Literature DB >> 25431515

Alkalinity production in intertidal sands intensified by lugworm bioirrigation.

Alexandra M F Rao1, Sairah Y Malkin1, Francesc Montserrat2, Filip J R Meysman2.   

Abstract

Porewater profiles and sediment-water fluxes of oxygen, nutrients, pH, calcium, alkalinity, and sulfide were measured in intertidal sandflat sediments from the Oosterschelde mesotidal lagoon (The Netherlands). The influence of bioturbation and bioirrigation by the deep-burrowing polychaete Arenicola marina on the rates and sources of benthic alkalinity generation was examined by comparing measurements in intact and defaunated sediment cores before and after the addition of A. marina in summer and fall 2011. Higher organic matter remineralization rates, shallower O2 penetration, and greater sediment-water solute fluxes were observed in summer, consistent with higher sediment community metabolic rates at a higher temperature. Lugworm activity stimulated porewater exchange (5.1 × in summer, 1.9 × in fall), organic matter remineralization (6.2 × in summer, 1.9 × in fall), aerobic respiration (2.4 × in summer, 2.1 × in fall), alkalinity release (4.7 × in summer, 4.0 × in fall), nutrient regeneration, and iron cycling. The effects of lugworm activity on net sediment-water fluxes were similar but more pronounced in summer than in fall. Alkalinity release in fall was entirely driven by metabolic carbonate dissolution, while this process explained between 22 and 69% of total alkalinity production in summer, indicating the importance of other processes in this season. By enhancing organic matter remineralization and the reoxidation of reduced metabolites by the sediment microbial community, lugworm activity stimulated the production of dissolved inorganic carbon and metabolic acidity, which in turn enhanced metabolic CaCO3 dissolution efficiency. In summer, evidence of microbial long distance electron transport (LDET) was observed in defaunated sediment. Thus, alkalinity production by net carbonate dissolution was likely supplemented by anaerobic respiration and LDET in summer.

Entities:  

Keywords:  Arenicola; alkalinity; bioirrigation; bioturbation; calcium carbonate; diagenesis

Year:  2014        PMID: 25431515      PMCID: PMC4235781          DOI: 10.1016/j.ecss.2014.06.006

Source DB:  PubMed          Journal:  Estuar Coast Shelf Sci        ISSN: 0272-7714            Impact factor:   2.929


Introduction

Oceans are an important sink for the excess CO2 released by human activities including fossil fuel burning, land use change, industrialization and deforestation, which have resulted in a >30% rise in atmospheric CO2 during the industrial era (Sabine et al., 2004, Forster et al., 2007). In this time, the oceans have absorbed approximately 30% of anthropogenic CO2 emissions by air-sea gas exchange, resulting in a decline in surface ocean pH of about 0.1 (Feely et al., 2010). In the last century, ocean acidification has had a significant negative effect on calcification, survival, growth, development, and abundance among corals, mollusks, echinoderms, coccolithophores, and other taxonomic groups (Kroeker et al., 2013). With an additional expected decline of 0.3–0.4 pH by the end of this century, ocean uptake of anthropogenic CO2 will likely have strong adverse effects on calcareous and noncalcareous marine organisms alike (Gazeau et al., 2007, Guinotte and Fabry, 2008; Hutchins et al., 2009). In coastal waters, the accumulation of anthropogenic CO2 can exacerbate low pH conditions resulting from natural respiration processes (Feely et al., 2008, Bates and Mathis, 2009, Feely et al., 2010), thereby compounding the stress exerted on coastal ecosystems. While sediments represent an important site of organic matter remineralization in nearshore environments, recent studies suggest that coastal sediments are also a source of alkalinity to the overlying water, favoring the role of the coastal ocean as a potential sink for atmospheric CO2 (Thomas et al., 2009, Faber et al., 2012). During early diagenesis, alkalinity can be produced by several different processes, including CaCO3 dissolution, denitrification, and iron and sulfate reduction coupled to the subsequent burial of iron sulfide minerals such as iron monosulfide (FeS) and pyrite (FeS2) (Stumm and Morgan, 1996). It is crucial to better understand the actual mechanisms and rates of benthic alkalinity generation. In the North Sea, it has been estimated that as much as one-quarter of the overall CO2 uptake may be driven by alkalinity production in the intertidal flats of the southern North Sea (Thomas et al., 2009). These deposits support rich macrofaunal communities (Reise et al., 1994, Seys et al., 1994) and high sediment community metabolic rates (de Beer et al., 2005, Werner et al., 2006, Roy et al., 2008). The macrofaunal activity in these sediments exerts an important influence on carbon and nutrient cycling and fluxes of solutes across the sediment-water interface by altering the balance between solute transport and reaction rates in sediments (Kristensen, 2001). An understanding of the influence of benthic macrofauna in regulating alkalinity production may therefore help to elucidate the rates, controls, and spatiotemporal variability in alkalinity sources and CO2 uptake in ocean margin environments. Experimental and modeling studies have shown that biological particle mixing (bioturbation) exerts a strong control on the permeability, stability, composition, and metabolic rates in sediments, and that bioirrigation flushes out reduced metabolites and supplies terminal electron acceptors and organic substrates for microbial metabolism (Banta et al., 1999, Kristensen, 2001, Volkenborn et al., 2007, D’Andrea and DeWitt, 2009, Volkenborn et al., 2010, Kristensen et al., 2012). However, the influence of benthic macrofaunal activity on alkalinity generation has so far received little attention. To better understand the role of macrofaunal activity (particle mixing and porewater bioirrigation) on alkalinity production in coastal sediments, we investigated the impact of the deep-burrowing lugworm Arenicola marina on interfacial fluxes and porewater profiles of oxygen, nutrients, pH, calcium, alkalinity, and sulfide in sediment cores from an intertidal sandflat in the Oosterschelde (The Netherlands). The effect of season was investigated by comparing experiments conducted in summer and in autumn. A. marina is the dominant bioirrigator in intertidal sediments in the southern North Sea, and at densities that can exceed 50 individuals per m−2, it often dominates the polychaete biomass in this region (Reise et al., 1994, Coosen et al., 1994, Kristensen, 2001). The lugworm is a head-down deposit feeder residing in L-shaped burrows that can conspicuously transform its habitat (Huettel, 1990, Volkenborn et al., 2007). Sediment ingestion in the lower part of the burrow causes sediment to sink into the feeding pocket, and the resulting surface depression traps detritus. The lugworm periodically retreats to the surface and excretes sediment particles around the opening of the tail shaft, producing distinctive faecal casts. This ingestion–egestion behavior reworks the sediments surrounding the burrow structures, and translocates surface sediments with recently deposited labile organic material and solid phase electron acceptors, such as iron and manganese (hydr)oxides, downward into subsurface suboxic or anoxic layers of sediment. At the same time, aged, refractory organic particles and reduced iron sulfide minerals are transported upward to the oxic surface layer. The peristaltic motions of A. marina result in the irrigation of burrow water with oxygenated bottom water in a rhythmic fashion and the percolation of suboxic or anoxic porewater surrounding the feeding pocket upward into the overlying water, although flow reversals do occur (Kristensen, 2001, Volkenborn et al., 2010). The bioturbation and bioirrigation activities of lugworms enhance aerobic and anaerobic mineralization of organic carbon and nitrogen in sandy coastal sediments (Kristensen, 1988, Huettel, 1990, Banta et al., 1999, Kristensen, 2001).

