Phytoplankton and dimethylsulfide dynamics at two contrasting Arctic ice edges
- 1Département de biologie, Québec-Océan, Université Laval, Québec, Quebec, G1V 0A6, Canada
- 2Institut des sciences de la mer de Rimouski (ISMER), Université du Québec à Rimouski, Rimouski, Quebec, G5L 3A1, Canada
- 3Maurice Lamontagne Institute, Fisheries and Oceans Canada, Mont-Joli, Quebec, G0J 2L0, Canada
- 4Fisheries and Oceans Canada, Winnipeg, Manitoba, R3T 2N6, Canada
Correspondence: Martine Lizotte (email@example.com)
Arctic sea ice is retreating and thinning and its rate of decline has steepened in the last decades. While phytoplankton blooms are known to seasonally propagate along the ice edge as it recedes from spring to summer, the substitution of thick multiyear ice (MYI) with thinner, ponded first-year ice (FYI) represents an unequal exchange when considering the roles sea ice plays in the ecology and climate of the Arctic. Consequences of this shifting sea ice on the phenology of phytoplankton and the associated cycling of the climate-relevant gas dimethylsulfide (DMS) and its precursor dimethylsulfoniopropionate (DMSP) remain ill constrained. In July–August 2014, two contrasting ice edges in the Canadian High Arctic were explored: a FYI-dominated ice edge in Barrow Strait and a MYI-dominated ice edge in Nares Strait. Our results reveal two distinct planktonic systems and associated DMS dynamics in connection to these diverging ice types. The surface waters exiting the ponded FYI in Barrow Strait were characterized by moderate chlorophyll a (Chl a, <2.1 µg L−1) as well as high DMSP (115 nmol L−1) and DMS (12 nmol L−1), suggesting that a bloom had already started to develop under the markedly melt-pond-covered (ca. 40 %) FYI. Heightened DMS concentrations at the FYI edge were strongly related to ice-associated seeding of DMS in surface waters and haline-driven stratification linked to ice melt (Spearman's rank correlation between DMS and salinity, , p<0.001, n=20). However, surface waters exiting the MYI edge at the head of Nares Strait were characterized by low concentrations of Chl a (<0.5 µg L−1), DMSP (<16 nmol L−1), and DMS (<0.4 nmol L−1), despite the nutrient-replete conditions characterizing the surface waters. The increase in autotrophic biomass and methylated sulfur compounds took place several kilometers (ca. 100 km) away from the MYI edge, suggesting the requisite for ice-free, light-sufficient conditions for a phytoplankton bloom to fully develop and for sulfur compound dynamics to follow and expand. In light of the ongoing and projected climate-driven changes to Arctic sea ice, results from this study suggest that the early onset of autotrophic blooms under thinner, melt-pond-covered ice may have vast implications for the timing and magnitude of DMS pulses in the Arctic.
The rapid warming of the Arctic represents one of the most conspicuous impacts of global change driven by human activities (IPCC, 2013). This warming has already translated into widespread and profound modifications in hydrological and ecological systems including, but not limited to, those related to sea ice dynamics. Reductions in snow cover, in the minimum sea ice cover in summer and in the occurrence of multiyear (MYI) ice are afoot and hastening (Rothrock et al., 1999; Serreze et al., 2007; Stroeve et al., 2007, 2008; Comiso et al., 2008; Serreze and Stroeve, 2015; Bokhorst et al., 2016; AMAP, 2017). If warming continues unmitigated, a summer ice-free Arctic Ocean is predicted to occur during the second half of this century (Wang and Overland, 2012). In polar regions, primary production is driven by light and nutrient availability (Loeng et al., 2005; Arrigo, 2014), which are heavily influenced by the presence of sea ice. Seasonally, the first autotrophic organisms to benefit from the vernal increase in light in the Arctic are ice algae that develop mainly in the bottom ca. 2–5 cm of the ice (Gradinger, 2009; Galindo et al., 2014; van Leeuwe et al., 2018). During this period, light intensities under thick ice are commonly too low to allow phytoplankton growth; however blooms may develop in ice-free waters in long narrow bands (20–100 km) trailing along the ice edge (Sakshaug and Skjoldal, 1989). These ice-edge blooms could account for up to 50 % of the annual primary production in the Arctic Ocean (Perrette et al., 2011) and represent the greatest supply of energy to the marine Arctic ecosystem (Wassmann et al., 2008). Later in the growing season, phytoplankton blooms can also develop under the ice as light penetration through the ice pack is heightened due to snow melting, ice thinning, and the development of melt ponds (Fortier et al., 2002; Mundy et al., 2007; Arrigo et al., 2012; Galindo et al., 2014). The gradual loss of perennial sea ice, induced by climate change, is thus expected to influence the phenology of ice-edge blooms and the associated biogeochemical cycling of elements such as carbon, nitrogen, and sulfur. Based on data from an under-ice bloom from the Chukchi Sea (Arrigo et al., 2012), a modeling study by Palmer et al. (2014) shows that a 10 % melt pond cover at the surface of the ice pack could provide sufficient light to sustain the growth of shade-adapted algae under the ice. While conditions required for under-ice blooms were likely scarcer no more than 20 years ago, another modeling study found that nearly 30 % of the ice-covered Arctic Ocean may now support the formation of under-ice blooms during the month of July (Horvat et al., 2017).
Ice-covered seas not only shape marine food webs but they also influence ocean–atmosphere exchanges of energy, particles, and gases, including the climate-cooling compound dimethylsulfide (DMS) (Levasseur, 2013; Gabric et al., 2018). In the remote marine atmosphere, ocean-originating DMS represents the greatest gaseous precursor of sulfur-containing aerosols (Bates et al., 1992; Andreae and Crutzen, 1997). Sulfate aerosols may play an important role in the Earth's radiative budget as they scatter incoming shortwave radiation and influence cloud formation and precipitation by operating as cloud condensation nuclei (CCN) (Andreae, 1990; Curran and Jones, 2000; Liss and Lovelock, 2007). The potential importance of oceanic DMS emissions in driving climate cooling is greatest in regions characterized by low burdens of airborne particulates such as in the Arctic during summer (Chang et al., 2011; Browse et al., 2012; Carslaw et al., 2013; Leaitch et al., 2013).
DMS increases in great part from the degradation of the algal compound dimethylsulfoniopropionate (DMSP). The biosynthesis of DMSP is not restricted to eukaryotic organisms, however, and has also been found in marine bacterioplankton which can both produce it and break it down (Curson et al., 2017). DMSP holds several roles in unicellular algae including osmoregulation, cryoprotection, scavenging of free radicals, and overflow of carbon and sulfur (Stefels et al., 2007). The production of DMSP by unicellular algae is highly species-specific with Bacillariophyceae and Dinophyceae/Prymnesiophyceae being lesser and greater producers, respectively (Keller et al., 1989). The DMSP-to-DMS conversion involves the entire microbial food web, and part of the DMS is produced directly by phytoplankton while another part is produced indirectly via the release of DMSP in the aqueous environment and its subsequent degradation by bacterioplankton (Kiene et al., 2000; Simó, 2001; Stefels et al., 2007). The relative importance of these processes is unclear; however abiotic stressors involving sudden modifications in light intensity, salinity, and temperature may all contribute to the enhanced direct and indirect production of DMS by plankton communities (Sunda et al., 2002; Toole and Siegel, 2004).
In the Arctic, peaks in atmospheric methane sulfonic acid (MSA, a DMS proxy) have frequently been measured in spring and in midsummer (Sharma et al., 2012). The spring peaks have been attributed to phytoplankton blooms at low latitudes while the midsummer peaks have been related to more localized high-latitude ice-edge blooms (Sharma et al., 2012; Becagli et al., 2016, 2019). This interpretation is consistent with the elevated DMS concentrations generally measured at or close to ice edges in association with developing phytoplankton blooms in the North Atlantic and European sectors of the Arctic (Matrai and Vernet, 1997; Galí and Simó, 2010; Park et al., 2018). The high DMS concentrations measured at ice edges have been associated with a combination of factors including (1) an increase in phytoplankton biomass and hence DMSP concentrations, (2) the selective growth of strong DMSP and DMS producers such as the Prymnesiophyceae Phaeocystis, (3) a physiological stimulation of DMS production due to the increase in irradiance, and (4) an increase in bacterial activity (Galí and Simó, 2010). In the eastern Canadian High Arctic, only a fragmented picture of summer oceanic DMS distributions was available until recently and none of the snapshots captured the presumably most biologically productive time of July–August: average of 1.1 nmol DMS L−1 in the North Water and Nares Strait in June (Bouillon et al., 2002), average of 1.3 nmol DMS L−1 in northern Baffin Bay and Lancaster Sound in September (Motard-Côté et al., 2012), and range of 0.05 to 0.8 nmol DMS L−1 in the Canadian High Arctic in October–November (Luce et al., 2011). In spite of the recurring midsummer atmospheric MSA peak measured at Alert, evidence of high oceanic DMS concentrations associated with summer phytoplankton blooms remained scarce for this part of the Arctic until very recently (Mungall et al., 2016; Collins et al., 2017; Jarníková et al., 2018; Abbatt et al., 2019).
The rapid shifting of the Arctic icescape bears consequences for Arctic primary production and associated DMS dynamics that are still poorly understood. While observations from the field are sparse (Wassmann et al., 2011) and challenging due the remoteness and harshness of the environment as well as the dynamic nature of ice and its margins (Sakshaug and Skjoldal, 1989), it is critical that impacts of ongoing physical changes on the dynamics of bloom-forming microorganisms and their production of DMS be better constrained. The main objective of this study was to assess and compare midsummer (July–August) phytoplankton and DMS dynamics at two contrasting ice edges in regions of the eastern Canadian Arctic: the ice edge dominated by Barrow Strait first-year ice (FYI) and the ice edge dominated by Nares Strait multiyear ice (MYI). The opportunity was also taken to investigate the ice-free waters of Lancaster Sound and North Water (northern Baffin Bay) contiguous to the Barrow Strait and Nares Strait ice-edge regions, respectively. Our results reveal two distinct planktonic systems and ensuing DMS dynamics related to the presence of dissimilar icescapes.
2.1 Ice conditions and sampling strategy
The sampling took place between 17 July and 6 August 2014 on board the Canadian Coast Guard Ship (CCGS) Amundsen as part of the joint ArcticNet–NETCARE (Network on Climate and Aerosols: Addressing Key Uncertainties in Remote Canadian Environments) campaign. Thirty-three stations were sampled; most of them were located on four strategic and historical ArcticNet transects: Barrow Strait, Lancaster Sound, Nares Strait, and North Water (Table 1, Fig. 1). The other stations were situated in Dease Strait, Victoria Strait, M'Clintock Channel, and Franklin Strait in the Canadian Arctic Archipelago (CAA) and Baffin Bay. The Barrow Strait (BS) transect was sampled opportunistically and aimed to capture seawater flowing eastward as it exited the ponded ice pack in Barrow Strait. The Lancaster Sound (LS) transect captured the water masses coming in and out of the sound. The Nares Strait (NS) transect aimed at capturing the progression of biochemical processes as the water flowed southward away from the northern ice arch. The North Water (NOW) transect captured the exchanges between the northern part of Baffin Bay and Nares Strait.
The two straits (Barrow and Nares) were characterized by distinct and well-defined ice edges at the time of sampling (Fig. 2). In Barrow Strait, the ice edge was located at the western end of Lancaster Sound, perpendicular to the channel, between Devon Island and Somerset Island (Fig. 2a). The ice pack was mostly composed of ca. 1 m thick FYI covered by melt ponds at approximately 40 % of total surface (Fig. 3 picture of melt ponds). Soon after our arrival in the study area, a large lead developed south of Griffith Island (south of Cornwallis Island), pushing the detached part of the ice pack slightly eastward (Fig. 2). The BS transect was conducted along the ice edge in this lead. In Barrow Strait, the net surface circulation is predominantly eastward at 10–15 cm s−1 in midsummer on the south shore with a mild westward current of ca. 5 cm s−1 on the north shore (Lemon and Fissel, 1982; Prinsenberg and Bennett, 1987; Pettipas et al., 2008; Michel et al., 2015). This region stands as an important waterway for the transport of fresher Pacific waters, originally from the inflow through Bering Strait, towards the North Atlantic (Jones et al., 2003). The water sampled across this transect was thus mostly exiting the ice pack which extended several kilometers westwards.
In July 2014, an ice arch formed in the Kennedy Channel of Nares Strait leaving Kane Basin, and the North Water region to the south was largely ice-free. The comparison of the position of the ice arch in July 2014 with a decade of remotely sensed data (1997–2007) shows that it formed that year approximately 130 km north of a median historical position (near 79∘ N) in southern Kane Basin (Kwok et al., 2010), in line with recent trends (2006–2010) of more northern ice bridge formation in the area (Ryan and Münchow, 2017). By the time of the sampling (3–6 August), it had retreated to the head of Kennedy Channel (Fig. 2a), leaving a 350 km stretch of open water north of Smith Sound (Burgers et al., 2017). As expected for this part of the Arctic Ocean, the ice pack north of the ice arch was composed of MYI (Fig. 2c). Presence of MYI (5+ years) north of Nares Strait, near Robeson Channel, was confirmed by the EASE-Grid Sea Ice Age, Version 3 data set (Tschudi et al., 2016), which compiles weekly estimates of sea ice age in the Arctic between 1978 and 2017. Data from 2014, week 31 (28 July–3 August) and week 32 (4–10 August), were consulted for the purpose of this study. Beyond the MYI and to the south, a band of thick (>1.2 m) FYI, without any melt ponds, was also present (Canadian Ice Service (CIS) analysis, Fig. 2b). Because Nares Strait represents a major outflow path for water exiting the Arctic Ocean (Jones et al., 2003; Münchow et al., 2007; McGeehan and Maslowski, 2012), the water sampled along the NS transect was exiting the northern MYI edge as it flowed southbound towards Baffin Bay.
2.2 Physical, chemical, and biological measurements
Water samples were collected at five to nine depths from the surface down to a maximum of 100 m depth with 12 L Niskin-type bottles mounted on a General Oceanics 24-bottle Rosette. The rosette sampler was equipped with a Sea-Bird 911plus conductivity–temperature–depth (CTD) probe and a sensor for the measurement of fluorescence (Seapoint). The in vivo fluorescence data were calibrated against extracted chlorophyll a (Chl a) concentration. Data processing was performed through the “Sea-Bird SBE Data Processing program”, and quality control (based on UNESCO algorithms) was performed using a MATLAB toolbox developed at the Maurice Lamontagne Institute (Fisheries and Ocean Canada) (Guillot, 2007; Pascal Guillot, unpublished data). Water for nutrient analysis was filtered using a luer-lock syringe combined with an Acrodisc filter (0.7 µm) into 15 mL acid-washed polyethylene tubes. Samples were immediately analyzed for nitrate (), nitrite (), phosphate (), and silicic acid (Si(OH)4) using a Bran+Luebbe AutoAnalyzer III after the colorimetric method adapted from Hansen and Koroleff (1999) (detection limit for : 0.03 µmol L−1; : 0.02 µmol L−1; : 0.05 µmol L−1).
