Physical and biological characteristics of the pelagic system across Fram Strait to Kongsfjorden

50
Physical and biological characteristics of the pelagic system across Fram Strait to Kongsfjorden Haakon Hop a, * , Stig Falk-Petersen a , Harald Svendsen a,b , Slawek Kwasniewski c , Vladimir Pavlov a , Olga Pavlova a , Janne E. Søreide d a Norwegian Polar Institute, N-9296 Tromsø, Norway b Geophysical Institute, University of Bergen, Allegt. 70, N-5007 Bergen, Norway c Institute of Oceanology, Polish Academy of Sciences, Powstancow Warszawy St. 55, 81-712 Sopot, Poland d Akvaplan-niva, N-9296 Tromsø, Norway Abstract The Fram Strait is very important with regard to heat and mass exchange in the Arctic Ocean, and the large quantities of heat carried north by the West Spitsbergen Current (WSC) influence the climate in the Arctic region as a whole. A large volume of water and ice is transported through Fram Strait, with net water transport of 1.7–3.2 Sv southward in the East Greenland Current and a volume ice flux in the range of 0.06–0.11 Sv. The mean annual ice flux is about 866,000 km 2 yr 1 . The Kongsfjorden–Krossfjorden fjord system on the coast of Spitsbergen, or at the eastern extreme of Fram Strait, is mainly affected by the northbound transport of water in the WSC. Mixing processes on the shelf result in Transformed Atlantic Water in the fjords, and the advection of Atlantic water also carries boreal fauna into the fjords. The phytoplank- ton production is about 80 g C m 2 yr 1 in Fram Strait, and has been estimated both below and above this for Kongs- fjorden. The zooplankton fauna is diverse, but dominated in terms of biomass by calanoid copepods, particularly Calanus glacialis and C. finmarchicus. Other important copepods include C. hyperboreus, Metridia longa and the smaller, more numerous Pseudocalanus (P. minutus and P. acuspes), Microcalanus (M. pusillus and M. pygmaeus) and Oithona similis. The most important species of other taxa appear to be the amphipods Themisto libellula and T. abyssorum, the euphausiids Thysanoessa inermis and T. longicaudata and the chaetognaths Sagitta elegans and Eukrohnia hamata. A comparison between the open ocean of Fram Strait and the restricted fjord system of Kongsfjorden–Krossfjorden can be made within limitations. The same species tend to dominate, but the Fram Strait zooplankton fauna differs by the presence of meso- and bathypelagic copepods. The seasonal and inter-annual variation in zooplankton is described for Kongsfjorden based on the record during July 1996–2002. The ice macrofauna is much less diverse, consisting of a handful of amphipod species and the polar cod. The ice-associated biomass transport of ice-amphipods was calculated, based on the ice area transport, at about 3.55 · 10 6 ton wet weight per year or about 4.2 · 10 5 t C yr 1 . This represents a large energy input to the Green- land Sea, but also a drain on the core population residing in the multi-year pack ice (MYI) in the Arctic Ocean. A con- tinuous habitat loss of MYI due to climate warming will likely reduce dramatically the sympagic food source. The pelagic and sympagic food web structures were revealed by stable isotopes. The carbon sources of particulate organic matter (POM), being Ice-POM and Pelagic-POM, revealed different isotopic signals in the organisms of the food web, and also provided information about the sympagic–pelagic and pelagic–benthic couplings. The marine food web and energy path- ways were further determined by fatty acid trophic markers, which to a large extent supported the stable isotope picture of 0079-6611/$ - see front matter Ó 2006 Elsevier Ltd. All rights reserved. doi:10.1016/j.pocean.2006.09.007 * Corresponding author. Tel.: +47 77 75 05 22; fax: +47 77 75 05 01. E-mail address: [email protected] (H. Hop). Progress in Oceanography 71 (2006) 182–231 www.elsevier.com/locate/pocean Progress in Oceanography

Transcript of Physical and biological characteristics of the pelagic system across Fram Strait to Kongsfjorden

Progress in Oceanography 71 (2006) 182–231

www.elsevier.com/locate/pocean

Progress inOceanography

Physical and biological characteristics of the pelagicsystem across Fram Strait to Kongsfjorden

Haakon Hop a,*, Stig Falk-Petersen a, Harald Svendsen a,b, Slawek Kwasniewski c,Vladimir Pavlov a, Olga Pavlova a, Janne E. Søreide d

a Norwegian Polar Institute, N-9296 Tromsø, Norwayb Geophysical Institute, University of Bergen, Allegt. 70, N-5007 Bergen, Norway

c Institute of Oceanology, Polish Academy of Sciences, Powstancow Warszawy St. 55, 81-712 Sopot, Polandd Akvaplan-niva, N-9296 Tromsø, Norway

Abstract

The Fram Strait is very important with regard to heat and mass exchange in the Arctic Ocean, and the large quantitiesof heat carried north by the West Spitsbergen Current (WSC) influence the climate in the Arctic region as a whole. A largevolume of water and ice is transported through Fram Strait, with net water transport of 1.7–3.2 Sv southward in the EastGreenland Current and a volume ice flux in the range of 0.06–0.11 Sv. The mean annual ice flux is about 866,000 km2 yr�1.The Kongsfjorden–Krossfjorden fjord system on the coast of Spitsbergen, or at the eastern extreme of Fram Strait, ismainly affected by the northbound transport of water in the WSC. Mixing processes on the shelf result in TransformedAtlantic Water in the fjords, and the advection of Atlantic water also carries boreal fauna into the fjords. The phytoplank-ton production is about 80 g C m�2 yr�1 in Fram Strait, and has been estimated both below and above this for Kongs-fjorden. The zooplankton fauna is diverse, but dominated in terms of biomass by calanoid copepods, particularly Calanus

glacialis and C. finmarchicus. Other important copepods include C. hyperboreus, Metridia longa and the smaller, morenumerous Pseudocalanus (P. minutus and P. acuspes), Microcalanus (M. pusillus and M. pygmaeus) and Oithona similis.The most important species of other taxa appear to be the amphipods Themisto libellula and T. abyssorum, the euphausiidsThysanoessa inermis and T. longicaudata and the chaetognaths Sagitta elegans and Eukrohnia hamata. A comparisonbetween the open ocean of Fram Strait and the restricted fjord system of Kongsfjorden–Krossfjorden can be made withinlimitations. The same species tend to dominate, but the Fram Strait zooplankton fauna differs by the presence of meso- andbathypelagic copepods. The seasonal and inter-annual variation in zooplankton is described for Kongsfjorden based onthe record during July 1996–2002. The ice macrofauna is much less diverse, consisting of a handful of amphipod speciesand the polar cod. The ice-associated biomass transport of ice-amphipods was calculated, based on the ice area transport,at about 3.55 · 106 ton wet weight per year or about 4.2 · 105 t C yr�1. This represents a large energy input to the Green-land Sea, but also a drain on the core population residing in the multi-year pack ice (MYI) in the Arctic Ocean. A con-tinuous habitat loss of MYI due to climate warming will likely reduce dramatically the sympagic food source. The pelagicand sympagic food web structures were revealed by stable isotopes. The carbon sources of particulate organic matter(POM), being Ice-POM and Pelagic-POM, revealed different isotopic signals in the organisms of the food web, and alsoprovided information about the sympagic–pelagic and pelagic–benthic couplings. The marine food web and energy path-ways were further determined by fatty acid trophic markers, which to a large extent supported the stable isotope picture of

0079-6611/$ - see front matter � 2006 Elsevier Ltd. All rights reserved.

doi:10.1016/j.pocean.2006.09.007

* Corresponding author. Tel.: +47 77 75 05 22; fax: +47 77 75 05 01.E-mail address: [email protected] (H. Hop).

H. Hop et al. / Progress in Oceanography 71 (2006) 182–231 183

the marine food web, although some discrepancies were noted, particularly with regard to predator–prey relationships ofctenophores and pteropods.� 2006 Elsevier Ltd. All rights reserved.

Keywords: Oceanographic conditions; Sea ice flux; Pelagic food web; Ice biota; Stable isotopes; Lipids

1. Introduction

The Fram Strait, between Greenland and Svalbard, represents the only deep connection to the ArcticOcean (Fig. 1). The Svalbard archipelago consists of many islands, with Spitsbergen being the largestone facing Fram Strait to the west. The exchange of water masses between the north Atlantic and the ArcticOcean takes place in two opposing current systems: the West Spitsbergen Current (WSC) heading northalong the shelf slope on eastern part of the region and the East Greenland Current (EGC) heading south-ward along Greenland. The Fram Strait is very important with regard to heat and mass exchange in theArctic Ocean, and the large quantities of heat carried north by the WSC influence the climate in the Arcticregion as a whole. The inflow of Atlantic water into the Arctic Ocean through Fram Strait and the BarentsSea is about 5–10 times larger than the inflow of Pacific water through the Bering Strait (Haugan, 1999;Rudels et al., 1999; Schauer et al., 2002). The export of cold polar surface water and ice by the EGC iseven larger, with a net transport southwards for the Fram Strait system. The heat balance is further com-plicated by deep-water formation in the Greenland Sea (>3500 m deep) and associated deep currents (Aag-aard et al., 1985).

The extent of the ice cover in the Nordic Seas in spring has decreased since 1860 due to the net thermaleffect of the northbound currents (Vinje, 2001). A continuation of this trend is predicted by global circula-tion models (GCMs; IPCC, 2000). If these predictions are correct, a permanent warming of the climate ofthe Arctic and a further decrease of the sea ice extent and thickness in the Barents Sea and the Arctic Oceanwill occur. Since the first evidence of warming in the Atlantic Water (AW) was found in the Nansen Basinin 1990 (Quadfasel et al., 1991), both observations (Woodgate et al., 2001) and modelling indicate a variablenature of AW flow, with abrupt cooling/warming events. There is general agreement that the Arctic Oceanat present is in a transition towards a new, warmer state (e.g. Polyakov et al., 2005). The cause of thesevariations are not well understood, but variations in the inflow of AW and outflow of Polar Water(PW) masses and sea ice are shown to be related to the Arctic Oscillation (AO; Rigor et al., 2002; Zhanget al., 2003) and the North Atlantic Oscillation (NAO; Dickson et al., 2000) on inter-annual and decadalscales. These pressure systems are strongly linked to the atmospheric heat balance. Climate changes maythus alter the strength of the large-scale ocean circulation in the region. This would change the relativeamount of source waters (PW and AW) that are mixed and subsequently result in modification of the watermasses created on the shelf off West-Spitsbergen. The mixing of AW with the coastal Arctic Water (ArW)from the South Cape Current results in Transformed Atlantic Water (TAW). This water mass is advectedacross the shelf towards the coast (Saloranta and Svendsen, 2001) and subsequently into the fjords on Spits-bergen (Svendsen et al., 2002; Cottier et al., 2005). The advected water masses carry associated Arctic andAtlantic fauna into the fjords (Basedow et al., 2004; Willis et al., 2006). The magnitude of the advection intothe fjords varies both seasonally and annually depending on the strength of a geostrophic control mecha-nism in the fjord mouth. Climate change affecting water mass distribution and sea ice conditions is expectedto have large effects on ecosystem functions on different scales.

The Kongsfjorden–Krossfjorden fjord system is particularly suitable for studies of effects of climatechanges on ecosystems because it lies adjacent to both Arctic and Atlantic water masses (Fig. 1). In addition,a substantial amount of observations is available from this area (reviews, Hop et al., 2002b; Svendsen et al.,2002). The inclusion of these observations and existing time-series for this area is imperative for the detectionof changes. In particular, we have a relatively long (10 yrs, since 1996) time series of zooplankton compositionfor this area. Changes in abundance, size and energy content of zooplankton prey influence the energy fluxthrough the pelagic food web and cascade into ecological consequences for growth and survival of seabirdsand marine mammals (Falk-Petersen et al., 1990, 2006; Dahl et al., 2000, 2003).

Fig. 1. The Fram Strait region, showing stations sampled for food web structures: Northeast Water Polynya in June/July 1993 (Hobsonet al., 1995), Stns. 882 (September 1999), 890 (October 1999) and 1003 (September 2000) from Søreide et al. (in press), and stations southand west of Svalbard (white circles) in January 1999 (Sasaki et al., 2001; Sato et al., 2002). The underlying map was obtained from NOAA(www.ngdc.noaa.gov/mgg/bathymetry/arctic/currentmap.html). Kongsfjorden and Krossfjorden on Spitsbergen (lower panel), the largestisland in the Svalbard archipelago, with transect stations for CTD and zooplankton sampling with MPS and WP3 nets (modified fromSvendsen et al., 2002).

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The ecosystem components considered here constitute the pelagic and sympagic (ice-associated) systems,which are influenced by different water masses and ice conditions. The physical part focuses on the physicaloceanographic conditions and sea ice conditions, whereas the biological parts focus on the lower trophic levels

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of the marine pelagic food web and its energy pathways to middle-to-upper levels. A comparison between theopen ocean of Fram Strait and the restricted fjord system of Kongsfjorden–Krossfjorden is performed withinlimitations. The main problems relate to the lack of data on marine organisms collected simultaneously orsemi-simultaneously from each environment during the same season, and the lack of data collected by anal-ogous sampling gear from comparable environments (e.g. equivalent water layers). Both areas generally lacksystematic faunistic surveys, even though the record for Kongsfjorden is quite extensive (Hop et al., 2002b).This is particularly surprising in the case of Fram Strait, taking into account its role in the exchange of bio-mass and energy between the Nordic Seas and the Arctic Ocean. It has often been suggested, however, that thezooplankton faunistic information from these areas can be supplemented by the available information onfauna of the adjacent waters of the Nordic Seas or the Arctic Mediterranean (Smith, 1988; Longhurst,1998). The main pelagic predators in the system include fishes, marine mammals and seabirds, some of whichare associated with ice (e.g. seals and walruses). Their predatory impact on the lower trophic levels has beenestimated for the Kongsfjorden system (Hop et al., 2002b). The population numbers of predators in FramStrait are only known for some species, such as harp seals (ICES, 2004). Consumption by predators in thesystem has not been estimated, but some indications can be obtained from estimates for the neighbouringBarents Sea (Sakshaug et al., 1994; Wassmann et al., 2006) and the Norwegian Sea (Skjoldal et al., 2004).The ecosystem structure and function in the area of Fram Strait–Kongsfjorden are here revealed by meansof stable isotopes of carbon and nitrogen as well as fatty acid trophic markers.

2. Oceanographic conditions of Fram Strait

Numerous studies based on direct observations and modelling of the currents have provided relatively largedifferences in estimates of southward and northward water volume transport through Fram Strait, rangingfrom 2.1–13.7 Sv to 1.0–9.5 Sv, respectively (Table 1). However, the net transport estimated though FramStrait is relatively similar and varying from 1.7 to 4.2 Sv, with the exception of one low estimate by Zhanget al. (2000). The most realistic estimates of the volume transport through Fram Strait have probably beensuggested by Fahrbach et al. (2001) based on high-density observations from 14 current meter mooringsdeployed in Fram Strait from September 1997 to September 1999. Their values for the northward (9.5 Sv),southward (13.7 Sv) and net (4.2 Sv) transports are higher than previous estimates, but are in good agreementwith the most recent modelling results (Maslowski et al., 2004).

The variations in temperature and current velocities (1997–1998) have a pronounced annual cycle in FramStrait, except in the southward flow in the western part of the strait where the velocity has no clear annualcycle (Fig. 2). Maximum velocities and relatively high temperatures are observed in the WSC in the easternpart of Fram Strait, whereas maximum velocities in the southward flow and associated low temperaturesare observed in the upper layer of the EGC in the western part of Fram Strait.

Table 1Estimates of volume transport (Sv) through Fram Strait

Method Northward transport Southward transport Net transport Author(s)

Modelling 1.0 2.7 1.7 Holland et al. (1996)Modelling 3.2 6.4 3.2 Gerdes and Schauer (1997)Modelling 2.4–2.6 2.1–2.4 0–0.5 Zhang et al. (2000)Modelling 1.5 3.4 1.9 Karcher and Oberhuber (2002)Modelling 6.4 8.7 2.3 Maslowski et al. (2004)Observation 8.0 – – Aagaard et al. (1973)Observation 7.0 – – Greisman (1976)Observation 5.6 – – Hanzlick (1983)Observation – 3.0 – Foldvik et al. (1988)Observation 3.0 – – Jonsson (1989)Observation 9.5 13.7 4.2 Fahrbach et al. (2001)

Fig. 2. Vertical transects of the potential temperature (left panels) and meridional current velocities (right panels) across Fram Strait. Themonthly mean values of temperature and currents were calculated based on records from 14 moorings in Fram Strait during the periodSeptember 1997 to August 1998 (data of VEINS Project ‘‘Variability of Exchange in Northern Seas’’). Mooring positions and instrumentdepths are detailed in Fig. 2 of Fahrbach et al. (2001).

