Abstract
Carbon mineralization processes and their dependence on environmental conditions (e.g. through macrobenthic bioturbation) have been widely studied in temperate coastal sediments, but almost nothing is known about these processes in subtropical coastal sediments. This study investigated pathways of organic carbon mineralization and associated effects of macrobenthic bioturbation in winter and summer (September 2012 and February 2014) at the SE Brazilian coast. Iron reduction (FeR) was responsible for 73â81% of total microbial carbon mineralization in September 2012 and 32â61% in February 2014. Similar high rates of FeR have only been documented a few times in coastal sediments and can be sustained by the presence of large bioturbators. Denitrification accounted for 5â27% of total microbial carbon mineralization while no SO42â reduction was detected in any season. Redox profiles suggested that conditions were less reduced in February 2014 than in September 2012, probably associated with low reactivity of the organic matter, higher rates of aerobic respiration and bioirrigation by the higher density of small-macrofauna. Bioturbation by small macrofauna may maintain the sediment oxidized in summer, while large-sized species stimulate the reoxidation of reduced compounds throughout the year. Therefore, bioturbation seems to have an important role modulating the pathways of carbon mineralization in the area.
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Introduction
Carbon (C) cycling in coastal ecosystems is controlled by microbial processes in the sediment, where most of the organic carbon is mineralized aerobically and anaerobically into CO2 and nutrients (i.e. ammonium, nitrate and phosphate). In a balanced coastal ecosystem, organic C is mineralized in the sediment under optimal biogeochemical conditions, while maintaining redox levels that allows a diverse benthic flora and fauna. The nutrients returned from the sediment to the water column may participate in new primary production1, which may be beneficial in nutrient limited areas. The rate of organic C mineralization in the sediment is controlled primarily by the organic matter input and properties (i.e. quantity, composition, reactivity), environmental conditions (i.e., sediment type, temperature, salinity, currents), availability of electron acceptors and bioturbation activity2,3.
In temperate coastal sediments, aerobic respiration and anaerobic sulfate reduction are assumed to roughly contribute with 50% each to total C mineralization4. In organic-rich areas including intertidal flats and eutrophic coastal lagoons, O2 penetrates only few mm into the sediment and sulfate reduction may account for up to 80% of total C mineralization4. Other anaerobic processes, such as denitrification and iron respiration, may be important for C oxidation in certain continental shelf areas5. Manganese respiration seems to be constrained to Mn-oxide rich sediments, where it may account for 90% of anaerobic C mineralization5.
Limited information is available on biogeochemical processes in coastal Brazilian sediments. The largest pool of the sediment organic C is labile in these areas, since the input is primarily marine and derived from diatoms, phytoflagellate and zooplankton blooms associated to upwelling and sediment resuspension events6,7,8. The microbial community has a temporal biomass variation following phytoplankton blooms and experiments with homogenized sediment have confirmed that microbial density increases markedly 24â48âh after the deposition of diatoms and phytoflagellates at the sediment surface8,9. This suggests that the sediment microbial community is dynamic and that microorganisms rapidly consume and degrade any deposited labile organic C. However, very little is known about microbial reaction rates and pathways of C mineralization.
Coastal sediments usually have a high abundance of burrowing benthic macrofauna4. The bioturbation activities of these organisms transport electron acceptors and labile organic C between oxic and anoxic zones of the sediment by burrow ventilation and particle reworking, which often accelerates the processes of organic C oxidation considerably2. The oxidized burrow walls resulting from bioirrigation (i.e. diffusion of oxidized solutes from burrow water) create microenvironments with steep gradients between reduced and oxidized compounds. These transition zones support increased microbial activities providing ideal conditions for reoxidation processes10. Important biogeochemical C oxidation reactions such as denitrification, Mn and Fe reduction are highly dependent on reoxidation and transport processes associated to bioturbation11,12. Although the dynamics of macrobenthic communities is relatively well known in coastal Brazilian sediments13,14, their bioturbation potential and effects on benthic C oxidation processes have never been quantified.