Water for Chl a concentration analysis was collected in 1 L brown polyethylene bottles (Nalgene) and then passed onto a 25 mm filter (Whatman GF/F). Phytoplankton pigments on the filter were extracted in 90 % acetone and stored at 4 ∘C in the dark during a period of 18–24 h. Fluorescence of extracted pigments was then measured using a Turner Designs fluorometer 10 AU after the acidification method described by Parsons et al. (1984). Chl a concentrations were calculated from the equation published in Holm-Hansen et al. (1965).
Samples for phytoplankton taxonomy were collected at the surface and at the subsurface chlorophyll maximum (SCM) and preserved in an acidic Lugol's solution (final concentration of 0.4 % v:v; Parsons et al., 1984). Identification and enumeration of cells >2 µm were conducted with a Zeiss Axiovert 10 inverted microscope following the Utermöhl and Lund method (Lund et al., 1958; Parsons et al., 1984). A minimum of 400 cells were enumerated to be statistically significant.
Samples of DMS were collected in 23 mL serum vials and allowed to gently overflow, avoiding any bubbling, before capping. Concentrations of DMS were determined on board within 2 h of collection using purging, cryotrapping, and sulfur-specific gas chromatography (GC, Varian 3800) as described by Lizotte et al. (2012) and further modifications described here. Briefly, 15 to 20 mL subsamples of DMS were gently filtered through a GF/F syringe filter and immediately injected into a sparging vessel. The DMS was stripped from the liquid samples using a constant flow of ultra-high-purity (UHP) helium (He) prepared using a permeation tube (certified calibration by KIN-TEK Laboratories Inc.) maintained at 40 ∘C and volatile DMS was trapped in a Teflon loop held in liquid N2. Gaseous samples were then analyzed using a Varian 3800 gas chromatograph (GC), equipped with a pulsed flame photometric detector (PFPD) and a capillary column (DB-5ms, 60 m × 320 µm × 1 µm). The samples were calibrated against microliter injections of DMS diluted with UHP He (certified calibration by KIN-TEK Laboratories Inc.) maintained at 40 ∘C. Duplicate tubes for total DMSP (DMSPt) samples were filled with 3.5 mL of unfiltered water. For conservation purposes, 50 µL of 50 % sulfuric acid (H2SO4) was added in each 3.5 mL liquid sample of DMSPt. All tubes were stored at 4 ∘C in the dark until analysis in laboratory. DMSP concentrations were quantified over the course of two periods using two analytical systems. A first series of DMSPt samples (stations 323, 322, 325, 301, 304, 305, 305A, 305B, 305C, 305D, and 305E) were analyzed in the laboratories of Laval University using a purge and trap system coupled to a Varian 3800 GC PFPD as described above. DMSPt samples were hydrolyzed with a 5 N NaOH solution in order to convert DMSP into DMS, which was purged from the samples via an ultra-high-purity (UHP) helium stream, cryo-trapped, and analyzed via gas chromatography (Lizotte et al., 2012). For these DMSP samples, the GC was calibrated with milliliter injections of a 100 nmol L−1 solution of hydrolyzed DMSP (Research Plus Inc.).
The analytical detection limit on the Varian GC system was 0.1 nmol L−1 for all sulfur compounds and the analytical precision (CV) for triplicate measurements of DMS and DMSP was better than 10 %. After shortcomings with the aforementioned GC system, a second series of DMSPt samples (stations 300, 324, 346, 115, 111, 108, 105, 101, KEN1, KEN3, KANE1, KANE3, 314, 312, 310, 335, 210, 204, 200, and 120) were determined using an automated purge and trap system (Atomx XYZ, Teledyne Tekmar Inc.) coupled with a GC–MS (gas chromatograph–mass spectrometer, model GC Intuvo 9000-MS 5977B, Agilent Inc.). Before analysis on the GC–MS, DMS derived from NaOH-hydrolyzed DMSPt samples was purged from the seawater in the Atomx sparge vessel for 11 min with UHP He at a flow rate of 40 mL min−1. Purged DMS was trapped on a U-shaped trap for volatile organic compounds (Teledyne Tekmar Stamp 9 Trap). A high-voltage current was then used to heat the trap to 250 ∘C, desorbing DMS and sending it to the elution column of the GC at a flow rate of 300 mL min−1. Once separated by the GC capillary column (DB-5ms, 30 m × 250 µm × 0.25 µm), volatile compounds were ionized and directed to the mass selective quadrupole of the MS. The detector was adjusted to count target ions at m∕z 62. Resulting peak areas were retrieved using the MassHunter workstation software. DMSP concentrations were calculated against six- to seven-point calibration curves obtained by processing standard DMSP solutions of known concentration, between 1 and 100 nmol L−1, in the same fashion as DMSP samples. Potential degradation of DMSPt samples through time was corrected by calculating the loss in standard solutions of DMSP (100 nmol L−1) kept in the same preservation conditions as the samples (4 ∘C in the dark). Our analysis shows an average loss of 9 % in the DMSPt samples between times of sampling and analysis.
MODIS images, as well as ice charts produced by CIS, were used to visually assess the presence of ice edges. CIS ice charts, based on RADARSAT-2 and NOAA-18 images, show ice properties including stage of development, concentration, and form of the ice (Environment Canada, 2005). Color schemes of the CIS ice chart were modified using Adobe Illustrator CS6. A FYI edge appears in Lancaster Sound as a curved line between Devon Island and Somerset Island on 22 July (Fig. 2a). The presence of MYI appears at the northern extremity of Nares Strait, i.e., at the entrance of Robeson Channel between Ellesmere Island and Greenland, on 1 August (Fig. 2c). The MYI was contiguous to a band of thick (>1.2 m) FYI descending into Nares Strait (Fig. 2b).
The surface mixed-layer depth (Zm) was estimated as the depth at which the gradient in density (σt) between two successive depths was greater than 0.03 kg m−4 following the threshold gradient method of Thomson and Fine (2003) with adaptations from Tremblay et al. (2009). Oceanic vertical cross sections and contour plots were drawn using weighted averaging gridding and linear mapping using Ocean Data View 5.1.5 MacX software (Schlitzer, 2018), and schematic models of FYI and MYI dynamics were constructed in Adobe Illustrator CS6. Statistical analysis was conducted using SYSTAT 13.2 software, as well as JASP 0.9.2.0 computer software, an open-source project supported by the University of Amsterdam (JASP Team, 2018). Variables were tested for normality using the Shapiro–Wilk test with a 0.05 significance level, and Spearman's rank correlations (rs) were used to assess the strength of association between variables.
3.1 Overview of the sea surface physicochemical and biological characteristics
The main physical and chemical characteristics of the sea surface water at the sampling stations are presented in Table 1 for stations located in the four regions of interest. Surface temperature varied between −1.5 and 5.7 ∘C, with the lowest and highest values measured under the ice in Barrow Strait and in the open waters of Lancaster Sound, respectively. Salinities ranged from 29.5 to 32.8, with the lowest and highest values measured in Barrow Strait and in northern Baffin Bay (North Water), respectively. Nitrate concentrations were generally lower than 0.5 µmol L−1 in the studied area, except at three ice-edge stations located in Barrow Strait (>2 µmol L−1) and one station close to the ice arch in Nares Strait (1.4 µmol L−1). Silicic acid exhibited the same general spatial distribution with concentrations lower than 1.5 µmol L−1 at most stations and greater than 3 µmol L−1 in the ice-covered Barrow Strait and close to the ice arch in Nares Strait. Phosphate concentrations varied between 0.2 and 0.9 µmol L−1, again with maximum values found in the ice-covered Barrow Strait. Chlorophyll a concentrations in surface waters varied between 0.2 and 2.3 µg L−1 (Table 2), indicating that the summer bloom was in an advanced stage at most stations, except in the ice-covered Barrow Strait and close to the ice arch in Nares Strait. Surface DMSPt concentrations spanned an order of magnitude from 13.5 to 114.7 nmol L−1, while DMS concentrations varied between 0.37 and 19.5 nmol L−1, with the highest values measured in the ice-covered Barrow Strait and near the Greenland shelf in northern Baffin Bay (Table 2). At a broad scale, and considering only sea surface data from all regions under investigation in this study, Spearman's rank correlation tests (n=33) reveal no significant relationships between DMS and abiotic or biotic variables presented in Tables 2 and 3.
Beyond sea surface data, water column vertical profiles were also plotted as cross sections in order to identify key features associated with ice dynamics and bloom development in certain regions of the CAA and Baffin Bay. Information is presented below and grouped as a function of targeted transects.
3.2 Barrow Strait (BS) transect
Variables measured across the BS transect are presented in Fig. 4. Seawater temperatures ranged from −1.6 to −1.2 ∘C, with the lowest values found at intermediate depths (ca. 40–60 m). Surface water temperatures were below −1.4 ∘C at all stations. Salinity varied between 30.4 and 33.0 across the transect, with the lowest and highest surface values measured at the north and south extremities of the transect, respectively. Nitrate concentrations ranged from 0.6 to 11.0 µmol L−1, with the lowest and highest values measured close to the surface and at depth, respectively. The nitracline was located at ca. 30 m. Close to the surface, nitrate concentrations were low at the south end of the transect (0.6 µmol L−1 at station 305B) and increased northward to reach 2.1 µmol L−1 at station 305E. Silicic acid concentrations showed a similar pattern, with a positive south–north gradient ranging from 3.5 to 10.5 µmol L−1 in the upper 30 m and high values at depth (up to 29.2 µmol L−1). Chl a concentrations varied between 0.2 and 2.1 µg L−1 with the highest values measured in the upper 30 m of the water column and toward the northern tip of the transect. Phytoplankton identification and enumeration were conducted at one station on the BS transect (stations 305E) and at two stations located in the vicinity under the ponded ice cover (see stations 304 and 305 in Fig. 1 and Table 2). The phytoplankton assemblages at these three stations were similar, dominated by the pennate diatoms Fossula arctica and Pseudo-nitzschia spp. (delicatissima group), the two taxa responsible for 29 % to 71 % of the total phytoplankton abundance (Table 2). Another abundant pennate species at these stations was Fragilariopsis oceanica.
Concentrations of DMSPt were highest in the top 20–30 m of the water column across the FYI edge, from stations 305B to 305E, with the highest value of DMSPt (115 nmol L−1 at 2 m depth) observed at the northern extremity of the transect. DMS concentrations were maximal in the upper 30 m of the water column across the BS transect. DMS concentrations in surface waters varied from 7.2 to 12.2 nmol L−1 with the highest concentrations measured at both extremities of the transect.
3.3 Lancaster Sound (LS) transect
Variables measured across the LS transect are presented in Fig. 5. Surface temperatures were at least 3 times warmer than those measured across the BS transect, with values ranging between 3.0 and 4.1 ∘C. Surface salinities varied between 30.7 and 32.4, with the highest values measured at stations 323 and 322 towards the north shore. Concentrations of nitrate and silicic acid exhibited no particular cross-channel pattern in the surface mixed layer, with values below 0.5 and 2 µmol L−1 in the upper 20 m of the water column, respectively. Maximum Chl a concentrations were in the same range as in the BS transect (between 1.5 and 2.5 µg L−1) but exhibited a different vertical distribution. Across the BS transect, Chl a concentrations were generally highest in the surface mixed layer (SML) while they formed a SCM at ca. 30–40 m at the stations located across the LS transect, suggesting a more advanced bloom stage in the LS area. The two transects also showed distinct phytoplankton assemblages (Table 2). Station 325 located close to the south shore of the LS transect was characterized by a phytoplankton assemblage dominated by the centric diatoms Chaetoceros spp. (5–10 µm), Chaetoceros gelidus, Chaetoceros spp. (10–20 µm), and Chaetoceros spp. (2–5 µm). At stations located in the middle (323) and near the north shore (322), assemblages were dominated by unidentified flagellates, Prasinophyceae, and Dinophyceae. In contrast to assemblages found at the BS transect, pennate diatoms represented at most 7 % of the phytoplankton counts in Lancaster Sound.
Concentrations of DMSPt varied between 17 and 96 nmol L−1 in the top 40 m, with a pronounced subsurface peak at ca. 20 m at the southern end of the transect corresponding to the SCM. DMS concentrations were as high across the LS transect (values above 10 nmol L−1 measured at stations 322, 300, and 325) as those measured across the BS transect. However, while the high DMS values were restricted to the first 25 m in the BS transect, concentrations exceeding 2.5 nmol L−1 were measured down to ca. 70 m in the LS transect. Across the LS transect, DMS concentrations were elevated (>4 nmol L−1) in the nutrient-impoverished low-Chl a SML as well as in the SCM. Three distinctive peaks were observed at stations 322 (10 nmol L−1 at 40 m), 322 (12 nmol L−1 at 20 m), and 325 (11 nmol L−1 at 10 m).
3.4 Nares Strait (NS) transect
Variables measured across the NS transect are presented in Fig. 6. Sea surface temperatures started at ca. −1.3 ∘C at the ice edge and increased more or less regularly southward to reach 2 ∘C at the last station (KANE5) of the transect. In contrast, sea surface salinities were relatively constant at 30.5 along the transect. Nitrate and silicic acid concentrations in surface waters near the ice arch were ca. 1.5 and 6 µmol L−1, respectively. In the upper 20 m of the water column, concentrations of nitrate and silicic acid decreased with distance from the ice arch as a first algal bloom developed (see below), reaching 0.4 and 1.9 µmol L−1, respectively, at the southernmost station (KANE5). The silicic acid drawdown along the transect was indicative of a strong diatom dominance (see Table 2).
Chl a concentrations exiting the MYI pack were ca. 0.3 µg L−1 in the top 20 m of the water column and increased southward, reaching a first surface peak of 2 µg L−1 at KEN3 which then continued in subsurface waters. A SCM of 2.8 µg L−1 was already present at ca. 24 m depth at KEN3, while Chl a concentrations reached 10 µg L−1 at ca. 20 m depth at KANE5. The abundance of phytoplankton was low in surface waters near the MYI edge, and unidentified flagellates and Prymnesiophyceae (Table 2) dominated the community. The bloom which developed further south of the ice arch was dominated by the centric diatoms Chaetoceros spp. (5–20 µm) and Chaetoceros gelidus, a composition similar to the blooming assemblage described in the LS transect.