Materials and methods

Sampling

Sediment cores were collected by hand at low tide at Tholseinde (51° 26′ 52″ N, 04° 05′ 47″ E, Fig. 1), an intertidal region in the inner part of the Oosterschelde (Delta area, SW Netherlands). The Oosterschelde is an euhaline mesotidal basin with extensive intertidal sandflats, which cover about one-third of its surface area (de Jong et al., 1994). Hydrodynamic forces and sediment transport in this coastal embayment have been modified by a storm-surge barrier and two auxiliary dams, completed in 1987 (ten Brinke et al., 1994, de Jong et al., 1994, Nienhuis and Smaal, 1994). The Oosterschelde sandflats are home to a rich macrofaunal community of bivalves, gastropods, and polychaetes, most notably the lugworm Arenicola marina (Coosen et al., 1994).
Fig. 1

The Oosterschelde embayment, with the location of the sampling site at Tholseinde marked with a square.

The Oosterschelde embayment, with the location of the sampling site at Tholseinde marked with a square.

Core incubations

Sediment cores were collected in July and November 2011, and brought to the Royal Netherlands Institute for Sea Research (NIOZ) in Yerseke, NL for ex situ incubations. Plexiglas (PMMA) coreliners, 15 cm inner diameter and 35 cm in length, were used for collection and subsequent incubations. Cores typically contained about 20 cm of sediment and 15 cm of overlying water. Cores were incubated in a darkened water bath, continuously aerated and replaced daily with Oosterschelde seawater, kept in a temperature-controlled room at 16 °C in July and 12 °C in November. In July, eight cores were collected and immediately sealed with polyoxymethylene lids with gas-tight O-ring seals after collection for a ten day period of defaunation by asphyxia. Cores were then opened and any macrofauna that had migrated to the surface were carefully removed with minimal disturbance to the sediment-water interface. The open cores were then placed in the aerated water bath for a reequilibration period of eight days. Subsequently, O2, pH and H2S microsensor profiles were measured in triplicate in each of three cores, as described in Section 2.4, and solute fluxes were determined in all eight cores as described in Section 2.3. Two adult Arenicola specimens were introduced in each core, and it was verified that the lugworms burrowed into the sediment. Two days after lugworm addition, flux measurements were repeated in all cores and microprofiles were measured in two cores, both in areas that appeared undisturbed by lugworm activity (n = 3 replicate profiles of each solute per core) and in areas covered with Arenicola faecal casts (n = 2 replicate profiles of each solute per core). In November, ten cores were collected and brought into the laboratory for incubation. The incubation procedure was largely similar to the July experiment, but in addition to the measurements made in defaunated cores before and after lugworm addition, the initial conditions were also characterized in cores shortly after collection (hereafter referred to as “intact cores”). To this end, porewater O2, pH and H2S microprofiles (n = 5 replicate profiles of each solute) were measured after one day of reequilibration in two intact cores, P1 and P2, which were dedicated for microprofile measurements throughout the entire experiment. After two days of reequilibration, solute flux measurements (Section 2.3) were made in cores P1, P2, and three additional intact cores. Two of these intact cores were then destructively sampled for solid phase and porewater analyses as described in Section 2.4. The remaining cores were sealed for a twenty-five day defaunation period, reopened and macrofauna that had surfaced were carefully removed. Cores were then kept open in the aerated water bath for a nine day reequilibration period. Subsequently, porewater O2, pH and H2S microprofiles (n = 3 replicate profiles of each solute) were measured under defaunated conditions, and flux measurements were made in cores P1, P2, and three additional cores, which were destructively sampled for solid phase and porewater analyses on the following day. Two adult Arenicola specimens were introduced in each of the five remaining cores. Five days after lugworm addition, porewater O2, pH and H2S microprofiles were measured, both in areas that appeared undisturbed by lugworm activity (n = 3 replicate profiles of each solute per core) and in areas covered with Arenicola faecal casts (n = 2 replicate profiles of each solute per core). The following day, flux measurements were conducted in cores P1, P2, and the remaining three cores, which were destructively sampled for solid phase and porewater analyses on the following day. In the following sections, we compare measurements in intact and defaunated cores before and after lugworm addition.

Solute flux measurements

Solute fluxes across the sediment-water interface were measured in closed core incubations. Each set of flux measurements was begun by securing gas-tight lids on each core in a water bath. Core lids contained two sampling ports on opposite sides and a central stirrer to ensure that the overlying water remained well mixed during incubation. Both ports were purged prior to the start of each incubation, to ensure that no gas bubbles remained. An oxygen optode (PreSens oxygen dipping probe or Pyroscience robust oxygen probe OXROB10) was inserted into a third opening in each lid and secured by a rubber stopper, for measurements of total oxygen uptake (TOU). Optodes were pre-calibrated on the same day using a two-point calibration with Oosterschelde seawater at 0% and 100% O2 saturation, bubbled with nitrogen gas and air, respectively. Oxygen data from one defaunated core in July were excluded from final analysis due to optode malfunction. At the start of closed core incubations, a known volume of sodium bromide (NaBr) tracer solution was added to the overlying water of each core, to a final concentration of 3–5 mmol L−1. The initial spike solution was prepared at concentrations between 0.2 and 0.3 mol L−1 NaBr, such that its density matched that of the overlying water at the start of incubations. Samples of about 30 mL of overlying water were collected from each core in plastic syringes approximately hourly for analysis of dissolved inorganic nutrients, pH, total alkalinity (TA), calcium (Ca2+) and bromide (Br−), as described in Section 2.5. The volume of overlying water and the rate of porewater exchange by bioirrigation were calculated from the dilution of Br− tracer in the overlying water of each core. The effective overlying water volume (Vow) was determined from the known volume (Vspike) and concentration (Cspike) of Br− spike solution injected at the start of incubations, and the initial overlying water concentration of Br− in excess of natural seawater Br− (): The value of was obtained by extrapolating the measured excess Brconcentration in the overlying water to the start of the incubation using linear regression (Berelson et al., 1998, Jahnke and Jahnke, 2000). The flux of bromide into the sediment was calculated from the same regression as:where ΔCow/Δt is the slope of the excess Brconcentration in the overlying water versus incubation time and A is the sediment surface area. The rate of porewater exchange (Q) represents the volume of water that is exchanged per unit area per unit time, and is calculated as: Therefore, the rate of porewater exchange by bioirrigation (I) is calculated as the difference in porewater exchange rates in incubations with and without macrofauna:where “treatment” refers to intact cores or defaunated cores after lugworm addition. In July, bioirrigation rates were determined as the difference between measured porewater exchange rates in the same core before and after lugworm addition. In November, it was not possible to compare Q in the same core under different treatments because of destructive sampling. Therefore, bioirrigation rates (I) were calculated using the average exchange rate measured in defaunated cores before (Qdefaunate) and after (Qtreatment) lugworm addition. In November 2011, Br− fluxes were not measured in cores P1 and P2 under intact conditions. Therefore, for these two incubations, porewater exchange rates are not available and overlying water volume was estimated as the average of that calculated in the other 3 cores, which varied only by 4% (CV). Benthic fluxes of all other solutes were determined in a similar fashion (Eq. (2)), based on the overlying water volume, the known core cross-sectional area, and the slope of a linear regression of overlying water concentration vs. incubation time. Solute fluxes were corrected for dilution of the overlying water in each core with fresh seawater at each sampling time point. As a result of undiluted tracer solution remaining in the injection port, initial Ca2+ and Brconcentrations were often anomalous and were not included in the final analysis.