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The maximum velocities in the EGC are observed in the upper layer between 2�W and 6�W, and these areless than velocities in the core of the WSC. Arctic Water, with temperature about �1.3 to �1.75 �C, is presentnear the surface layer of the EGC. The temperature increases relatively fast with depth due to recirculation ofAW from the WSC and reaches 1.0–1.3 �C during all seasons at 200–300 m. Below 1000 m, the water temper-ature is negative with a minimum in the bottom layer (�0.90 to �0.95 �C). The current velocities in the north-

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ward-directed WSC reach 40–50 cm s�1 during January–March. From May to July, the currents are signifi-cantly weaker, while in August–September, the current velocities have a second maximum (about 20 cm s�1),again in northward direction. The annual cycle of both currents and water temperature in the WSC is morepronounced in the upper layer than in the core itself (Fig. 3a). The northward current velocity decreasesslightly with depth, and can attain the opposite direction at depths >1500 m (Fig. 2). There is also a sharpdecrease of the northward velocity component of the WSC from east to west. The boundary between thenorthward and southward flow generally occurs at 4–6�E in the upper layer, while in the deeper layers, theposition of the boundary between the flows varies between months, from 5�E to 2–3�W. In the upper layer,the monthly mean water temperature in the eastern part of Fram Strait reaches a maximum of 4.5–5.5 �Cin August–October and a minimum at the beginning of winter. The oceanographic structure of the currentsin the deeper layer is generally similar to that in the upper layer, but the maximum temperatures are shiftedto winter (Fig. 3b). Between the two major currents on each side of Fram Strait the circulation is characterisedby a mesoscale eddy field. Instabilities in the WSC likely contribute to this eddy field (Johannessen et al.,1987), but to what extent is not known. Gascard et al. (1988) suggest that eddies are advected from the eastwith the recirculation in the strait and that the EGC is dynamically stable and unable to generate eddies,despite the outer fringe of the EGC being dominated by shifts in the position of the East Greenland Front(Holfort and Hansen, 2005). Thus, the baroclinic instability in the polar front, which marks the eastern edgeof the EGC, is not a major contributor to the mesoscale eddy field (Foldvik et al., 1988).

In the eastern part of Fram Strait, near Spitsbergen, the WSC follows the shelf slope (Hanzlick, 1983; Jons-son et al., 1992; Woodgate et al., 1998; Saloranta and Haugan, 2001) due to conservation of potential vortic-ity. However, because there is no density front (only a temperature and salinity front) between the warm andsaline AW in the WSC and the cold and fresher Arctic-type Water on the West-Spitsbergen shelf, barotropicinstabilities in the geostrophically constrained WSC along the slope cause significant onshore exchange (Salo-ranta and Svendsen, 2001). This is not in agreement with Hanzlick (1983) who found that baroclinic instabilityprovides a possible cause of the flow variability. The exchanged water is manifested as numerous remnants ofmixed AW and ArW on the shelf and in the fjords on West-Spitsbergen (Saloranta and Svendsen, 2001;Svendsen et al., 2002; Cottier et al., 2005). Related to these remnants, is heat transport from the WSC. Thecombined effects of topographically trapped vorticity waves along the West Spitsbergen shelf slope and iso-pycnal eddy diffusion are the main mechanisms causing the heat loss from the core of the WSC, both on-shelfand off-shelf (F. Nilsen, unpubl.). This heat flux is in the order of 1000 W m�2 throughout the year, except forthe summer months June–July. This is in good agreement with earlier diagnostic estimates by Saloranta andHaugan (2001), who found that the warm core of the WSC loses approximately 1000 W m�2 during winterand 300 W m�2 during summer.

Already at the turn of the last century it was established that a warm subsurface layer of AW was present inthe Arctic Ocean (Nansen, 1902). However, even today there is uncertainty about the transport tracks of AWinto the Arctic Ocean. Lagrangian float trajectories indicate that the eddy-dominated western part of the WSCrecirculates, joining the EGC (Bourke et al., 1988; Gascard et al., 1995; Saloranta and Haugan, 2001). Thus,the major fraction of AW in the Arctic Ocean is likely supplied by the slope-confined eastern part of the WSC(Aagaard et al., 1987; Bourke et al., 1988). The AW is cooled and freshened on its transfer through the ArcticOcean and is named Modified Atlantic Water (MAW) when returning toward Fram Strait from both the Eur-asian Basin (relatively warm water) and the Canadian Basin (cold water that has been cooled on the long patharound the Canadian Basin).

The annual variability of the northward volume transport through Fram Strait corresponds to the seasonalchanges of sea level in the eastern part of the strait (Fig. 4). The volume transport has two maxima, in Feb-ruary and August, and two minima, in January and June. The similar variability of the sea level from recordsat the Barentsburg station on West-Spitsbergen (Fig. 4) confirms the conclusions of Morison (1991) and Fahr-bach et al. (2001) about a strong barotropic transport contribution from the WSC.

The possible role of the wind field in driving the mesoscale eddy velocity field, as suggested by Manley et al.(1987), was investigated by Jonsson et al. (1992). They analysed current time series observed during the last 50years and argued that, in at least the central and eastern Fram Strait, most of the observed eddy kinetic energyis generated by wind fluctuations. The mesoscale eddy scales were assumed to be the internal Rossby radiusand estimated using hydrographic data to be about �20 km, which is in agreement with the estimates by

b

Fig. 3. Seasonal variability of the potential temperature (�C) and currents (cm s�1) in (a) the upper layer (41–101 m depth), and (b) thecore layer of the West Spitsbergen Current. Graphs are based on temperature and current records from VEINS 14 moorings duringSeptember 1997 and August 1998. The upper layer is based on mooring data from 41 to 101 m depth, whereas the deeper layer range is217–288 m. Red dots on x-axes of a, b are the longitude positions of mooring stations, which are also shown on the map (upper panel).Mooring positions and depths are further detailed in Fahrbach et al. (2001).

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Hanzlick (1983). The wind driven circulation on the shelf area off West-Spitsbergen (Fig. 5) indicates littlewind effect along the shelf slope, where topographic steering dominates, but strong wind effect over the shelf,especially around the tip of West-Spitsbergen, in trenches and over banks. Simulations with both tide and

Fig. 4. Seasonal variability (September 1997–August 1998) of the northward monthly mean volume transport (solid line) and sea level atBarentsburg, Svalbard (dashed line). Volume transport was calculated based on VEINS data for the period September 1997–August 1998.Monthly mean sea level data in Barentsburg for the same period was obtained from Permanent Service for Mean Sea Level (PSML: http://www.pol.ac.uk/psmsl/).

Fig. 5. Simulated surface circulation pattern (without tides) for the eastern Fram Strait, including the shelf and coast of West-Spitsbergen,based on two different wind patterns: northerly 15 m s�1 winds (left), and southerly 15 m s�1 winds (right). The SINMOD model is used inthe simulations (Slagstad, 1987). The numbers on the axes indicate gridpoints, with spacing of 4 km.

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wind show that the effect of wind dominates completely over the shelf area during windy periods (Ø. Knutsen,H. Svendsen and F. Nilsen, unpubl.).

The direct contribution by tides to volume/heat/salt flux through Fram Strait is assumed to be negligible,since their average net energy flux over a tidal period is close to zero (Kasajima and Svendsen, 2002). How-ever, the dynamic response when tides interact with variable topography may influence phenomena on largerscales in the area, and may for instance generate shelf-edge upwelling on the East Greenland shelf (Kasajimaand Svendsen, 2002).

Fig. 6. Potential temperature in the West Spitsbergen Current, as mean annually values for 1960–2000, in the neighbourhood of 80�N, 9�E(modified from Pavlov and O’Dwyer, 2000).

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Changes in the water mass properties can also be obtained from historical hydrographic data, at least in theWSC. Pavlov and O’Dwyer (2000) and Falk-Petersen et al. (2006) discussed the inter-annual changes of tem-perature and salinity in the core of the WSC during the last four decades. The maximum water temperature insummer (>5 �C) was observed at a depth of 75 m in the 1960s, and decreased in the 1970s and 1980s (Fig. 6). Asharp increase of water temperature in the surface layer of Fram Strait started at the beginning of the 1990s,and the temperature reached 5.5–6.0 �C by the end of the decade.

The variability of the maximum water temperature in Fram Strait depends on the intensity of the WSC,which is mainly determined by barotropic factors (Fahrbach et al., 2001) connected to reorganisation ofthe atmospheric circulation. Dickson et al. (2000) reported that the inflow of the AW increases during the peri-

Fig. 7. Maximum temperature (red line) in Fram Strait, 1960–2000, and the NAO winter index (blue line) (Hurrell, 1995).

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ods of strong, positive NAO; this is also confirmed by Schlichtholz and Goszczko (2006). Minimum or max-imum values of the NAO winter index (Hurrell, 1995) generally correspond to respective minimum or max-imum values of temperature in Fram Strait (Fig. 7). In 1990, when the NAO index reached its highestvalue, the temperature continued to rise towards its maximum values (in 1998). Apart from meteorologicalreasons, a northward shift of the recirculation in the Greenland Sea (Fahrbach et al., 2001) can be one reasonfor this sharp increase of water temperatures in Fram Strait at the end of the 1990s.

3. Oceanographic conditions in Kongsfjorden

Kongsfjorden and Krossfjorden in West-Spitsbergen are open fjords, without sills, and therefore largelyinfluenced by the processes on the adjacent shelf. The fjords share a common mouth to the adjacent shelf,where the water mass is a mixture of onshore transported warm and saline AW, the colder and fresher Arc-tic-type water on the shelf and freshwater (glacier melt, calving, precipitation). In Svendsen et al. (2002) themixing product is named Transformed Atlantic Water (TAW), whereas the four other water masses repre-sented in Kongsfjorden are Surface Water (SW), Intermediate Water (IW), Local Water (LW) and WinterCooled Water (WCW) (Table 2, Fig. 8). The strength of the mechanisms behind the three main sources shiftsseasonally, and accordingly also there are changes in the characteristics of shelf and fjord water. Changes arebetween a state of Atlantic dominance (warm and saline) and one of Arctic dominance (cold and fresh). Inyears with weak influence of Atlantic origin water (Fig. 8a) the zooplankton community is represented with

Table 2Characteristics of water masses identified in Kongsfjorden (Svendsen et al., 2002)

Water mass Acronym Salinity (psu) Temperature (�C)

Surface Water SW 28.0–34.4 VariableIntermediate Water IW 33.0–34.7 VariableTransformed Atlantic Water TAW >34.7 >1.0Local Water LW >34.4 <1.0Winter Cooled Water WCW >34.4 <�0.5

Fig. 8. Distribution of water masses in Kongsfjorden, in years with (a) weak influence (data from July 22, 2000), and (b) strong influence(data from July 29 to 30, 2003) of Atlantic origin water. (Data courtesy of Institute of Oceanology, Marine Hydrodynamics Department.)

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more abundant Arctic species, whereas in years of strong Atlantic influence (Fig. 8b) the community shiftstoward boreal species (Kwasniewski et al., 2003). In the Arctic dominance period (autumn and winter), SWthat represents a mixture of glacial melt water and fjord water formed during late spring and summer, mixeswith Atlantic water types below producing IW. In autumn and winter, two other water masses are formed inthe fjord; LW <1 �C, produced by surface cooling and WCW, with temperatures close to freezing point, devel-oped by cooling and sea ice formation (Svendsen et al., 2002; Cottier et al., 2005). Both, the LW and WCWcan persist in the deep basins and depressions in the fjord throughout the year.

During the summer, the fjord can undergo an intense and rapid shift from an Arctic-water- to an Atlantic-water-dominated system. As a consequence of a gradual modification of the vertical stratification in the fjordthrough mixing with warmer and fresher SW, the front separating fjord and shelf water weakens (i.e. thestrength of the geostrophic control weakens). This allows TAW to penetrate into the fjord (Cottier et al.,2005). Every summer between 1996 and 2005, TAW was observed in the fjord. In general, TAW is practicallylimited by a sill between the inner and outer basins in the fjord (Svendsen et al., 2002). The water movementsin the fjord are characterised by two flow regimes, which for the greater part of the year is almost de-coupledby a pycnocline; i.e. an upper layer which is mainly driven by local forces (wind and freshwater) and the inter-mediate layer and deep water that are strongly influenced by processes in the adjacent shelf area (Svendsenet al., 2002; Cottier et al., 2005).

Kongsfjorden is a wide fjord (varying between 4 and 10 km). In the period when it is stratified, the fjordwidth exceeds the baroclinic (internal) Rossby radius of deformation, causing the water movements to bestrongly influenced by the Coriolis effect. A down-fjord flow of brackish water which, due to the Corioliseffect, is confined to the northern side of the outer basin, dominates the flow pattern in the upper layer ofthe fjord. It is a geostrophically controlled flow. The flow is intensified during periods with down-fjord winds.Cyclonic eddies with diameters comparable to the width of the fjord may appear in the outer basin. Up-fjordwinds, which are less common, cause up-fjord surface currents and stacking up of water at the head of thefjord that eventually turns the flow down-fjord when the up-fjord wind ceases or the down-fjord pressure gra-dient becomes strong enough to overcome the wind action. The down-fjord advection of brackish water is usu-ally maintained throughout the whole tidal period, although the tide modifies the strength of the flow(Ingvaldsen et al., 2001; Svendsen et al., 2002). The areas near glacier fronts are extremely active with devel-opments of small-scale eddies and vortex filaments within 50–150 m off the glacier face. The direction of thetemperature drop along the glaciers in the inner part of Kongsfjorden is clear evidence of the cyclonic circu-lation which dominates the flow pattern in the inner part of the fjord (Svendsen et al., 2002).

The deeper flow regime in the fjord, below the pycnocline, is dominated by the intrusion of TAW in theAtlantic dominance season. As shown by both cross-fjord ADCP-sections and geostrophic currents computedfrom density fields, the intrusion is marked as a disturbance caused by a Kelvin wave, travelling around thefjord with the coast to the right (Svendsen et al., 2002). Both methods show an up-fjord flow about 4 km wide,comparable to the Rossby radius, along the southern coast, while the opposing down-fjord current occursalong the northern fjord side.

There is little information about the circulation and exchange processes in the winter months. It is expected,however, that since the stratification in the fjord is very weak in this period the circulation is dominated by thelocal forces, among which prevailing down-fjord katabatic winds are dominant.

4. Sea ice conditions and ice flux through Fram Strait

Arctic sea ice plays an important role in the climate system by acting as the boundary between the atmo-sphere and ocean, and it is modified in thickness and concentration by dynamic and thermodynamic processes.The ice concentration parameter gives information about the sea ice extent and sea ice edge. The extent of seaice (i.e. the region with sea ice concentration >15%) is an important indicator in the global climate system.Considerable attention has been given to estimating the Arctic sea ice extent, including its regional, seasonal,decadal and inter-decadal variability detected through analysis of satellite passive microwave data since 1978(e.g. Parkinson et al., 1999; Parkinson and Cavalieri, 2002; Cavalieri et al., 2003; Stroeve et al., 2005). Forinstance, Parkinson and Cavalieri (2002) show, over a 21-year period (1979–1999), that the average annualcycle of north polar ice extents ranges from a minimum of 6.9 · 106 km2 in September to a maximum of

H. Hop et al. / Progress in Oceanography 71 (2006) 182–231 193

15.3 · 106 km2 in March. For this time period, the ice cover as a whole shows a negative trend in the annualaverages of �32,900 ± 6100 km2 yr�1, indicating a 2.7 ± 0.5% reduction in sea ice coverage per decade. Basedon a 30-year record, Cavalieri et al. (2003) reported that the Arctic sea ice extent decreased by0.30 ± 0.03 · 106 km2 per decade from 1972 through 2002, and by 0.36 ± 0.05 · 106 km2 per decade from1979 through 2002, indicating 20% acceleration in the rate of decrease. Satellite passive microwave observa-tions show an overall downward trend in the Arctic sea ice extent and area since 1978. According to recentrecords (Serreze et al., 2003), Arctic sea ice extent and area in September 2002 reached their lowest levelsrecorded since 1978. Ice extent in September 2002 was 4% lower than any other previous September since1978 and 14% lower than the long-term mean (1979–2000). In 2003 and 2004, new extreme September minimawere registered (Stroeve et al., 2005).

Ice thickness in the Arctic Ocean and the surrounding seas is also an important indicator of climate changesin the Arctic. It integrates many thermodynamic parameters in the atmosphere and ocean. The different typesof sea ice can be divided into two basic components, first-year ice (FYI) and multi-year ice (MYI), whichincludes second-year and older ice. First-year ice represents the ice growth of a single winter, and it comprisesup to 40% of the Arctic Ocean’s ice cover (Rothrock and Thomas, 1990; Romanov, 1995). The growth andmelt of FYI in the marginal seas is primarily responsible for the large seasonal variability in total ice extent.Away from coastal regions, about 60% of the ice cover is represented by second-year ice, which has survived asummer melt season, and MYI that has survived at least one melt season. Multi-year ice is typically 3–5 mthick, whereas FYI rarely exceeds 2 m (Barry et al., 1993). Information about the spatial–temporal distribu-tion of ice thickness is limited. While the ice extent and ice motion can be obtained from satellite imagery andbuoy drifts, the ice thickness must be monitored in situ or from numerical models.

The Fram Strait is of great importance to the climatology of the Arctic, because it handles 90% of the heatexchange and 75% of the mass exchange between the Arctic Ocean and the rest of the world oceans (Wad-hams, 1983). Roughly 10% of the total sea ice mass and approximately 20% of the total ice covered area inthe Arctic Basin is exported annually through Fram Strait (Barry et al., 1993; Kwok et al., 2004). Thus, FramStrait is the key area for estimating the net production of ice in the Arctic Ocean because the majority of theice leaving the Arctic Ocean passes through. This net production of ice also represents the major input offreshwater to the Greenland, Norwegian and Icelandic seas (Vinje and Finnekasa, 1986; Barry et al., 1993;Vinje et al., 1998; Kwok et al., 2004). At present there are three main sources of knowledge about sea ice con-ditions in Fram Strait: (1) field programs (drift stations, mooring stations and drifting buoys); (2) nearly 30-years of satellite records from optical, infrared and passive microwave sensors; and (3) modelling. Based onthese studies we can monitor the variability in ice extent, ice area and volume fluxes, and ice thickness, whichare important for our understanding of seasonal and inter-annual changes of sea ice conditions in Fram Strait.