At the northernmost station near the ice arch (KEN1), DMSPt concentrations were relatively low throughout the water column (<16 nmol L−1), with the highest values near the surface. The near-surface maximum increased to 27 nmol L−1 at station KEN3 while a distinct subsurface maximum of DMSPt was present at ca. 20 m depth in the three southernmost stations of the transect (KANE1 to KANE5). A high value of 59 nmol L−1 was reached at KANE5 (20 m depth). Near-surface DMS concentrations were below 0.4 nmol L−1 at the station closest to the ice arch (KEN1) and were the highest in association with the developing bloom, reaching 10 nmol L−1 at KANE5. The maximum concentrations of DMS were mostly restricted to the upper 20 m of the water column, within or above the SCM when present.
3.5 North Water (NOW) transect
Variables measured across the NOW transect are presented in Fig. 7. Sea surface temperatures were 1.0 ∘C in the western part of the transect, were between 3.5 and 4.0 ∘C in the central part, and decreased to 2.3 ∘C at the easternmost station (115). Sea surface salinity varied between 31.3 and 32.8 with the highest values measured on the eastern edge of the transect, closest to Greenland. Nitrate concentrations in surface water were below 0.04 µmol L−1 across the whole transect, indicating post-bloom conditions similar to those found in the LS transect. Surface silicic acid concentrations varied between 0.3 and 6.5 µmol L−1 with the lowest and highest values recorded at stations 111 and 101, respectively. Chl a concentrations showed a subsurface peak at all stations with maximum values found at ca. 18 m depth at station 115 (4.7 µg L−1) and at ca. 30 m depth at station 105 (4.3 µg L−1). As observed further south at the mouth of Lancaster Sound, the phytoplankton assemblage was dominated by the centric diatom Chaetoceros gelidus and two unidentified Chaetoceros species at three stations of the transect (111, 108, and 101). Stations 115 and 105 were, for their part, numerically dominated by flagellates. Station 115 was also characterized by the presence of the prymnesiophyte Phaeocystis pouchetii (palmelloid stage) with an abundance reaching 503 700 cells L−1, representing 9 % of total cell counts at this station. Pennate diatoms were present across the transect, with concentrations increasing from west (16 425 cells L−1 at station 101) to east (877 820 and 737 300 cells L−1 at stations 111 and 115, respectively).
Concentrations of DMSPt were highest in the first 20–30 m of the water column, ranging from 34 to 88 nmol L−1 at the near surface, with a distinct positive gradient from west to east. A subsurface peak was observed in the three easternmost stations (108, 111, and 115) with the highest concentrations of DMSPt (112 nmol L−1, station 115) measured at 12 m depth. DMS concentrations in the near-surface waters were relatively high and stable at 4.1–5.3 nmol L−1 between stations 101 and 111 and reached 19.5 nmol L−1 at station 115, the highest value measured during this campaign.
During the joint ArcticNet–NETCARE cruise, summertime DMS distributions were studied in two regions of the High Canadian Arctic characterized by distinct ice edges: a first one featuring mainly ponded FYI and a second one composed mainly of MYI. Both Barrow and Nares straits, as well as the contiguous regions of Lancaster Sound and North Water (northern Baffin Bay), embody significant oceanic gateways for Pacific-originating waters towards the North Atlantic (Jones et al., 2003). The results from the four transects conducted in these regions reveal distinctive features in DMS dynamics. The highlights of this study are discussed in the context of a predicted warmer Arctic, loss of perennial sea ice, and increase in the prevalence of seasonal FYI (Nghiem et al., 2007; Kwok and Rothrock, 2009; Overland and Wang, 2013; AMAP, 2017).
4.1 Broad regional sea surface distributions of DMS
Over the entire study area, the distribution of sea surface concentrations of DMS (Fig. 8) ranged from 0.2 to 19.5 nmol L−1, with a median of 4.4 nmol L−1 and interquartile range of 2.5 nmol L−1 (25th) and 8.2 nmol L−1 (75th) (Table 3, n=33). These values are similar to the measurements (range from 0.04 to 17.6 nmol L−1 and a median of 2.47 nmol L−1) conducted by Jarníková et al. (2018) at the same time of year (July–August) and in the same broad biogeographic sectors of the CAA and Baffin Bay. Altogether, these results show that previous measurements conducted in Baffin Bay and CAA earlier (April to June) or later (September–October) in the potentially productive season may not have been representative of summer conditions (see studies referenced in Table 3). These findings also bring further support to the hypothesis that local DMS sources explain the midsummer peaks of atmospheric MSA, a DMS proxy, in the High Arctic (Sharma et al., 2012; Becagli et al., 2019). Not surprisingly, considering our limited sea surface data set (n=33) and the overall complexity of the DMS cycle, no significant relationships were found between broad regional sea surface concentrations of DMS and biotic or abiotic variables. Global empirical relationships between DMS and other biogeochemical and physical variables are often inconsistent and difficult to establish (Kettle et al., 1999). The Arctic, in particular, displays important patchiness in drivers of DMS dynamics (Galí and Simó, 2010; Galindo et al., 2014; Jarníková et al., 2018), associated in great part with the presence of ice and its role in seeding under-ice algal blooms. The melt of sea ice and snow covers also influences surface water stratification and the ensuing shifts in salinity, temperature, and solar radiation doses experienced by potential DMS-producing communities. The inherent heterogeneity that characterizes spatial distributions of DMS in the Arctic as well as the presence of sea ice as a potentially critical driving force of these patterns warrants further investigations into underlying mechanisms.
4.2 The FYI edge in Barrow Strait and the adjacent Lancaster Sound
The seasonal sea ice zone (SIZ) in the Arctic is modulated by large interannual variability (Parkinson and Comiso, 2013; Simmonds, 2015; Comiso et al., 2017; Serreze and Meier, 2019). Correspondingly, the position of the ice edge in the Barrow Strait and Lancaster Sound area during spring may vary yearly from the mouth of the sound to the east (80∘ W) to Lowther Island in Barrow Strait to the west (97∘ W) as revealed by the analysis of CIS ice charts by Peterson et al. (2008). On 17 July 2014, the ice edge was located approximately in the middle of this historical spatial range near the longitude of Prince Leopold Island (90∘ W; see Fig. 2a). Satellite imagery reveals that this distinct ice edge was already present a month prior to the arrival of the icebreaker CCGS Amundsen in the area and that the eastern part of Lancaster Sound (east of 90∘ W) was already mostly ice-free by 16 June 2014 (data from CIS not shown). The ice cover in Barrow Strait, west of the ice edge, was composed mostly of FYI ca. 1 m thick covered with melt ponds at ca. 40 % of its surface. On 20 July, part of the ice diverged towards the east, creating a small lead in the FYI near the northern tip of Somerset Island (Fig. 2a). The opportunity was taken to sample the western border of the lead, very close to the newly formed ice edge in order to capture the outflow of under-ice waters. The predominantly eastward transport of water in the southern portion of the strait is estimated at 14±4 cm s−1 annually and is strongest in late summer at 27±8 cm s−1 (Hamilton et al., 2013), suggesting that the residence time of seawater in the lead was short lived. Biogeochemical characteristics of the surface waters sampled on 22–23 July along the BS transect, particularly its southern area, thus likely reflect conditions prevailing in the ice-covered western portion of the strait.
Vertical profiles from the BS transect (Fig. 4) in proximity to the newly formed ice edge indicate that an under-ice phytoplankton bloom had developed in the ice-covered Barrow Strait area and was captured during our sampling as it exited the ice. This under-ice bloom coincided with relatively low salinities (ca. 31.5) and temperatures (ca. −1.5 ∘C) within the surface waters. These results suggest that the bloom was linked to the development of a fresher water lens below the ice, likely resulting from the melting of snow and ice covers. Events were also likely associated with an increase in light transmission through the ice, as observed by Galindo et al. (2014) for the 2010 and 2011 under-ice blooms in Allen Bay and Resolute Passage. The relatively high nitrate concentrations measured in the upper 20 m (ca. 2.5 µmol L−1) suggest that the bloom was still in its development phase. The maximum phytoplankton biomass measured in the lead and under the ice in adjacent stations (ca. 2 µg Chl a L−1) was lower than the maximum value of ca. 10 µg L−1 reported by Galindo et al. (2014) during under-ice blooms at the end of June 2011. The 5-times-higher biomass measured during Galindo's study suggest that turbulent mixing could bring additional nutrients to the under-ice bloom closer to shore. In stations of the BS transect however, a strong halocline had persisted at ca. 20 m, restricting the vertical input of nutrients to the upper part of the water column. Our results also indicate that the upwelling conditions which led to the formation of a massive under-ice bloom in the Chukchi Sea (Arrigo et al., 2012; Cooper et al., 2016; Selz et al., 2018) were not present across the BS transect during our study. The dominance of the phytoplankton assemblage by pennate diatoms in the Barrow Strait region (BS transect station 305E as well as stations 304 and 305; see Fig. 1) suggests that the release of ice-associated algae (sympagic) likely contributed to the seeding of the under-ice bloom, as observed during similar under-ice blooms in the Barrow Strait region (Fortier et al., 2002; Galindo et al., 2014). These results agree with studies emphasizing the importance of ice algal communities as a seeding source during spring over oceanic regions when algal abundance in the water column is low (e.g., Arctic Ocean north of Svalbard by Kauko et al., 2018; Frobisher Bay in Davis Strait by Hsiao, 1992). The presence of species endemic to Arctic sea ice such as Nitzschia frigida, Fragilariopsis cylindrus and Fragilariopsis oceanica (Poulin et al., 2011) in the surface waters of the Barrow Strait region brings further support to the ice origin of this under-ice bloom.
The taxonomic composition of the drifting under-ice bloom at station 305E was also dominated by pennate diatoms, but with lower total cell abundance (0.48×106 cells L−1 at 305E) compared to the two other Barrow Strait stations ( cells L−1 at 304 and 305, data not shown), as well as slightly different species. The phytoplankton assemblage at 305E was similar to the one previously described by Galindo et al. (2014) for the under-ice bloom developing at a shallow station (50 m) in Allen Bay in 2011, located ca. 15 km west of 305E. In both studies, the under-ice bloom was dominated by pennate diatoms, with Fossula arctica and Fragilariopsis oceanica contributing 8.2 % and 7.8 %, respectively, to the total protist abundance at station 305E.
In the ice-free area of Lancaster Sound, the lower Chl a (0.2 to 1.2 µg L−1) and nutrient concentrations measured in the 13–16 m depth SML as well as the presence of an SCM (Fig. 5) suggest that the bloom had reached a more advanced stage of development with part of the phytoplankton cells produced at the surface accumulating near the nitracline. Nitrate and silicic acid concentrations in the SML were limiting, with values below 0.6 and 0.9 µmol L−1, respectively, indicating that most of the nutrients, initially present in the surface, had already been consumed by the primary producers. The exhaustion of nitrate in surface waters, the deepening of the nitracline, and the development of a SCM are typical features of summer conditions in several regions of the Arctic as demonstrated by a host of comprehensive investigations (Tremblay et al., 2008; Mundy et al., 2009; Martin et al., 2010; Ardyna et al., 2013; Brown et al., 2015; Steiner et al., 2015).
The striking difference between the phytoplankton assemblages in Lancaster Sound, dominated by centric diatoms, and Barrow Strait, dominated by pennate diatoms, suggests that the bloom in Lancaster Sound likely developed under ice-free conditions with no significant seeding from ice algae. This could indicate that part of the FYI pack broke and was flushed out of the eastern portion of the sound before ice and snow conditions, as well as the potential presence of melt ponds, would have allowed the formation of an under-ice bloom. This interpretation is supported by MODIS images revealing that much of Lancaster Sound was ice-free a month prior to the ship's arrival (16 June, CIS data not shown). These results agree with findings from Hsiao (1992) showing a dominance of pennate diatoms in the ice algae and phytoplankton communities during spring in Frobisher Bay (Davis Strait) and a dominance of centric diatoms in open waters in summer post ice melt.
The Barrow Strait–Lancaster Sound FYI area was characterized by different vertical DMSP distributions in the two regions of the biogeographic sector under study, likely related to the distinctive phases of bloom development discussed above. In the newly formed lead of Barrow Strait, accumulation of DMSPt was highest in the surface waters with a peak of 115 nmol L−1 at the northern edge of the lead (station 305E, depth of 2 m). This high value is in the same range as the under-ice water column concentrations of particulate DMSP (DMSPp of 99 and 185 nmol L−1) observed by Galindo et al. (2014) in nearby Allen Bay. Despite seemingly varying vertical distribution patterns of in vivo fluorescence and DMSPt (see Fig. 4), the broad fluctuations of these two biologically mediated variables displayed significant correlation (rs=0.80, p<0.001, n=20), suggesting that the bulk of DMSPt was intimately linked to algal biomass. In contrast, across much of the LS transect, particularly towards its southern portion, concentrations of DMSPt were highest near the nitracline, deeper in the water column (peak of 96 nmol L−1 at 20 m, station 325). The role played by environmental drivers, such as nutrients, in the accumulation of DMSP-rich organisms at this depth was substantiated by the significant correlation found between water column distributions of and DMSPt (, p<0.001, n=36). However, contrary to patterns observed in the BS transect, concentrations of DMSPt bore no significant association with in vivo fluorescence of chlorophyll in this part of the study area, suggesting that the bulk of algal biomass was not necessarily responsible for the variability in DMSPt concentrations in these waters characterized by mixed algal populations. The above results are not unexpected seeing as the nature of DMSP synthesis itself is highly species-specific (Keller et al., 1989) and subject to physiological up- or down-regulation and excretion linked to environmental stressors (see review by Stefels et al., 2007). Assuming that almost all DMSPt was particulate (see Kiene and Slezak 2006), the DMSPt : Chl a ratio can serve as an indicator for intracellular DMSP concentration. Averaged over the first 20 m of the water column, DMSPt : Chl a ratios were 60 nmol µg−1 at the four Barrow Strait stations and almost 3 times as high at the five Lancaster Sound stations (170 nmol µg−1). This distinctive pattern could have resulted from differences in community composition or in physiological status of the algal communities, as well as their bloom development phase. The numerical dominance of flagellates at certain stations of the LS transect (stations 322 and 323) and their presence in relatively high proportions at station 325 (second highest at 14 %) suggest that the bloom was further along in its development than in the BS transect. This difference may help explain the large differences in Chl a-normalized DMSPt between the two regions. However, in light of the scarcity of available information, the exact role played by community composition and cell physiology in shaping DMSPt : Chl a ratios remains an open question.