Porewater solute and solid phase distributions

In November 2011, replicate subcores (4 cm i.d.) were collected after flux measurements in two intact cores, three defaunated cores before lugworm addition, and three defaunated cores after lugworm addition. Subcores were extruded and sliced in an anaerobic glove box at 2.5 mm intervals from 0 to 2 cm, 5 mm intervals from 2 to 5 cm, and 1 cm intervals from 5 to 10 cm depth. Porosity was determined on one subcore. Corresponding depth sections from three additional replicate subcores were pooled in centrifuge tubes with built-in Whatman glass fiber filters, and centrifuged at 5000 rpm for 5 min. After centrifugation, centrifuge tubes were opened one at a time and porewater was dispensed through syringe filters (0.22 μm PVDF) into sample containers. The remaining sediment was stored frozen for analysis of total and organic carbon content. Sediment microsensor profiling was performed using commercial pH (100-μm tip diameter) and O2 and H2S microelectrodes (50-μm tip diameter), operated with a motorized micromanipulator (Unisense A.S., Denmark). Oxygen microprofiles were made at 100 μm resolution, with a 2-point calibration made in air-saturated seawater (100% saturation) and at depth in anoxic sediment (0% saturation). For H2S and pH, depth profiles were made at 200 μm resolution in the oxic zone, and 200 or 400 μm resolution below. Calibrations for pH were made with three NBS standards and a TRIS buffer to correct for salinity effects (Dickson et al., 2007). pH is reported on the total scale. For H2S, a 5-point calibration was made using Na2S standards, which were prepared for each experiment, stored in an anaerobic glove box, and verified spectrophotometrically (Cline, 1969). ΣH2S was calculated from H2S based on pH measured at the same depth using the R package AquaEnv (Hofmann et al., 2010), with the relations of Millero (1995) for the thermodynamic equilibrium constant of H2S. Diffusive oxygen uptake (DOU) rates were calculated from porewater O2 microprofiles using Fick's first law:where z is depth and [O2] denotes O2 concentration. The concentration gradient was calculated as the linear slope in O2 concentration measured at the sediment-water interface, and adjusted for porosity (φ). The molecular diffusion coefficient (D0) was calculated at measured salinity and temperature using the R package marelac (Soetaert et al., 2012), and corrected for sediment tortuosity ( = D0/θ2) according to Archie's Law (θ2 = φ1−, with m = 2 for sands; Boudreau, 1997). DOU is compared with total oxygen uptake (TOU) rates derived from oxygen fluxes measured directly in core incubations (Section 2.3).

Analytical methods

Sediment porosity was determined from water content and solid phase density measurements. Water content was determined by drying sediment samples to constant weight at 60 °C, and solid phase density measurements were based on volume displacement after adding a known mass of dry sediment to a graduated cylinder. Sediment grain size and sorting at the sampling site was measured in August 2011 by laser diffraction on a Malvern Mastersizer 2000. Sediment samples were freeze-dried and ground to a fine powder for analysis of total carbon on a Thermo Scientific Delta V Elemental Analyzer (±0.18%). Samples for total organic C were acidified with 0.1 N HCl for inorganic C removal prior to analysis, and total inorganic C was calculated by difference. Overlying water samples were analyzed immediately upon collection for pH using an Orion ROSS glass electrode calibrated with NBS buffers and a seawater TRIS buffer prepared according to Dickson et al. (2007). Samples for Br−, Ca2+, TA, and nutrients were 0.2 μm-filtered and refrigerated until analysis. Phosphate ( ± 3.5%), silicate (Si(OH)4 ± 0.6%), nitrate ( ± 4.0%), nitrite ( ± 1.7%) and ammonium ( ± 2.3%) concentrations in overlying water samples were measured using standard colorimetric methods on a Seal QuAAtro autoanalyzer. Br− (±1.2%) was analyzed colorimetrically following the method of Presley (1971). TA (±0.2%) was measured by Gran titration and Ca2+ (±0.05%) in selected flux chamber incubations (n = 9 in July, n = 11 in November) by ethylene glycol tetraacetic acid (EGTA) titration (Tsunogai et al., 1968) using manual, scaled-down methods with an ultraprecision micrometer burette (Roger Gilmont Instruments). Replicate measurements of certified reference materials provided by A. G. Dickson (Dickson et al., 2003) and IAPSO seawater standard were used to validate the accuracy of TA and calcium measurements. Dissolved inorganic carbon (DIC) was calculated from pH, TA, and nutrient concentrations at measured values of salinity and temperature with the R package AquaEnv (Hofmann et al., 2010), using the relations of Millero (2010) for the first and second dissociation constants of carbonic acid, Dickson and Riley (1979) for the dissociation constant of hydrogen fluoride, and Dickson (1990) for the dissociation constant of hydrogen sulfate. Calculated DIC concentrations in the overlying water of core incubations were used to determine the total DIC flux, JDIC, using Equation (2). The net CaCO3 dissolution rate (RCD) was calculated as:where rCa:TA is the average ratio of Ca2+:TA flux measured in each treatment. Average values of rCa:TA were used because Ca2+ flux measurements were not available for all incubations. The DIC production due to organic matter remineralization (RMIN) was determined by subtracting the net CaCO3 dissolution rate (RCD) from the calculated total DIC flux. The ratio of C:N associated with organic matter remineralization was derived from RMIN and the sum of dissolved inorganic nitrogen (DIN) fluxes in individual incubations. Finally, the efficiency of metabolic dissolution (εD) is defined as the ratio of RCD relative to RMIN (Jahnke and Jahnke, 2004). As the portion of respiratory CO2 and metabolic acidity contributing to CaCO3 dissolution varies from 0 to 1, εD is expected to vary between 0% and 100%. Porewater samples collected in November 2011 were analyzed for TA at 0.3% precision. Acidified porewater samples (10 μL of 6 N HCl per 1 mL sample) were analyzed for total dissolved Fe (±1.1%) using a scaled-down Ferrozine method (Viollier et al., 2000) and for Ca2+ (±0.1%) on a Perkin–Elmer ICP-OES. Results are reported as the mean ± 1 standard deviation (s.d.) of n replicate measurements. Differences in solute fluxes and characteristic depths across seasons and treatments were identified using the Mann–Whitney U test.

Results

Sediment properties

Sediments consisted of moderately sorted fine sand (median grain size 3.0 φ, sorting 0.7 φ), composed of approximately 96% sand, with most of the remainder consisting of silt. Dry density was 2.63 ± 0.14 g cm−3 (n = 5), not significantly different from the theoretical density of pure quartz sand (i.e., 2.65 g cm−3). Sediment porosity was 0.47 in the top 0.5 cm, declined to 0.41 by 2 cm, and was nearly constant at this level to 10 cm. Sediment organic (0.23 ± 0.08% dry wt.) and inorganic carbon content (0.24 ± 0.04% dry wt.) were relatively constant with depth.

Solute fluxes

Examples of time series results from defaunated core incubations before and after lugworm addition in July 2011 are shown in Fig. 2. Porewater exchange rates and solute fluxes measured in core incubations are reported in Table 1. Porewater exchange rates were lowest in defaunated cores and highest after lugworm addition. The effect of lugworms on porewater exchange was stronger in summer than in fall (U = 33, n1 = 8, n2 = 5, p = 0.03). Rates of total oxygen uptake (TOU) were also greater in summer than in fall (U = 39 and U = 38 in defaunated cores before and after lugworm addition respectively, with n1 = 8, n2 = 5, p < 0.01), and lowest in defaunated cores (July: U = 63, n1 = n2 = 8, p < 0.001; November: U = 24, n1 = n2 = 5, p < 0.01).
Fig. 2

Example time series results from defaunated core incubations before (open symbols, O2: thin line) and after (filled symbols, O2: thick line) the addition of A. marina in July 2011. Solute concentrations are expressed in μmol L−1.