The aim of this study was to investigate total C mineralization, partitioning of dominating heterotrophic processes and the role of macrobenthic bioturbation in coastal Brazilian sediments during two contrasting seasons, i.e. winter and summer (September 2012 and February 2014, hereafter referred as September and February). Sediment cores collected at three stations from 5â12âm water depth were incubated 3â5 days in the laboratory for measurements of solute fluxes across the sediment-water interface, bioirrigation, sediment redox conditions, porewater chemistry and solid-phase sediment characteristics. Additional sediment cores were sampled for anoxic sediment incubations and quantification and identification of benthic macrofauna. A budget combining flux measurements, anaerobic incubations and metabolism of the macrobenthic community was used to assess microbial pathways involved in organic C oxidation.
Results
Bottom water O2, sediment characteristics and pigments
Bottom water O2 was partly depleted in September with lower concentrations (117â120âμM) than in February (200â213âμM) (F1,16â=â393.8, pâ<â0.001) (Supplementary Table S1). Sediment characteristics (i.e. density and porosity) were similar among stations and months, although with somewhat lower porosity in February (0.59â0.66) than September (0.70â0.74). Annual average of total organic carbon (TOC) and total nitrogen (TN) measured previously on the same stations ranged between 1â2% and 0.2%, respectively8. Median grain size varied from 13 to 58âμm with 23â83% silt+clay and tended to increase with water depth8. Sediment chlorophyll-a content in the upper 3âcm was higher in September (1.0â2.5âμg gâ1) than in February (1.0â1.2âμg gâ1) (F1, 16â=â19.4, pâ=â0.001) with St 5 reaching the highest levels (2.5â±â0.2âμg gâ1) (Supplementary Table S1). The corresponding phaeopigment concentrations were also significantly higher in September (3.4â4.5âμg gâ1) than in February (2.4â2.9âμg gâ1) (F1,16â=â21.3, pâ<â0.001), but similar among stations (Supplementary Table S1).
Fluxes of TCO2, O2 and nutrients
The average TCO2 efflux was significantly lower in September (19â23âmmol mâ2 dâ1) than in February (31â34âmmol mâ2 dâ1) (F1,56â=â31.6, pâ<â0.001; Table 1, Supplementary Table S1). A similar but more pronounced pattern was observed for O2 consumption with rates in February ranging from â32 to â35âmmol mâ2 dâ1 and in September from â9 to â12âmmol mâ2 dâ1 (F1,56â=â319.0, pâ<â0.001; Table 1). There was no significant difference in TCO2 efflux and O2 consumption among stations (Table 1, Supplementary Table S1). NH4+ exchange ranged from consumption in September (â0.1 to â1.2âmmol mâ2 dâ1) to release in February (1.1 to 1.5âmmol mâ2 dâ1), but rates were not significantly different among stations and months (Table 1). Conversely, NOxâ fluxes were significantly different between September (â0.4 to â0.6âmmol mâ2 dâ1) and February (â0.1 to 0.2âmmol mâ2 dâ1) (F1,36â=â118.2, pâ<â0.001) (Table 1, Supplementary Table S1). PO43â flux was not detected at any stations neither in September nor February.
Vertical redox profiles
Redox profiles were consistently different between September and February reflecting temporal changes in sediment conditions (Fig. 1). The profiles were steepest in September and similar among stations, with a distinct discontinuity just below the sediment surface (Fig. 1). Depth of the oxidized zone, i.e. Eh > 0âmV, was narrow and ranged from 0.07âmm at St 5 and St 7 to 0.15âmm at St 6. Redox was most negative with values of â64 and â47âmV at St 5 and St 7, respectively and â1âmV at St 6 at 1.1â1.6âmm depth. Below this negative peak, Eh increased to positive values, reaching 9â50âmV. Redox conditions were more oxidized in February and negative Eh was not detected (Fig. 1). Redox instead decreased gradually with sediment depth. Thus, St 5 had Ehâ<â200âmV below 3âmm depth while the same Eh level was reached at 2.0 and 0.6âmm depth at St 6 and St 7, respectively (Fig. 1).