Notwithstanding the lower DMSPt : Chl a ratios in the BS transect, DMS levels were high in surface waters, ranging from 7.2 to 12 nmol L−1, and revealed two hot spots at either end of the sampled transect (Fig. 4): one in association with a peak in DMSPt (115 nmol L−1, 305E) and a second in conjunction with relatively low DMSPt (ca. 25 nmol L−1, 305B) and Chl a (0.83 µg L−1) at station 305B. Statistical analysis suggests that, in the waters exiting the FYI pack in Barrow Strait, variability in DMS concentrations was significantly associated with that of its precursor DMSPt (rs=0.76, p<0.001, n=20) but was most strongly associated with fluctuations in salinity. The highly significant negative correlation (Fig. 9) found between DMS and salinity (, p<0.001, n=20) in the upper ca. 80 m of the water column in this region suggests a strong physical control of DMS distributions associated with ice and snow melting processes. The generally sunny forecast in the days prior to the sampling excludes heavy rain as a significant contributor to this signal. During the thawing season, the increase in ice permeability and basal melting may trigger important releases of DMS in the waters just below the ice cover (Trevena and Jones, 2006; Kiene et al., 2007; Tison et al., 2010; Carnat et al., 2014). The formation of an upper fresher water “lens” associated with the FYI melt may also have led to a certain accumulation of DMS following its release from the sea ice. Furthermore, it cannot be totally excluded that the stratification of the upper water column ensuing from the melting ice could have entailed higher and longer exposures of phytoplankton communities to solar radiation with enhanced DMS production as a coping mechanism against light-induced stress via an antioxidant cascade (Sunda et al., 2002; Toole and Siegel, 2004; Vallina and Simó, 2017; Galí and Simó, 2010). Indirectly, DMS production could also have been stimulated through the possible increased availability of dissolved DMSP (DMSPd) in the environment and its bacterially mediated enzymatic conversion into DMS (Kiene et al., 2000). Laboratory salinity downshock experiments with batch cultures of diatoms and dinoflagellates have shown an increase in the excretion of cellular DMSP (Van Bergeijk et al., 2003) and an increase in the production of DMS (Stefels and Dijkhuizen, 1996; Niki et al., 2007). A DMSP-related osmo-acclimation response to shifts in salinity (Stefels, 2000) could be particularly beneficial for algae developing in highly fluctuating environments, such as in the Arctic during the thaw season, a phenomenon which could ultimately strengthen DMS production. The strength of the association between DMS and salinity in the waters however suggests that physical drivers exercised the greatest control over the distribution of DMS near the FYI edge.
Sea surface concentrations of DMS in the open waters of the Lancaster Sound transect ranged from 3 to 7 nmol L−1 with no clear cross-channel pattern (Fig. 5). In this region, DMS concentrations peaked deeper in the water column (max of 12 nmol L−1, station 300, 20 m depth) partly in association with the presence of DMSP-producing phytoplankton, as suggested by the significant positive correlation found between water column concentrations of DMS and DMSPt (rs=0.45, p<0.001, n=36). However, fluctuations in DMS throughout the water column were, once again, better correlated with those in salinity (, p<0.001, n=36) suggesting the continued importance of environmental drivers, such as salinity, in shaping DMS distributions in the later stages of bloom development in this part of the CAA during our study.
4.3 The MYI edge in Nares Strait and the adjacent North Water
Sea ice covers Nares Strait for most of the year (Münchow, 2016). While the ice is typically landfast from December to June as a result of the formation of ice arches (ice bridges) at the northern entrance (around 83∘ N) and the southern exit (around 78∘ N), the ice is mobile from July to November (Kwok et al., 2010; Moore and McNeil, 2018). As one of the major oceanic gateways of Arctic waters into the North Atlantic, the average depth-dependent flow through the strait is always to the south (Münchow et al., 2007; McGeehan and Maslowski, 2012), and drifting ice velocities through the channel are strongly correlated with local winds (Münchow, 2016). The NS transect sampled during this study thus captured the flow of water exiting the northern ice pack towards Baffin Bay. In August 2014, the ice north of the head of Nares Strait, near Robeson Channel, was composed of MYI (Fig. 2c), a typical feature of this area (Kwok et al., 2005; Comiso, 2012; Michel et al., 2015). A band of thick (>1.2 m) FYI shaped a gradient between the northern MYI and southern open waters. While some FYI remained in the strait, particularly southeast of the ice arch (along the Greenland coast), its concentration decreased from 7–8 ∕ 10 to less than 3–4 ∕ 10 and eventually to open waters west of Kane Basin.
Water column patterns of salinity along the NS transect were relatively uniform between stations with fresher waters reaching deeper into the water column at the most northern stations (Fig. 6). This pattern is consistent with the presence of Pacific-originating waters of lower salinity and density that enter the central Arctic Basin through Bering Strait and that partly flow south through Nares Strait as a subsurface current (Jones et al., 2003). It may also reflect the southbound flow through Nares Strait of first-year or multiyear ice floes (Münchow, 2016), or icebergs originating from the glaciers of Greenland or Ellesmere Island (Burgers et al., 2017) that can partially melt in transit and thus freshen the ocean surface waters, the impact of which lessens to the south as the ice melts away. Vertical patterns of temperature along the NS transect showed well-mixed waters down to 58 m in the station closest to the ice edge (KEN1) and a progressive warming of the upper layers of the water column with decreasing latitude (Fig. 6). The rise in sea surface temperatures in the lower-latitude stations of the NS transect reflects the typical seasonality of heat exchange (summer heat uptake) between the open waters and the atmosphere (Maykut and McPhee, 1995).
Reservoirs of nutrients throughout the water column at station KEN1, with 1.4 and 6 µmol L−1 of nitrate and silicic acid, respectively, were at the lower end of expected pre-bloom values for Pacific-derived water of the same salinity in the higher Arctic (Tremblay et al., 2002). As the sampling stations progressed to the south, a drawdown of both those nutrients, associated with the development of phytoplankton biomass, was evident at the surface of the vertical profiles (Fig. 6). At station KANE3, nutrients exhibited a swell-like pattern, associated with an increase in nutrients throughout the water column. The presence of a sill (Bourke et al., 1989) with a shallower bottom (depth of 230 m at 79∘54′ N) just north of KANE3 and the potential localized upwelling of nutrients could help explain this pattern.
Concentrations of Chl a in the waters exiting the MYI pack were low (<0.5 µg L−1 at KEN1) throughout the water column while they rose with decreasing latitude in the rest of the NS transect. Chl a concentrations reached a first surface peak of 2 µg L−1 at KEN3 which then continued in subsurface waters. A SCM of 3 µg L−1 was already present at KEN3 at ca. 24 m depth and reached 8 µg L−1 at ca. 35 m depth at KANE1. As this first bloom petered out, the upward supply of nitrate over a sill (230 m depth) located at latitude 79∘54′ N (Bourke et al., 1989) likely triggered another bloom in Kane Basin, with concentrations reaching 10 µg L−1 at ca. 35 m depth at KANE5. Along this transect, variations in the phytoplankton biomass proxy, Chl a in vivo fluorescence, were strongly associated with the availability of nitrate throughout the water column (, p<0.001, n=44), reinforcing the role played by nutrients in shaping the vertical distribution of primary producers as well as their control over nutrient drawdown.
In surface waters near the MYI edge, the phytoplankton community (dominated by unidentified flagellates and Prymnesiophyceae, KEN1, Table 2), showed a moderate abundance (1.3×106 cells L−1, data not shown), suggesting that the initiation of a phytoplankton bloom had not yet occurred in waters underneath the northern ice pack. The presence of sufficient amounts of nutrients in the surface waters near the ice edge points towards light availability as the primary limiting factor for the proliferation of primary producers under the ice. In seasonally ice-covered seas, the growth of shade-adapted algal cells may begin once a critical incident irradiance threshold is reached at the ice–water interface (Horner and Schrader, 1982; Gosselin et al., 1986). These results are in sharp contrast to the patterns observed in the waters exiting the ponded FYI in Barrow Strait where a bloom had already begun to develop underneath the ice. The drawdown of silicic acid in the following NS transect stations concurred with the development and dominance of diatoms (see Table 2), notably centrics such as Chaetoceros spp. (5–20 µm) and Chaetoceros gelidus, an assemblage similar to those previously described in the LS transect (as well as in the NOW transect later discussed). Species of the genus Chaetoceros were thus widespread throughout the study area, as previously reported in the Canadian High Arctic (Booth et al., 2002; Ardyna et al., 2011; Poulin et al., 2011).
In proximity to the northern ice edge in Nares Strait (KEN1), concentrations of DMSPt and DMS were rather modest throughout the water column (<16 nmol L−1 and <0.4 nmol L−1, respectively). These results reinforce the notion that autotrophic and heterotrophic processes associated with the production of DMSP and DMS in the waters under the thick non-ponded MYI may have only truly taken off upon reaching ice-free, light-sufficient conditions found farther south. This is again in cutting contrast with DMSP and DMS patterns observed at the Barrow Strait ponded ice edge. Surface peaks of 27 and 2.6 nmol DMS L−1 were measured at the following station (KEN3), adding support to the requisite of suitable doses of solar radiation to ensure the development of microalgae in ice-covered waters of the Arctic (Horner and Schrader, 1982; Gosselin et al., 1986) and the ensuing production of S compounds. In the three southernmost stations of the Nares Strait transect, a subsurface maximum of DMSPt was present at ca. 20 m depth with a high value of 59 nmol L−1 reached at KANE5 likely in association with an increase in autotrophic biomass fueled by nutrients near the sill, hitherto discussed. Maximal concentrations of DMS were, for the most part, confined to the upper 20 m of the water column within or above the SCM, with a high value of 10 nmol L−1 reached at KANE5. Along this transect, variations in the vertical distribution of DMS were significantly correlated with its precursor DMSPt; however the strongest association was found between variations in DMS and seawater temperature (rs=0.81, p<0.001, n=44) likely reflecting seasonal warming of the ice-free surface waters and ensuing development of DMS-producing organisms. The significant positive correlation found between concentrations of DMS and in vivo fluorescence of chlorophyll (rs=0.64, p<0.001, n=44) throughout the water column in Nares Strait reinforces this suggestion (Fig. 9).
Ratios of DMSPt : Chl a (ranging from 10 to 23 nmol µg−1) averaged over the first 20 m of the water column of the NS transect were low compared to those found in the Lancaster Sound transect (max of 170 nmol µg−1). Taking into account that our DMSPt : Chl a ratios include both particulate and dissolved pools, and considering that dissolved DMSP typically contributes a small fraction of DMSPt (although highly variable; Kiene et al., 2000; Kiene and Slezak, 2006), these values are nonetheless similar to previously reported DMSPp : Chl a ratios with a maximum of 39 nmol µg−1 (Luce et al., 2011) and a maximum of 17 nmol µg−1 (Matrai and Vernet, 1997), at diatom-dominated stations of the Canadian High Arctic and of the Barents Sea, respectively.
Along the ice-free west–east transect in the North Water (NOW), patterns of temperature and salinity (Fig. 7) revealed the interactions between the southward advection of fresh and cold Arctic waters along Ellesmere Island and saltier and warmer Atlantic waters flowing northward along western Greenland via the West Greenland Current (WGC) (Curry et al., 2011; Münchow et al., 2015). Surface water concentrations of nitrate were below 0.04 µmol L−1 across the entire transect, exposing more mature blooming stage conditions similar to those found in the LS transect. As such, maximal accumulation of biomass occurred below the surface at most stations along the NOW transect in association with the nitracline (Spearman's rank correlation between in vivo fluorescence and , , p<0.001, n=42). The phytoplankton assemblage along the NOW transect was similar to the ones observed further south at the mouth of Lancaster Sound and further north along Nares Strait. In the surface waters of stations 101, 108, and 111, the phytoplankton assemblage was dominated by the centric diatom Chaetoceros gelidus and two unidentified Chaetoceros, while flagellates numerically dominated the community at stations 105 and 115. The later station, located near the West Greenland coast, was also characterized by the presence of palmelloid colonial cells of Phaeocystis pouchetii, reaching 9 % of total cell count (0.5×106 cells L−1). Although the success and geographical range of Phaeocystis in the Northern Hemisphere are still poorly understood (Lovejoy et al., 2002; Schoemann et al., 2005; Tremblay et al., 2012), particularly in the Canadian Arctic, the codominance of species of Phaeocystis has been shown to occur in the waters of the West Greenland Current (Fragoso et al., 2017) and Labrador fjords (Simo-Matchim et al., 2017).
Phaeocystis is widespread across the globe, including in high boreal and arctic waters (Verity et al., 2007), and its blooming has been linked to vast amounts of DMSP in the marine environment (van Duyl et al., 1998; Stefels et al., 2007; Asher et al., 2017). In this study, the presence of a DMSP hot spot (up to 113 nmol L−1 at ca. 12 m depth) in the upper waters of the easternmost station 115 of the NOW transect may be partially explained by the occurrence of Phaeocystis pouchetii as well as the numerical dominance of unidentified flagellates, including potentially DMSP-rich species (Keller, 1989). In the rest of the NOW transect, maximal concentrations of DMSPt in the first 30 m of the water column were lower, especially at the westernmost station 101 (max of 35 nmol L−1). This pattern likely reflects the signature of colder, fresher waters flowing south from Nares Strait along the western side of Baffin Bay with inferior concentrations of autotrophic biomass and DMSPt. Ratios of DMSPt : Chl a, averaged over the first 20 m of the water column at each station of the NOW transect, were very wide-ranging with values fluctuating between 20 and 153 nmol µg−1. The extent of these values is similar to the range of DMSPt : Chl a ratios (52–182 nmol µg−1) found in the same sectors of the Arctic by Jarníková et al. (2018).