Table 1

Summary of porewater profiling and flux measurements in intact and defaunated core incubations before and after lugworm addition. Porewater profiling results from defaunated cores after lugworm addition are presented for undisturbed sediment patches (U) and microprofiles measured directly over A. marina fecal casts (F).

July 2011
November 2011
Defaunated+ LugwormsIntactDefaunated+ Lugworms
Porewater exchange rate L m−2 d−1
14.26 ± 13.9573.07 ± 37.1230.44 ± 5.06*24.50 ± 13.5745.67 ± 11.10



Measured fluxes mmol m−2 h−1
O2−0.87 ± 0.18−2.09 ± 1.06−0.89 ± 0.21−0.45 ± 0.11−0.96 ± 0.39
NO3-−0.01 ± 0.07−0.09 ± 0.06−0.04 ± 0.020.01 ± 0.00−0.03 ± 0.02
NH4+0.12 ± 0.080.94 ± 0.580.23 ± 0.100.08 ± 0.040.30 ± 0.15
PO43-0.00 ± 0.000.05 ± 0.020.00 ± 0.000.00 ± 0.000.01 ± 0.01
Si(OH)40.02 ± 0.000.32 ± 0.120.08 ± 0.020.01 ± 0.000.09 ± 0.03
TA0.78 ± 0.553.63 ± 1.811.38 ± 0.410.31 ± 0.031.24 ± 0.52
Ca2+0.22 ± 0.071.10 ± 0.120.57 ± 0.410.14 ± 0.050.79 ± 0.06



Calculated fluxes mmol m−2 h−1
DIC0.72 ± 0.254.56 ± 2.140.53 ± 0.171.35 ± 0.63
RMIN0.58 ± 0.193.57 ± 1.670.38 ± 0.180.73 ± 0.38



Calculated quotients
RQ−0.61 ± 0.11−1.79 ± 0.73−0.86 ± 0.45−0.73 ± 0.19
C:N6.12 ± 3.794.58 ± 1.174.36 ± 1.522.78 ± 0.88
εD22.27 ± 15.4427.65 ± 5.9454.54 ± 41.1991.31 ± 18.08



Diffusive O2uptake mmol m−2 h−1
−0.33 ± 0.07U: −0.35 ± 0.08−0.24 ± 0.25−0.14 ± 0.03U: −0.24 ± 0.05
F: −0.37 ± 0.05F: −0.30 ± 0.15
O2penetration depth mm
1.17 ± 0.30U: 1.06 ± 0.181.80 ± 0.352.73 ± 0.40U: 1.85 ± 0.74
F: 1.38 ± 0.22F: 1.68 ± 0.57
H2S horizon depth mm
15.78 ± 9.19U: 13.74 ± 6.6616.56 ± 4.475.1 ± 2.3U: 3.27 ± 2.27
F: 21.05 ± 1.28F: 7.15 ± 3.71
Incidence of surface pH peaks
9U: 411U: 0
F: 0F: 1
Example time series results from defaunated core incubations before (open symbols, O2: thin line) and after (filled symbols, O2: thick line) the addition of A. marina in July 2011. Solute concentrations are expressed in μmol L−1. Summary of porewater profiling and flux measurements in intact and defaunated core incubations before and after lugworm addition. Porewater profiling results from defaunated cores after lugworm addition are presented for undisturbed sediment patches (U) and microprofiles measured directly over A. marina fecal casts (F). Fluxes of and Si(OH)4 were directed into the overlying water, while fluxes were generally directed into the sediment (Table 1). fluxes were not different from zero in the absence of lugworms. Nutrient fluxes were greater in summer than in fall ( = 32 and 38,  = 34 and 38,  = 39.5 and 40 in defaunated cores before and after lugworm addition respectively, with n1 = 8, n2 = 5, p < 0.05), with the exception of fluxes ( = 14 and p = 0.22 in defaunated cores;  = 5 and p = 0.01 after lugworm addition, with n1 = 8 and n2 = 5). Lugworm activity significantly enhanced the efflux of (July: U = 1, n1 = n2 = 8, p < 0.001; November: U = 0, n1 = n2 = 5, p < 0.01), (July: U = 0, n1 = n2 = 8, p < 0.0001; November: U = 3, n1 = n2 = 5, p = 0.03) and Si(OH)4 (July: U = 0, n1 = n2 = 8, p < 0.0001; November: U = 0, n1 = n2 = 5, p < 0.01) and the influx of NO3- (July: U = 54, n1 = n2 = 8, p = 0.01; November: U = 25, n1 = n2 = 5, p < 0.01), with a greater effect in July than in November ( =  = 37 at p < 0.01; USi = 40 at p < 0.001;  = 6 at p = 0.02 with n1 = 8 and n2 = 5). and Si(OH)4 efflux and influx were also greater in intact cores than in defaunated cores in November ( = 24,  = 25,  = 0 with n1 = n2 = 5, p < 0.01). Lugworm activity enhanced the efflux of alkalinity (U = 64, n1 = n2 = 8, p < 0.0001 in July, and U = 25, n1 = n2 = 5, p < 0.01 in November) and calcium (U = 16, n1 = n2 = 8, p = 0.01 in July, and U = 15, n1 = n2 = 5, p < 0.02 in November), with a greater effect in July than in November (U = 34 and p = 0.02 for TA and U = 12 and p = 0.03 for Ca2+ with n1 = 8, n2 = 5) as shown in Table 1. In November, Ca2+ (U = 15, n1 = n2 = 5, p = 0.02) and TA effluxes (U = 25, n1 = n2 = 5, p < 0.01) in intact cores were greater than in defaunated cores, and similar to fluxes measured in defaunated cores after lugworm addition.

Porewater solute distributions

Examples of O2, H2S, and pH microprofiles in core incubations in July and November 2011 are shown in Fig. 3, and a summary of parameters derived from these measurements are reported in Table 1. Oxygen penetrated deeper in sediments in fall than in summer (U = 0, n1 = 9, n2 = 6, p < 0.001 in defaunated cores before lugworm addition and U = 23, n1 = 11, n2 = 10, p = 0.01 in defaunated cores after lugworm addition) and diffusive O2 uptake (DOU) was lower in fall (U = 54, n1 = 9, n2 = 6, p < 0.001 in defaunated cores before lugworm addition and U = 38.5, n1 = 6, n2 = 7, p < 0.01 in undisturbed sediments in defaunated cores after lugworm addition), except immediately over Arenicola marina faecal casts in defaunated cores after lugworm addition (U = 12, n1 = n2 = 4, p = 0.17). In the fall, DOU and O2 penetration depth in defaunated cores after lugworm addition approached those measured in intact cores. Oxygen penetration depth was greater and DOU smaller in defaunated cores relative to both intact cores (UOPD = 2, n1 = 10, n2 = 6, p < 0.01 and U = 2, n1 = 10, n2 = 6, p = 0.001) as well as cores with lugworms (U = 5.5, n1 = 10, n2 = 6, p < 0.01 and UDOU = 3.5, n1 = 10, n2 = 6, p = 0.002). These differences were not significant in July.
Fig. 3

Example porewater microprofiles from core incubations in July (top row) and November 2011 (bottom row), including measurements in intact (d) and defaunated cores before (a, e) and after lugworm addition (b, c, f, g). In defaunated cores after lugworm addition, examples of microprofiles measured in relatively undisturbed patches of sediment (b, f) and over A. marina fecal casts (c, g) are shown.