Microbial reaction rates
The anoxic jar incubations showed that microbial TCO2 production in September decreased from 138â233ânmol cmâ3 dâ1 at the sediment surface to 31â83ânmol cmâ3 dâ1 at 16â18âcm depth (Fig. 2). Rates of TCO2 production at St 5 and St 6 followed the same decreasing depth pattern in February with rates from 118â145ânmol cmâ3 dâ1 at 0â2âcm to 21â24ânmol cmâ3 dâ1 at 16â18âcm depth (Fig. 2). TCO2 production at St 7, on the other hand, increased with depth reaching a maximum of 153â156ânmol cmâ3 dâ1 at 4â10âcm. NH4+ adsorption coefficients varied from 0.61 to 0.87. NH4+ production corrected for adsorption decreased in a similar pattern with depth irrespective of season and station from 18â42ânmol cmâ3 dâ1 at the surface to 3â5ânmol cmâ3 dâ1 at 16â18âcm depth, except for St 7 in February, where the highest NH4+ production of 21ânmol cmâ3 dâ1 was evident at 8â10âcm depth (Fig. 2). The depth integrated TCO2 and NH4+ production were not significantly different among stations and time. Fe reduction (FeR) in February reached high rates, particularly in the upper 10âcm at St 5 (391â646ânmol cmâ3 dâ1) (Fig. 2). St 5 and St 7 exhibited highest FeR rates of 216â469ânmol cmâ3 dâ1 at 0â10âcm depth. SO42â reduction was not detected at any of the stations during September or February.
Porewater solutes
Porewater TCO2 increased steeply in the upper 3âcm at St 5 in September and at St 7 in February, reaching a maximum of 4.3â4.4âmM (Fig. 3). At the other stations, TCO2 increased gradually from ~3âmM in the surface to ~4âmM at 18âcm depth. Porewater NH4+ showed the same overall pattern as TCO2 and increased from 32â91âμΠat the surface to 114â232âμΠat 5â10âcm depth with highest concentrations at St 7 in both September and February (Fig. 3). Furthermore, the near-surface NH4+ profiles at St 7 were steeper in February than in September. NH4+ decreased gradually below 4â8âcm sediment depth at all stations (Fig. 3). Porewater NOxâ and PO43â concentrations were generally very low varying from 1 to 4âμM and 4 to 21âμM, in September and February respectively (data not shown). Similarly, porewater SO42â varied little among the sediment intervals, stations and months (21â30âmM) (Fig. 3). Subsurface peaks of dissolved Fe2+ were evident in September with concentrations up to 35â50âμΠat 2â3âcm depth decreasing to almost zero below 8âcm depth (Fig. 3). In February, Fe2+ levels varied between 11 and 48âμΠwithout any clear depth pattern (Fig. 3). Although the porewater profiles in general varied in space and time, the depth integrated TCO2, nutrients, SO42â and Fe2+ inventories were not significantly different.
Solid-phase of reactive Fe(II) and Fe(III)
Vertical profiles of solid phase Fe(II) and Fe(III) showed similar patterns at the three stations during September and February (Fig. 4). Fe(II) varied from 30â35âμmol cmâ3 at the surface to 69â78âμmol cmâ3 at 4â8âcm depth, but with the consistently lowest levels at St 7 from 2 to 8âcm depth (30â51âμmol cmâ3). Fe(II) was 1â2 fold higher than Fe (III) near the sediment surface (Fig. 4), except for a 4 fold difference at St 7, where Fe(III) was low at 0â1âcm depth (7â9âμmol cmâ3). Fe(III) decreased sharply from 13â30âμmol cmâ3 near the surface to <5âμmol cmâ3 below 2âcm depth at St 5 and 6. The depth integrated Fe(II) and Fe(III) concentrations were not significantly different among stations and months.
Macrofaunal community structure, metabolism and bioirrigation
Macrofaunal abundance was significantly higher in February (1297â1777 ind mâ2) than in September (96â192 ind mâ2) (F1,17â=â48.5, pâ<â0.001, Table 2). There was no significant difference in macrofaunal abundance between stations in either month (Supplementary Table S1). The community consisted of only 7 species in September, including the polychaetes Ninoe brasiliensis and Glycera lapidum, the bivalve Nucula semiornata, small unidentified crustaceans, the ophiuroid Amphiuridae sp. and the hemichordate Enteropneusta sp. The benthic fauna was more diverse in February and consisted of 27 species with dominance of small polychaetes Prionospio dayi, Magelona posterolongata, paranoids and capitellids, small crabs of the genus Pinnixa, the amphipods Photis longicaudata and Ampelisca paria, the bivalve Ctena pectinata and the hemichordate Enteropneusta sp. The density of epifaunal (F1,17â=â17.8, pâ=â0.001), surface (F1,17â=â11.8, pâ=â0.005) and gallery diffusors (F1,17â=â17.8, pâ=â0.001) was significantly higher in February (96 to 1008 ind mâ2) than in September (0 to 144 ind mâ2) (Supplementary Table S1). Upward and downward conveyors only occurred in February with densities varying from 48â288 ind mâ2.