Sea surface concentrations of DMS along the NOW transect were relatively stable at 4.1–5.3 nmol L−1 between stations 101 and 111 and reached 19.5 nmol L−1 at station 115. The occurrence of a localized DMS hot spot in the surface waters of the later station corresponded to a peak in DMSPt and the presence of Phaeocystis sp., a unicellular algal species known to be able to enzymatically convert DMSP into DMS and acrylic acid (Stefels and Dijkhuizen, 1996). The potential direct production of DMS by Phaeocystis sp. may have contributed to the heightened concentrations of DMS at this station. Variations in vertical profiles of DMS along the NOW transect were tightly coupled to those of DMSPt (rs=0.85, p<0.001, n=42). Because of the inherent complexity in the cycling of methylated sulfur compounds, involving biotic and abiotic factors of the environment, mismatches between DMS and algal biomass and DMSP are not uncommon, especially in temperate and subtropical waters (Archer et al., 2009; Dacey et al., 1998; Simó and Pedrós-Alió, 1999; Vila-Costa et al., 2008). However, in seasonally light-limited polar waters, DMS tends to peak approximately simultaneously with phytoplankton biomass and with the concentration of its phytoplanktonic precursor, DMSP (Galí and Simó, 2015). Although the strength of the association weakens when considering the entire study area (all stations within the four regional transects), vertical patterns of DMS and DMSPt remain significantly and positively correlated (rs=0.64, p<0.001, n=142), reinforcing the view that the dynamics of these two S compounds are broadly in phase during summer in the Arctic as observed elsewhere (Galí and Simó, 2015).
Increase in FYI at the expense of MYI: significance for DMS dynamics
Results gathered through the NETCARE campaign in the Canadian Arctic Archipelago and Baffin Bay in July–August 2014 show distinct ocean DMS dynamics in relationship to two contrasting ice edges in terms of their age, developmental stage, and presence of melt ponds at their surface. Waters exiting the ponded FYI in Barrow Strait and sampled at the edge of a newly formed lead in the region were characterized by a mixed phytoplankton community with pennate diatoms dominating the assemblage. Although indicators of biomass were of moderate magnitude (Chl a<2.1 µg L−1), concentrations of DMSP and DMS were high in the surface waters with maxima of 115 and 12 nmol L−1, respectively, suggesting that a bloom had already started to develop under the melt-pond-covered ice through the potential seeding of autotrophic organisms from the ice. The strong negative association found between salinity and DMS points towards ice itself as an important vector for sea surface DMS, contributing to its seeding at the ice–sea interface as observed elsewhere (Trevena and Jones, 2006; Kiene et al., 2007; Tison et al., 2010). Haline-driven stratification of waters under the ice cover likely promoted the physical accumulation of DMS. Alternately, the surface stratification may have favored the biological production of DMS. The formation of a fresher water lens at the surface of the water could have led to the entrapment of algal cells and to an increase in solar radiation exposure with heightened DMS production as a defense strategy against light-associated oxidative stress (Sunda et al., 2002; Toole and Siegel, 2004; Vallina and Simó, 2017; Galí and Simó, 2010). The fresher water lens may also have indirectly stimulated DMS production through the possible enhancement of DMSPd availability and its bacterial conversion into DMS, following an osmosis-related excretion of cellular DMSP (Stefels, 2000; Van Bergeijk et al., 2003; Niki et al., 2007). Although biological processes cannot be completely ruled out, the strength of the association between DMS and salinity near the FYI edge suggests that physical drivers most strongly shaped DMS dynamics in Barrow Strait.
In contrast to the FYI-dominated region described above, the waters exiting the MYI-dominated region of Nares Strait did not exhibit the same potential under-ice development of autotrophic organisms. The phytoplankton community in the surface waters of the station sampled closest to the ice edge was dominated by flagellates, and Chl a concentrations were comparatively low (<0.5 µg L−1), as were the concentrations of DMSPt (<16 nmol L−1) and DMS (< 0.4 nmol L−1). The development of a phytoplankton bloom, and increase in both DMSP and DMS concentrations, occurred several kilometers (ca. 100 km, station KEN3) away from the ice edge, highlighting the requirement for sufficient light to initiate the growth of primary producers. One of the distinguishing features between the two ice edges was the presence or absence of melt ponds at their surfaces. This factor likely played a major role in driving the availability of light through the ice as suggested by Nicolaus et al. (2012), leading to the earlier onset of a bloom (Fig. 10) and shaping the associated DMS cycling under the ice in the Barrow Strait region where melt ponds covered ca. 40 % of the total surface. Findings from this study are of particular significance in light of the suggestion that regions of the CAA (Fortier et al., 2002; Mundy et al., 2014), the Beaufort Sea (Mundy et al., 2014), and Baffin Bay (Oziel et al., 2019) may hold regular, yet under-documented, under-ice phytoplankton blooms. The occurrence of these blooms may be linked to the fact that the archipelago is characterized by narrow waterways where landfast ice tends to linger longer, allowing advanced stages of ice melt to be reached prior to breakup, and where shallow waters act to enhance the supply of nutrients into surface waters, fueling the potential growth of under-ice blooms (Michel et al., 2006). Autotrophic biomass accumulations below the Chukchi Sea ice cover described by Arrigo et al. (2012) bring further support to the possible widespread importance of these blooms in waters of the Arctic. Furthermore, FYI has become the prevailing type of ice in the Arctic at the expense of swiftly declining MYI (Comiso et al., 2008). As such, and because FYI tends to have greater areal melt pond coverage than MYI due to a smoother topography (Polashenski et al., 2012), climate-driven changes in sea ice dynamics may lead to modifications in the timing and frequency of under-ice blooms, their role in seeding ice-edge blooms in summer (Strass and Nöthig, 1996), and the associated production of DMS (Galí and Simó, 2010; Levasseur, 2013). It is also worth noting that the highest sea surface DMS concentration measured during this expedition was associated with the presence of Phaeocystis (STN115, West Greenland Current), a genus for which a few modeling studies point towards a poleward expansion in its geographical extent (Cameron-Smith et al., 2011; Menzo et al., 2018) associated with the increased intrusion of warm Atlantic water masses in the Arctic (Neukermans et al., 2018). Altogether, these factors in conjunction with the projected increase in melt pond cover and their temporal span (Agarwal et al., 2011; Stroeve et al., 2014; Holland and Landrum, 2015; Liu et al., 2015) and the direct role melt ponds may play in the production of DMS (Gourdal et al., 2018) suggests that there is a need to review the potential production and cycling of DMS in ice-covered areas of the Arctic during summer. As thinner, younger, and more dynamic icescapes may prevail in the Arctic, earlier and more ubiquitous under-ice blooms may lead to earlier pulses of DMS through leads, cracks, and edges of the ice with implications for climate forecasting.
Recent modeling studies predict an increase in DMS emissions in the Arctic, predominantly associated with sea ice retreat, and this may induce a negative climate feedback through the influence of atmospheric DMS on cloud formation and radiative forcing (Kim et al., 2018; Mahmood et al., 2019). Most models however consider the ice–atmosphere interface to be inert. Possible diffusion of DMS through porous ice during spring (Gourdal et al., 2019), as well as potential DMS pulses venting to the atmosphere via melt ponds (Gourdal et al., 2018) and through cracks and leads in thinner ice and at ice edges (Hayashida et al., 2017; this study), could lead to a strengthening of the DMS-related “polar cooling”' predicted by models under future climate warming. According to a recent remote sensing study of pan-Arctic summertime emissions of DMS, however, the future response of cloud radiative forcing (warming or cooling) to increasing DMS emissions from ice-free waters remains uncertain (Galí et al., 2019). Modifications in anthropogenic emissions of sulfur and transport to the Arctic; changes in shipping, industrialization, and oil–gas extraction in the Arctic; and the potential for longwave cloud forcing (warming) to offset shortwave cloud forcing (cooling) may all have impacts on the net radiation budget of the Arctic (Galí et al., 2019), highlighting the need to improve our understanding of plankton–climate feedbacks in the current context of rapid ecosystem transformation.
CTD data and metadata are available on the Polar Data Catalogue (PDC) at https://doi.org/10.5884/12713 (Amundsen Science Data Collection, 2019). Metadata for other variables are available on the PDC at https://www.polardata.ca/pdcsearch/PDCSearchDOI.jsp? doi_id=12145 (Lizotte et al., 2020). Data are available upon request by contacting the first author.
MLi was responsible for a large part of the sampling as well as the data analysis and processing. MLe and MLi wrote the initial version of the paper together. MLi, MLe, VG, MG, JET, MB, and JC provided specific data included in the paper, and all co-authors contributed to the final edition of the paper.
The authors declare that they have no conflict of interest.
The authors wish to thank the captain of the CCGS Amundsen, Alain Lacerte, as well as his officers and crew for their support during the oceanographic campaign. We also want to thank Jonathan Gagnon for nutrient analysis and Sylvie Lessard for the taxonomic analysis. Finally, the authors acknowledge both Alison Webb and the anonymous referee for their constructive reviews of the original manuscript. This study received financial support from NETCARE (funded under the NSERC Climate Change and Atmospheric Research program), ArcticNet (Network of Centres of Excellence of Canada), and the NSERC Discovery Grant Program and Northern Research Supplement Program (Maurice Levasseur, Michel Gosselin and Jean-Éric Tremblay). This paper is a contribution to the research programs of NETCARE, ArcticNet, and Québec-Océan.
This research has been supported by the Natural Sciences and Engineering Research Council of Canada (grant nos. 05845 (Maurice Levasseur), 05965 (Jean-Éric Tremblay), and 122198 and 305492 (Margaux Gourdal)).
This paper was edited by Emilio Marañón and reviewed by Alison Webb and one anonymous referee.
Abbatt, J. P. D., Leaitch, W. R., Aliabadi, A. A., Bertram, A. K., Blanchet, J.-P., Boivin-Rioux, A., Bozem, H., Burkart, J., Chang, R. Y. W., Charette, J., Chaubey, J. P., Christensen, R. J., Cirisan, A., Collins, D. B., Croft, B., Dionne, J., Evans, G. J., Fletcher, C. G., Galí, M., Ghahremaninezhad, R., Girard, E., Gong, W., Gosselin, M., Gourdal, M., Hanna, S. J., Hayashida, H., Herber, A. B., Hesaraki, S., Hoor, P., Huang, L., Hussherr, R., Irish, V. E., Keita, S. A., Kodros, J. K., Köllner, F., Kolonjari, F., Kunkel, D., Ladino, L. A., Law, K., Levasseur, M., Libois, Q., Liggio, J., Lizotte, M., Macdonald, K. M., Mahmood, R., Martin, R. V., Mason, R. H., Miller, L. A., Moravek, A., Mortenson, E., Mungall, E. L., Murphy, J. G., Namazi, M., Norman, A.-L., O'Neill, N. T., Pierce, J. R., Russell, L. M., Schneider, J., Schulz, H., Sharma, S., Si, M., Staebler, R. M., Steiner, N. S., Thomas, J. L., von Salzen, K., Wentzell, J. J. B., Willis, M. D., Wentworth, G. R., Xu, J.-W., and Yakobi-Hancock, J. D.: Overview paper: New insights into aerosol and climate in the Arctic, Atmos. Chem. Phys., 19, 2527–2560, https://doi.org/10.5194/acp-19-2527-2019, 2019.
Agarwal, S., Moon, W., and Wettlaufer, J. S.: Decadal to seasonal variability of Arctic sea ice albedo, Geophys. Res. Lett., 38, L20504, https://doi.org/10.1029/2011GL049109, 2011.
AMAP: Snow, Water, Ice and Permafrost in the Arctic (SWIPA) 2017, Arctic Monitoring and Assessment Programme, Oslo, Norway, xiv + 269 pp., 2017.
Amundsen Science Data Collection: CTD data collected by the CCGS Amundsen in the Canadian Arctic. ArcticNet Inc., Québec, Canada, processed data, Version 1, Canadian Cryospheric Information Network (CCIN), Waterloo, Canada, https://doi.org/10.5884/12713, 2019.
Andreae, M. O.: Ocean-atmosphere interactions in the global biogeochemical sulfur cycle, Mar. Chem., 30, 1–29, https://doi.org/10.1016/0304-4203(90)90059-L, 1990.
Andreae, M. O. and Crutzen, P. J.: Atmospheric Aerosols: Biogeochemical Sources and Role in Atmospheric Chemistry, Science, 276, 1052–1058, https://doi.org/10.1126/science.276.5315.1052, 1997.
Archer, S. D., Cummings, D. G., Llewellyn, C. A., and Fishwick, J. R.: Phytoplankton taxa, irradiance and nutrient availability determine the seasonal cycle of DMSP in temperate shelf seas, Mar. Ecol.-Prog. Ser., 394, 111–124, https://doi.org/10.3354/meps08284, 2009.
Ardyna, M., Gosselin, M., Michel, C., Poulin, M., and Tremblay, J.-É.: Environmental forcing of phytoplankton community structure and function in the Canadian High Arctic: contrasting oligotrophic and eutrophic regions, Mar. Ecol.-Prog. Ser., 442, 37–57, https://doi.org/10.3354/meps09378, 2011.
Ardyna, M., Babin, M., Gosselin, M., Devred, E., Bélanger, S., Matsuoka, A., and Tremblay, J.-É.: Parameterization of vertical chlorophyll a in the Arctic Ocean: impact of the subsurface chlorophyll maximum on regional, seasonal, and annual primary production estimates, Biogeosciences, 10, 4383–4404, https://doi.org/10.5194/bg-10-4383-2013, 2013.
Arrigo, K. R.: Sea ice ecosystems, Annu. Rev. Mar. Sci., 6, 439–467, https://doi.org/10.1146/annurev-marine-010213-135103, 2014.
Arrigo, K. R., Perovich, D. K., Pickart, R. S., Brown, Z. W., van Dijken, G. L., Lowry, K. E., Mills, M. M., Palmer, M. A., Balch, W. M., Bahr, F., Bates, N. R., Benitez-Nelson, C., Bowler, B., Brownlee, E., Ehn, J. K., Frey, K. E., Garley, R., Laney, S. R., Lubelczyk, L., Mathis, J., Matsuoka, A., Mitchell, B. G., Moore, G. W. K., Ortega-Retuerta, E., Pal, S., Polashenski, C. M., Reynolds, R. A., Schieber, B., Sosik, H. M., Stephens, M., and Swift, J. H.: Massive phytoplankton blooms under arctic sea ice, Science, 336, 1408, https://doi.org/10.1126/science.1215065, 2012.
Asher, E. C., Dacey, J. W., Stukel, M., Long, M. C., and Tortell, P. D.: Processes driving seasonal variability in DMS, DMSP, and DMSO concentrations and turnover in coastal Antarctic waters, Limnol. Oceanogr., 62, 104–124, https://doi.org/10.1002/lno.10379, 2017.
Bates, T., Lamb, B., Guenther, A., Dignon, J., and Stoiber, R.: Sulfur Emissions to the Atmosphere from Natural Sources, J. Atmos. Chem., 14, 315–337, https://doi.org/10.1007/BF00115242, 1992.