Features of the sea ice cover, ice edge configuration and ice concentration in Fram Strait are determined bythe warm WSC and cold EGC. The intensive heat flux from ocean to atmosphere on the east side of the straitprevents ice formation during winter and promotes the melting of ice, arriving from the Arctic. Therefore, inthe course of year, the ice concentration on the east side of Fram Strait is much lower than on the western side,and in the summer months the east side of the strait is practically ice free (Fig. 9). The most intensive contrac-tion of ice extent begins in June, and by August the ice concentration in Fram Strait reaches its minimum(Fig. 9; Falk-Petersen et al., 2000b). From Svalbard to Greenland, at 80�N, the ice concentration does notexceed 50% in this period. In November, ice formation starts rapidly and the ice edge becomes similar to win-ter configuration, with maximum ice extent in April.

Approximately 80% of the ice area exiting annually through Fram Strait consists of MYI floes, 2–3 m thick(Gow and Tucker, 1987). The probable travel times for ice from different parts of the Arctic exiting FramStrait have been estimated by Pavlov et al. (2004). Probability of sea ice export from the area just north ofFram Strait is the highest (88–90%), with travel time not exceeding one year. Sea ice drifting from shelf areasof the Kara and Laptev seas and from the western part of the East Siberian Sea has rather short travel times(3–6 year on average), whereas sea ice from the Beaufort Sea region will reach Fram Strait in 6–7 years, onaverage. The maximum travel time (10–16 yr) for sea ice to reach the region of Fram Strait, with ratherlow probabilities (38–65%), apply to ice starting from the areas to the north of the Canadian archipelago.

The first successful, year-long ice thickness series was obtained in the East Greenland ice drift at 75�N in1987–1988 using Upward Looking Sonar (ULS) (Vinje, 1989). The first deployment in Fram Strait was made

Fig. 9. Monthly mean ice concentration (April, June, August, November) in Fram Strait, averaged over the period 1978–2000. Colouredscale indicates ice concentrations in 10ths (e.g. 0.9 = 9/10). Sea ice data are derived from Nimbus-7 SMMR and DMSP SSM/I PassiveMicrowave data. (October 1978–December 2000.)

194 H. Hop et al. / Progress in Oceanography 71 (2006) 182–231

in 1988, but it is only since 1990 that annual series have been obtained regularly, using an improved ULS. Themean ice thickness in the central core of the ice stream for the period 1990–1996 (Fig. 10) shows an annualcycle with amplitude of 1 m, a minimum in September (2.25 m) and a maximum in April–May (3.25 m).The mean thickness of ice (open water excluded) is 3.27 m (Vinje et al., 1998).

The ice flux through Fram Strait is important with regard to the balance of ice mass and ocean fresh water,but also because of its associated biomass of organisms. Based on the most recent satellite ice motion observa-tions, the annual cycle and inter-annual variability of the sea ice flux through the strait (�81�N) have beenobtained for the period 1978–2002 (Kwok and Rothrock, 1999; Kwok et al., 2004). Maximum mean monthlyareal flux in the winter time (October–May) was observed in December (107,000 km2) and March(108,000 km2), with minimum in May (61,000 km2) over the 24-year period (Fig. 11). The summer months con-tribute approximately 15% of the ice area to the annual areal export through the strait. The same characteristics

Fig. 10. Monthly mean ice thickness obtained around 79�N in Fram Strait (after Vinje et al., 1998).

Fig. 11. Mean monthly ice area flux through Fram Strait at 81�N over the winter (October–May). Solid line results from Kwok et al.(2004) for 1978–2002; broken line results from Pavlov et al. (2004) for 1966–2000.

H. Hop et al. / Progress in Oceanography 71 (2006) 182–231 195

of month-to-month variability in the winter were simulated by Pavlov et al. (2004) using the Statistical Sea IceModel (ISMO), which established statistical linkages between ice drift and ice concentration, and sea levelatmospheric pressure and sea surface temperature from the NCEP/NCAR data set (Fig. 11).

The mean annual ice area flux through the strait (�81�N) over the period 1978–2002 has been estimated to866,000 km2 yr�1 (Table 3; Kwok et al., 2004). The mean winter (October–May) areal sea ice flux over thisperiod is about 754,000 km2 yr�1. The winter areal flux ranges from a minimum of 607,000 km2 in 1990–1991 to a maximum of 952,000 km2 in 1994/1995 (Fig. 12). According to modelling results of Pavlov et al.(2004), the mean annual ice areal flux through the strait (�81�N) over the 35-year simulated record (1966–2000) is 639,000 km2 yr�1 (Table 3). The mean winter (October–May) areal sea ice flux over this period is569,000 km2 yr�1. The winter area flux ranges from a minimum of 364,000 km2 in 1983/1984 to a maximumof 846,000 km2 in 1994/1995. The correlation (R = 0.71) between the calculated and observed (Kwok andRothrock, 1999) time series of the monthly area flux is significant. Maximum mean monthly areal flux inthe winter time is during December and the minimum in May over the 35-year period. Both observational dataand modelling results show a positive trend in the sea ice areal flux in Fram Strait (Fig. 12).

Based on submarine-borne upward-looking sonar (ULS) observations in Fram Strait in April–May 1979,Wadhams (1983) calculated a volume flux of 6200 km3 per year (0.29 Sv). This value is much higher than more

Table 3Estimates of mean sea ice area and volume fluxes through Fram Strait at 79–81�N for different periods

Method Period (years) Area flux(103 km2 yr�1)

Volume flux(km3 yr�1)

Author(s)

SSMR and SSM/I data 1978–2002(October–May)

866 (754) 2218 Kwok et al. (2004)

ISMO 1966–2000(October–May)

639 (569) Pavlov et al. (2004)

IABP observation 1990–1996 1100 2846 Vinje et al. (1998)SSMR data, buoys, ice

model1979–1985 830 1900 Thomas and Rothrock (1993) and

Thomas et al. (1996)Observation/

oceanographic budget3100 Aagaard and Carmack (1989)

Oceanographic budget 2450 Rudels (1989)

The data are derived from Scanning Multichannel Microwave Radiometer (SSMR), Special Sensor Microwave Imager (SSM/I), StatisticalSea Ice Model (ISMO), and International Arctic Buoy Program (IABP).

Fig. 12. The mean winter (October–May) ice area flux through Fram Strait at 81�N. Solid line is results from Kwok et al. (2004) for 1978–2002; broken line is results from Pavlov et al. (2004) for 1966–2000.

Year

15001750200022502500275030003250350037504000425045004750

Ice

Vo

lum

e F

lux

(km

3 )

90-91 91-92 92-93 93-94 94-95 95-96 96-97 97-98 98-99

Fig. 13. Annual ice volume flux through Fram Strait at 79�N. Solid line represents results of Vinje et al. (1998) for the period 1990–1996;broken line represents results of Kwok et al. (2004) for 1991–1999.

196 H. Hop et al. / Progress in Oceanography 71 (2006) 182–231

recent estimates. One reason for the difference was overestimated ice thickness (4.06 m). Vinje et al. (1998) esti-mated a mean ice volume flux (�79�N) of 2846 km3 yr�1, or�0.09 Sv, for the period August 1990 to July 1996,but there is a strong year-to-year variation up to about 130% (Fig. 13). A relatively high transport of4687 km3 yr�1 was estimated during the period August 1994 to July 1995, while the value for August 1990–July1991 was only 2046 km3 yr�1. These estimates are based on velocities derived from satellite images for 1993–1995, buoy velocities for 1976–1994, and ice maps and ULS ice thickness measurements for 1990–1996. Withthickness estimates from ULS moorings (Vinje et al., 1998), Kwok et al. (2004) calculated the mean annual icevolume flux (�79�N) as 2218 km3 yr�1 or�0.07 Sv. The volume flux ranged from a minimum of 1915 km3 yr�1

(�0.06 Sv) in 1995/1996 to a maximum of 3364 km3 yr�1 (�0.11 Sv) in 1994/1995 (Fig. 13). The winter (DJFM)volume flux accounts for�50% of the annual ice volume (Kwok et al., 2004). Thus, the main change in ice con-ditions in Fram Strait is the increase of ice flux from the Arctic Ocean in the previous two decades due to inten-sification of the EGC. The main contribution to the annual sea ice flux is during the winter months.

5. Ice conditions in Kongsfjorden

Data on sea ice extent in Kongsfjorden indicate that the break-up of the fast ice cover occurs between Apriland July, although there are high inter-annual variations of the position of the ice edge and the timing of melt-ing and break-up (Svendsen et al., 2002). Wind, waves and tides create a highly variable ice situation in the

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middle part of the fjord during spring. Large waves entering the fjord from the west break up the ice cover,and subsequently easterly winds will efficiently remove large amounts of ice in Kongsfjorden. The inner part ofthe fjord usually remains covered by fast ice until at least May. Some years (e.g. 2001), the sea ice formationstarts very late and only the inner part of the fjord becomes covered with ice. In such years, most of Kongs-fjorden may remain open throughout winter and spring. In the unusually warm 2006, there was no ice forma-tion in Kongsfjorden, except for a small area behind the islands in the northern part of the inner bay.

The dominant ice type in Kongsfjorden in winter is young ice, in early spring it is first-year fast ice, andafter the onset of melting it is a combination of fast ice and drift ice (Gerland et al., 1999). In addition, icebergsand ice pieces from surrounding glaciers can be found frozen into the fast ice or drifting in open water. Thelatter is a typical situation once all fast ice disappears in summer. The ice thickness at the end of the freezingseason is generally 60–70 cm, and the snow layer on top of the ice about 20 cm thick at the onset of the melt.The ice consists of a granular ice layer near the surface (ca. 11 cm) and columnar ice below a 2-cm thick tran-sitional zone. The latter exhibits very long, regular crystals, indicating undisturbed ice growth (Gerland et al.,1999). Early in winter, a large portion of the fjord surface is often covered with young ice, which immediatelyaffects the energy exchange between the atmosphere and ocean. It first forms in the inner part of the fjord dur-ing cold and calm weather periods. Specific meteorological conditions combined with tidal currents can lead tolarge amounts of drift ice in the fjord. Floes typically vary in size between 1 and 10 m, and they originate fromeither fast ice in Kongsfjorden or Krossfjorden, or from sea ice transported in from Fram Strait.

6. Phytoplankton and primary production

Phytoplankton studies in Fram Strait have mostly been limited to the Greenland Sea (Smith, 1993; Reyet al., 2000; Richardson et al., 2005), including the NE Greenland polynya (e.g. Spies, 1987). In the centralGreenland Sea, phytoplankton growth may start in early May and reach a peak in early June (Rey et al.,2000). Diatoms dominate the phytoplankton community during the spring bloom as well as in PW duringAugust (Richardson et al., 2005), although flagellates and dinoflagellates are also common, and blooms ofPhaeocystis pouchetii have been recorded near the ice edge in June as well as in open water (Rey et al.,2000; Richardson et al., 2005). The Phaeocystis blooms may also be very intense during spring, April–earlyMay (Smith et al., 1991; Bauerfeind et al., 1994), and some years even the spring bloom may be dominatedby this organism (Smith et al., 1991). Later, during the summer and autumn, the plankton community inthe Greenland Sea may be dominated by Chaetoceros spp. in the surface layer and Nitzschia spp. and Thalass-

iosira spp. deeper (Spies, 1987; Bauerfeind et al., 1994). Nutrient minima are generally correlated with highbiomass concentrations in stratified surface waters, but elevated chlorophyll-a values can be associated withabundant nutrients at frontal boundaries given resupply of nitrogen by mixing processes (Spies et al.,1988). The daily production may be relatively high near the polar front, with values >9 g C m�2 d�1 in June(Legendre et al., 1993). The bacterial biomass develops during the bloom and may reach high cell counts(106 cells cm�3) during the peak of the bloom (Noji et al., 1999). The new production in the central GreenlandSea is in the range of 50–60 g C m�2 from May to August (Noji et al., 1999; Rey et al., 2000). Diatoms con-tribute about 25% to new production during spring and 50% on an annual basis (Bauerfeind et al., 1994). Theannual production has been estimated to be about 80 g C m�2 yr�1 for the open Greenland Sea (Richardsonet al., 2005). Modelling results support these findings, with an average annual primary production of68 g C m�2 yr�1, of which 45 g C m�2 yr�1 is new production (Slagstad et al., 1999). However, in the easternpart of the Greenland Sea, the average annual new production is >50 g C m�2 yr�1 (Slagstad et al., 1999).

The phytoplankton in Kongsfjorden has been subjected to several studies. A total of 148 phytoplankton taxahave been recorded from Kongsfjorden to date; of these 67 belong to the Bacillariophyta and 46 to the Dino-phyta (Hasle and Heimdal, 1998; Keck et al., 1999; Eilertsen et al., 1989; Wiktor, 1999). Most of the species areof Atlantic and cosmopolitan origin, whereas only 31 (21%) are considered to be Arctic or boreal-Arctic species(Hasle and von Quillfeldt, 1996). The community is most diverse during summer, with 40 taxa listed for July inOkolodkov et al. (2000), although at least 130 taxa have been recorded (Hop et al., 2002b). The spring bloomstarts in March–April, peaking in May (Eilertsen et al., 1989; Wiktor, 1999), although blooms may also occurirregularly throughout the summer. The biomass tends to be concentrated in the upper mixed layer and nutri-ents in this layer become reduced to about half of the winter values (Svendsen et al., 2002). Growth conditions

198 H. Hop et al. / Progress in Oceanography 71 (2006) 182–231

deteriorate during summer because of heavy inputs of sediment-loaded glacial water (Svendsen et al., 2002). Inthe inner part of the fjord, the algae become light limited, whereas grazing tends to decrease algal biomass laterin the summer (Eilertsen et al., 1989). The rapidly decreasing day length terminates the growth season; nogrowth occurs once the polar night starts (October 25).

The variability in phytoplankton abundance is reflected in the production rates. The daily production inJuly ranges between 0.024 and 1.4 g C m�2 d�1 (Hop et al., 2002b). The annual production is related to openwater periods in Arctic and sub-Arctic locations (Rysgaard et al., 1999). The annual primary production inKongsfjorden is mostly likely about 35–50 g C m�2 yr�1 (Hop et al., 2002b), which is comparable with pro-duction estimates from the northern Barents Sea (Sakshaug et al., 1994; Hegseth, 1998). However, higher esti-mates, in the range of 120–180 g C m�2 yr�1, have also been made (listed in Hop et al., 2002b) that arecomparable to previous estimates for Spitsbergen fjords (Eilertsen et al., 1989), the Barents Sea (Sakshauget al., 1994) and fjords in northern Norway (Eilertsen and Taasen, 1984). The Greenland Sea production at80 g C m�2 yr�1 is intermediate to these estimates.

7. Zooplankton in the Fram Strait–Kongsfjorden region

7.1. Zooplankton diversity

The summary of zooplankton presented here is biased because of lack of coverage of all faunistic groups inall habitats; the comparisons are made within these limitations. In particular, the summary lacks a detailedaccount of heterotrophic picoplankton (<5 lm) and nanoplankton (5–20 lm) as well as heterotrophic micro-plankton (20–200 lm). Recent studies indicate that organisms constituting the above mentioned size catego-ries play important, presumably often crucial, roles in biological sequestering of carbon in high latitudes(Paranjape, 1987; Hansen et al., 1996; Levinsen and Nielsen, 2002; Wassmann, 2002; Sherr et al., 2003; Verityet al., 2002; Pedersen et al., 2005; Møller et al., 2006), similar to the roles they play in other parts of the oceans(e.g. Pomeroy, 1974; Azam et al., 1983; Longhurst and Harrison, 1989; Lenz, 1992; Verity and Smetacek,1996). The growing amount of data leaves no doubt that also in high latitudes the classical food web (withCalanus as the pivotal grazer) functions only in unison with the microbial food web, in which pico-, nano-and microplankton play key roles. The data suggest, unequivocally, that organisms constituting the classicalfood web are able to channel a considerable fraction of primary production during a short time if meso- andmacrozooplankton grazers match their development to the early part of the Arctic phytoplankton bloom,characterised by diatoms. On an annual basis, though, it is believed that organisms in the classical foodweb are not able to utilise more than 30% of the total primary production. The remaining 70% of high latitudepelagic primary production is recycled and/or made available for a carbon pathway involving small phyto-plankton and small grazers, i.e. pico-, nano- and microzooplankton. Adopting these findings must result inre-evaluation of the paradigms of the functioning of pelagic ecosystems and carbon-cycle. However, a morecomplete understanding of the biological dynamics of both food webs and, thus, a more holistic approachto studies of ecosystem function are still ahead.