The estimated biomass (ash free dry weight: AFDW) of macrofauna was significantly higher in February (245â3029âmg mâ2) than in September (32â402âmg mâ2) (F1,17â=â6.3, pâ=â0.03, Table 2, Supplementary Table S1). The average biomass per individual was 1.5â±â0.7âmg AFDW in September and 0.9â±â0.7âmg AFDW in February. Accordingly, the estimated macrofaunal community respiration was 1â7âmmol mâ2 dâ1 in September and 8â10âmmol mâ2 dâ1 in February (Table 2).
The Brâ concentration in the overlying water was on average 13.5âmM in September and 7.0âmM in February. The modeled diffusive Brâ profiles without fauna decreased rapidly with depth reaching background values of 0.3â1.0âmM at around 3â4âcm (Fig. 5). The community bioirrigation estimated from the excess Brâ inventory in the sediment varied from 4 to 9âL mâ2 dâ1 in September and from 8 to14âL mâ2 dâ1 in February (Fig. 5, Table 2) with no significant difference between seasons. The presence of the large Enteropneusta sp. (~1âg individual wet weight) in few cores (i.e. one at St 6 in September and one at St 5 and St 7 in February) probably masked the effect of the smaller-sized fauna, i.e. <1âg wet weight (Fig. 5, Table 2). An extra analysis excluding cores with large fauna revealed significantly higher small-fauna bioirrigation rates in February than September (F1,15â=â13.6, pâ=â0.004, Table 2, Supplementary Table S1).
Discussion
Rates of TCO2 efflux across the sediment-water interface provide a measure of total benthic aerobic and anaerobic C oxidation, while the depth integrated TCO2 production measured in jars determines anaerobic C oxidation in the examined depth interval. TCO2 efflux and anaerobic TCO2 production measured in sediment from the coast of Ubatuba are ca. 2-fold lower than the rates recorded in intertidal areas, but comparable with rates from deeper continental shelf areas, reflecting the meso-oligotrophic nature of the study area5,15. In contrast to other coastal areas where sulfate reduction accounts for 50â80% of total C oxidation4, there was a complete lack of sulfate reduction in anaerobic sediment incubations from Ubatuba, suggesting that this process was hampered by the presence of thermodynamically more favorable electron acceptors, e.g. O2, NO3â and metal-oxides5,15.
The partitioning of microbial respiration pathways is determined from TCO2 budgets based on fluxes, benthic fauna metabolism and depth integrated jar rates, assuming that any contribution to fluxes from C-oxidation below 20âcm can be ignored. TCO2 effluxes are an integrated measure of total C mineralization, including fauna metabolism and aerobic and anaerobic microbial processes (Table 3). Assuming RQ (TCO2 production/O2 consumption) = 1 for benthic fauna metabolism, we estimate that the TCO2 production by the total macrobenthic community contributed 5â32% to TCO2 effluxes (Tables 2 and 3). The remainder is therefore microbial C mineralization (Table 3). Anaerobic C mineralization (i.e. TCO2 production in jars) is used to obtain the relative contribution of various anaerobic processes. Anaerobic processes that contribute to the TCO2 production in cores and jars were identified as denitrification, iron reduction and other anaerobic processes (e.g. manganese reduction) (Table 3).