Becagli, S., Lazzara, L., Marchese, C., Dayan, U., Ascanius, S., Cacciani, M., Caiazzo, L., Di Biagio, C., Di Iorio, T., di Sarra, A., Eriksen, P., Fani, F., Giardi, F., Meloni, D., Muscari, G., Pace, G., Severi, M., Traversi, R., and Udisti, R.: Relationships linking primary production, sea https://doi.org/10.1016/j.atmosenv.2016.04.002, 2016.
Becagli, S., Amore, A., Caiazzo, L., Di Iorio, T., di Sarra, A., Lazzara, L., Marchese, C., Meloni, D., Mori., G., Nuccio, G. M. C., Pace, G., Severi, M., and Traversi, R.: Biogenic Aerosol in the Arctic from Eight Years of MSA Data from Ny Ålesund (Svalbard Islands) and Thule (Greenland), Atmosphere, 10, 349, https://doi.org/10.3390/atmos10070349, 2019.
Bokhorst, S., Højlund Pedersen, S., Brucker, L., Anisimov, O., Bjerke, J. W., Brown, R. D., Ehrich, D., Essery, R. L. H., Heilig, A., Ingvander, S., Johansson, C., Johansson, M., Jónsdóttir, I. S., Inga, N., Luojus, K., Macelloni, G., Mriash, H., McLennan, D., Rosqvist, G. N., Sato, A., Savela, H., Schneebeli, M., Sokolov, A., Sokratov, S. A., Terzago, S., Vikhamar-Schuler, D., Williamson, S., Qiu, Y., and Callaghan, T. V.: Changing Arctic snow cover: A review of recent developments and assessment of future needs for observations, modelling, and impacts, Ambio, 45, 516, https://doi.org/10.1007/s13280-016-0770-0, 2016.
Booth, B. C., Larouche, P., Bélanger, S., Klein, B., Amiel, D., and Mei, Z. P.: Dynamics of Chaetoceros socialis blooms in the North Water, Deep-Sea Res. Pt. II, 49, 5003–5025, https://doi.org/10.1016/S0967-0645(02)00175-3, 2002.
Bouillon, R. C., Lee, P. A., De Mora, S. J., Levasseur, M., and Lovejoy, C.: Vernal distribution of dimethylsulphide, dimethylsulphoniopropionate, and dimethylsulphoxide in the North Water in 1998, Deep-Sea Res. Pt. II, 49, 5171–5189, https://doi.org/10.1016/S0967-0645(02)00184-4, 2002.
Bourke, R. H., Addison, V. G., and Paquette, R. G.: Oceanography of Nares Strait and Northern Baffin Bay in 1986 with emphasis on deep and bottom water formation, J. Geophys. Res.-Oceans, 94, 8289–8302, https://doi.org/10.1029/JC094iC06p08289, 1989.
Brown, Z. W., Lowry, K. E., Palmer, M. A., van Dijken, G. L., Mills, M. M., Pickart, R. S., and Arrigo, K. R.: Characterizing the subsurface chlorophyll a maximum in the Chukchi Sea and Canada Basin, Deep-Sea Res. Pt. II, 118, 88–104, https://doi.org/10.1016/j.dsr2.2015.02.010, 2015.
Browse, J., Carslaw, K. S., Arnold, S. R., Pringle, K., and Boucher, O.: The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol, Atmos. Chem. Phys., 12, 6775–6798, https://doi.org/10.5194/acp-12-6775-2012, 2012.
Burgers, T. M., Miller, L. A., Thomas, H., Else, B. G. T., Gosselin, M., and Papakyriakou, T.: Surface water pCO2 variations and sea-air CO2 fluxes during summer in the eastern Canadian Arctic, J. Geophys. Res.-Oceans, 122, 9663–9678, https://doi.org/10.1002/2017JC013250, 2017.
Cameron-Smith, P., Elliott, S., Maltrud, M., Erickson, D., and Wingenter, O.: Changes in dimethyl sulfide oceanic distribution due to climate change, Geophys. Res. Lett., 38, L07704, https://doi.org/10.1029/2011GL047069, 2011.
Carnat, G., Zhou, J., Papakyriakou, T., Delille, B., Goossens, T., Haskell, T., Schoemann, V., Fripiat, F., Rintala, J., and Tison, J.-L.: Physical and biological controls on DMS,P dynamics in ice shelf-influenced fast ice during a winter-spring and a spring-summer transitions, J. Geophys. Res.-Oceans, 119, 2882–2905, https://doi.org/10.1002/2013JC009381, 2014.
Carslaw, K. S., Lee, L. A., Reddington, C. L., Pringle, K. J., Rap, A., Forster, P. M., Mann, G. W., Spracklen, D. V., Woodhouse, M. T., Regayre, L. A., and Pierce, J. R.: Large contribution of natural aerosols to uncertainty in indirect forcing, Nature, 503, 67–71, https://doi.org/10.1038/nature12674, 2013.
Chang, R. Y. W., Sjostedt, S. J., Pierce, J. R., Papakyriakou, T. N., Scarratt, M. G., Michaud, S., Levasseur, M., Leaitch, W. R., and Abbatt, J. P. D.: Relating atmospheric and oceanic DMS levels to particle nucleation events in the Canadian Arctic, J. Geophys. Res.-Atmos., 116, 1–10, https://doi.org/10.1029/2011JD015926, 2011.
Collins, D. B., Burkart, J., Chang, R. Y.-W., Lizotte, M., Boivin-Rioux, A., Blais, M., Mungall, E. L., Boyer, M., Irish, V. E., Massé, G., Kunkel, D., Tremblay, J.-É., Papakyriakou, T., Bertram, A. K., Bozem, H., Gosselin, M., Levasseur, M., and Abbatt, J. P. D.: Frequent ultrafine particle formation and growth in Canadian Arctic marine and coastal environments, Atmos. Chem. Phys., 17, 13119–13138, https://doi.org/10.5194/acp-17-13119-2017, 2017.
Comiso, J. C.: Large decadal decline of the Arctic multiyear ice cover, J. Climate, 25, 1176–1193, https://doi.org/10.1175/JCLI-D-11-00113.1, 2012.
Comiso, J. C., Parkinson, C. L., Gersten, R., and Stock, L.: Accelerated decline in the Arctic sea ice cover, Geophys. Res. Lett., 35, L01703, https://doi.org/10.1029/2007GL031972, 2008.
Comiso, J. C., Meier, W. N., and Gersten, R.: Variability and trends in the Arctic Sea ice cover: Results from different techniques, J. Geophys. Res.-Oceans, 122, 6883–6900, https://doi.org/10.1002/2017JC012768, 2017.
Cooper, L. W., Frey, K. E., Logvinova, C., Biasatti, D. M., and Grebmeier, J. M.: Variations in the proportions of melted sea ice and runoff in surface waters of the Chukchi Sea: A retrospective analysis, 1990–2012, and analysis of the implications of melted sea ice in an under-ice bloom, Deep-Sea Res. Pt. II, 130, 6–13, https://doi.org/10.1016/j.dsr2.2016.04.014, 2016.
Curran, M. A. J. and Jones, G. B.: Dimethyl sulfide in the Southern Ocean: Seasonality and flux, J. Geophys. Res.-Atmos., 105, 20451–20459, https://doi.org/10.1029/2000JD900176, 2000.
Curry, B., Lee, C. M., and Petrie, B.: Volume, Freshwater, and heat fluxes through Davis Strait, 2004–5, J. Phys. Oceanogr., 41, 429–436, https://doi.org/10.1175/2010JPO4536.1, 2011.
Curson, A., Liu, J., Bermejo Martínez, A., Green, R. T., Chan, Y., Carrión, O., Williams, B. T., Zhang, S.-H., Yang, G.-P., Bulman Page, P. C., Zhang, X.-H., and Todd, J. D.: Dimethylsulfoniopropionate biosynthesis in marine bacteria and identification of the key gene in this process, Nat. Microbiol., 2, 17009, https://doi.org/10.1038/nmicrobiol.2017.9, 2017.
Dacey, J. W., Howse, F. A., Michaels, A. F., and Wakeham, S. G.: Temporal variability of dimethylsulfide and dimethylsulfoniopropionate in the Sargasso Sea, Deep-Sea Res. Pt. I, 45, 2085–2104, https://doi.org/10.1016/S0967-0637(98)00048-X, 1998
Environment Canada: MANICE – Manual of standard procedures for observing and reporting ice conditions, revised 9th Edn., Canadian Ice Service, Environment Canada, Ottawa, 2005.
Fortier, M., Fortier, L., Michel, C., and Legendre, L.: Climatic and biological forcing of the vertical flux of biogenic particles under seasonal Arctic sea ice, Mar. Ecol.-Prog. Ser., 225, 1–16, 2002.
Fragoso, G. M., Poulton, A. J., Yashayaev, I. M., Head, E. J. H., and Purdie, D. A.: Spring phytoplankton communities of the Labrador Sea (2005–2014): pigment signatures, photophysiology and elemental ratios, Biogeosciences, 14, 1235–1259, https://doi.org/10.5194/bg-14-1235-2017, 2017.
Gabric, A., Matrai, P., Jones, G., and Middleton, J.: The nexus between sea ice and polar emissions of marine biogenic aerosols, B. Am. Meteorol. Soc., 99, 61–81, https://doi.org/10.1175/BAMS-D-16-0254.1, 2018.
Galí, M. and Simó, R.: Occurrence and cycling of dimethylated sulfur compounds in the Arctic during summer receding of the ice edge, Mar. Chem., 122, 105–117, https://doi.org/10.1016/j.marchem.2010.07.003, 2010.
Galí, M. and Simó, R.: A meta-analysis of oceanic DMS and DMSP cycling processes: Disentangling the summer paradox, Global Biogeochem. Cy., 29, 496–515, 2015.
Galí, M., Devred, E., Babin, M., and Levasseur, M.: Decadal increase in Arctic dimethylsulfide emission, P. Natl. Acad. Sci. USA, 116, 19311–19317, https://doi.org/10.1073/pnas.1904378116, 2019.
Galindo, V., Levasseur, M., Mundy, C. J., Gosselin, M., Tremblay, J.-É., Scaratt, M., Gratton, Y., Papakyriakou, T., Poulin, M., and Lizotte, M.: Biological and physical processes influencing sea ice, under-ice algae, and dimethylsulfoniopropionate during spring in the Canadian Arctic Archipelago, J. Geophys. Res.-Oceans, 119, 3746–3766, https://doi.org/10.1002/2013JC009497, 2014.
Gosselin, M., Legendre, L., Therriault, J.-C., Demers, S., and Rochet, M.: Physical control of the horizontal patchiness of sea-ice microalgae, Mar. Ecol.-Prog. Ser., 29, 289–298, https://doi.org/10.3354/meps029289, 1986.
Gourdal, M., Lizotte, M., Massé, G., Gosselin, M., Poulin, M., Scarratt, M., Charette, J., and Levasseur, M.: Dimethyl sulfide dynamics in first-year sea ice melt ponds in the Canadian Arctic Archipelago, Biogeosciences, 15, 3169–3188, https://doi.org/10.5194/bg-15-3169-2018, 2018.
Gourdal, M., Crabeck, O., Lizotte, M., Galindo, V., Gosselin, M., Babin, M., Scarratt, M., and Levasseur, M.: Upward transport of bottom-ice dimethyl sulfide during advanced melting of arctic first-year sea ice, Elem. Sci. Anth., 7, p. 33, https://doi.org/10.1525/elementa.370, 2019.
Gradinger, R.: Sea-ice algae: Major contributors to primary production and algal biomass in the Chukchi and Beaufort Seas during May/June 2002, Deep-Sea Res. Pt. II, 56, 1201–1212, https://doi.org/10.1016/j.dsr2.2008.10.016, 2009.
Guillot, P.: Québec-Océan CTD processing and Quality Control Sequence, Technical report, Québec-Océan, Université Laval, Québec, 44 pp., 2007.
Hamilton, J. M., Collins, K., and Prinsenberg, S. J.: Links between ocean properties, ice cover, and plankton dynamics on interannual time scales in the Canadian Arctic Archipelago, J. Geophys. Res.-Oceans, 118, 5625–5639, https://doi.org/10.1002/jgrc.20382, 2013.
Hansen, H. P. and Koroleff, F.: Determination of nutrients, in: Methods of seawater analysis, edited by: Grasshoff, K., Kremling, K., and Ehrhardt, M., 3rd Edn., Wiley-VCH, Weinheim, 159–228, https://doi.org/10.1002/9783527613984.ch10, 1999.
Hayashida, H., Steiner, N., Monahan, A., Galindo, V., Lizotte, M., and Levasseur, M.: Implications of sea-ice biogeochemistry for oceanic production and emissions of dimethyl sulfide in the Arctic, Biogeosciences, 14, 3129–3155, https://doi.org/10.5194/bg-14-3129-2017, 2017.
Holland, M. M. and Landrum, L.: Factors affecting projected Arctic surface shortwave heating and albedo change in coupled climate models, Philos. T. R. Soc. A, 373, 20140162, https://doi.org/10.1098/rsta.2014.0162, 2015.
Holm-Hansen, O., Lorenzen, C. J., Holmes, R. W., and Strickland, J. D. H.: Fluorometric determination of chlorophyll, Journal du Conseil International pour l'Exploration de la Mer, 30, 3–15, https://doi.org/10.1093/icesjms/30.1.3, 1965.
Horner, R. and Schrader, G. C.: Relative contributions of ice algae, phytoplankton, and benthic microalgae to primary production in nearshore regions of the Beaufort Sea, Arctic, 35, 485–503, https://doi.org/10.14430/arctic2356, 1982.
Horvat, C., Jones, D. R., Iams, S., Schroeder, D., Flocco, D., and Feltham, D.: The frequency and extent of sub-ice phytoplankton blooms in the Arctic Ocean, Sci. Adv., 3, e1601191, https://doi.org/10.1126/sciadv.1601191, 2017.
Hsiao, S. I. C.: Dynamics of ice algae and phytoplankton in Frobisher Bay, Polar Biol., 12, 645–651, https://doi.org/10.1007/BF00236987, 1992.
IPCC: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge, UK and New York, NY, USA, https://doi.org/10.1017/CBO9781107415324, 2013.
Jarníková, T., Dacey, J., Lizotte, M., Levasseur, M., and Tortell, P.: The distribution of methylated sulfur compounds, DMS and DMSP, in Canadian subarctic and Arctic marine waters during summer 2015, Biogeosciences, 15, 2449–2465, https://doi.org/10.5194/bg-15-2449-2018, 2018.
JASP Team: JASP (Version 0.9.2.0), Windows 10 Professional, 2018.