Faunistic information concerning the key consumers in the pelagic food webs, normally does not includeidentification of the smallest sized zooplankton below the taxonomical/size categories of picoflagellates, nano-flagellates, choanoflagellates and ciliates. Representatives of microprotozooplankton are sometimes identifiedto species/genus level. They encompass dinoflagellates, such as various species of Amphidinium, Gyrodinium, orProtoperidinium, tintinnid ciliates e.g. Parafavella denticulata, Ptychocylis obtusa, Leprotintinnus pellucidus,Acanthostomella norvegica as well as other ciliates e.g. Balanion, Didinium, Laboea strobila, Lohmaniella, Scu-ticutiliates, Strombidium and Strobilidium (Paranjape, 1987; Boltovskoy et al., 1991; Hansen et al., 1996; Sherret al., 1997; Levinsen et al., 1999; Rysgaard et al., 1999; Sherr et al., 2003; Møller et al., 2006). Other unicel-lular microzooplankton include foraminiferans and radiolarians, taxa that are often omitted or treated withless systematic accuracy in studies of pelagic ecosystems due to sampling biases and identification problems.They are persistent in sediments and important in paleo-oceanographic studies (Be, 1967; Kellog, 1976; Ratk-ova and Wassmann, 2002; Cortese et al., 2003; Risebrobakken et al., 2003; www.radiolaria.org). Among themost typical foraminiferan species in high-latitude waters there are: Neogloboquadrina pachyderma, Globige-

rina bulloides, Globigerina quinqueloba, Globigerinita glutinata and Globorotalia inflata. Examples of radiolar-

H. Hop et al. / Progress in Oceanography 71 (2006) 182–231 199

ians common in northern pelagic ecosystems include: Actinomma boreale, Actinomma leptoderma, Spongotro-

chus glacialis, Amphimelissa setosa, Lithomelissa setosa and Plectacantha oikiskos. Analogous underestimatesexist regarding faunistic diversity and role in the pelagic ecosystem of high latitudes of multi-cellular micro-zooplankton. The most common taxa in this category include, first of all, minute copepods and their devel-opmental stages, exemplified by O. similis, several species of Oncaea (O. englishi, O. parila = O. notopus),Triconia borealis or Microsetella norvegica, as well as Rotifera (Synchaeta, Keratella) and some planktonic lar-vae of benthic organisms (Heron et al., 1984; Hansen et al., 1994; Gallienne and Robins, 2001; Arashkevichet al., 2002). This size category may also include juvenile stages of mesozooplankton taxa. Comparisons ofabundance of small taxa obtained from different sampling tools (nets vs. pumps or water bottles) show thata typical zooplankton net of 0.180 mm mesh size samples only 10% of the small copepods (exemplified by�0.800 mm length and �0.270 mm width of Oithona). As a result it is suggested that biomass of the small sizedmetazoan zooplankton may be underestimated by one-third and production by two-thirds.

The current presentation mainly summarises the classical food webs characteristic for Fram Strait andKongsfjorden. The review of published information (e.g. Smith et al., 1985; Smith, 1988; Diel, 1991; Long-hurst, 1998; Werner et al., 1999; Walkusz et al., 2003; Broms et al., 2004), supplemented with our own obser-vations, yields a total of 83 taxa (including 69 species and genera) of both holo- and mero-zooplanktonrecorded in the pelagic zone of the Fram Strait area (Table 4). The review for Kongsfjorden yields a totalof 84 taxa or 64 species (Weslawski et al., 1991; Hop et al., 2002b; Kwasniewski et al., 2003; Schulz and Kwas-niewski, 2004; Walkusz et al., 2004). In Fram Strait, approximately 33% of the 253 taxa (species, genera andhigher) known from the pelagic zone of the Nordic Seas and the Arctic Mediterranean have been encountered(Wiborg, 1954; Wiborg, 1955; Østvedt, 1955; Grainger, 1965; Brodskii et al., 1983; Groendahl and Hernroth,1986; Grainger, 1989; Mumm, 1993; Richter, 1994; Mumm et al., 1998; Auel and Hagen, 2002). The list oftaxa known from Kongsfjorden includes nearly 75% of the 110 taxa ever recorded on various locations withinthe Svalbard archipelago (Stott, 1936; Digby, 1961; Koszteyn and Kwasniewski, 1989; Kwasniewski, 1990;Weslawski et al., 1990; Karnovsky et al., 2003; Prestrud et al., 2004).

Typically for polar latitudes, zooplankton in Fram Strait and Kongsfjorden is predominated by calanoidcopepods (24 vs. 25 species, respectively). Other crustaceans relatively rich in species are Amphipoda (10vs. 6) and Euphausiacea (3 vs. 4). Of the 103 taxa recorded in both regions there are 64 that are in commonand 19 and 20 found exclusively in Fram Strait or Kongsfjorden, respectively. The key zooplankton compo-nents of both areas are, first of all, Copepoda such as three Calanus species (C. finmarchicus, C. glacialis, andC. hyperboreus), Metridia longa, Pseudocalanus (P. minutus and P. acuspes), Microcalanus (M. pusillus and M.

pygmaeus) and Oithona similis. Of other taxa, the most important species appear to be the amphipods Them-

isto libellula and T. abyssorum, the euphausiids Thysanoessa inermis and T. longicaudata, the pteropods Lima-

cina helicina and Clione limacina, the ctenophores Mertensia ovum and Beroe cucumis, and the chaetognaths S.

elegans and Eukrohnia hamata. The Fram Strait zooplankton fauna differs by the presence of meso- andbathypelagic copepods such as Augaptilus glacialis, Heterorhabdus compactus, Scaphocalanus brevicornis, orostracods Boroecia borealis and B. maxima. The Kongsfjorden zooplankton fauna includes, for example,hyperbenthic copepods Bradyidius similis, Mesaiokeras spitsbergensis, Xantharus siedleckii, Neoscolecithrix

farrani and the neritic euphausiid Thysanoessa raschii. Intense research in the past few years in Kongsfjordenhas shown that even in such a relatively well studied place there are still undiscovered species in the pelagic(Schulz and Kwasniewski, 2004) as well as in the benthic realms (Kuklinski and Hayward, 2004), and newspecies may invade due to climate warming.

7.2. Zooplankton abundance

The majority of information on zooplankton abundance and biomass in Fram Strait regards the large her-bivorous calanoid copepods C. finmarchicus, C. hyperboreus and C. glacialis, and considers usually the epipe-lagic (<200 m) layer during the summer season (June–August). Data covering the entire extent of the oceanicpelagic environment and other seasons are scarce. Available references indicate that the maximum abundanceof C. finmarchicus is 50 ind. m�3 (van Aken et al., 1991) to 180 ind. m�3 (Smith et al., 1985), although it maybe as high as 210 ind. m�3 (Smith, 1988) (stages combined, values approximate, recalculated based on the fig-ures in the referred papers). Abundance of C. hyperboreus is 10 ind. m�3 (van Aken et al., 1991) to 22 ind. m�3

Table 4List of zooplankton encountered in Fram Strait and Kongsfjorden

Species/genus or taxon Fram Strait Kongsfjorden Reference

Augaptilus glacialis + 1Heterorhabdus compactus + 1Heterorhabdus norvegicus + + 10; 3Metridia longa + + 8; 13Metridia lucens + + 4; 3Pleuromamma robusta + 4Acartia longiremis + + 10; 13Limnocalanus macrurus Own obs.Temora longicornis Own obs.Calanus finmarchicus + + 9; 13Calanus glacialis + + 9; 3Calanus hyperboreus + + 9; 13Rhincalanus nasutus + + 10; 11Aetideus armatus + 3Bradyidius similis + 3Chiridius obtusifrons + + 10; 11Gaetanus (=Gaidius) brevispinus Own obs. + 11Gaetanus (=Gaidius) tenuispinus + + 10; 3Microcalanus pygmaeus + + 14; 13Microcalanus pusillus + + 14; 3Pseudocalanus acuspes + + 1; 13Pseudocalanus minutus + + i;3Paraeuchaeta glacialis + + 5; 11Paraeuchaeta norvegica + + 5; 13Mesaiokeras spitsbergensis + 7Scaphocalanus brevicornis + 1Scaphocalanus magnus (=Amallophora magna) + + 10; 11Scolecithricella minor + + 10; 13Xantharus siedleckii + 7Neoscolecihrix farrani (=Oothrix borealis=O. bidentata) + 13Oithona atlantica (=O. spinirostris=O. plumifera) + + 14; 13Oithona similis (=O. helgolandica) + + 14; 13Triconia (=Oncaea) borealis + + 14; 13Oncaea spp. + 8Cyclopoida indet. + 3Microsetella norvegica (=M. atlantica) + + 14; 11Harpacticoida indet. + + 10; 3Mormonilla polaris + 1Monstrilloida indet. + 3Evadne nordmanni Own obs. Own obs.Podon leuckarti Own obs. Own obs.Boroecia (=Conchoecia) borealis + 5Boroecia (=Conchoecia) maxima + 1Discoconchoecia (=Conchoecia) elegans + Own obs. 5Ostracoda indet. + + 10; 13Cirripedia Balanida nauplii and cypris + + 5; 13Boreomysis arctica Own obs. + 3Mysis oculata + + 10; 13Pseudomma truncatum + Own obs. 10; 6Mysidacea indet. + 2Hyperia galba + + i;3Hyperoche medusarum + 3Themisto (=Parathemisto) libellula + + 5; 13Themisto (=Parathemisto) abyssorum + + 5; 3Scina borealis + 1Apherusa glacialis + + 10; 3Cyphocaris bouvieri + 1Eusirus holmi + 1

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Table 4 (continued)

Species/genus or taxon Fram Strait Kongsfjorden Reference

Gammarus wilkitzkii + + 12; 3Onisimus (=Pseudalibrotus) glacialis + 10Onisimus (=Pseudalibrotus) nanseni + 10Gammaridea indet. + 11Isopoda Bopyridae indet. + + 10; 11Tanaidacea indet. + 11Leucon sp. + Own obs. 1Cumacea indet. + 11Meganyctiphanes norvegica Own obs. + 3Thysanoessa inermis + + 5; 3Thysanoessa longicaudata + + 5; 3Thysanoessa raschii + 3Hymenodora glacialis + 1Pandalus borealis larvae + Own obs. 10Sabinea septemcarinata zoea + 3Decapoda larvae Own obs. + 13Aglantha digitale + + 5; 3Botrynema ellinorae + 1Catablema vesicarium + 11Halitholus cirratus + 11Homoeonema platygonon + 1Sarsia princeps + 3Sarsia tubulosa + 2Sarsia sp. + 10Hydrozoa medusae indet. + + 10; 13Dimophyes arctica (=Diphyes arctica) + + 5; 3Siphonophora indet. + 1Beroe cucumis + + 5; 3Mertensia ovum + + 5; 3Nematoda indet. + 11Clione limacina + + 5; 13Limacina (=Spiratella) helicina + + 5; 3Limacina retroversa + + 10; 11Bivalvia larvae + + 10; 13Gastropoda larvae (not Clione or Limacina) Own obs. Own obs.Polychaeta larvae indet. + + 10; 13Polychaeta indet. + Own obs. 5Echinodermata larvae + + 10; 11Bryozoa cyphonautes larvae + + 1; 11Eukrohnia hamata + + 5; 13Sagitta elegans + + 5; 13Fritillaria borealis (F. b. acuta) + + 5; 13Oikopleura vanhoeffeni + + 5; 11Oikopleura spp. + + 10; 13Fish larvae Own obs. + 13

References selected as the primary source of faunistic information for studies in Fram Strait and Kongsfjorden: 1. Broms et al. (2004); 2.Digby (1961); 3. Hop et al. (2002b); 4. Longhurst (1998); 5. Mumm (1993); 6. Prestrud et al. (2004); 7. Schulz and Kwasniewski (2004); 8.Smith (1988); 9. Smith et al. (1985); 10. Walkusz et al. (2003); 11. Walkusz et al. (2004); 12. Werner et al. (1999); 13. Weslawski et al.(1991); 14. Wiborg (1955).

H. Hop et al. / Progress in Oceanography 71 (2006) 182–231 201

(Smith, 1988). Abundance of C. glacialis, usually considered the least abundant Calanus sp. in the oceanicenvironment of Fram Strait, is 10 ind. m�3 (Smith, 1988) to 40 ind. m�3 (Smith et al., 1985). However, lowerabundance values of Calanus species in the area of Fram Strait are reported by Mumm et al. (1998), as 85, 4and 9 ind. m�3, for C. finmarchicus, C. hyperboreus and C. glacialis, respectively. All studies indicate closeassociation of individual species with their original water masses. The boreal C. finmarchicus is associated withAW of the WSC. The two other species are associated with cold Arctic water masses, i.e. PW of the Arctic

202 H. Hop et al. / Progress in Oceanography 71 (2006) 182–231

Ocean and ArW of the Greenland Sea, although C. glacialis is regarded a shelf species, whereas C. hyperboreus

is an oceanic one inhabiting primarily deep water sea basins (Smith et al., 1985; Hirche et al., 1991; Falk-Pet-ersen et al., 2006). Thus, sea depth is another factor that strongly influences Calanus species distribution andabundance.

There are a few other zooplankton species for which different accounts of abundance from Fram Strait areaare available. Metridia longa, another large, cold-water, omnivorous copepod, attains abundance of 11–19 ind. m�3 (Smith, 1988; van Aken et al., 1991; Mumm et al., 1998). Small copepods are generally more abun-dant, such as Pseudocalanus with 20–27 ind. m�3 (Smith et al., 1985; Smith, 1988) and Triconia (=Oncaea)borealis with 23 ind. m�3 (Smith, 1988). The most numerous zooplankton component in this area is the ubiq-uitous Oithona similis, although published information on the abundance and biomass of this species from theFram Strait area is vague. According to Auel and Hagen (2002), O. similis was the predominant zooplanktoncomponent in the Arctic Ocean, with up to 254 ind. m�3 in the upper 50 m, whereas Walkusz et al. (2003)observed this species north of Fram Strait in densities up to 695 ind. m�3 in the upper 300 m.

In Kongsfjorden during summer (July), where the zooplankton was sampled at five reference stations(Fig. 1) with a Multiple Plankton Sampler (MPS, 0.180 mm mesh) during 1996–2002, the mean water columnabundance of C. finmarchicus varied from 50 to 600 ind. m�3 (Hop et al., 2002b; S. Kwasniewski, unpubl.data). The abundance of C. glacialis with 20–330 ind. m�3 was also higher than in Fram Strait. At the sametime, the abundances of C. hyperboreus and M. longa varied over a much wider range, 2–110 ind. m�3 and 1–100 ind. m�3, respectively. Similar accounts of smaller copepods suggest that the predominant zooplanktonspecies also attained higher abundances in Kongsfjorden than in the open sea area of Fram Strait. The abun-dance ranges of Pseudocalanus, O. similis and Triconia borealis in Kongsfjorden were 35–1370 ind. m�3, 75–3930 ind. m�3, and 3–180 ind. m�3, respectively.

The distribution along environmental gradients and less ordered natural variability (patchiness) are alsoimportant in glacial fjords such as Kongsfjorden. Some patterns in distribution have been revealed, such asevident limitation of occurrence of Metridia longa to deeper parts of the fjord (Hop et al., 2002b), while Cir-ripedia nauplii seem to have a very patchy occurrence during spring with up to 3900 ind. m�3 observed in onepatch and <400 ind. m�3 in the surrounding waters, at one of the outer stations in Kongsfjorden (S. Kwas-niewski, unpubl. data).

7.3. Zooplankton biomass

Hitherto, studies have revealed that zooplankton biomass (dry mass) in Fram Strait may vary from 0.02 to13 g DM m�2 (Smith et al., 1985; Smith, 1988; Diel, 1991; Hirche, 1991; Hirche et al., 1991; Hirche and Kwas-niewski, 1997; Mumm et al., 1998; data recalculated to allow direct comparison). This estimate, however,includes various sources of biomass variability, both natural and methodological. Zooplankton biomass inFram Strait varies with time or season, up to 10-fold (0.2–2.5 g DM m�2) for early spring and summer onthe northeast Greenland shelf (Hirche and Kwasniewski, 1997), or with depth; 2.1 ± 1.4 and8.4 ± 2.2 g DM m�2 (means ± SD) for the upper 100 m and 500 m water layers, respectively (Mumm et al.,1998). It also varies in relation to distribution of sea ice and water masses. In the areas predominated byAW, that is in the WSC around the MIZ, the biomass of the dominant C. finmarchicus ranges from5.2 g DM m�2 (Smith, 1988) to 5.7 g DM m�2 (Hirche et al., 1991). In the areas predominated by PW fromthe Arctic Ocean or by ArW in the Greenland Sea, cold-water species form the main zooplankton biomass,with C. hyperboreus ranging up to 5.5 g DM m�2 (Hirche et al., 1991) or 7.4 g DM m�2 (Smith, 1988). Asthe Fram Strait proper is not the typical habitat for C. glacialis, the maximum biomass of the species foundthere is only 1.1 g DM m�2 (Diel, 1991) to 2.8 g DM m�2 (Smith et al., 1985).

The habitat preferences of typical zooplankton components, coupled with complex hydrological regimes,result in different biomass distribution patterns across frontal zones in Fram Strait (Smith et al., 1985; Smith,1988; Hirche et al., 1991). Additional natural causes of variability that may influence zooplankton biomassestimates relate to the physiological condition of zooplankton organisms (Smith, 1988; Diel, 1991) and to pop-ulation age-structure of the species studied. Most of the zooplankton biomass data for Fram Strait regardsonly Calanus or Metridia longa, i.e. the mesozooplankton herbivore/omnivore component. Virtually nothingis known on biomass of small zooplankton in Fram Strait and the main source of crude data on biomass of

H. Hop et al. / Progress in Oceanography 71 (2006) 182–231 203

macrozooplankton or carnivorous taxa is Hirche et al. (1994). According to their measurements, macrozoo-plankton biomass in Fram Strait was 1.5 g DM m�2 in ice free waters and 0.6–1.0 g DM m�2 in the NortheastWater Polynya. Furthermore, they reckoned that macrozooplankton biomass was about one tenth that ofmesozooplankton.

The biomass of zooplankton in Kongsfjorden has been estimated from two summer seasons (1996, 1997) as8.8 ± 5.1 g DM m�2 (Hop et al., 2002b). Comparison between fjord’s basins revealed that the biomass washigher in the outer (11.5 ± 4.3 g DM m�2) than in the inner (4.3 ± 2.2 g DM m�2) fjord. The most likely causeof this difference is freshwater runoff with heavy sediment loads from tidal glaciers in the inner basin, but otherfactors, such as water depth and the presence of a sill near the inner bay limiting water exchange and advectionof zooplankton, also affect the community composition and biomass (Basedow et al., 2004).