Depth integrated C-oxidation by iron reduction (FeR) as measured in jars accounted for 9â16âmmol C mâ2 dâ1 (i.e. converted to C equivalents using the ratio 1/4) in February. The unfortunate lack of FeR measurements in September is compensated by applying the relationship between the concentration of reactive Fe(III) in the sediment and relative contribution of FeR to total anaerobic C mineralization16. Thus, the estimated depth integrated C-oxidation by FeR in September varies from 12 to 25âmmol C mâ2 dâ1, which is somewhat, but not significantly, higher than the measured FeR in February. Such difference was expected because Fe(III) levels were higher in September than in February. The estimated FeR based on the same relationship in February ranged between 8â21âmmol C mâ2 dâ1 and is comparable to the FeR levels measured in jar experiments, confirming that this approach is valid for Ubatuba sediments. FeR generally accounted for 90â100% of anaerobic C mineralization (Table 3). FeR was also the process driving most (73â81%) of total microbial C mineralization in September, whereas lower contribution was evident in February (32â61%, Table 3), where fauna and aerobic processes accounted for a greater proportion of total benthic metabolism. The volume specific FeR rates obtained here are comparable to the highest recorded in marine sediments, such as Kattegat, Amazon inner shelf and Indonesian coast16,17,18. Contribution of FeR >70% to anaerobic processes has been registered in Kattegat, Artic shelf and intertidal mangrove sediments15,16,19, but is here documented for the first time in an area representative for most of the Southeastern Brazilian coastal areas, i.e. small enclosed bays surrounded by granitic mountains20,21.
The consistently high FeR irrespective of season indicates that the pool of reactive Fe(III) was constantly replenished throughout the year. Reoxidation of Fe(II) typically occurs by transport of Fe(II) to interfaces where O2, NO3â or Mn(IV) are present. Both the transport of iron and reoxidation is enhanced in the presence of benthic fauna. The deep burrowing Enteropneusta sp. was present in Ubatuba during both September and February, which implies that this animal may have an important role for replenishing Fe(III) down to 14â20âcm sediment depth. The average abundance of Enteropneusta sp. and other deep and large burrowing species including bivalves, sipunculids and ophiuroids varied from 0 to 48âind mâ2 and is within the range observed before (7 to 36 ind mâ2)14,22. Similar densities of other large fauna such as the polychaete Arenicola marina and fiddler crabs Uca sp. in estuarine and mangrove areas, respectively, can significantly increase Fe(III) content and stimulate Fe reduction in the sediment11,12. The role of benthic fauna and in particular large burrowers for downward transport of solutes (e.g. oxygen) is clearly evident in this study from the Brâ profiles and the high bioirrigation rates with large fauna (8â12âL mâ2 dâ1) (Table 2, Fig. 5), which are comparable to or higher than previously recorded in coastal areas23,24. The associated bioturbation effects of large fauna may have even higher impact on solute transport, reoxidation and organic carbon mineralization than measured here, since their abundances were probably underestimated by the relatively small sampling unit used in this study (0.008âm2)25. The contribution of Fe oxides derived from sedimentation for FeR is less important in areas with intense bioturbation of large fauna, but external sources contribute to the long-term enrichment of the sediment with sufficient amounts of reactive iron. In Ubatuba Bay, the deposition of resuspended particles after the fall-winter stormy season and increased river runoff after summer rain may be a major contributor of reactive iron26.
Denitrification (DENIT) can be estimated based on the C:N stoichiometry of TCO2 and NH4+ production measured in jars27. Total N production is calculated by dividing the microbial C mineralization (i.e. TCO2 effluxes minus fauna metabolism) with the C:N ratio found in jars (Supplementary Table S2). The reliability of the jar-based C:N ratios of mineralized organic C and N (6â9) is confirmed from the C:N slope (5â9) of linear regressions of TCO2 and NH4+ porewater profiles in the upper 10âcm sediment when considering cores as open and diffusion dominated systems28. DENIT can then be estimated as the missing N between the total N mineralization and DIN (= NH4+â+âNOxâ) fluxes. Accordingly, DENIT varies from 1 to 4âmmol mâ2 dâ1 in September and February (Supplementary Table S1). DENIT (i.e. converted to C units by 5/4 ratio) was therefore responsible for 5â27% of total C mineralization in both periods (Table 3), which is similar to that found in other tropical and temperate continental shelf sediments5,15.
The total microbial C mineralization obtained from fluxes can be explained fully by DENIT and FeR in September (Table 3). However, a deficit of 9 and 15âmmol mâ2 dâ1 in February at St 5 and St 6 after correcting for DENIT and FeR (Table 3) indicates seasonal differences in organic matter reactivity and availability between February and September. Experimental evidence suggests that labile organic matter is mineralized with similar rates regardless of redox conditions, whereas refractory organic matter degrades faster under oxic than anoxic conditions29. Lower availability of labile organic matter (e.g. chlorophyll-a) and more refractory and O2-sensitive organic matter could therefore explain the low jar-based C mineralization in February3,27. The unexplained deficit in microbial C mineralization may be also related to higher contribution of aerobic respiration (39â60%) in February (Table 3) as indicated by higher O2 levels in the water and extended thickness of the oxidized zone from 0.1âmm (September) to 2â3âmm (February). This is probably coupled to the much higher fauna abundance that drives faster downward transport of O2 through bioirrigation and thus faster degradation and depletion of labile organic matter.