Example porewater microprofiles from core incubations in July (top row) and November 2011 (bottom row), including measurements in intact (d) and defaunated cores before (a, e) and after lugworm addition (b, c, f, g). In defaunated cores after lugworm addition, examples of microprofiles measured in relatively undisturbed patches of sediment (b, f) and over A. marina fecal casts (c, g) are shown. The sulfide horizon in sediments was shallower in fall than in summer (U = 42, n1 = 9, n2 = 6, p = 0.04 and U = 103.5, n1 = 11, n2 = 10, p < 0.001 in defaunated cores before and after lugworm addition, respectively). Porewater pH generally declined with depth in the sediment, but replicate profiles in July revealed a distinct vertical pH distribution, with a surface peak at the bottom of the oxic zone and a strong sub-surface pH minimum deeper in the sediment. These characteristic pH profiles were observed in defaunated cores before lugworm addition and in undisturbed patches of sediment after lugworm addition (Table 1). This characteristic pH signature was not observed in November, except in one out of several replicate profiles measured in each treatment. Total dissolved Fe distributions in porewater showed a subsurface maximum around 1 cm depth in the sediment in November (Fig. 4). Peak concentrations in defaunated cores were lower than in intact cores and in defaunated cores after lugworm addition. Porewater Ca2+ profiles show a surface peak in all treatments (Fig. 4). Alkalinity profiles in intact cores show a concomitant surface maximum, followed by a broader maximum centered at about 5 cm depth (Fig. 4). Porewater TA distributions in defaunated cores increase with depth to high values between 8 and 10 mEq L−1 at about 5 cm depth, and decrease only slightly below. After lugworm addition, porewater TA distributions at depth approach the values observed in intact cores, with a subsurface peak between 1 and 2 cm depth.
Fig. 4

Replicate porewater profiles of total dissolved Fe, Ca2+, and TA measured in November 2011 in (a) intact cores and defaunated cores (b) before and (c) after lugworm addition.

Replicate porewater profiles of total dissolved Fe, Ca2+, and TA measured in November 2011 in (a) intact cores and defaunated cores (b) before and (c) after lugworm addition.

Discussion

The impact of lugworm activity on porewater exchange

In this study, the activity of the lugworm Arenicola marina was determined by comparing porewater exchange rates measured by NaBr tracer fluxes in defaunated cores before and after lugworm addition as well as intact cores. The importance of porewater exchange due to lugworm activity, or bioirrigation, was demonstrated in summer and fall experiments, as exchange rates in defaunated cores increased after lugworm addition (Table 1). The lugworm bioirrigation rate (I) was 59 L m−2 d−1 in July and 21 L m−2 d−1 in November. Bioirrigation was therefore stronger in summer, which may be due to a metabolic response of A. marina to the higher temperature associated with a higher O2 supply needed due to stronger lugworm respiration, or due to more reducing conditions in sediments associated with higher microbial community respiration rates in sediments in summer, although this cannot be confirmed with our data. Porewater exchange in intact cores was also stronger than in defaunated cores in November (Table 1), resulting in a bioirrigation rate of 6 L m−2 d−1 associated with the natural macrofaunal community. The measured rates of bioirrigation are lower than previous estimates of lugworm bioirrigation rates (120–160 L m−2 d−1 at a population density of 50 individuals m−2, Kristensen, 2001). Low bioirrigation rates in defaunated cores after lugworm addition may be due to an inhibitory effect of accumulated reduced metabolites such as sulfide in sediment porewater on polychaete feeding and burrowing activities (Fuller, 1994). Alternately, this may be generally indicative of a wall effect, or a change in the activity of macrofauna in an enclosure (e.g., Du Clos et al., 2013), which may also explain the low bioirrigation rates observed in intact cores. Measured porewater exchange rates are comparable to rates of porewater advection induced in permeable sands by wave and tidal pumping or bottom currents over sediment topography (0–100 L m−2 d−1, Precht and Huettel, 2003, Janssen et al., 2005). The bioirrigation rates measured in core incubations yield individual pumping rates of 0.52 and 0.19 L ind−1 d−1 in July and November, respectively, given a sediment surface area of 177 cm2 per core and a polychaete density of 2 individuals per core (∼120 ind m−2). Individual pumping rates vary depending on the size and activity of individuals, but measured rates are at the lower end of previously reported values, which range from 0.4 to 3.2 L ind−1 d−1 (Riisgård et al., 1996, Kristensen, 2001, Kristensen and Kostka, 2005, Meysman et al., 2006, Na et al., 2008, Volkenborn et al., 2010). If the lugworm feeding pockets are at 15 cm depth, then the flushing time for porewater above this horizon in the cores (1.09 L) was about 1.0 day in July and 2.9 days in November. These estimates of porewater residence time provide an indication of the rapid timescale for the flushing of accumulated porewater metabolites in the defaunated cores after lugworm addition.

The impact of lugworm activity on sediment community metabolism and nutrient fluxes