Jones, E. P., Swift, J. H., Anderson, L. G., Lipizer, M., Civitarese, G., Falkner, K. K., Kattner, G., and McLaughlin, F.: Tracing Pacific water in the North Atlantic Ocean, J. Geophys. Res., 108, 3116, https://doi.org/10.1029/2001JC001141, C4, 2003.
Kauko, H. M., Olsen L. M., Duarte, P., Peeken, I., Granskog, M. A., Johnsen, G., Fernández-Méndez, M., Pavlov, A. K., Mundy, C. J., and Assmy, P.: Algal colonization of young arctic sea ice in spring, Front. Mar. Sci., 5, 199, https://doi.org/10.3389/fmars.2018.00199, 2018.
Keller, M. D.: Dimethyl sulfide production and marine phytoplankton: The importance of species composition and cell size, Biol. Oceanogr., 6, 375–382, https://doi.org/10.1080/01965581.1988.10749540, 1989.
Keller, M. D., Bellows, W. K., and Guillard, R. R. L.: Dimethyl sulfide production in marine phytoplankton, in: ACS symposium series, edited by: Saltzman, E. and Cooper, W. J., Biogenic sulfur in the environment, Am. Chem. Soc., Washington DC, 167–182, 1989.
Kettle, A. J., Andreae, M. O., Amouroux, D., Andreae, T. W., Bates, T. S., Berresheim, H., Bingemer, H., Boniforti, R., Curran, M. A. J., DiTullio, G. R., Helas, G., Jones, G. B., Keller, M. D., Kiene, R. P., Leck, C., Levasseur, M., Malin, G., Maspero, M., Matrai, P., McTaggart, A. R., Mihalopoulos, N., Nguyen, B. C., Novo, A., Putaud, J. P., Rapsomanikis, S., Roberts, G., Schebeske, G., Sharma, S., Simo, R., Staubes, R., Turner, S., and Uher, G.: A global database of sea surface dimethylsulfide (DMS) measurements and a procedure to predict sea surface DMS as a function of latitude, longitude, and month, Global Biogeochem. Cy., 13, 399–444, https://doi.org/10.1029/1999GB900004, 1999.
Kiene, R. P. and Slezak, D.: Low dissolved DMSP concentrations in seawater revealed by small-volume gravity filtration and dialysis sampling, Limnol. Oceanogr. Meth., 4, 80–85, https://doi.org/10.4319/lom.2006.4.80, 2006.
Kiene, R. P., Linn, L. J., and Bruton, J. A.: New and important roles for DMSP in marine microbial communities, J. Sea Res., 43, 209–224, https://doi.org/10.1016/S1385-1101(00)00023-X, 2000.
Kiene, R. P., Kieber, D. J., Slezak, D., Toole, D. A., del Valle, D. A., Bisgrove, J., Brinkley, J., and Rellinger, A.: Distribution and cycling of dimethylsulfide, dimethylsulfoniopropionate, and dimethylsulfoxide during spring and early summer in the Southern Ocean south of New Zealand, Aquat. Sci., 69, 305–319, https://doi.org/10.1007/s00027-007-0892-3, 2007.
Kim, A.-H., Yum, S. S., Lee, H., Chang, D. Y., and Shim, S.: Polar cooling effect due to increase of phytoplankton and dimethyl-sulfide emission, Atmosphere, 9, 384, https://doi.org/10.3390/atmos9100384, 2018.
Kwok, R. and Rothrock, D. A.: Decline in Arctic sea ice thickness from submarine and ICESat records: 1958–2008, Geophys. Res. Lett., 36, L15501, https://doi.org/10.1029/2009GL039035, 2009.
Kwok, R., Cunningham, G. F., and Pang, S. S.: Variability of Nares Strait ice flux, Geophys. Res. Lett., 32, L24502, https://doi.org/10.1029/2005GL024768, 2005.
Kwok, R., Toudal Pedersen, L., Gudmandsen, P., and Pang, S. S.: Large sea ice outflow into the Nares Strait in 2007, Geophys. Res. Lett., 37, L03502, https://doi.org/10.1029/2009GL041872, 2010.
Leaitch, W. R., Sharma, S., Huang, L., Toom-Sauntry, D., Chivulescu, A., Macdonald, A. M., Von Salzen, K., Pierce, J. R., Bertram, A. K., Schroder, J. C., Shantz, N. C., Chang, R. Y.-W., and Norman, A.-L.: Dimethyl sulfide control of the clean summertime Arctic aerosol and cloud, Elem. Sci. Anth., 1, 000017, https://doi.org/10.12952/journal.elementa.000017, 2013.
Lemon, D. D. and Fissel, D. B.: Seasonal variations in currents and water properties in northwestern Baffin Bay, 1978–1979, Arctic, 35, 211–218, 1982.
Levasseur, M.: Impact of Arctic meltdown on the microbial cycling of sulphur, Nat. Geosci., 6, 691–700, https://doi.org/10.1038/ngeo1910, 2013.
Liss, P. S. and Lovelock, J. E.: Climate change: the effect of DMS emissions, Environ. Chem., 4, 377–378, https://doi.org/10.1071/en07072, 2007.
Liu, J., Song, M., Horton, R. M., and Hu, Y.: Revisiting the potential of melt pond fraction as a predictor for the seasonal Arctic sea ice extent minimum, Environ. Res. Lett., 10, 054017, https://doi.org/10.1088/1748-9326/10/5/054017, 2015.
Lizotte, M., Levasseur, M., Michaud, S., Scarratt, M. G., Merzouk, A., Gosselin, M., Pommier, J., Rivkin, R. B., and Kiene, R. P.: Macroscale patterns of the biological cycling of dimethylsulfonopropionate (DMSP) and dimethylsulfide (DMS) in the Northwest Atlantic, Biogeochemistry, 110, 183–200, https://doi.org/10.1007/s10533-011-9698-4, 2012.
Lizotte, M., Levasseur, M., Galindo, V., Gourdal, M., Gosselin, M., Blais, M., and Charrette, J.: Dimethylsulfide (DMS) and dimethylsulfoniopropionate (DMSP) in Northern Baffin Bay during the 2014 ArcticNet/Netcare Campaign, metadata and data to “Phytoplankton and dimethylsulfide dynamics at two contrasting Arctic ice edges” by M. Lizotte et al., Canadian Cryospheric Information Network (CCIN), Waterloo, Canada, available at: https://www.polardata.ca/pdcsearch/PDCSearchDOI.jsp? doi_id=12145, last access: 24 March 2020.
Loeng, H., Brander, K., Carmack, E., Denisenko, S., Drinkwater, K., Hansen, B., Kovacs, K., Livingston, P., McLaughlin, F., and Sakshaug, E.: Marine systems, in: Arctic climate impact assessment edited by ACIA, Cambridge University Press, New York, 451–538, 2005.
Lovejoy, C., Legendre, L., and Martineau. M.: Distribution of phytoplankton and other protists in the North Water, Deep-Sea Res., 49, 5027–5047, https://doi.org/10.1016/S0967-0645(02)00176-5, 2002.
Luce, M., Levasseur,M., Scarratt, M. G., Michaud, S., Royer, S.-J., Kiene, R., Lovejoy, C., Gosselin, M., Poulin, M., Gratton, Y., and Lizotte, M.: Distribution and microbial metabolism of dimethylsulfoniopropionate and dimethylsulfide during the 2007 Arctic ice minimum, J. Geophys. Res., 116, C00G06, https://doi.org/10.1029/2010JC006914, 2011.
Lund, J. W. G., Kipling, C., and Le Cren, E. D.: The inverted microscope method of estimating algal number and the statistical basis of estimations by counting, Hydrobiologia, 11, 143–170, https://doi.org/10.1007/BF00007865, 1958.
Mahmood, R., von Salzen, K., Norman, A.-L., Galí, M., and Levasseur, M.: Sensitivity of Arctic sulfate aerosol and clouds to changes in future surface seawater dimethylsulfide concentrations, Atmos. Chem. Phys., 19, 6419-6435, https://doi.org/10.5194/acp-19-6419-2019, 2019.
Martin, J., Tremblay, J., Gagnon, J., Tremblay, G., Lapoussière, A., Jose, C., Poulin, M., Gosselin, M., Gratton, Y., and Michel, C.: Prevalence, structure and properties of subsurface chlorophyll maxima in Canadian Arctic waters, Mar. Ecol.-Prog. Ser., 412, 69–84, https://doi.org/10.3354/meps08666, 2010.
Matrai, P. A. and Vernet, M.: Dynamics of the vernal bloom in the marginal ice zone of the Barents Sea: Dimethyl sulfide and dimethylsulfoniopropionate budgets, J. Geophys. Res., 102, 22965–22979, https://doi.org/10.1029/96JC03870, 1997.
Maykut, G. A. and McPhee, M. G.: Solar heating of the Arctic mixed layer, J. Geophys. Res., 100, 24691–24703, https://doi.org/10.1029/95JC02554, 1995.
McGeehan, T. and Maslowski, W.: Evaluation and control mechanisms of volume and freshwater export through the Canadian Arctic Archipelago in a 3 high-resolution pan-Arctic ice-ocean model, J. Geophys. Res.-Oceans, 117, C00D14, https://doi.org/10.1029/2011JC007261, 2012.
Menzo, Z. M., Elliott, S., Hartin, C. A., Hoffman, F. M., and Wang, S.: Climate Change Impacts on Natural Sulfur Production: Ocean Acidification and Community Shifts, Atmosphere, 9, 167, https://doi.org/10.3390/atmos9050167, 2018.
Michel, C., Ingram, R. G., and Harris, L. R.: Variability in oceanographic and ecological processes in the Canadian Arctic Archipelago, Prog. Oceanogr., 71, 379–401, https://doi.org/10.1016/j.pocean.2006.09.006, 2006.
Michel, C., Hamilton, J., Hansen, E., Barber, D., Reigstad, M., Iacozza, J., Seuthe, L., and Niemi, A.: Arctic Ocean out-flow shelves in the changing Arctic: A review and perspectives, Prog. Oceanogr., 139, 66–88, https://doi.org/10.1016/j.pocean.2015.08.007, 2015.
Moore, G. W. K. and McNeil, K.: The early collapse of the 2017 Lincoln Sea ice arch in response to anomalous sea ice and wind forcing, Geophys. Res. Lett., 45, 8343–8351, https://doi.org/10.1029/2018GL078428, 2018.
Motard-Côté, J., Levasseur, M., Scarratt, M. G., Michaud, S., Gratton, Y., Rivkin, R. B., Keats, K., Gosselin, M., Tremblay, J.-É., Kiene, R. P., and Lovejoy, C.: Distribution and metabolism of dimethylsulfoniopropionate (DMSP) and phylogenetic affiliation of DMSP-assimilating bacteria in northern Baffin Bay/Lancaster Sound, J. Geophys. Res., 117, C00G11, https://doi.org/10.1029/2011JC007330, 2012.
Münchow, A.: Volume and Freshwater Flux Observations from Nares Strait to the West of Greenland at Daily Time Scales from 2003 to 2009, Am. Meteorol. Soc., 46, 141–157, https://doi.org/10.1175/JPO-D-15-0093.1, 2016.
Münchow, A., Falkner, K. K., and Melling, H.: Spatial continuity of measured seawater and tracer fluxes through Nares strait, a dynamically wide channel bordering the Canadian Archipelago, J. Mar. Res., 65, 767–798, https://doi.org/10.1357/002224007784219048, 2007.
Münchow, A., Falkner, K. K., and Melling, H.: Baffin Island and West Greenland current systems in northern Baffin Bay, Prog. Oceanogr., 132, 305–317, https://doi.org/10.1016/j.pocean.2014.04.001, 2015.
Mundy, C. J., Ehn, J. K., Barber, D. G., and Michel, C.: Influence of snow cover and algae on the spectral dependence of transmitted irradiance through Arctic landfast first-year sea ice, J. Geophys. Res., 112, C03007, https://doi.org/10.1029/2006JC003683, 2007.
Mundy, C. J., Gosselin, M., Ehn, J., Gratton, Y., Rossnagel, A., Barber, S. G., Martin, J., Tremblay, J.-É., Palmer, M., Arrigo, K. R., Darnis, G., Fortier, L., Else, B., and Papakyriakou, T.: Contribution of under-ice primary production to an ice edge upwelling phytoplankton bloom in the Canadian Beaufort Sea, Geophys. Res. Lett., 36, L17601, https://doi.org/10.1029/2009GL038837, 2009.
Mundy, C. J., Gosselin, M., Gratton, Y., Brown, K., Galindo, V., Campbell, K., Levasseur, M., Barber, D., Papakyriakou, T., and Bélanger, S.: Role of environmental factors on phytoplankton bloom initiation under landfast sea ice in Resolute Passage, Canada, Mar. Ecol.-Prog. Ser., 497, 39–39, https://doi.org/10.3354/meps10587, 2014.
Mungall, E. L., Croft, B., Lizotte, M., Thomas, J. L., Murphy, J. G., Levasseur, M., Martin, R. V., Wentzell, J. J. B., Liggio, J., and Abbatt, J. P. D.: Dimethyl sulfide in the summertime Arctic atmosphere: measurements and source sensitivity simulations, Atmos. Chem. Phys., 16, 6665–6680, https://doi.org/10.5194/acp-16-6665-2016, 2016.
Neukermans, G., Oziel, L., and Babin, M.: Increased intrusion of warming Atlantic water leads to rapid expansion of temperate phytoplankton in the Arctic, Glob. Change Biol., 24, 2545–2553, https://doi.org/10.1111/gcb.14075, 2018.
Nghiem, S. V., Rigor, I. G., Perovich, D. K., Clemente-Colon, P., and Weatherly, J. W.: Rapid reduction of Arctic perennial sea ice, Geophys. Res. Lett., 34, L19504, https://doi.org/10.1029/2007GL031138, 2007.
Nicolaus, M., Katlein, C., Maslanik, J., and Hendricks, S.: Changes in Arctic sea ice result in increasing light transmittance and absorption, Geophys. Res. Lett., 39, L24501, https://doi.org/10.1029/2012GL053738, 2012.
Niki, T., Shimizu, M., Fujishiro, A., and Kinoshita, J.: Effects of salinity downshock on dimethylsulfide production, J. Oceanogr., 63, 873–877, https://doi.org/10.1007/s10872-007-0074-x, 2007.
Overland, J. E. and Wang, M.: When will the summer Arctic be nearly sea ice free?, Geophys. Res. Lett., 40, 2097–2101, https://doi.org/10.1002/grl.50316, 2013.
