O2 concentration. The 2014–2015 MBI supplied oxygen-rich waters to GB, transporting solid material from shallower areas and modifying the O2 vertical profile and the redox conditions in the otherwise permanent suboxic deep waters. This event did not affect LD, allowing for the comparison of POM fluxes and composition under two different O2 concentrations with similar surface water conditions. Export efficiency (e ratio) derived from in situ PP measurements and POC flux derived from sediment traps indicated higher export efficiency in LD than in GB. However, the transfer efficiency (POC flux at 180 m over POC flux at 40 m) suggested that under the anoxic conditions found in LD, a smaller portion of the POC exported below the euphotic zone was transferred to 180 m than under the oxygenated conditions present in GB. The MBIs also transport solid Mn from shallower areas towards GB that may have contributed to the higher abundance of MnOx–OM in GB. Our results suggest that a new possible mechanism to explain the differences in OM fluxes under different O2 concentrations could be the formation and prevalence of aggregates composed of MnOx and organic matter in GB. Those aggregates were significantly larger and more abundant in GB compared to LD where sulfidic waters constrained their presence. Our results indicate that at GB not only a higher proportion of the POM leaving the euphotic zone reached our deepest sediment trap, but also that this POM was fresher and less degraded. We propose that after an MBI in GB, aggregates containing MnOx-like particles and organic matter could have reached the sediments relatively fast and unaltered, scavenging not only phosphorus and TEPs, as described previously, but also other compounds like BSi, POP and CSPs. The higher fraction of sinking particles exported below the euphotic zone and reaching 180 m in GB suggests that at this station a significant fraction of the POM could reach the sediments, 50 m below our deepest sediment trap, relatively unaltered. The remineralization of the organic matter reaching the sediments may contribute to the quick reestablishment of anoxic conditions in the sediment–water interface in GB. The relevance of this process needs to be further investigated in order to be included in O2 budget and long-term predictions of the MBI impact on O2 and OM cycles.

Data availability
Data availability.

All data will become available at https://doi.org/10.1594/PANGAEA.898738 upon publication.

Author contributions
Author contributions.

CCN designed and performed the sediment trap work at sea, analyzed samples, and wrote the paper. FACLM designed and performed the sediment trap work at sea and contributed to the writing of the paper. AE designed and participated in the scientific program at sea and discussed and commented on the paper.

Competing interests
Competing interests.

The authors declare that they have no conflict of interest.

Acknowledgements
Acknowledgements.

This research was supported by the DFG Collaborative Research Center 754 “Climate-Biogeochemistry Interactions in the Tropical Ocean” (to Anja Engel, Carolina Cisternas-Novoa and Frédéric A. C. Le Moigne), by a Fellowship of the Excellence Cluster “The Future Ocean” (CP1403 to Frédéric A. C. Le Moigne), and by a DAAD short-term grant (57130097 to Carolina Cisternas-Novoa). We thank Jon Roa, Tania Klüver, Scarlett Sett, Angela Stippkugel, Carola Wagner, Clarissa Karthäuser, Moritz Ehrlich, Sonja Endres, Hannes Wagner, Ruth Flerus, Sven Sturm and Christian Begler for support during trap preparation and deployments, as well as help with experiment or analyzed samples. We thank Judith Piontek for her contribution to the design of the scientific program at sea, Jaime Soto-Neira for valuable discussion and help with figure preparation, Annegret Stuhr for useful discussion about phytoplankton data, and Cindy Lee for helpful advice. We gratefully acknowledge the reviewers, Monika Nausch and Tom Jilbert, and the associated editor Marcel van der Meer for their time and effort in reviewing and editing the paper, which significantly improved this publication.

The article processing charges for this open-access
publication were covered by a Research
Centre of the Helmholtz Association.

Edited by: Marcel van der Meer
Reviewed by: Tom Jilbert and one anonymous referee

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