7.4. Calanus life history

Of particular importance for understanding the role of zooplankton in functioning of the ecosystem inFram Strait and Kongsfjorden is the knowledge of biological dynamics of the zooplankton community.The basic issues in this respect concern zooplankton vertical distribution and seasonal dynamics, both ofwhich are related to the life histories of zooplankton organisms (Falk-Petersen et al., 2006). There are noresults from exactly the Fram Strait area, but in the neighbouring waters of the Greenland Sea or the ArcticOcean the bulk mesozooplankton components, Calanus species, are distributed unevenly with depth and thedistribution pattern is changing seasonally as a result of pronounced seasonal migrations (Richter, 1994, 1995;Auel and Hagen, 2002). Typically, populations of a Calanus species overwinter at great depths, reproduce inthe spring time close to the surface and the offspring stays in the productive zone (epipelagial) until gainingsufficient energy resources for continuing or completing the life cycle. Each of the three Calanus species hasits individual life cycle strategy (Conover, 1988; Smith, 1990; Diel, 1991; Hirche, 1991, 1997; Hirche andKwasniewski, 1997) allowing for maximum utilisation of available resources, and the resulting differencesin spatial and temporal distribution of the developmental stages may be one of the important constituentsof the functional biological diversity of the ecosystem.

In fjords of northern Norway and northwards, the boreal C. finmarchicus has a 1-year life cycle (Tande,1982; Tande et al., 1985), and this has also been suggested for this species in Kongsfjorden (Scott et al.,2000). The spawning time of the species coincides with the period of maximum phytoplankton spring bloom(Tande, 1982; Tande et al., 1985). The Arctic shelf species C. glacialis has a 2-year life cycle within its originalrange (Tande et al., 1985; Eilertsen et al., 1989), with spawning taking place before or during the algal bloom(Smith, 1990; Hirche and Kwasniewski, 1997; Falk-Petersen et al., 1999; Kosobokova, 1999). It dominatesamong Calanus in waters north of the Polar Front around Svalbard, and also on the northeast Greenland shelf(Unstad and Tande, 1991; Hirche and Kwasniewski, 1997). The deep water Arctic species C. hyperboreus has a3–5-year life cycle depending on the food availability (Scott et al., 2000; Falk-Petersen et al., 2006). It overwin-ters mainly as CIII to CV (Hirche, 1997; Scott et al., 2000) and spawns at in deep water, in October–March,prior to the spring bloom (Hirche and Niehoff, 1996). Its main centre of distribution is the deep GreenlandSea (Hirche, 1997), and it is considered an expatriate to the Kongsfjorden (Kwasniewski et al., 2003).

7.5. Other zooplankton groups

A few studies have described other zooplankton groups (Smith, 1988; Hirche et al., 1994; Mumm et al.,1998; Walkusz et al., 2003) and provided qualitative information regarding the role of these taxa in the pelagicecosystem (Smith, 1988; Mumm et al., 1998). The most abundant zooplankton taxa in Kongsfjorden havebeen summarised (Hop et al., 2002b; Kwasniewski et al., 2003), and more detailed studies have been con-ducted on some species, such as the pteropods Limacina helicina and Clione limacina (Falk-Petersen et al.,2001; Boer et al., 2005; Gannefors et al., 2005), the ctenophores Mertensia ovum and Beroe cucumis and(Falk-Petersen et al., 2002; Lundberg, 2006), and the hyperiid amphipod Themisto libellula (Dale et al.,2006). Still largely unresolved questions involve biological diversity and dynamics of gelatinous filtrators(Appendicularia) and gelatinous predators (Hydromedusae, Ctenophora), large size filtrators and predatorscapable of swimming and avoiding nets (Euphausiacea, Hyperiidea, Chaetognatha and fish larvae) and mero-

204 H. Hop et al. / Progress in Oceanography 71 (2006) 182–231

plankton components (larval stages of Cirripedia, Polychaeta, Bivalvia or Echinodermata). Parallel to studiesconcerning biological dynamics of key zooplankton components on a yearly/seasonal basis, it will be crucial toestablish a long-term monitoring program that will approach climate change related questions of zooplanktondynamics in a way that considers short-term natural variability (e.g. Willis et al., 2006).

7.6. Zooplankton seasonality and inter-annual variability

The seasonal variations in the zooplankton community as well as of individual species are very pronouncedin fjords in Svalbard. Different patterns of the dynamics are illustrated by comparing average water columnabundance of selected taxa, calculated for five reference stations in Kongsfjorden, for three seasons repre-sented by May, July and September 2002 (W. Walkusz unpubl. data). Pelagic nauplii stages of Cirripediapeaked in spring (380 ind. m�3) but were hardly found in summer or autumn (1 ind. m�3). The abundanceof C. finmarchicus was low in spring (6 ind. m�3), the highest during summer (170 ind. m�3) and reduced inautumn (90 ind. m�3). A third type of seasonal abundance changes was observed, for example, for O. similis,L. helicina or larvae of Bivalvia. Each of these taxa had the lowest abundance in spring and the highest inautumn. The most dynamic abundance changes were probably those recorded for O. similis with 90, 1820and 3190 ind. m�3, respectively for May, June and September. Slightly less dramatic changes were noticedfor L. helicina (<1, 81 and 165 ind. m�3, for the respective months) and larvae of Bivalvia (<1, 60 and165 ind. m�3). Indications of such a strong seasonal dynamics have been observed previously, but only forsummer and autumn seasons (Hop et al., 2002b). Year-round observations of variations in abundance ofPseudocalanus and O. similis in Kongsfjorden (Lischka and Hagen, 2005) corroborate with our results andindicate that the small taxa reach their maxima in autumn (November).

Some aspects of inter-annual variability in zooplankton in the vicinity of Fram Strait can be discussedbased on the results of research conducted in Kongsfjorden. Year-to-year changes in composition of the zoo-plankton community and in the abundance of selected taxa are shown on a fjordwide basis, with data repre-senting mean zooplankton abundance at five reference stations sampled with MPS during July 1996–2002(Hop et al., 2002b; S. Kwasniewski, unpubl. data). The bulk of the zooplankton in Kongsfjorden in summerconsisted of Copepoda, with 92–64%, or 98–70% including nauplii (Table 5). Each year the four dominatingcopepod species, C. finmarchicus, C. glacialis, Pseudocalanus and O. similis, consistently made up 56–86% ofthe zooplankton (or 72–82% of the Copepoda). Other contributing taxa included larvae of Echinodermata,Fritillaria borealis, and larvae of Bivalvia. The inter-annual changes in relative composition of the zooplank-ton community mainly reflected changes in abundance of numerically predominant taxa. The most strikingabundance change was the increase in abundance observed for Oithona similis, but similar increasing trendswere observed for a few other taxa as well (Fig. 14).

Table 5Relative abundance (%) and inter-annual variability of zooplankton taxa in Kongsfjorden in summer (July)

Year/taxon 1996 1997 1999 2000 2001 2002

Calanus finmarchicus 25.5 22.4 13.9 14.5 12.4 4.5Calanus glacialis 24.4 5.6 20.3 14.4 6.0 1.5Pseudocalanus 22.3 13.2 13.2 22.2 11.3 7.6Oithona similis 14.2 28.3 25.7 20.3 48.4 42.4Microcalanus 1.9 4.3 8.0 2.6 1.0 1.3Metridia longa 1.2 6.8 4.5 1.7 0.9 1.1Calanus hyperboreus 0.6 1.5 0.9 0.6 1.5 0.4Oithona atlantica 0.1 0.2 0.6 0.3 0.4 0.9Triconia (=Oncaea borealis) 0.7 2.2 4.9 1.0 4.2 4.0Other Copepoda 1.0 0.6 0.1 0.4 0.2 0.2Copepoda nauplii 6.1 11.5 5.3 10.9 4.0 6.1Bivalvia veliger 0.0 0.0 0.1 1.6 3.6 1.0Limacina helicina 0.1 0.2 0.1 0.7 0.2 2.0Echinodermata larvae 0.6 0.4 0.2 0.6 3.9 24.2Fritillaria borealis 0.0 2.3 0.6 6.9 1.5 2.5Other non-Copepoda 1.3 0.6 1.4 1.2 0.6 0.4

Fig. 14. Abundance (ind. m�3) of mesozooplankton in Kongsfjorden (with Oithona similis specified).

H. Hop et al. / Progress in Oceanography 71 (2006) 182–231 205

Because the abundance of most of the predominant taxa showed an increasing tendency, the abundance ofthe entire zooplankton was increasing, especially in the years 2001–2002 (Fig. 14). Other taxa showing increas-ing abundance during the same period were Pseudocalanus, Triconia borealis and Oithona atlantica (Fig. 15).Higher abundance in the years 2000–2002 was also observed for F. borealis and L. helicina, but their abun-dances were more variable (Fig. 16).

In contrast to the taxa described above, the abundances of C. finmarchicus and C. glacialis did not show anapparent change over the years (Fig. 17). In 1997, as well as in the latest two years, there was a shift in abun-dance pattern with high abundance of C. finmarchicus when C. glacialis had low abundance. The availabledata do not allow for accurate description of the Calanus species abundance oscillation, although as a firstapproximation the time between years of predominance of a given species may be 4–5 years. Thus, duringthe observation time there were two seasons with the advantage of C. finmarchicus in Kongsfjorden (1997and 2001–2002) and one with the advantage of C. glacialis (1999) separated by intermediate phases (1996, pos-sibly also 1998 and 2000).

An oscillating pattern of abundance changes can also be observed for the Arctic T. libellula and the moreboreal T. abyssorum, although only smaller size fractions of the respective populations are included due to thelimitations of the sampling method (vertical hauls with 0.180 mm mesh size MPS) (Fig. 18). With the limita-tions of the data set in mind, it is interesting to notice that in the years of predominance of C. finmarchicus

over C. glacialis, the advantage of T. libellula over T. abyssorum decreased (1997 and 2001) or the latter specieseven dominated (2002).

Fig. 15. Abundance (ind. m�3) of Oithona atlantica, Triconia borealis and Pseudocalanus in Kongsfjorden.

Fig. 17. Abundance (ind. m�3) of Calanus finmarchicus and C. glacialis in Kongsfjorden.

Fig. 16. Abundance (ind. m�3) of Limacina helicina and Fritillaria borealis in Kongsfjorden.

Fig. 18. Abundance (ind. m�3) of Themisto abyssorum and T. libellula in Kongsfjorden.

206 H. Hop et al. / Progress in Oceanography 71 (2006) 182–231

H. Hop et al. / Progress in Oceanography 71 (2006) 182–231 207

The notion of importance of advection for Calanus (and other zooplankton) distribution in Kongsfjordenwas suggested by Hop et al. (2002b) and Kwasniewski et al. (2003), and further evaluated by Basedow et al.(2004) and Willis et al. (2006). Dependence on advection, and as a consequence of plankton distribution, onhydro-climatic forcing, has been advocated for Kongsfjorden by Svendsen et al. (2002) and further shown byCottier et al. (2005). These findings are consistent with results of much earlier research documenting close con-nections and an integrated response of the ecosystem, zooplankton in particular, to ocean-atmosphere inter-actions on long time scales (e.g. Fromentin and Planque, 1966; Planque and Taylor, 1998; Greene andPershing, 2000; Ottersen et al., 2001; Greene et al., 2003; Beaugrand and Reid, 2003; Beaugrand and Ibanez,2004, and citations therein). Our time series of zooplankton data is by far too short and limited to allow for-mulating indisputable predictions regarding the entire community. However, we believe it suggests a plausiblescenario of long-term (inter-decadal) changes in Kongsfjorden zooplankton. We speculate, therefore, that withthe persistence of increasing Atlantic influence, the Kongsfjorden pelagic ecosystem will be subjected to reor-ganisation, including an increasing role of C. finmarchicus and possibly of T. abyssorum and euphausiids. Weexpect also growing importance of small taxa such as Psudocalanus and Oithona similis. These changes,because they involve key elements of the trophic structure, will result in restructuring of the trophic linksand will have far-reaching consequences for the entire Kongsfjorden ecosystem, similar to the ones describedfor the Svalbard marine ecosystem by Weslawski et al. (2000), Karnovsky et al. (2003) or Stempniewicz (2005).

Planktonic larvae of boreal benthic organisms are also likely to show increased abundance as well as set-tlement on the coast of Svalbard. The blue mussel (Mytilus edulis) has recently appeared in Isfjorden on Sval-bard (Berge et al., 2005). This might be another indication of the anticipated climate warming and stepwise,northward advancement of Atlantic fauna, as suggested by Weslawski et al. (1997) after finding live blue mus-sels on Bjørnøya. The recent extension of the blue mussel distribution range was made possible by the unusu-ally high northward mass transport of warm AW resulting in elevated sea-surface temperatures in the NorthAtlantic and along the west coast of Svalbard in 2002. Other boreal species will likely follow, given that thewarming trend persists.

8. Ice biota

8.1. Ice flora and microorganisms associated with ice

Different types of ice algal assemblages are regularly found in the Arctic (Horner et al., 1988; Syvertsen,1991). The most abundant species observed in the ice of the Northeast Water Polynya include Nitzschia frigida,Chaetoceros socialis, Melosira arctica, Pleurosigma stuxbergii and Fragilaria sp. (von Quillfeldt, 1997). Diatomsare normally the main primary producers (60% of algal biomass), but flagellated cells may also contribute sig-nificantly to the algal biomass (Gradinger et al., 1999). Chlorophyll-a concentrations of 0.5–1.5 lg l�1 havebeen measured in new ice (Gradinger and Ikavalko, 1998), and integrated chlorophyll-a concentration in packice from the Greenland Sea ranges from 0.1 to 3.3 mg Chl-a m�2 (Gradinger et al., 1999). Ice algae may con-tribute 40% of the biomass, followed by bacteria (30%), heterotrophic flagellates (20%) and meiofauna (4%)(Gradinger et al., 1999). Among the meiofauna, ciliates, nematodes, acoel turbellarians and crustaceans aredominant (Gradinger and Ikavalko, 1998; Gradinger et al., 1999). Calculated potential ingestion rates of mei-ofauna (5.5 g C m�2 d�1, during 120 days) are on the same order of magnitude (660 mg C m�2 during the pro-ductive season) as annual primary production estimates suggested for Arctic MYI (600 mg C m�2; Legendreet al., 1992).

8.2. Ice fauna

The ice fauna, or sympagic biota, represents organisms that live in close association with sea ice (Gulliksenand Lønne, 1991; Horner et al., 1992). The ice fauna consists of microorganisms and meiofauna (Gradingeret al., 1999), but also amphipods and fish (Lønne and Gulliksen, 1989a, 1991c; Hop et al., 2000). The mostconspicuous autochthonous or permanently ice-residing fauna are the amphipods Gammarus wilkitzkii, Aphe-

rusa glacialis, Onisimus glacialis and O. nanseni (Poltermann, 1998; Lønne and Gulliksen, 1991a,b; Hop et al.,2000). Another gammarid amphipod, Gammaracanthus loricatus, may also be present in the ice as well as a

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polychaete (Hermanthoinae) (Lønne and Gulliksen, 1991c) and the copepod Jaschnovia brevis (Scott et al.,2002). The sympagic amphipods appear to be the main grazers in Arctic sympagic environments and feed pri-marily on ice algae, but also on zooplankton and ice fauna as well as on detritus derived from the ice com-munity (Poltermann, 2001; Werner and Auel, 2005). They are all omnivorous in general, but show distinctdifferences in mouthparts indicating different feeding strategies (Poltermann, 2001; Arndt et al., 2005). Thesmall Apherusa glacialis is primarily a grazer on ice algae. Gammarus wilkitzkii also graze ice algae, althoughthe larger individuals tend to be carnivorous and all age-groups feed on detritus. The two Onisimus species, aswell as Jaschnovia brevis, seem to have a more mixed diet, including ice algae, detritus and copepods (Scottet al., 1999; Scott et al., 2002). The polar cod (Boreogadus saida) is the main fish species living in close asso-ciation with sea ice, which is made possible because of antifreeze compounds in its blood (Osuga and Feeney,1978). Polar cod feeds primarily on planktonic copepods and amphipods, as well as ice-associated amphipods(Bain and Sekerak, 1978; Craig et al., 1982; Bradstreet et al., 1986; Lønne and Gulliksen, 1989a). It is a keyspecies in Arctic marine pelagic food webs (Welch et al., 1992). The sympagic fauna in the Arctic is consideredto have an important function both as trophic link between the sympagic and pelagic systems, and as a basefor food chains culminating in seabirds and seals (Bradstreet and Cross, 1982; Lønne and Gabrielsen, 1992).

The composition of the sympagic fauna is determined largely by the age and structure of sea ice, its history(drift pattern), and also by characteristics of the underlying water masses (Horner et al., 1992; Hop et al., 2000;Borga et al., 2002). Studies on the distribution of sympagic amphipods related to the age and structure of theice undersides have shown a large variation in density and biomass of ice amphipods both east and west ofSvalbard (Lønne and Gulliksen, 1989b; Lønne and Gulliksen, 1991a,b,c; Poltermann, 1998; Hop et al.,2000). Biomass values from MYI were 10–100 times higher than corresponding values from FYI (Lønneand Gulliksen, 1991a,c). Both G. wilkitzkii and A. glacialis are found in MYI, whereas A. glacialis tends tobe more common in FYI. The highest biomass values, involving the large Gammarus wilkitzkii, are associatedwith MYI floes or pieces of MYI frozen into FYI (Lønne and Gulliksen, 1991c; Hop et al., 2000; H. Hop,diving obs.). The abundance of Apherusa glacialis is closely related to the under-ice water properties andice-algal biomass, whereas the abundance of G. wilkitzkii and Onisimus spp. are more influenced by theunder-ice morphology (Hop et al., 2000; Werner and Gradinger, 2002). The reasons for different distributionpatterns of the dominant amphipod species under Arctic sea ice are probably related to different requirementsof the species, especially for food, shelter and physiological conditions (Hop et al., 2000).