Oziel, L., Massicotte, P., Randelhoff, A., Ferland, J., Vladoiu, A., Lacour, L., Galindo, V., Lambert-Girard, S., Dumont, D., Cuypers, Y., Bouruet-Aubertot, P., Mundy, C.-J., Ehn, J., Bécu, G., Marec, C., Forget, M.-H., Garcia, N., Coupel, P., Raimbault, P., Houssais, M.-N., and Babin, M.: Environmental factors influencing the seasonal dynamics of spring algal blooms in and beneath sea ice in western Baffin Bay, Elem. Sci. Anth., 7, 34, https://doi.org/10.1525/elementa.372, 2019.
Palmer, M. A., Saenz, K., and Arrigo, K. R.: Impacts of sea ice retreat, thinning, and melt-pond proliferation on the summer phytoplankton bloom in the Chukchi Sea, Arctic Ocean, Deep-Sea Res. Pt. II, 105, 85–104, https://doi.org/10.1016/j.dsr2.2014.03.016, 2014.
Park, K.-T., Lee, K., Kim, T.-W., Yoon, Y. J., Jang, E.-H., Jang, S., Lee, B.-Y., and Hermansen, O.: Atmospheric DMS in the Arctic Ocean and its relation to phytoplankton biomass, Global Biogeochem. Cy., 32, 351–359, https://doi.org/10.1002/2017GB005805, 2018.
Parkinson, C. L. and Comiso, J. C.: On the 2012 record low Arctic sea ice cover: combined impact of preconditioning and an August storm, Geophys. Res. Lett., 40, 1356–1361, https://doi.org/10.1002/GRL.50349, 2013.
Parsons, T. R., Maita, Y., and Lalli, C. M.: A manual of chemical and biological methods for seawater analysis, Pergamon, New York, https://doi.org/10.1016/C2009-0-07774-5, 1984.
Perrette, M., Yool, A., Quartly, G. D., and Popova, E. E.: Near-ubiquity of ice-edge blooms in the Arctic, Biogeosciences, 8, 515–524, https://doi.org/10.5194/bg-8-515-2011, 2011.
Peterson, I., Prinsenberg, S., Hamilton, J., and Pettipas, R.: Variability of oceanographic and ice properties in the Canadian Arctic Archipelago, Bedford Institute of Oceanography, DFO-MPO, ICES CM 2008/B:16, 2008.
Pettipas, R., Hamilton, J., and Prinsenberg, S.: Moored current meter and CTD observations from Barrow Strait, 2004–2005, Can. Data Rep. Hydrogr. Ocean Sci., Dartmouth, 174, vii + 135 pp., 2008.
Polashenski, C., Perovich, D., and Courville, Z.: The mechanisms of sea ice melt pond formation and evolution, J. Geophys. Res., 117, C01001, https://doi.org/10.1029/2011JC007231, 2012.
Poulin, M., Daugbjerg, N., Gradinger, R., Ilyash, L., Ratkova, T., and von Quillfeldt, C.: The pan-Arctic biodiversity of marine pelagic and sea-ice unicellular eukaryotes: A first-attempt assessment, Mar. Biodiversity, 41, 13–28, https://doi.org/10.1007/s12526-010-0058-8, 2011.
Prinsenberg, S. J. and Bennett, E. B.: Mixing and transport in Barrow Strait, the central part of the northwest passage, Cont. Shelf. Res., 7, 9160935, https://doi.org/10.1016/0278-4343(87)90006-9, 1987.
Ryan, P. A. and Münchow, A.: Sea ice draft observations in Nares Strait from 2003 to 2012, J. Geophys. Res.-Oceans, 122, 3057–3080, https://doi.org/10.1002/2016JC011966, 2017.
Rothrock, D. A., Yu, Y., and Maykut, G. A.: Thinning of the Arctic sea-ice cover, Geophys. Res. Lett., 26, 3469–3472, https://doi.org/10.1029/1999GL010863, 1999.
Sakshaug, E. and Skjoldal, H.: Life at the ice edge, Ambio, 18, 60–67, 1989.
Schlitzer, R.: Ocean Data View, available at: https://odv.awi.de, last access: 16 November 2018.
Schoemann, V., Becquevort, S., Stefels, J., Rousseau, V., and Lancelot, C.: Phaeocystis blooms in the global ocean and their controlling mechanisms: a review, J. Sea Res., 53, 43–66, https://doi.org/10.1016/j.seares.2004.01.008, 2005.
Selz, V., Saenz, B. T., Dijken, G. L., and Arrigo, K. R.: Drivers of ice algal bloom variability between 1980 and 2015 in the Chukchi Sea, J. Geophys. Res.-Oceans, 123, 7037–7052, https://doi.org/10.1029/2018JC014123, 2018.
Serreze, M. C. and Meier, W. N.: The Arctic's sea ice cover: trends, variability, predictability, and comparisons to the Antarctic, Ann. NY Acad. Sci., 1436, 36–53, https://doi.org/10.1111/nyas.13856, 2019.
Serreze, M. C. and Stroeve, J.: Arctic sea ice trends, variability and implications for seasonal ice forecasting, Philos. T. R. Soc. A, 373, 20140159, https://doi.org/10.1098/rsta.2014.0159, 2015.
Serreze, M. C., Barrett, A. P., Slater, A. G., Steele, M., Zhang, J., and Trenberth, K. E.: The large-scale energy budget of the Arctic, J. Geophys. Res., 112, D11122, https://doi.org/10.1029/2006JD008230, 2007.
Sharma, S., Chan, E., Ishizawa, M., Toom-Sauntry, D., Gong, S. L., Li, S. M., Tarasick, D. W., Leaitch, W. R., Norman, A., Quinn, P. K., Bates, T. S., Levasseur, M., Barrie, L. A., and Maenhaut, W.: Influence of transport and ocean ice extent on biogenic aerosol sulfur in the Arctic atmosphere, J. Geophys. Res., 117, D12209, https://doi.org/10.1029/2011JD017074, 2012.
Simmonds, I.: Comparing and contrasting the behaviour of Arctic and Antarctic sea ice over the 35-year period 1979–2013, Ann. Glaciol., 56, 18–28, https://doi.org/10.3189/2015AoG69A909, 2015.
Simó, R.: Production of atmospheric sulfur by oceanic plankton: Biogeochemical, ecological and evolutionary links, Trends Ecol. Evol., 16, 287–294, https://doi.org/10.1016/S0169-5347(01)02152-8, 2001.
Simó, R. and Pedrós-Alió, C.: Role of vertical mixing in controlling the oceanic production of dimethyl sulphide, Nature, 402, 396–399, 1999.
Simo-Matchim, A.-G., Gosselin, M., Poulin, M., Ardyna, M., and Lessard, S.: Summer and fall distribution of phytoplankton in relation to environmental variables in Labrador fjords, with special emphasis on Phaeocystis pouchetii. Mar. Ecol.-Prog. Ser., 572, 19–42, https://doi.org/10.3354/meps12125, 2017.
Stefels, J.: Physiological aspects of the production and conversion of DMSP in marine algae and higher plants, J. Sea Res., 43, 183–197, https://doi.org/10.1016/S1385-1101(00)00030-7, 2000.
Stefels, J. and Dijkhuizen, L.: Characteristics of DMSP-lyase in Phaeocystis sp. (Prymnesiophyceae), Mar. Ecol.-Prog. Ser., 131, 307–313, 1996.
Stefels, J., Steinke, M., Turner, S., Malin, G., and Belviso, S.: Environmental constraints on the production and removal of the climatically active gas dimethylsulphide (DMS) and implications for ecosystem modelling, Biogeochemistry, 83, 245–275, https://doi.org/10.1007/s10533-007-9091-5, 2007.
Steiner, N., Sou, T., Deal, C., Jackson, J. M., Jin, M., Popova, E., Williams, W., and Yool, A.: The future of the subsurface chlorophyll-a maximum in the Canadian Basin – A model intercomparison, J. Geophys. Res.-Oceans, 121, 387–409, https://doi.org/10.1002/2015JC011232, 2015.
Strass, V. H. and Nöthig, E. M.: Seasonal shifts in ice edge phytoplankton blooms in the Barents Sea related to the water column stability, Polar Biol., 16, 409–422, 1996.
Stroeve, J., Holland, M. M., Meier, W., Scambos, T., and Serreze, M.: Arctic sea ice decline: faster than forecast, Geophys. Res. Lett., 34, L09501, https://doi.org/10.1029/2007GL029703, 2007.
Stroeve, J., Serreze, M., Drobot, S., Gearheard, S., Holland, M., Maslanik, J., Meier, W., and Scambos, T.: Arctic sea ice extent plummets in 2007, EOS T. Am. Geophys. Un., 89, 13–14, 2008.
Stroeve, J. C., Markus, T., Boisvert, L., Miller, J., and Barrett, A.: Changes in Arctic melt season and implications for sea ice loss, Geophys. Res. Lett., 41, 1216–1225, https://doi.org/10.1002/2013GL058951, 2014.
Sunda, W., Kieber, D. J., Kiene, R. P., and Huntsman, S.: An antioxidant function for DMSP and DMS in marine algae, Nature, 418, 317–320, https://doi.org/10.1038/nature00851, 2002.
Thomson, R. E. and Fine, I. V.: Estimating mixed layer depth from oceanic profile data, J. Atmos. Ocean. Tech., 20, 319–329, https://doi.org/10.1175/1520-0426(2003)020<0319:EMLDFO>2.0.CO;2, 2003.
Tison, J. L., Brabant, F., Dumont, I., and Stefels, J.: High-resolution dimethyl sulfide and dimethylsulfoniopropionate time series profiles in decaying summer first-year sea ice at Ice Station Polarstern, western Weddell Sea, Antarctica, J. Geophys. Res., 115, G04044, https://doi.org/10.1029/2010JG001427, 2010.
Toole, D. A. and Siegel A. D.: Light-driven cycling of dimethylsulfide (DMS) in the Sargasso Sea: closing the loop, Geophys. Res. Lett., 31, L09308, https://doi.org/10.1029/2004GL019581, 2004.
Tremblay, G., Belzile, C., Gosselin, M., Poulin, M., Roy, S., and Tremblay, J.-É.: Late summer phytoplankton distribution along 3500 km transect in Canadian Arctic waters: strong numerical dominance by picoeukaryotes, Aquat. Microb. Ecol., 54, 55–70, https://doi.org/10.3354/ame01257, 2009.
Tremblay, J.-É., Lucas, M. I., Kattner, G., Pollard, R., Strass, V. H., Bathmann, U., and Bracher, A.: Significance of the polar frontal zone for large-sized diatoms and new production during summer in the Atlantic sector of the Southern Ocean, Deep-Sea Res. Pt. II, 49, 3793–3812, https://doi.org/10.1016/S0967-0645(02)00111-X, 2002.
Tremblay, J.-É., Simpson, K., Martin, J., Miller, L., Gratton, Y., Barber, D., and Price, N.: Vertical stability and the annual dynamics of nutrients and chlorophyll fluorescence in the coastal, southeast Beaufort Sea, J. Geophys. Res., 113, C07S90, https://doi.org/10.1029/2007JC004547, 2008.
Tremblay, J.-É., Robert, D., Varela, D. E., Lovejoy, C., Darnis, G., Nelson, R. J., and Sastri, A. R.: Current state and trends in Canadian Arctic marine ecosystems: I. Primary production, Climate Change, 115, 161–178, https://doi.org/10.1007/s10584-012-0496-3, 2012.
Trevena, A. J. and Jones, G. B.: Dimethylsulphide and dimethylsulphoniopropionate in Antarctic sea ice and their release during sea ice melting, Mar. Chem., 98, 210–222, https://doi.org/10.1016/j.marchem.2005.09.005, 2006.
Tschudi, M. A., Stroeve, J. C., and Stewart, J. S.: Relating the age of Arctic sea ice to its thickness, as measured during NASA's ICESat and IceBridge Campaigns, Remote Sens., 8, 457, https://doi.org/10.3390/rs8060457, 2016.
Vallina, S. M. and Simó, R.: Strong relationship between DMS and the solar radiation dose over the global surface ocean, Science, 315, 506–509, https://doi.org/10.1126/science.1133680, 2017.
Van Bergeijk, S., van der Zee, C., and Stal, L. J.: Uptake and excretion of dimethylsulphoniopropionate is driven by salinity changes in the marine benthic diatom Cylindrotheca closterium, Eur. J. Phycol., 38, 341–349, https://doi.org/10.1080/09670260310001612600, 2003.
van Duyl, F. C., Gieskes, W. W. C., Kop, A. J., and Lewis, W. E.: Biological control of short-term variations in the concentration of DMSP and DMS during a Phaeocystis spring bloom, J. Sea Res., 40, 221–231, https://doi.org/10.1016/S1385-1101(98)00024-0, 1998.
Van Leeuwe, M. A., Tedesco, L., Arrigo, K. R., Assmy, P., Campbell, K., Meiners, K. M., Rintala, J.-M., Selz, V., Thomas, D. N., and Stefels, J.: Microalgal community structure and primary production in Arctic and Antarctic sea ice: A synthesis, Elem. Sci. Anth., 6, 4, https://doi.org/10.1525/elementa.267, 2018.
Verity, P. G., Brussaard, C. P., Nejstgaard, J. C., van Leeuwe, M. A., Lancelot, C., and Medlin, L. K.: Current understanding of Phaeocystis ecology and biogeochemistry, and perspectives for future research, Biogeochemistry, 83, 311–330, https://doi.org/10.1007/s10533-007-9090-6, 2007.
Vila-Costa, M., Kiene, R. P., and Simó, R.: Seasonal variability of the dynamics of dimethylated sulfur compounds in a coastal northwest Mediterranean site, Limnol. Oceanogr., 53, 198–211, https://doi.org/10.4319/lo.2008.53.1.0198, 2008.
Wang, M. and Overland, J. E.: A sea ice free summer Arctic within 30 years: An update from CMIP5 models, Geophys. Res. Lett., 39, L18501, https://doi.org/10.1029/2012GL052868, 2012.
Wassmann, P., Carroll, J., and Bellerby, R. G. J.: Carbon flux and ecosystem feedback in the northern Barents Sea in an era of climate change: An introduction, Deep-Sea Res. Pt. II, 55, 2143–2153, https://doi.org/10.1016/j.dsr2.2008.05.025, 2008.
Wassmann, P., Duarte, C. M., Agustí, S., and Sejr, M. K.: Footprints of climate change in the Arctic marine ecosystem, Glob. Change Biol., 17, 1235–1249, https://doi.org/10.1111/j.1365-2486.2010.02311.x, 2011.