In both experiments and in all treatments, TOU in core incubations was greater than DOU as measured by microelectrode profiling (Table 1). High O2 consumption in intact cores and defaunated cores after the addition of Arenicola marina is likely a combined effect of respiration by lugworms and a stimulation of sediment community oxygen consumption by bioirrigation (enhanced solute transport) and bioturbation (enhanced particle mixing). By supplying dissolved O2 to deeper sediments (bioirrigation) and translocating reduced compounds from depth to the surface (bioturbation), lugworm activities enhance the O2 exposure of previously anoxic sediment and porewater and therefore increase the reoxidation of reduced metabolites in sediments (Banta et al., 1999, Forster et al., 1999, Kristensen, 2001). Polychaete burrows also enhance sediment community oxygen consumption by increasing sediment permeability, trapping labile organic material, and intensifying microbial respiration associated with organic-rich burrow linings (Wenzhöfer and Glud, 2004, Glud, 2008). In defaunated cores, TOU and DOU were expected to be nearly equivalent, due to the absence of bioirrigation and bioturbation by macrofauna. Nevertheless, TOU was significantly greater than DOU in defaunated cores both in July (U = 72, n1 = 9, n2 = 8, p < 0.001) and November (U = 30, n1 = 6, n2 = 5, p < 0.01). The observed discrepancy between TOU and DOU in defaunated cores is likely due to a combination of factors, including sediment topography increasing interfacial surface area and residual bioturbation by meiofauna resistant to low O2 conditions. Indeed, living copepods were observed in November when opening cores after defaunation. By convention, fauna-mediated O2 uptake is calculated by subtracting DOU from TOU (Glud, 2008). Yet, the large discrepancy between TOU and DOU in the defaunated cores suggests that processes other than lugworm activity influenced the DOU/TOU ratio. To estimate the lugworm-induced component of sediment O2 consumption, we therefore subtracted the TOU in defaunated cores from the TOU measured after lugworm addition. In this way, lugworms contributed an additional O2 uptake of 1.22 and 0.51 mmol m−2 h−1 in July and November, representing 58% and 53% of TOU, respectively (Table 1). These estimates are on the low end of previously reported rates of fauna-mediated O2 uptake, which range widely from 0.3 to 7.7 mmol m−2 h−1, representing 10–80% of TOU (Forster and Graf, 1995, Kristensen, 2001, Webb and Eyre, 2004, Na et al., 2008, D’Andrea and DeWitt, 2009, Volkenborn et al., 2010). The shallower O2 penetration, greater TOU, DOU and nutrient fluxes observed in July reflect a greater sediment community metabolic activity than in November (Table 1). This seasonal difference in benthic metabolism may be due to the higher ambient temperature or a greater labile organic matter content in sediments in summer. The effect of temperature alone can be approximated using an estimate of the temperature dependence of microbial respiration in sediments, represented by Q10, which designates the increase in respiration associated with a 10 °C increase in temperature. In coastal sediments, Q10 is typically in the range of 2–3 (Therkildsen and Lomstein, 1993, Thamdrup and Fleischer, 1998, Hancke and Glud, 2004), so a temperature decrease of 4 °C from July to November would result in a decrease in sediment community metabolism by 31–55%. However, the observed decreases in O2 uptake rates are 100% and greater, with the exception of DOU in defaunated cores after lugworm addition, suggesting that other factors may also contribute to the seasonal difference in sediment O2 uptake. One possible explanation for the large seasonal difference in sediment O2 uptake may be an increased availability of labile organic matter in July relative to November, although this cannot be verified here. Another possible explanation is the transient oxidation of a reservoir of reduced compounds such as iron sulfides. In principle the respiratory quotient (RQ), which represents the ratio of C remineralized (RMIN) to O2 consumed (TOU) by sediment community respiration, can be used to examine the degree of reoxidation of reduced compounds associated with anaerobic remineralization (Therkildsen and Lomstein, 1993). For example, the oxidation of Redfield organic matter to CO2 and will result in a RQ of 0.77 (Paulmier et al., 2009). In principle, RQ will increase with an increasing importance of suboxic and anaerobic respiratory pathways, such as denitrification, iron oxide reduction, and sulfate reduction, coupled to the burial of reduced metabolites in the form of iron sulfide minerals. Measured RQ values in November did not change significantly after lugworm addition, and did not differ significantly from the decomposition of Redfield organic matter (Table 1), suggesting that reduced metabolites produced by anaerobic remineralization were efficiently reoxidized without significant burial of iron sulfide minerals. In defaunated cores in July, measured RQ was lower than that observed in November (Table 1). Although this difference was not significant (U = 22.5, n1 = 7, n2 = 10, p = 0.12), a higher O2 uptake relative to DIC release in July may be attributed to the transient reoxidation of accumulated reduced compounds in sediments, associated with the activity of long distance electron transport (LDET, Risgaard-Petersen et al., 2012; see discussion in Section 4.5). After lugworm addition, higher and more variable values of RQ were observed in July, suggesting an enhanced non-steady-state flushing of DIC produced in deeper layers (Table 1), released by bioirrigation. This accumulated DIC was likely produced by anaerobic respiration, in general agreement with the large accumulation of alkalinity in deeper sediments in defaunated cores (Fig. 4). Therefore, the high RQ values observed in defaunated cores after lugworm addition in July may be an artifact of the short period (2 days) between lugworm addition and flux measurements, only twice the flushing time calculated for these cores by bioirrigation (see Section 4.1). In November, porewater solute distributions were likely at or near steady state at the time solute fluxes were measured in defaunated cores after lugworm addition due to lower respiration rates, despite an equivalent delay between lugworm addition and final flux measurements (6 days, equal to about twice the calculated flushing time of 2.9 days). This can explain the lower and less variable RQ values in defaunated cores after lugworm addition in November (Table 1). Presumably, greater benthic metabolic activity in summer is expected to coincide with a shallower sulfide horizon due to higher rates of oxygen consumption and sulfate reduction in sediments. However in our experiments, the opposite was observed, with sulfide oxidation occurring deeper in sediments in July than in November (Table 1, Fig. 3). This may be due to the activity of LDET, a process capable of creating a wide suboxic zone, in July, as discussed in Section 4.4. Lugworm activity enhanced the efflux of , , and Si(OH)4, in agreement with a positive effect on total benthic metabolism (Huettel, 1990, Banta et al., 1999). In particular, measured DIN effluxes exceeded predictions based on rates of remineralization of Redfield ratio organic matter, resulting in C:N ratios generally below Redfield (6.6, Table 1). This trend is due to high NH4+ efflux relative to RMIN, which may have resulted from the delayed desorption of accumulated NH4+ in sediments produced by anaerobic respiration (Mackin and Aller, 1984). Particle mixing by bioturbation also promotes the turnover of oxidants in sediments, by transporting reoxidized metabolites such as iron oxides to depth for reductive dissolution, and transporting reduced compounds such as iron sulfide minerals upward into the oxic surface layer for reoxidation. As such, sediment reworking activities enhance the reactive Fe content in coastal sediments and increase the relative importance of Fe(III) reduction in organic matter remineralization (Canfield et al., 1993, Kostka et al., 2002). The importance of bioturbation in maintaining an active Fe cycle in sediments was confirmed by the lower porewater Fe(II) concentrations observed in defaunated sediments in November, indicative of weaker Fe reduction rates, relative to intact sediments and defaunated sediments after lugworm addition (Fig. 4).