8.3. Ice-associated biomass transport

Ice flora and fauna, as well as sediments, drift with the sea ice into Fram Strait. This transport with subse-quent melting represents a large loss of biomass, but then also a large input of biomass into the Greenland Sea.The annual biomass transported and lost through Fram Strait has been estimated to be 7 · 105 ton (Lønne andGulliksen, 1991c), equivalent to 1–2 · 105 t C yr�1 (Werner et al., 1999). This estimate was based on amphipodbiomass density of 5 g m�2 and 140,000 km2 ice flux based on the Transpolar Drift Stream entering Fram Straitat a speed of 0.5 km d�1. The high biomass value for Fram Strait, compared to the Barents Sea (generally<2 g m�2) (Lønne and Gulliksen, 1991a; Hop et al., 2000) reflects that the Fram Strait ice has more MYI, withhigher biomass of G. wilkitzkii (Arndt and Lønne, 2002). The combined wet biomass values for ice-amphipodstypically vary from 0.1–1 g m�2 for FYI and 0–10 g m�2 for MYI (Lønne and Gulliksen, 1989b). Seasonal var-iation in abundance (and biomass) indicates lower abundance during winter (Werner and Auel, 2005), when thesea ice area flux is the greatest (Fig. 11), but we have not applied this in our bulk estimate below. If approximatevalues of 0.5 and 5 g m�2 are adopted for FYI and MYI respectively, and 80% of the ice enters Fram Strait asMYI (Gow and Tucker, 1987), the ice-associated biomass transport can be calculated based on the mean annualice area flux of 866,000 km2 yr�1 (1978–2002) of Kwok et al. (2004). A bulk value for mean biomass export of icefauna is then about 3.55 · 106 ton wet weight annually. This is almost an order of magnitude higher than theprevious estimate by Lønne and Gulliksen (1991c), and basically reflects the higher, and improved, estimatesof annual ice flux. Based on wet/dry weight percentage (±SE) of 28.3 ± 0.0% for G. wilkitzkii, 33.2 ± 0.1%for A. glacialis, 39.7 ± 1.2% for O. glacialis, and 32.1 ± 1.7% for O. nanseni (H. Hop, unpubl.) and their relativeimportance in terms of biomass, 80% for G. wilkitzkii, 12% for A. glacialis and 8% for Onisimus spp (Lønneand Gulliksen, 1991c), the overall mean wet/dry weight percentage for ice amphipods is about 29.5%. A dry

H. Hop et al. / Progress in Oceanography 71 (2006) 182–231 209

weight/carbon factor of 40%, which is widely used value for marine crustaceans (e.g. Omori, 1969), can be usedto convert the above biomass valued to 4.2 · 105 t C yr�1.

The annual loss of ice fauna through Fram Strait represents a large drain on the populations of ice-amphi-pods in the Arctic Ocean. They cannot be maintained in the open water masses and eventually sink to the bot-tom as they run out of energy (Werner et al., 1999). Their potential recolonisation of ice during the next season(Poltermann, 1998) is likely not possible because of the depth of Fram Strait. A continuous loss of MYI due toclimate warming will likely dramatically reduce this important food source, because most of the biomass of G.

wilkitzkii, is associated with this ice habitat.The ice-associated biomass transport of ice algae and microorganisms is probably also substantial,

although the ice algae are less abundant in the predominately MYI of Fram Strait than in FYI of the BarentsSea (Hegseth, 1992). The biomass transport of ice macrofauna in Fram Strait (0.5 g C m�2, based on 4.1 g m�2

for combined FYI and MYI) is likely double that of ice flora, meiofauna and microorganisms combined, with0.2 g C m�2 estimated for the Greenland Sea pack ice (Gradinger et al., 1999).

9. Middle-to-upper trophic levels

The middle trophic levels are represented by some plankton species as well as fishes. The fish fauna in FramStrait and Kongsfjorden consists of a mixture of boreal and Arctic species, but only few are pelagic and mostof the benthic species are Arctic residents. The upper trophic levels in Fram Strait–Kongsfjorden are repre-sented by a variety of marine mammals (seals, walruses, whales and polar bear) and seabirds. Many speciesare migratory and only reside in the Arctic during their breeding and subsequent feeding periods.

9.1. Fishes

Some of the commercial, boreal fish species, such as Atlantic cod (Gadus morhua), herring (Clupea haren-

gus), blue whiting (Micromesistius poutassou), redfish (Sebastes mentella), and capelin (Mallotus villosus)extend their northern distribution range into Fram Strait, particularly associated with the WSC along Sval-bard (Skjoldal et al., 2004). Except for blue whiting, these species also occur in Kongsfjorden (Hop et al.,2002b). Their ranges overlap with Arctic species, of which polar cod is the most abundant fish in Kongsfjorden(Hop et al., 2002b) and in fjords on Greenland (Christiansen, 2003). The polar cod is the main fish species thatis associated with sea ice (Lønne and Gulliksen, 1989a), but in some areas off the coast of Greenland, such asthe Northeast Water Polynya, another ice-associated gadid, Arctogadus glacialis, is also abundant (Sufkeet al., 1998). Capelin and herring occur in Kongsfjorden, presumably in larger numbers during warm years,such as the unusually warm spring of 2006 when some were caught in bottom trawls in the inner part ofthe fjord (50 capelin and 110 juvenile herring; H. Hop, unpubl. data). Other Arctic pelagic fishes includethe deepwater redfish (Sebastes mentella), and also larvae of some benthic fish species, such as the daubedshanny (Leptoclinus maculatus). Most fish species in Fram Strait as well as in Kongsfjorden are small, benthicArctic species, with notable exceptions such as the Greenland halibut (Reinhardtius hippoglossoides) and theGreenland shark (Somniosus microcephalus). Only 5–6 species in Kongsfjorden are pelagic, whereas the ben-thic fish community probably counts of about 30 species in total (Hop et al., 2002b).

9.2. Marine mammals

The pinnipeds include the true Arctic species ringed seal (Phoca hispida), bearded seal (Erignathus barbatus)and walrus (Odobenus rosmarus). These also occur in Kongsfjorden at low abundances, with ringed seal as themost numerous (Lydersen and Gjertz, 1986; Hop et al., 2002b). Walruses occur near the west coast of Spits-bergen outside their breeding season (Gjertz and Wiig, 1994, 1995), and the harbour seal (Phoca vitulina) has alocal population of <1000 individuals on Prins Karls Forland on Spitsbergen (Lydersen and Kovacs, 2005).Seal species with more sub-arctic distribution ranges are also present in Fram Strait but rarely in Kongsfjor-den. Of these, the harp seal (Pagophilus groenlandicus) is most abundant, with the West Ice stock of about400,000 animals in the pack ice off the east coast of Greenland (Lavigne and Kovacs, 1988; ICES, 2004).The hooded seal (Crystophora cristata), which is less common, has overlapping distribution with harp seal

210 H. Hop et al. / Progress in Oceanography 71 (2006) 182–231

in Fram Strait, but wanders more widely (Lavigne and Kovacs, 1988). Most of the seals prey on polar cod aswell as other fish species present, squid and the pelagic amphipod Themisto libellula (e.g., Nilssen et al., 1995;Falk-Petersen et al., 2004; Haug et al., 2004), whereas walruses feed on benthos, particularly clams (Gjertz andWiig, 1992). Both bearded seals and ringed seals may also utilise the benthic food base (Gjertz and Lydersen,1986; Hjelset et al., 1999).

Whales in Fram Strait include the Arctic species, white whale (Delphinapterus leucas), narwhal (Monodon

monoceros) and bowhead whale (Balaena mysticetus), but only the white whale is commonly sighted in Kon-gsfjorden (Lydersen et al., 2001). Of the oceanic whale species, which frequent Fram Strait as well as theBarents Sea during their annual seasonal migrations (Wassmann et al., 2006), only the minke whale (Balae-

noptera acutorostrata) is regularly seen in Kongsfjorden (Hop et al., 2002b). This species is also the most abun-dant whale species in the North Atlantic, with stock size in the 100,000 range (Skaug et al., 2004). Fin whales(Balaenoptera physalus) also forage on occasion in Kongsfjorden, but these and other large baleen and odon-tocete whales that frequent Svalbard waters tend to remain in coastal and offshore waters as opposed to mov-ing inside the fjords (Hop et al., 2002b). The toothed whales mostly prey on fish, such as white whales preyingon polar cod (Boreogadus saida) and capelin (Mallotus villosus) (Dahl et al., 2000). The large baleen whales aregenerally zooplankton feeders, whereas the minke whale’s diet consists of a wide variety of crustaceans andfish (Lydersen et al., 1991; Haug et al., 2002).

The polar bear (Ursus maritimus) has a circumpolar distribution which includes both Fram Strait and West-Spitsbergen, although it is not frequently observed in Kongsfjorden. The Fram Strait represents an area ofoverlap in ranges for the sub-populations in Svalbard-Franz Josef Land and East-Greenland (Lunn et al.,2002). Most of the polar bears in Fram Strait are from East-Greenland (Born et al., 1997; Wiig et al.,2003), whereas the Svalbard bears have their centre of distribution in the eastern part of the archipelago acrossto Franz Josef Land (Wiig, 1995). The polar bear represents a top predator in the Arctic pelagic system,mainly preying on ringed seals and harp seals, but also on bearded seals (Derocher et al., 2002; Grahl-Nielsenet al., 2003).

9.3. Seabirds

The seabirds in Fram Strait breed primarily on West-Spitsbergen or the east coast of Greenland, but arealso observed offshore during their seasonal migrations or outside their breeding periods. Seabird surveysin Fram Strait–Barents Sea resulted in 22 species (Mehlum, 1989). Of these, the little auk (Alle alle), northernfulmar (Fulmarus glacialis), black-legged kittiwake (Rissa tridactyla) and Brunnich’s guillemot (Uria lomvia)accounted for 95% of the number of birds seen. It is estimated that about 150,000 pairs of nine seabird speciesbreed in the Kongsfjorden area, in numbers >50 pairs, and the common eider (Somateria mollissima) is one ofthe most abundant in addition to black-legged kittiwakes (Hop et al., 2002b). The alcids are pursuit divers,which prey on fish or zooplankton (Mehlum and Gabrielsen, 1993; Anker-Nilssen et al., 2000). The mostimportant food items in sea ice covered waters are polar cod and pelagic and sympagic amphipods (Lønneand Gabrielsen, 1992). The smallest alcid, the little auk, preys on the large calanoid copepods C. glacialis

and to a lesser degree on C. finmarchicus, C. hyperboreus and other planktonic prey (Karnovsky et al.,2003). The gulls generally feed near the surface, on pelagic fish and invertebrates, whereas the glaucous gull(Larus hyperboreus) is a top predator with a diverse diet (Anker-Nilssen et al., 2000). The common eider isa benthic feeder on invertebrates (Anker-Nilssen et al., 2000; Dahl et al., 2003).

10. Pelagic–benthic coupling

Pelagic–benthic coupling encompasses various processes, of which the most important is the sinking oforganic, bio-available matter through the water column to the benthic system (i.e. vertical particle flux), whereit can be grazed, buried or advected. Simulated, annual carbon flux of CO2 from the atmosphere is53 g C m�2 yr�1, which sums up to 2.6 · 106 t C yr�1 for the whole Greenland Sea (Slagstad et al., 1999).Of this, 9 g C m�2 yr�1 is exported by sinking particles, 6 g C m�2 yr�1 by migrating zooplankton (mainlyC. hyperboreus), and 38 g C m�2 yr�1 by advection. The sympagic contribution by ice algae and ice faunawas not part of this model.

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The sedimentation of particulate organic carbon (POC) from the upper 200–300 m in the central GreenlandSea, however, is found to be rather low (<2 g C m�2 yr�1) (Noji et al., 1999). The daily rates of sedimentationof particulate organic material may range up to 19 mg m�2 d�1 during autumn, but the total particulate mate-rial (TPM) may range as high as 250 mg m�2 d�1 during spring or autumn (Noji et al., 1999). Seasonally, thefluxes in the Greenland Sea increase in April, given the onset of the algal bloom, and reach maximum in May–June, with total flux rates around 100 mg m�2 d�1 at 500 m depth (Bauerfeind et al., 1994). The faecal pelletflux increases after the May–June event due to grazing by predominately copepods (Bauerfeind et al., 1994),but also by other zooplankters (e.g. appendicularians, krill and amphipods). The lithogenic flux is highest nearthe ice margin in Fram Strait due to release of ice-rafted material by melting (Hebbeln and Wefer, 1991).

On the permanently ice covered Greenland continental shelf, the sedimentation rate is similar, varying from52 to 229 mg m�2 d�1, with the highest fluxes during February–March (Bauerfeind et al., 2005). However, icetransported lithogenic matter tends to dominate during winter (73%), whereas biogenic matter dominates dur-ing the summer (58%), with POC accounting for 13 mg m�2 d�1 (Bauerfeind et al., 2005). The ice alga Melo-

sira arctica may contribute significantly to the vertical particle flux during the ice melt in June, in theNortheast Water Polynya, and may even dominate the flux of organic carbon during this period (Bauerfeindet al., 1997).

In the glacially influenced Kongsfjorden, the rate of sedimentation of TPM is considerably higher, rangingfrom 7.8 g m�2 d�1 in May to 107 g m�2 d�1 in July, of which particulate organic matter (POM) is 1.5–7.4 g m�2 d�1, respectively (Svendsen et al., 2002). Sinking phytoplankton biomass is an important componentof organic carbon and has been found to range from 1.3 mg C m�2 d�1 during spring, under fast ice, to5 mg C m�2 d�1 during the summer in open water (Wiktor, 1999; Keck, 1999; Keck et al., 1999). Anotherimportant source of sinking organic matter is faecal pellets (Wassmann et al., 1996). Their sedimentation ishigher in summer than in spring, and may increase to 0.75 g C m�2 d�1 in the outer part of Kongsfjorden,presumably because of high grazing activity due to higher zooplankton abundance and biomass in summer(Walkusz et al., in review).

The glacier outflow enhances the input of high amounts of organic material into the inner fjord where itsinks rapidly to the bottom in shallow areas (most of the inner part of the fjord is <100 m deep). The fresh-water input to Kongsfjorden, mainly limited to the summer and autumn, modifies the oceanographic condi-tions of the inner basin to a great extent and also influences the middle part of the fjord. Zooplankton may dieof osmotic shock when they come into contact with water of salinity <9 psu in the vicinity of the glacier front(Weslawski and Legezynska, 1998; Zajaczkowski and Legezynska, 2001). Because this effect persists through-out the melting season (100 days), as much as 85 ton of zooplankton may be removed from the water columnduring this period, constituting 15% of the zooplankton biomass in the fjord (Zajaczkowski and Legezynska,2001). The glacial run-off thus provides an important mechanism for tight pelagic–benthic coupling in theinner part of the fjord by increasing the vertical flux of organic matter, both as flocculated material and deadzooplankton.

11. Pelagic and sympagic food web structures, indicated by stable isotopes

Trophic relationships and energy pathways in ecosystems can be investigated in an objective and quantita-tive manner by measuring naturally occurring stable isotopes of carbon and nitrogen in organisms (e.g. Hob-son and Welch, 1992; Fry and Sherr, 1998). The stable isotope ratio of carbon (d13C) changes relatively little(0–1& per trophic level) upwards in the food web and provides information on organisms’ carbon sources inecosystems with two or three isotopically distinct carbon sources present (Fry and Sherr, 1998; Post, 2002;Søreide et al., 2006). The stable isotope ratio of nitrogen (d15N) undergoes a predictable step-wise enrichment(3–4&) between prey and consumer tissues and is a useful tool to estimate an organism’s trophic level (TL)(Hobson and Welch, 1992; Post, 2002; Søreide et al., 2006).

11.1. Primary producers: food web baseline

Ice algae and phytoplankton are the two major carbon sources, off-shore, in the Fram Strait region (e.g.Birgel et al., 2004; Bauerfeind et al., 2005). Terrestrial organic carbon, incorporated in sea ice and transported

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off shore contributes little to the total organic carbon pool, although its relative importance increases, as theprimary production decreases, towards the central Arctic Ocean (Gosselin et al., 1997; Schubert and Calvert,2001; Birgel et al., 2004). To be able to estimate the importance of ice algae and phytoplankton food sourcesfor lower trophic levels in the Fram Strait region, representative stable isotope values for these two major car-bon sources need to be determined. Ice algae, phytoplankton and terrestrial organic matter have distinctly dif-ferent d13C composition, with ice algae being more enriched in 13C than phytoplankton, and phytoplanktonbeing more enriched in 13C than terrestrial organic matter (Hobson et al., 1995, 2002; Goni et al., 2000; Schu-bert and Calvert, 2001). Several factors lead to distinctly different d13C values of primary producers in sea ice,open water and land habitats, such as differences in CO2 concentration, light, temperature, boundary layersand the type of carboxylating enzymes (Peterson and Fry, 1987; France, 1995; Fry, 1996; Kennedy et al.,2002).