The large difference in redox profiles and electron acceptor partitioning between September and February suggests that the area is subjected to strong seasonal variation in sediment biogeochemistry. This change may be associated with the upwelling and cold-front events that shift water column conditions and phytoplankton composition dramatically and in turn alters the organic matter reactivity as well as the structure of macrobenthic communities14,30. The low O2 in the water column and sediment during the sampling in September can be explained by the windy conditions causing wash out of benthic fauna due to particle resuspension and high content of labile organic matter associated to regenerated primary production31. The generally calm conditions during late summer in February allow the re-establishment of O2 to higher levels and increased density of benthic fauna. However, the cascading effects of upwelling and cold-fronts on microbial metabolic pathways are probably strongly controlled by the duration and exact time of the year that these events occur. Upwelling periods can happen from November to March, when high nitrate levels in the water stimulate diatom production8,14. Windy cold-fronts dominate the rest of the year, causing sediment resuspension and nutrient release to the water, usually leading to blooms of phytoflagellates8,14. Therefore, large inter-annual variations can be observed13 and care should be taken when comparing the results of this study with other shallow marine areas.
In summary, this study shows that FeR is the major pathway of anaerobic C mineralization in Ubatuba Bay sediments, SE Brazil. A similar dominant role of FeR for anaerobic C mineralization has never been documented before for coastal Brazilian sediments. Contrasting redox conditions between winter and summer reflect differences in the partitioning of aerobic and anaerobic processes as a consequence of changing environmental conditions (i.e. upwelling, cold fronts), which in turn influences organic matter reactivity, macrobenthic communities and bioturbation. Bioturbation of small benthic fauna is essential for oxidizing the sediment in summer, while large-sized species stimulates the reoxidation of reduced compounds, e.g. Fe(II), throughout the year.
Methods
Study site and sampling
The study was performed in September 2012 and February 2014, corresponding to winter and summer, respectively, in Ubatuba Bay. Ubatuba is located on the coast of Sao Paulo State, Southeastern Brazil, on the transition between tropical and subtropical climate zones. A mountain range âSerra do Marâ with altitudes up to 1000âm reaches almost all Ubatuba shores, forming small enclosed bays and influencing the geological composition of coastal sediments, which consists mainly of granite and migmatite minerals20,21.
The area is considered meso-oligotrophic with phytoplankton biomass ranging from 1 to 3âmg mâ3 30. The Ubatuba coast is in spring-summer affected by upwelling of cold and nutrient rich South Atlantic Coastal Water (SACW), which may lead to diatom blooms. In rest of the year, the warmer Coastal Water (CW) dominates with frequent cold front events (ca. 4 per month) and S-SE waves that lead to sediment resuspension, nutrient release and stimulated phytoflagellate blooms8,32. Benthic macrofauna typically consists of high numbers of small-sized species varying from 0.1 to 3.0âmg AFDW indâ1 14,24. Larger-sized macrofaunal species are less frequent and include, the bivalve Tellina sp., burrow dwelling Enteropneusta sp. (Hemichordata), the sipunculid Thysanocardia catarinae and the ophiuroids Amphiodia atra and Hemipholis elongata14,22.
Intact large sediment cores (10âcm i.d.) were collected with a multicorer from the research vessel âVeliger IIâ, Sao Paulo University. Sampling was conducted at three stations St 5, St 6 and St 7, positioned along an increasing depth gradient from 5 to 12âm in Ubatuba Bay14. The bottom water temperature was 22â23°âC in September 2012 and 22â26°âC in February 2014, with the highest temperatures recorded at the shallow St 5. A total of 3âÃâ3 cores were collected at each station for: (1) flux incubations, sediment characteristics, bioirrigation and porewater analysis; (2) macrofauna analysis; and (3) anoxic sediment (jar) incubations. The three replicate cores were subsampled with smaller cores having 8âcm i.d. to fit the experimental set-up for flux incubations. The three cores for macrofaunal analysis were sieved on board through a 500âμm mesh and retained material was preserved in 70% ethanol. The last three cores for anoxic sediment incubations were sliced in the laboratory for âjarâ preparations.