Alkalinity production in sediments

Alkalinity generation in sediments, by denitrification and anaerobic respiration, is thought to account for an important fraction of CO2 uptake in the North Sea (Thomas et al., 2009). With the high shellfish densities contributing biogenic CaCO3 to sediments in the Oosterschelde (Coosen, 1986), one would expect that CaCO3 dissolution may also represent an important source of TA in these sediments, which we evaluate here based on the ratio of Ca2+ to TA efflux (rCa:TA). This ratio is expected to approach ½ if CaCO3 dissolution is the dominant source of TA in sediments, while lower ratios indicate important alternative TA sources such as denitrification or iron sulfide burial. In November, the net TA release from sediments was almost entirely due to CaCO3 dissolution (rCa:TA = 0.52 ± 0.10 for defaunated cores before and after lugworm addition and 0.43 ± 0.15 for intact cores). However, porewater profiles measured in November suggested two separate TA sources in surface sediments and at depth (Fig. 4). In intact cores, overlapping Ca2+ and TA maxima in surface sediments signaled a TA source associated with carbonate dissolution, while a second TA maximum between 3 and 6 cm depth was produced by organic matter remineralization coupled to iron and sulfate reduction. These anaerobic respiration pathways produce TA, Fe(II) and HS− at depth, which combine to form reduced sulfur minerals such as iron monosulfide (FeS) and pyrite (FeS2). The accumulation of these minerals results in the net production of TA at depth (Hu and Cai, 2011), which presumably obscured the surface TA maximum associated with carbonate dissolution in defaunated cores before and after lugworm addition (Fig. 4). Reoxidation of these reduced iron and sulfide compounds in the presence of O2 limits their accumulation and releases acidity, thereby neutralizing TA produced by anaerobic respiration, lowering porewater saturation state (Ω) with respect to carbonate minerals, and promoting CaCO3 dissolution. Deeper O2 penetration in November due to lower sediment metabolic rates (Table 1, Fig. 3) likely favored the reoxidation of reduced compounds, and therefore net TA production by carbonate dissolution. In July, CaCO3 dissolution represented between 23 and 69% of the total TA flux from sediments (rCa:TA = 0.22 ± 0.08), with the exception of one core in which net calcification was observed. The remaining TA production in July may be due to net suboxic or anaerobic mineralization as discussed above, which should be most important in summer due to the greater benthic metabolic activity (Table 1). However, other TA sources may also have been important in July such as long distance electron transport, as will be discussed further below (Section 4.4). Alkalinity and Ca2+ efflux were enhanced by macrofaunal activity (Table 1). To assess the potential role of this effect in natural sediments, it is important to examine whether the enhanced TA and Ca2+ fluxes measured in defaunated cores after lugworm addition may have been experimental artifacts associated with a transient release of solutes built up in sediment porewater during defaunation (Fig. 4), or the non-steady-state reoxidation of reduced metabolites that accumulated in sediments during defaunation, resulting in the acidification of sediment porewater and enhanced CaCO3 dissolution. An important obstacle in evaluating such transient effects in this study is that bioirrigation is inherently a non-steady state process. Here, an equilibration period equivalent to about 2 times the residence time of porewater with respect to measured bioirrigation rates (τres) was included in the experimental design, before the measurement of solute fluxes and porewater solute distributions after lugworm addition to defaunated cores, to permit porewater solute distributions to re-equilibrate with bioirrigation. As observed in the November experiment, porewater distributions of Ca2+, TA and Fe2+ measured after lugworm addition approach those measured in intact cores (Fig. 4). This suggests that the equilibration period was sufficient to re-establish equilibrium in the porewater carbonate system, and the observed effect of bioirrigation on solute fluxes was not a transient one. This is consistent with the observation that Ca2+ and TA fluxes measured in defaunated cores after lugworm addition in November approached those measured in intact cores prior to defaunation, which were both >3× higher than fluxes in defaunated cores. In July, solute fluxes in intact cores and porewater Ca2+, TA and Fe2+ distributions were not measured. However, the effect of lugworm addition in July was similar to that observed in November, resulting in a 4.7-and 4.0-fold increase in TA flux in July and November, and a 5.0-fold and 5.6-fold increase in Ca2+ flux in July and November. Based on (1) the similarity in the effect of lugworms on TA and Ca2+ fluxes in July and November, (2) the similarity in the relative equilibration period between lugworm addition in defaunated cores and the measurement of solute fluxes in July and November (about 2 τres), and (3) the similarity in porewater solute distributions in intact and defaunated cores after lugworm addition in November, we infer that the observed effect of lugworm activity on Ca2+ and alkalinity flux was not likely an experimental artifact. This conclusion is confirmed by the observation of transient TA fluxes for 2.8 days immediately following lugworm addition to defaunated cores collected in November 2011 (see Supplementary Material), only slightly less than the 2.9 day τres calculated for the November experiment (Section 4.1). The release of Ca2+ and TA from Oosterschelde intertidal sediments is indicative of CaCO3 dissolution resulting from the production of metabolic acidity in these sediments, since coastal surface waters are supersaturated with respect to CaCO3. Lugworm activity enhanced metabolic dissolution efficiency (Table 1), although the effect was significant only in November (U = 21, n1 = n2 = 5, p = 0.05). It is interesting to note that the response of metabolic dissolution efficiency, εD, to lugworm activity runs counter to the effect of porewater advection in biogenic carbonate sands. Rao et al. (2012) reported a decrease in metabolic CaCO3 dissolution efficiency with increased porewater advection in reef sands due to the reduced residence time of metabolic acidity in porewater. In terrigenous sediments, however, carbonate cycling is intimately linked to coupled Fe and S cycling (Thomas et al., 2009, Faber et al., 2012). It is likely that both porewater flushing and particle reworking by lugworms increase εD in Oosterschelde sands, as observed in November, by favoring aerobic mineralization and the reoxidation of reduced compounds in sediments as discussed above (Banta et al., 1999), enhancing the production of acidity relative to total benthic metabolism, and increasing the sediment volume exposed to undersaturated conditions with respect to CaCO3. The absence of a significant effect of lugworm activity on εD in July may be attributed to a potentially confounding effect resulting from the development of LDET in core incubations in July, which will be discussed in the next section.

The development of long distance electron transport in core incubations

It has recently been proposed that the pH distribution in coastal sediments can be altered by long distance electron transport (LDET), mediated by electrogenic filamentous bacteria, which couples spatially separated redox half-reactions (Nielsen et al., 2010). These newly discovered sulfur-oxidizing bacteria, belonging to the Desulfobulbaceae family (Pfeffer et al., 2012), can remove sulfide down to 1–2 cm depth in the sediment and reduce O2 near the sediment-water interface, thus potentially creating a large suboxic zone. The local proton production and consumption associated with these oxidation and reduction half-reactions generate distinctive porewater pH signatures, as observed in Oosterschelde core incubations in July. Sharp pH peaks in darkened, oxic surface sediments overlying a thick suboxic zone are an important indication of proton consumption associated with oxygen uptake by LDET, since all other processes occurring in the oxic zone are known to generate protons, with the exception of photosynthesis (Nielsen et al., 2010). The pH minimum at depth associated with sulfide oxidation by LDET has been observed to stimulate the dissolution of carbonates and iron sulfides (Risgaard-Petersen et al., 2012). The remobilized Ca2+ and Fe2+ subsequently diffuse upward into the oxic zone, where they are deposited as high Mg calcite and iron oxide minerals. In this way, LDET promotes carbonate and iron cycling in coastal sediments, and therefore may also play an important role in alkalinity generation, modulating benthic fluxes of dissolved inorganic carbon and alkalinity. We infer that LDET is active in July but negligible in November based on porewater microprofiles measured in core incubations (Table 1, Fig. 3). Porewater pH distributions with peaks at the base of the oxic zone and minima in deeper suboxic layers, characteristic of LDET, were predominantly observed in July, and only on rare occasions in November. Other possible explanations for surface pH maxima at the base of the oxic zone include 1) photosynthesis, which we have excluded in this experiment by conducting incubations in darkness, and 2) the aerobic oxidation of sulfide to elemental sulfur, which can be excluded here given the absence of sulfide in the upper 1–2 cm of H2S profiles measured in parallel. Therefore, we consider that LDET is the most likely explanation for these porewater pH profiles. Indeed, Nielsen et al. (2010) first described this distinctive pH signature and concluded, based on similar measurements in core incubations, that these observations are an important indication of LDET in sediments. The occurrence of LDET explains the higher TOU, DOU, and RQ, shallower OPD and deeper sulfide horizons observed in defaunated cores in July relative to November. Note also that metabolic dissolution efficiency, εD, was generally lower in July relative to November. One explanation for this may stem from the occurrence of LDET in July. While low pH conditions induced by LDET in deeper sediments stimulate CaCO3 dissolution, the high porewater pH and Ω produced by LDET in surface sediments promotes interfacial calcification (Risgaard-Petersen et al., 2012), and may thereby reduce net metabolic carbonate dissolution and εD in summer. It is not possible to determine the relative importance of LDET and remineralization in controlling εD at this time, but the potential importance of LDET in sediment TA generation warrants further study. In July, the porewater LDET signature described above was strongest in defaunated cores prior to lugworm addition, with weaker and less frequent signals observed after lugworm addition only between fecal casts. This observation confirms that bioturbation by benthic fauna disrupts LDET, as discussed by Malkin et al. (2014) and suggested by Nielsen et al. (2010). The indication that LDET developed in summer but not in the fall also suggests the potential importance of seasonality on LDET development.