Ice algae are normally represented by samples of particulate organic matter (POM) from the bottom of thesea ice (Ice-POM), and phytoplankton by particulate organic matter suspended in the upper water column(Pelagic-POM) (e.g. Hobson et al., 1995; Søreide et al., 2006). Taxonomical investigations of the POM sam-ples are therefore important, since the POM samples may consist of much material other than algae. The algalspecies composition is also necessary to know, since ice algae (e.g. Nitzschia frigida and Melosira arctica)released from the sea ice may contribute significantly to the total algae suspended in the water column partic-ularly at the onset of sea ice melting (Bauerfeind et al., 1997). Pelagic-related algae (e.g. Thalassiosira spp. andChaetoceros spp.) can grow temporarily on the underside of thin and young sea ice (Syvertsen, 1991; Hegseth,1992), and such assemblages can have similar isotopic composition to phytoplankton (Tremblay et al., 2006;Søreide et al., 2006).

In the East-Greenland/Fram Strait region, Ice-POM d13C values range from �21.0& to �18.3&, whilePelagic-POM has d13C values from�28.4& to�22.0 & (Hobson et al., 1995; Notholt, 1998; Schubert and Cal-vert, 2001; Søreide et al., 2006). The depleted Pelagic-POM values (d13C < 26.0&) suggest that much terrestrialmaterial is present (Goni et al., 2000), although no taxonomical data are available to confirm this. Lipids aredepleted in 13C relative to proteins and carbohydrates (DeNiro and Epstein, 1977; van Dongen et al., 2002;Sotiropoulos et al., 2004). Algae can, at the end of their growth season, build up large lipid stores in responseto nutrient stress (Fahl and Kattner, 1993; Lindqvist and Lignell, 1997), and high algal lipid content may resultin relatively low d13C values (van Dongen et al., 2002; Søreide et al., in press). Removal of lipids prior to stableisotope analyses are commonly performed on animal tissue samples in Arctic marine food web studies in orderto reduce differences in d13C values due to variations in body lipid content (e.g. Hobson et al., 1995; Tamelanderet al., 2006; Søreide et al., 2006). Removal of lipids from POM samples has not normally been done prior tostable isotope analysis, except for in a few recent studies (Tamelander et al., 2006; Søreide et al., 2006).

In the Fram Strait region, the d15N values of Pelagic-POM range from 3.9& to 5.7& during July–October(Hobson et al., 1995; Søreide et al., 2006), which is comparable to the d15N values of Pelagic-POM collectedfrom productive waters elsewhere in the Arctic (Hobson and Welch, 1992; Iken et al., 2005; Tamelander et al.,2006; Tremblay et al., 2006). In winter, when there is very little algae and much detritus, Pelagic-POM is moreenriched in 15N (6.7 ± 1.6&) (Sasaki et al., 2001; Sato et al., 2002). Tremblay et al. (2006) found that Pelagic-POM was most depleted in 15N at the onset of the bloom (4.0&) in the North Water Polynya, Canada. Thestable nitrogen values of sedimented matter on the east Greenland shelf show a gradual increase from summer(3.4&) to winter (7.2&) (Bauerfeind et al., 2005). Bacterial degradation of algae and increased microbial activ-ity can increase the d15N values of POM (Owens, 1985; Rolff, 2000). Ice-POM collected from the underside ofsea ice may be similarly or more enriched in 15N than Pelagic-POM in the Fram Strait region (Hobson et al.,1995; Schubert and Calvert, 2001; Søreide et al., 2006), although Ice-POM from meltwater ponds can bestrongly depleted in 15N (�4.2& to 4.5&; Schubert and Calvert, 2001).

11.2. Trophic structures and sympagic–pelagic coupling

Few stable isotope studies of consumers exist from the Fram Strait region. Hobson et al. (1995) measuredthe stable isotope composition of ice fauna, zooplankton and benthic animals to determine sources of primaryproduction, pelagic–benthic coupling and trophic structures in the Northeast Water Polynya off Greenland insummer (Fig. 1). Søreide et al. (2006) studied the stable isotope composition of several macrozooplankton and

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ice fauna species (>1 mm) in the Marginal Ice Zone (MIZ) west and north of Svalbard, and east of Greenlandin autumn, and Sasaki et al. (2001) and Sato et al. (2002) measured the stable isotope composition in copepodsduring winter, west of Svalbard (Fig. 1).

Søreide et al. (2006) used a two-source food web model to determine trophic levels and carbon sources ofmacrozooplankton and ice fauna (>1 mm). Since this model was based on stable isotope values of POM andconsumers in the Barents Sea MIZ and not from the Fram Strait region, we only consider the d13C and d15Nvalues and not the model-estimates here. To get an overview of the trophic structures and sympagic–pelagiccoupling in the Fram Strait region, we pooled macrozooplankton and ice fauna taxa with similarly enrichedd13C and d15N values (ANOVA, p > 0.05) from the study of Søreide et al. (2006) and made a scatter plot of themean values (Fig. 19). The pooled samples were categorised according to their most likely carbon source: pela-gic (P), sympagic (S) or a mixture (M) of these, based on the assumptions that d13C and d15N values were max-imally enriched by 1& and 3.4&, respectively from one trophic level to the next (Post, 2002; Søreide et al.,2006), and that the Pelagic- and Ice-POM collected in the Fram Strait region in the study of Søreide et al.(2006) were representative for phytoplankton and ice algae, respectively, in this region. The trophic enrich-ment factors for d13C and d15N values were roughly estimated from the plot (Fig. 19), as 0.50–1& and2.4–3.4&, respectively. Hobson et al. (1995) did not estimate trophic enrichment factors in their study fromthe Northeast Water Polynya. They used a higher step-wise enrichment factor (d15N = 3.8&), taken fromHobson and Welch (1992), to determine trophic levels, which resulted in about three trophic levels(TL = 1.7–2.5) within the Polynya plankton community (Fig. 20). Similar ranges in d13C and d15N values werefound for plankton organisms and polar cod in the studies of Hobson et al. (1995) and Søreide et al. (2006),but since a lower enrichment factor was estimated for d15N, the planktonic food web was considered to belonger, roughly comprising four TLs in the study of Søreide et al. (2006) (Table 6, Fig. 19).

Hobson et al. (1995) concluded that Pelagic-POM was the major carbon source for the lower marine foodweb in the Northeast Water Polynya, since zooplankton and ice fauna were relatively depleted in 13C and 15Ncompared to Ice-POM (Fig. 20). However, in their study Pelagic-POM was much more depleted in 13C thanzooplankton and ice fauna. The much depleted d13C values in Pelagic-POM (�27.7& to �28.4&) comparedto herbivorous zooplankton (>�23.0&) may partly be explained by removal of lipids from animals and notfrom POM (Søreide et al., 2006). A significant proportion of terrestrial POM may also have been present inthe Pelagic-POM fraction since Hobson et al. (1995) sampled POM relatively close to Greenland. Søreide et al.(2006) sampled Pelagic-POM relatively far from land and removed lipids from all POM samples prior to stableisotope analysis, and found a better fit between POM and animal d13C values (Fig. 19).

Fig. 19. Trophic characterisation of the lower pelagic and sympagic food web structure in the Fram Strait region, based on stable isotopedata (mean ± SE) collected in September/October 1999 and 2000 (Søreide et al., 2006). Trophic levels (TL) were estimated from d15Nvalues, assuming a maximum TL-enrichment of 3.4&. Major carbon sources were estimated from d13C values, assuming a maximum TL-enrichment of 1&. Numbers refer to species listed in Table 6.

Fig. 20. The plankton food web structure, as defined by stable isotopes of carbon and nitrogen (mean ± SD), of the Northeast WaterPolynya in June/July 1993 (redrawn after Hobson et al., 1995).

214 H. Hop et al. / Progress in Oceanography 71 (2006) 182–231

From a total of 85 zooplankton and 39 ice fauna samples analysed from the Fram Strait region in thestudy of Søreide et al. (2006), the d13C values indicated that only four out of 17 zooplankton species (i.e.Calanus hyperboreus, Paraeuchaetha glacialis, Themisto abyssorum, Mertensia ovum) utilised exclusively Pela-gic-POM source pathways, while two (Apherusa glacialis and Onisimus glacialis) out of five ice fauna speciesutilised primarily Ice-POM carbon sources (Table 6). The others assimilated energy from both carbonsources, which suggests a tight sympagic–pelagic coupling in the Fram Strait region. In areas with extensiveice cover, ice algae may not only be a crucial food source for ice fauna, but also an important seasonal foodsource for zooplankton (e.g. Bradstreet and Cross, 1982; Tremblay et al., 1989; Runge and Ingram, 1991;Runge et al., 1991; Michel et al., 1996; Auel et al., 2002; Fortier et al., 2002). Vertical particle flux studieson the northern shelf of Spitsbergen during summer show rapid recycling of phytoplankton and ice algal-derived matter in the upper water column by zooplankton (Andreassen et al., 1996). Suspended and sedi-mented particulate matter was strongly dominated by faecal pellets, while algal cells only made up 1–6%of the total particulate organic carbon (Andreassen et al., 1996). Extensive zooplankton grazing has also beenfound elsewhere in the Fram Strait region. In the Northeast Water Polynya, almost half of the spring andsummer primary production may be utilised by copepods (Daly, 1997), and in the upper 200 m of the Green-land Sea a substantial recycling of sinking particles occurs from spring to autumn (Noji et al., 1999). Thisimplies that the flux of POM to benthos may consist of much faecal matter and detritus, and less of freshalgae material.

11.3. Feeding strategies of macrozooplankton

The relatively depleted d15N values of C. glacialis and C. hyperboreus in summer, in the Northeast WaterPolynya, indicated a herbivorous diet (Hobson et al., 1995). In autumn, at the end of the vegetative season,Calanus spp. showed large variations in d13C (�23.9& to �20.9&) and d15N (6.4–9.5&) values, which indi-cated that Calanus spp. can switch from being mainly a herbivore (C. finmarchicus and C. glacialis) to mainly adetritivore/omnivore (C. glacialis and C. hyperboreus) (Table 6). Calanus is the key herbivore group in the Arc-tic, and is known to descend to depths and go into a resting stage (diapause) to survive the long unproductivewinter (Hagen, 1999). However, high abundances of Calanus spp. have been found in the upper water column(0–200 m) south and west of Svalbard in winter, and the stable isotope values of these specimens (particularlyof C. glacialis) suggested active feeding on detritus (Sato et al., 2002). The large copepods Paraeuchaeta nor-vegica and P. glacialis are known to be carnivores (Harding, 1974; Tonnesson et al., 2006), and their heavyd15N values (10.1–11&) confirmed this (Table 6).

Table 6Stable carbon (d13C) and nitrogen (d15N) values of participate organic matter from open waters (Pelagic-POM) and underside of the ice(Ice-POM), and zooplankton (z) and ice fauna (i) from the Fram Strait region in September (Stn. 882, 1003) and October (Stn. 890)(Søreide et al., in press)

Trophic level Species/taxa (dominating taxa) Size/stage # Samples # ind. Station d13C d15N

TL = 1P1.0 Pelagic-POM (diatom-mix) 3 1003 �24.6 ± 0.3 3.9 ± 0.4P1.0 Pelagic-POMa (Chaeotoceros spp.) 8 890 �23.5 ± 0.2 5.7 ± 0.2S1.0 Ice-POM (Nitzschia spp.) 3 882 �21.0 ± 0.2 4.2 ± 0.1

TL = 2P2.1 Themisto abyssorum z <9 2 14 882 �23.1 ± 0.1 6.6 ± 0.1

Thysanoessa inermis z 16–19 mm 3 3 882 �23.1 ± 0.8 6.9 ± 0.8Thysanoessa longicaudata z 12–13 mm 1 2 882 �23.7 6.6

M2.1 Calanus finmarchicus z CV & CVIF 5 147 890, 1003 �22.0 ± 0.1 6.4 ± 0.2M2.2 Calanus glacialis z CV & CVIF 6 91 882 �21.0 ± 0.5 7.4 ± 0.3S2.1 Apherusa glacialis i 5–13 mm 7 70 882, 890, 1003 �20.6 ± 0.3 5.7 ± 0.2

Gammarus wilkitzkii i 7–35 mm 6 29 1003 �20.9 ± 0.5 5.9 ± 0.3S2.2 Onisimus nanseni i <10 mm 2 8 890 �20.0 ± 0.0 6.0 ± 0.3

Gammarus wilkitzkii i 12–27 mm 3 8 890 �20.6 ± 0.3 6.4 ± 0.1Onisimus glacialis i 7–12 mm 4 9 890 �20.0 ± 0.5 6.8 ± 0.4

TL = 3P3.1 Mertensia ovum z 15–45 mm 2 15 882 �22.5 ± 0.6 8.1 ± 0.4

Themisto abyssorum z 8–12 mm 3 12 890 �22.4 ± 0.1 8.3 ± 0.3Thysanoessa longicaudata z 14–16 mm 2 8 882 �23.4 ± 0.6 8.6 ± 0.2Clione limacina z 25–35 mm 2 2 882 �22.8 ± 0.1 8.6 ± 0.3Limacina helicina z 8–10 mm 3 4 882 �22.6 ± 0.2 8.7 ± 0.2

P3.2 Themisto abyssorum z 10–15 mm 3 6 882 �23.5 ± 0.4 8.8 ± 0.1Calanus hyperboreus z CV & CVIF 6 111 882 �24.0 ± 0.1 8.9 ± 0.2

P3.3 Themisto libellula z 13–26 mm 6 9 890 �23.0 ± 0.5 9.6 ± 0.4Paraeuchaeta spp. z CV 3 33 882, 890 �22.5 ± 0.3 10.1 ± 0.3Paraeuchaeta glacialis z CVIF 6 28 890 �22.9 ± 0.4 10.6 ± 0.3

M3.1 Gammarus wilkitzkii i 35–62 mm 2 2 890 �22.0 ± 0.3 8.0 ± 0.8Themisto libellula z 10–20 mm 3 6 882 �21.5 ± 0.1 8.5 ± 0.6Eukrohnia hamata z 15–30 mm 5 31 882, 890 �21.5 ± 0.2 8.6 ± 0.2Thysanoessa longicaudata z 14–17 mm 3 15 890 �21.7 ± 0.5 8.6 ± 0.6

M3.2 Calanus hyperboreus z CV & CVIF 6 890 �21.2 ± 0.2 9.4 ± 0.4Calanus glacialis z CV & CVIF 9 890, 1003 �21.3 ± 0.2 9.5 ± 0.2

S3.1 Onisimus nanseni i 20–21 mm 2 2 882 �19.1 ± 0.9 8.9 ± 0.4Beroe cucumis z 70–80 mm 2 2 882 �20.0 ± 0.6 9.0 ± 0.1Thysanoessa inermis z 25–29 mm 3 4 890 �20.0 ± 0.3 9.1 ± 0.1

TL = 4P4.1 Onisimus nanseni i 18 mm 1 1 890 �21.9 12.8M4.1 Paraeuchaeta norvegica z CVIF 3 12 882 �22.0 ± 0.4 10.7 ± 0.6

Boreogadus saida (Polar cod) i 99–112 mm 3 3 882 �22.0 ± 0.3 11.3 ± 0.2M4.2 Sagitta elegans z 26–30 mm 1 4 890 �21.0 12.6

Taxa were, from their stable isotope values, categorized into four trophic levels and their most likely carbon source: Pelagic-POM (P), Ice-POM (S) or a mixture (M) of these two (see Fig. 19).

a POM sampled from the underside of the sea ice were pooled with Pelagic-POM since no differences in algal species or stable isotopecomposition were found.

H. Hop et al. / Progress in Oceanography 71 (2006) 182–231 215

The stable isotope values in the two common Thysanoessa species, T. inermis and T. longicaudata, suggesteddifferent feeding strategies dependent on body size. Medium sized T. inermis (16–19 mm) and T. longicaudata

(10–13 mm) mainly grazed on Pelagic-POM, whereas larger individuals of T. inermis (>22 mm) and T. longicau-

data (>13 mm) switched to a more omnivorous and carnivorous diet. The feeding strategy of the hyperiidamphipod Themisto abyssorum was also found to be dependent on its body size. Small individuals of T. abys-

sorum (<9 mm) grazed mainly on Pelagic-POM, whereas larger specimens became more omnivorous (Table 6).

216 H. Hop et al. / Progress in Oceanography 71 (2006) 182–231

The d15N values (8.5–9.96&) in the larger amphipod T. libellula (13–29 mm) suggested similar, or slightly higherTL compared to large specimens of T. abyssorum (8.3–8.8&). In the Northeast Water Polynya, T. libellula wasslightly more enriched in 15N (d15N = 10.4&) (Hobson et al., 1995) than T. libellula sampled farther east in theFram Strait region in the study of Søreide et al. (2006), but Calanus spp., which are considered to be an impor-tant food items for T. libellula (Scott et al., 1999), was also slightly more enriched in d15N in the Northeast WaterPolynya than the most depleted Calanus spp. in the study of Søreide et al. (2006) (d15N = 7.6–8.2& vs. 6.4–7.4&). The chaetognath S. elegans (17–29 mm) was found to be one of the planktonic top-predators (Table6, Fig. 19). It had much higher d15N values (12.6&) than the other arrow worm Eukrohnia hamata

(d15N = 8.6&), which seemed to be predominantly omnivorous (Table 6). The ctenophore Beroe cucumis

(70–80 mm) is suggested to feed on the cydippid ctenophore Mertensia ovum (Falk-Petersen et al., 2002). How-ever, B. cucumis had only slightly more enriched d15N value (9.0&) than M. ovum (8.1&), so such a predator–prey relationship was not supported by stable isotope analysis. The pteropod Clione limacina (25–35 mm) isconsidered to feed monophageously on the other pteropod L. helicina (shell B 10 mm) (Conover and Lalli,1974). However, similar stable isotope signatures were found in these two pteropods (Table 6), indicating thatboth species were primarily omnivorous (Søreide et al., 2006). Fatty acid analysis has also not revealed a clearpredator–prey relationship between these two species (Falk-Petersen et al., 2001; Boer et al., 2005).