Benthic metabolism
Triplicate cores (8âcm i.d.) from St 5, St 6 and St 7 were transferred to a 90âL tank containing seawater with salinity of 35 and maintained in the laboratory in darkness at 22°âC. Water stirring was assured by a central motor that rotated magnetic bars placed in the headspace of individual sediment cores. Three sequential flux measurements were done 1, 2â3 and 6 days after core sampling by incubating the sealed cores for 4â8âh with constant stirring. Water samples for O2, TCO2 (=H2CO3â+âHCO3ââ+âCO32â), NH4+, NOxâ (=NO3ââ+âNO2â) and PO43â were collected at the start and end of flux incubations. O2 samples were immediately fixed with Winkler reagents. TCO2 samples were stored at 4°âC in gas-tight vials and a sample for nutrients was stored at â20°âC. O2 concentrations were determined by Winkler titrations33 and TCO2 was determined by flow injection analysis34. Nutrients were analyzed on a Lachat Quickchem 8500 auto-analyzer. Fluxes were calculated from the concentration change of O2, TCO2 and nutrients in the headspace of individual cores.
Redox profiles
Two vertical redox profiles were measured on each of two random cores from each station with a redox needle electrode (RD-N, Unisense A/S) coupled to a calomel reference electrode and an Impo Electronic type 1510âpH/mV-meter. Measurements were undertaken stepwise at high resolution (0.5â1âmm) until ca. 1âcm depth and thereafter in 2â5âmm steps, until ca. 3âcm sediment depth. The signal was allowed to stabilize for 3âmin before moving the electrode to the next sediment depth. The measured values were corrected for the use of calomel electrode according to: Ehâ=âEmeasured + 244âmV.
Porewater analysis
After flux incubations, the cores were sliced into the intervals 0â1, 1â2, 2â4, 4â6, 6â8, 8â10, 12â14 and 16â18âcm. Sediment slices were homogenized and subsamples were transferred to 50âmL centrifuge tubes and centrifuged at 500âÃâg for 15âmin. Supernatant porewater was GF/C filtered and subsampled for different chemical analysis. One 500âμL subsample was fixed with saturated HgCl2 (volume ratio of 9:1) and stored at 4°âC for TCO2 analysis as described above. Another subsample was preserved with 0.5âM HCl (volume ratio of 4:1) for dissolved iron (Fe2+) and analyzed by the ferrozine color reaction method35. A pooled subsample for SO42â, Brâ and nutrient analysis was stored frozen at â20°âC. SO42â and Brâ were analyzed by ion chromatography (Dionex ICS-2000) and normalized to chloride concentrations. Nutrients were analyzed as mentioned above.
Solid-phase sediment analysis
Subsamples of wet sediment were collected for water content, density and porosity. Water content was determined as weight loss of sediment after drying (24âh at 105°âC). Wet density was determined as weight of a known volume of sediment using 5âmL cut-off syringes. Sediment grain size was analyzed following the Wentworth scales of sieving and size classification and TOC and TN were measured after removal of carbonates by acidification on a Leco CNS 2000 Elemental Analyzer14.
Chlorophyll-a and phaeopigments were measured on the 0â1, 1â2 and 2â3âcm sediment intervals after extracting ca. 500âmg wet sediment subsamples in 5âmL of 90% ethanol in darkness at 4°âC for ca. 24âh. The test tubes were centrifuged at 500âÃâg for 15âmin and the absorbance of supernatants was measured at 665 and 750ânm before and after acidification (10% HCl)36. Other wet sediment subsamples (ca. 300âmg) were transferred immediately after core slicing to centrifuge tubes containing 5âmL of 0.5âM HCl for solid-phase iron analysis37. The centrifuge tubes were shaken for 30âmin and subsequently centrifuged at 500âÃâg for 15âmin. Reactive Fe(II) was analyzed in the extract by the ferrozine method as described above. Total reactive solid phase iron (TRFe) was measured in the extract by the ferrozine method after reduction with hydroxylamine. Reactive Fe(III) was calculated from the difference between TRFe and reactive Fe(II).