Conclusions

Our results confirm previous reports of enhanced benthic metabolism and nutrient fluxes in the presence of burrowing infauna such as Arenicola marina, and demonstrate for the first time, the positive effect of biological mixing on alkalinity production in intertidal sediments. Two ex situ experiments in July and November 2011 revealed the importance of seasonality in the biogeochemistry of Oosterschelde sediments. Greater benthic metabolic activity in summer, likely due to higher temperatures, led to higher remineralization and O2 consumption rates, shallower O2 penetration, higher nutrient, Ca2+ and TA fluxes than in the fall. Stronger bioirrigation in summer also resulted in a more pronounced positive effect of A. marina on interfacial solute fluxes than in the fall. An unexpected result was the indication of microbial long distance electron transport in these sediments in summer. Our measurements provide direct confirmation of a strong alkalinity source in coastal North Sea sediments, which was previously suggested by extensive water column surveys (Thomas et al., 2009). Assuming the observed TA production rates measured in this study are representative, and integrating this benthic TA production rate over the intertidal area of the southern North Sea (approximately 5000 km2) implies an annual alkalinity source of 53–160 Gmol. This corresponds reasonably well with the estimate of Thomas et al. (2009) of 73 Gmol TA produced annually in the Wadden Sea. On the ecosystem scale, benthic alkalinity generation buffers CO2 release by autochthonous CaCO3 production and organic matter decomposition in the water column and in sediments, therefore facilitating a net CO2 drawdown from the atmosphere (Thomas et al., 2009). It is therefore critical to understand the biogeochemical processes responsible for alkalinity production in coastal sediments. Alkalinity production in intertidal Oosterschelde sediments was entirely due to carbonate dissolution in the fall, with other processes, including anaerobic respiration and LDET, playing an important role in summer. In agreement with previous studies, sediment reworking enhanced Fe turnover in sediments. The effect of lugworm mixing on Fe reoxidation and porewater O2 supply, and the ensuing production of metabolic acidity in surface sediments may also explain the observed increase in metabolic CaCO3 dissolution efficiency in the presence of biological mixing in the fall. A similar response of dissolution efficiency, εD, was not observed in summer, however, when εD was generally lower, either due to greater net anaerobic respiration rates or to enhanced interfacial calcification associated with LDET. The importance of carbonate dissolution in fueling alkalinity production in Oosterschelde sediments is noteworthy in view of previous reports that anaerobic respiration and denitrification represent the dominant alkalinity sources in sediments (Thomas et al., 2009, Hu and Cai, 2011). Our results underscore the importance of sediment geochemical composition and the mode of porewater and particle mixing, which are likely to account for much variability in the relative importance of different benthic alkalinity sources (Krumins et al., 2013).
  10 in total

Review 1.  Ocean acidification and its potential effects on marine ecosystems.

Authors:  John M Guinotte; Victoria J Fabry
Journal:  Ann N Y Acad Sci       Date:  2008       Impact factor: 5.691

2.  Electric currents couple spatially separated biogeochemical processes in marine sediment.

Authors:  Lars Peter Nielsen; Nils Risgaard-Petersen; Henrik Fossing; Peter Bondo Christensen; Mikio Sayama
Journal:  Nature       Date:  2010-02-25       Impact factor: 49.962

3.  Pathways of organic carbon oxidation in three continental margin sediments.

Authors:  D E Canfield; B B Jorgensen; H Fossing; R Glud; J Gundersen; N B Ramsing; B Thamdrup; J W Hansen; L P Nielsen; P O Hall
Journal:  Mar Geol       Date:  1993       Impact factor: 3.548

4.  The oceanic sink for anthropogenic CO2.

Authors:  Christopher L Sabine; Richard A Feely; Nicolas Gruber; Robert M Key; Kitack Lee; John L Bullister; Rik Wanninkhof; C S Wong; Douglas W R Wallace; Bronte Tilbrook; Frank J Millero; Tsung-Hung Peng; Alexander Kozyr; Tsueno Ono; Aida F Rios
Journal:  Science       Date:  2004-07-16       Impact factor: 47.728

5.  Evidence for upwelling of corrosive "acidified" water onto the continental shelf.

Authors:  Richard A Feely; Christopher L Sabine; J Martin Hernandez-Ayon; Debby Ianson; Burke Hales
Journal:  Science       Date:  2008-05-22       Impact factor: 47.728

6.  Filamentous bacteria transport electrons over centimetre distances.

Authors:  Christian Pfeffer; Steffen Larsen; Jie Song; Mingdong Dong; Flemming Besenbacher; Rikke Louise Meyer; Kasper Urup Kjeldsen; Lars Schreiber; Yuri A Gorby; Mohamed Y El-Naggar; Kar Man Leung; Andreas Schramm; Nils Risgaard-Petersen; Lars Peter Nielsen
Journal:  Nature       Date:  2012-10-24       Impact factor: 49.962

7.  Complexometric titration of calcium in the presence of larger amounts of magnesium.

Authors:  S Tsunogai; M Nishimura; S Nakaya
Journal:  Talanta       Date:  1968-04       Impact factor: 6.057

8.  Impact of polychaetes (Nereis spp. and Arenicola marina) on carbon biogeochemistry in coastal marine sediments.

Authors:  E Kristensen
Journal:  Geochem Trans       Date:  2001-10-30       Impact factor: 4.737

9.  Natural occurrence of microbial sulphur oxidation by long-range electron transport in the seafloor.

Authors:  Sairah Y Malkin; Alexandra M F Rao; Dorina Seitaj; Diana Vasquez-Cardenas; Eva-Maria Zetsche; Silvia Hidalgo-Martinez; Henricus T S Boschker; Filip J R Meysman
Journal:  ISME J       Date:  2014-03-27       Impact factor: 10.302

10.  Impacts of ocean acidification on marine organisms: quantifying sensitivities and interaction with warming.

Authors:  Kristy J Kroeker; Rebecca L Kordas; Ryan Crim; Iris E Hendriks; Laura Ramajo; Gerald S Singh; Carlos M Duarte; Jean-Pierre Gattuso
Journal:  Glob Chang Biol       Date:  2013-04-03       Impact factor: 10.863

  10 in total
  4 in total

1.  Rapid redox signal transmission by "Cable Bacteria" beneath a photosynthetic biofilm.

Authors:  S Y Malkin; F J R Meysman
Journal:  Appl Environ Microbiol       Date:  2014-11-21       Impact factor: 4.792

2.  Olivine Dissolution in Seawater: Implications for CO2 Sequestration through Enhanced Weathering in Coastal Environments.

Authors:  Francesc Montserrat; Phil Renforth; Jens Hartmann; Martine Leermakers; Pol Knops; Filip J R Meysman
Journal:  Environ Sci Technol       Date:  2017-03-20       Impact factor: 9.028

3.  Effects of Bioadvection by Arenicola marina on Microphytobenthos in Permeable Sediments.

Authors:  Arjun Chennu; Nils Volkenborn; Dirk de Beer; David S Wethey; Sarah A Woodin; Lubos Polerecky
Journal:  PLoS One       Date:  2015-07-31       Impact factor: 3.240

4.  Increasing densities of an invasive polychaete enhance bioturbation with variable effects on solute fluxes.

Authors:  L Kauppi; G Bernard; R Bastrop; A Norkko; J Norkko
Journal:  Sci Rep       Date:  2018-05-16       Impact factor: 4.379

  4 in total

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