Bioirrigation
One day before core slicing the seawater in the tank was enriched with NaBr to 7â13âmM. The following day porewater samples were obtained during core slicing as described above and analyzed for Brâ. Total community bioirrigation (L mâ2 dâ1) was calculated as the difference between measured porewater inventories of Brâ and the estimated molecular Brâ diffusion into the sediment based on incubation time, Brâ concentration in overlying water and sediment porosity. Profiles of molecular Brâ diffusion were estimated by one-dimensional diagenetic modeling using diffusion coefficients corrected for porosity38.
Macrofauna analysis
After sorting, all macrofauna was identified and classified into functional bioturbation groups: epifaunal, surface and gallery diffusors and upward and downward conveyors2. Wet weight of higher taxonomic groups of macrofauna (i.e. polychaetes, bivalves, gastropods, ophiuroids etc.) was converted to AFDW39,40. Macrofauna O2 consumption q (μL O2 hâ1) was calculated for average individual ash free dry weight biomass (W) according to equation for poikilotherms41: log qâ=â1.29â+â0.74âlog W at 20°âC and adjusted to the incubation temperature using Q10â=â2.
Anoxic sediment incubations
Three large cores (10âcm i.d.) from each station were sliced into depth intervals 0â2, 4â6, 8â10 and 16â18âcm. Sediment from each interval was pooled and homogenized and transferred to eight 50âmL centrifuge tubes (jars) leaving no headspace27. Jars were sealed gas tight and buried in anoxic sediment to avoid oxygen intrusion and incubated in darkness at 22°âC for 10â22 days. Two jars from each interval were sacrificed every 2â4 days by centrifugation at 500âÃâg for 15âmin. The supernatant porewater was GF/C filtered and separated into subsamples for TCO2, SO42â, dissolved iron (Fe2+) and nutrients as described above. In February 2014, iron reduction was estimated based on solid-phase 0.5âM HCl Fe extraction. The jars used for this approach were opened before centrifugation and ca. 300âmg wet sediment were collected for extraction of solid-phase Fe as described above. NH4+ production rates were corrected for adsorption. Linear NH4+ adsorption coefficients were determined on wet sediment subsamples after incubation with different NH4+ concentrations and analysis with and without addition of 2âM KCl42.
Statistical analysis
Differences among the factors stations (St 5, St 6 and St 7), time (September and February) and interaction time x station were tested by two-way ANOVA for flux rates, pigments content, macrofaunal density and bioirrigation rates. Porewater and microbial rate profiles were tested using depth integrated values (20âcm depth). The normality of data was checked by Shapiro-Wilk test. Pairwise post hoc comparisons among stations and between sampling dates were done by applying Tukey tests. All statistical analyses were performed with a significance level α=0.05 using the software SigmaPlot 11.2.
Additional Information
How to cite this article: Quintana, C. O. et al. Carbon mineralization pathways and bioturbation in coastal Brazilian sediments. Sci. Rep. 5, 16122; doi: 10.1038/srep16122 (2015).
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Acknowledgements
The authors would like to thank Arthur Z. Güth, Joan M. A. Lucas and Arthur Tenorio for assistance in the field. We are also grateful to Birthe Christensen and Rikke O. Holm for the support with laboratory analysis. C.O.Q. is thankful to Sao Paulo Research Foundation (FAPESP #2012/06121-1), which provided a post-doctoral grant to conduct this research. P.Y.G.S. is in debt with National Council for Scientific and Technological Development (CNPq) for providing a Research Productivity grant (302526/2012-9).
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C.O.Q., P.Y.G.S., T.V. and E.K. designed the study; C.O.Q., M.S. and P.C.M. performed the sampling in the field and laboratory experiments; C.O.Q., P.C.M., C.P.O., B.G.R.A. and M.S. did the laboratory analysis; C.O.Q., T.V. and E.K. wrote the paper.
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Quintana, C., Shimabukuro, M., Pereira, C. et al. Carbon mineralization pathways and bioturbation in coastal Brazilian sediments. Sci Rep 5, 16122 (2015). https://doi.org/10.1038/srep16122
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DOI: https://doi.org/10.1038/srep16122
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