11.4. Feeding strategies of ice fauna

The relatively small ice amphipods A. glacialis (5–13 mm) and O. glacialis feed predominantly on Ice-POM(Table 6). The large ice amphipod Gammarus wilkitzkii (7–35 mm) grazed also on Ice-POM, but the largestspecimens (35–62 mm) switched to a more omnivorous diet (Table 6). Hobson et al. (1995) only analysedthe stable isotope composition in one ice amphipod species, G. wilkitzkii, and determined it to mainly feedon Pelagic-POM (TL = 2.2) in the Northeast Water Polynya. However, G. wilkitzkii from the Polynya hada higher d15N value (9.2&) than the G. wilkitzkii analysed in the study of Søreide et al. (2006). Poltermann(2001) investigated the gut contents of Arctic ice-amphipods, and concluded that all were omnivorous, butthat A. glacialis was herbivorous–detritivorous and that G. wilkitzkii was a detritivorous–carnivorous–necrophagous–suspension–feeder. Studies of fatty acid trophic markers in ice-amphipods also support thesefindings (see below). The trophic position of the relatively large Onisimus nanseni varied also with body size.Individuals with body sizes <10 mm fed mainly on Ice-POM, whereas larger individuals (>15 mm) switched toa more omnivorous and carnivorous diet (Table 6). Juvenile (ages 1 and 2) polar cod use the sea ice as a feed-ing ground and refuge to avoid predators (Lønne and Gulliksen, 1989a). The stable isotope data of macrozoo-plankton and ice fauna (>1 mm) from the Fram Strait region suggest that the chaetognath S. elegans, thepredatory copepod P. norvegica, and the polar cod are exclusively carnivorous, whereas the other speciesswitch between herbivorous-omnivorous and carnivorous feeding strategies dependent on specimens bodysizes and/or algal food availability.

11.5. Upper trophic levels and pelagic–benthic coupling

There are only few studies of stable isotopes in upper trophic levels in the Fram Strait–Kongsfjordenregion, one on seabirds in Kongsfjorden (Dahl et al., 2003), and the Hobson et al. (1995) study on the foodweb structure and pelagic–benthic coupling in the Northeast Water Polynya. In shallow areas, the sources ofcarbon become important, as shown for pelagic versus benthically feeding seabirds. Both isotope values andfatty acid composition indicated strong pelagic links for the black-legged kittiwake (Rissa tridactyla) andnorthern fulmar (Fulmarus glacialis), whereas the common eider (Somateria mollissima) feeds on the benthicsystem. The isotopic signal in benthos shows that grazing crustaceans and filter-feeding bivalves rely on pela-gic POM, and tight benthic–pelagic coupling was also confirmed for some other benthic organisms, with nota-ble exceptions for predatory and deposit-feeding echinoderms. Sea urchin (Stongylocentrotus droebachiensis) isa main prey for eiders (Bustnes and Lønne, 1995), which may explain the benthic isotopic signal in this seabirdspecies. The stable isotope signatures of upper trophic levels and pelagic–benthic coupling have been furtherdescribed in the Barents Sea (Hop et al., 2002a; Tamelander et al., 2006), and some of these findings can likelyalso be applied to Fram Strait.

H. Hop et al. / Progress in Oceanography 71 (2006) 182–231 217

12. Lipids and energy pathways

The zooplankton stocks in the Arctic pelagic zone as well as the ice fauna transfer energy from the seasonalpulse of primary production upwards through the marine food web (Falk-Petersen et al., 1990; Hagen, 1999),and this lipid-driven energy flux is a key specialisation in Arctic bio-production (Falk-Petersen et al., 2006).The use of fatty acid trophic markers (FATM) to trace energy transfer from phytoplankton to top predatorsis based on the observation that primary and some secondary producers synthesise characteristic fatty acidsand alcohols that are conservatively transferred through the food chain (Dalsgaard et al., 2003; Falk-Petersenet al., 2004).

12.1. Phytoplankton and ice algae

Diatoms in general tend to be rich in 20:5(n�3), 16:1(n�7) and C16 PUFA (polyunsaturated fatty acids)but deficient in C18 PUFA. Phaeocystis pouchetii, which is part of both early and late blooms in polar waters,is rich in C18 PUFA, especially 18:4(n�3) and 18:5(n�3). Dinoflagellates are rich in 20:5(n�3) and 22:6(n�3),but not in 16:1(n�7) and C16 PUFA (Sargent et al., 1985; Hamm et al., 2001). Ice algal assemblages are gen-erally dominated by diatoms such as Nitzschia frigida, but large mucilaginous masses of Melosira arctica mayalso be present (Falk-Petersen et al., 2000b). Melosira assemblages had higher percentages of C16 PUFA(polyunsaturated fatty acids), especially 16:4(n�1) and 20:5(n�3) than Nitzschia assemblages (Falk-Petersenet al., 1998). The ice associated diatoms have high nutritional value and represent a source of 20:5(n�3) aswell as 22:6(n�3) in higher trophic levels.

12.2. Herbivorous zooplankton

The generally herbivorous zooplankton C. hyperboreus, C. glacialis and C. finmarchicus have high levels ofdiatom trophic markers 16:1(n�7) (18–23%) and 20:5(n�3) (10–15%) and moderate to low levels of the dino-flagellate markers C18PUFA (3–6%) and 22:6(n�3) (1–3%), indicating diatoms to be their main food source(Table 7). The krill species T. inermis and T. raschii, which are regarded as a key component of the herbivo-rous community (Mauchline, 1980; Falk-Petersen et al., 2000a), show some interesting Arctic adaptations inthat their lipids show clear signs of carnivory, with 18:1(n�9) and copepod 20:1 and 22:1 FATM. The ptero-pod Limacina helicina has very high level of the dinoflagellate FATM C18PUFA (24%) and 22:6(n�3) (9%)together with moderate to high levels of 18:0 (2%), 20:1(n�9) (5%) and 18:1(n�9) (10%) indicating detritalinput of both plant and animal origin (Falk-Petersen et al., 2001). This confirms the understanding that L.

helicina is an omnivore, feeding on particulates of the right size for its mucous trapping net (Gilmer, 1972;Gilmer and Harbison, 1991).

12.3. Ice fauna

The fatty acid trophic markers of the ice amphipod A. glacialis are dominated by 16:1(n�7) fatty acids,followed by the substantial components 20:5(n�3) and 18(n�9) (Table 8). Minor, but quite significant com-ponents include 22:6(n�3) and C16 PUFA. These data are consistent with a major part of the diet of A. gla-

cialis being ice algae, mainly diatoms. Gammarus wilkitzkii differs from A. glacialis in that 16:1(n�7) and18(n�9) are present, respectively, in lesser and greater amounts in G. wilkitzkii, and this species also has sub-stantial amounts of 20:1(n�9) and 22:1(n�11) which are not present in A. glacialis. The 20:5(n�3) is the majorPUFA in G. wilkitzkii with 22:6(n�3) being a minor component. The fatty acid profiles of Onisimus nanseni

and Jaschnovia brevis are similar to that of G. wilkitzkii in containing substantial amounts of 20:1(n�9) and22:1(n�11), and also 18:1(n�9) and 16:0, indicating that both species are omnivores.

12.4. Carnivorous zooplankton and plankton eating fishes

The three most important predators, Mertensia ovum, Themisto libellula, and polar cod, together withjuvenile stages of daubed shanny (Leptoclinus maculates) all have high levels of Calanus FATM and 20:1

Table 7Fatty acid and fatty alcohol composition of the neutral lipids (WE = wax esters, TAG = triacylglycerols) in herbivorous zooplanktonCalanus finmarchicus, C. glacialis, C. hyperboreus, Thysanoessa inermis, T. raschii and Limacina helicina

Calanus

finmarchicus

(% of WE)

Calanus

glacialis

(% of WE)

Calanus

hyperboreus

(% of WE)

Thysanoessa

inermis

(% of WE)

Thysanoessa

raschii

(% of WE)

Limacina

helicina

(% of TAG)

Fatty acids

14:0 9.1 6.7 3.3 0.8 4.1 2.916:0 7.1 6.4 2.5 3.0 16.7 14.016:1(n�7) 23.0 18.0 20.6 10.5 7.5 5.5C16 PUFAs 4.6 2.6 5.3 0.0 0.4 0.218:0 0.4 0.7 0.3 1.0 2.7 2.418:1(n�9) 2.6 5.6 2.4 55.3 5.1 9.518:1(n�7) 1.5 1.0 1.5 11.8 4.9 3.218:2(n�6) 0.8 1.3 1.1 1.1 0.2 4.818:3(n�3) 0.6 0.9 0.6 0.3 0.3 4.118:4(n�3) 2.7 6.0 6.0 0.5 0.4 15.120:1(n�9) 14.5 16.4 16.2 1.8 4.0 4.520:5(n�3) 11.4 12.4 12.6 4.4 2.0 10.822:1(n�11) 9.7 9.9 14.9 1.0 2.3 0.422:6(n�3) 1.4 2.6 3.0 0.4 0.3 9.4

Fatty alcohols

14:0 2.0 1.9 2.9 0.0 0.016:0 8.2 9.2 7.6 54.1 24.516:1(n�7) 6.5 3.5 2.7 13.1 9.818:1(n�7) 2.4 2.0 1.0 0.3 1.120:1(n�9) 35.5 40.6 27.9 0.9 13.220:1(n�7) 1.5 1.1 2.8 0.0 0.422:1(n�11) 37.8 30.7 50.3 2.3 19.722:1(n�9) 0.6 2.8 1.4 0.0 0.0

Data from Scott et al. (2002) and Falk-Petersen et al. (2000a, 2001).

Table 8Fatty acid composition in ice-associated fauna: Apherusa glacialis, Gammarus wilkitzkii, Onisimus sp. and Jaschnovia brevis

Apherusa glacialis

(% of TAG)Gammarus wilkitzkii

(% of TAG)Onisimus spp.(% of TAG)

Jaschnovia brevis

(% of TAG)

Fatty acids

14:0 3.3 4.9 4.4 10.116:0 16.2 12.3 12.9 15.916:1(n�7) 40.8 31.7 30.2 23.916:4 1.8 0.9 0.7 0.518:0 0.9 0.5 11.2 1.018:1(n�9) 7.5 13.6 3.2 5.618:1(n�7) 2.1 3.3 0.8 3.218:3(n�3) 0.6 0.8 2.9 1.218:4(n�3) 2.3 3.4 0.2 3.720:0 0.3 0.0 5.1 0.420:1(n�9) 0.7 3.3 1.1 7.720:4(n�3) 0.6 0.6 15.7 0.420:5(n�3) 11.7 12.6 2.1 8.522:1(n�11) 0.2 2.5 0.5 6.222:5(n�3) 0.7 0.3 2.6 0.422:6(n�3) 2.6 3.1 0.4 3.3

Data from Scott et al. (1999, 2002).

218 H. Hop et al. / Progress in Oceanography 71 (2006) 182–231

and 22:1 alcohols confirming the dominant role of Calanus in their diet (Table 9). Large T. libellula areknown to prey on all zooplankton forms, but the dominance of Calanus in their diet is confirmed by fattyacid analyses from northern Fram Strait and the central Arctic Ocean (Auel et al., 2002), in Svalbard waters

Table 9Fatty acid composition in carnivorous zooplankton, Themisto libellula, Mertensia ovum and Clione limacina, and the plankton-eatingfishes polar cod (Boreogadus saida), snake blenny (Lumpenus lampretaeformis) and daubed shanny (Leptoclinus maculatus)

Themisto

libellula

(% of WE)

Mertensia

ovum

(% of WE)

Clione

limacina

(% of TAG)

Boreogadus

saida

(% of TAG)

Mallotus

villosus

(% of TAG)

Lumpenus

lampretaeformis

(% of TAG)

Leptoclinus

maculatus

(% of TAG)

Fatty acids

14:0 5.1 13.1 2.7 2.6 5.1 3.1 4.716:0 4.4 8.2 15.0 13.1 21.5 12.6 6.916:1(n�7) 13.6 7.4 8.8 11.6 12.5 18.9 13.918:0 0.8 0.5 1.6 2.2 1.8 2.6 0.918:1(n�9) 14.3 11.7 6.7 12.3 20.9 15.2 3.718:1(n�7) 1.7 0.7 4.5 5.1 8.2 7.9 2.018:2(n�6) 2.2 1.1 1.4 0.8 1.1 0.7 0.918:3(n�3) 1.4 2.2 1.6 0.5 0.5 0.2 0.518:4(n�3) 9.4 19.3 3.3 2.0 3.2 0.9 3.520:1(n�9) 16.7 7.8 3.9 12.4 3.3 2.0 26.020:1(n�7) 1.0 0.0 2.5 2.0 0.3 1.1 0.620:5(n�3) 7.1 8.3 8.6 9.2 10.4 11.0 7.122:1(n�11) 4.7 7.1 1.2 6.3 2.7 0.3 17.522:6(n�3) 4.8 3.4 11.7 10.3 4.3 2.9 3.9

Fatty alcohols

14:0 3.2 0.016:0 10.1 14.416:1(n�7) 5.2 2.518:1(n�9) 1.4 5.320:1(n�9) 35.9 33.020:1(n�7) 0.0 0.722:1s 37.5 32.2

Data on M. ovum and C. limacina are from Falk-Petersen et al. (2001), whereas data on T. libellula, B. saida, L. lampretaeformis, and L.

maculatus are unpublished (S. Falk-Petersen).

H. Hop et al. / Progress in Oceanography 71 (2006) 182–231 219

(Scott et al., 1999) and on the Norwegian coast (Falk-Petersen et al., 1987). Mertensia ovum is considered anopportunistic predator (Swanberg and Bamstedt, 1991) feeding on a range of small crustaceans. The FATMshow, however, that Calanus copepods are the dominant energy and food source for this ctenophore (Falk-Petersen et al., 2002). Clione limacina is supposed to feed monophageously on L. helicina (Conover andLalli, 1972), so a close similarity between their lipids may be expected. However, there is little similaritybetween the fatty acid compositions of the neutral lipids in the two species. This can be accounted forby the large ability of C. limacina for de novo biosynthesis of 1-O-alkyldiacylglycerol ethers (DAGE), withfatty acids 15:0, 17:0, and 17:1(n�8) from non-lipid dietary precursors (Phleger et al., 1997; Kattner et al.,1998; Boer et al., 2005). Nonetheless, the stable isotope data indicated that C. limacina and L. helicina wereon a similar trophic level. The two arctic fish species polar cod and daubed shanny are known to ingestlarge amounts of Calanus copepods (Falk-Petersen et al., 1986; Hop et al., 1997) in contrast to the bottomdwelling fish snake blenny (Lumpenus lampretaeformis).

12.5. Top predators

The importance of Calanus in the pelagic Arctic marine food web is very visible in the top predators (Table10). Calanus FATM are dominating in northern fulmar (28%), black-legged kittiwake (17%), white whale(14%) and B. cucumis (16%). The only top predator with no signs of Calanus FATM was the common eider,a benthic feeder (Dahl et al., 2003). The high level of Calanus FATM in northern fulmar, black-legged kitti-wake and white whale is probably a result of secondary ingestion of 20:1 and 22:1 fatty acids via polar cod,capelin and larger zooplankton predators that have Calanus as a dominant part of their diet (Dahl et al., 2000,2003). Beroe cucumis is assumed to feed primarily on M. ovum, based on the similarity in fatty acid profiles of

Table 10Fatty acid composition in the top predators Beroe cucumis, common eider (Somateria mollissima), black-legged kittiwake (Rissa tridactyla)and northern fulmar (Fulmarus glacialis) and white whale (Delphinapterus leucas)

Beroe cucumis

(% of WE)Somateria mollissima

(% of TAG)Rissa tridactyla

(% of TAG)Fulmarus glacialis

(% of TAG)Delphinapterus leucas

(% of TAG)

Fatty acids

14:0 10.6 0.9 4.3 2.8 4.916:0 6.8 23.6 21.7 14.2 6.316:1(n�7) 10.0 6.0 9.0 7.7 22.518:0 0.5 7.5 6.5 4.6 1.118:1(n�9) 12.2 29.3 24.6 22.8 22.618:1(n�7) 0.7 6.1 3.9 5.0 3.518:2(n�6) 1.6 2.6 1.4 1.5 1.218:3(n�3) 2.0 1.1 0.5 0.6 0.518:4(n�3) 18.7 0.8 0.8 0.9 0.720:1(n�9) 8.5 1.3 10.7 16.4 11.720:5(n�3) 9.1 6.5 2.9 3.7 3.122:1(n�11) 7.6 0.2 6.1 10.0 2.822:5(n�3) 0.8 1.2 0.4 0.7 1.522:6(n�3) 3.1 3.9 3.1 4.1 3.2

Fatty alcohols

14:016:0 15.416:1(n�7) 4.018:1(n�9) 5.118:1(n�7) 1.920:1(n�9) 31.622:1(n�11) 31.3

Data from Dahl et al. (2003).

220 H. Hop et al. / Progress in Oceanography 71 (2006) 182–231

their lipids (Falk-Petersen et al., 2002), which explains its high level of Calanus FATM. However, this pred-ator–prey relationship was not supported by the stable isotope data, which indicate similarity in diet ratherthan predation. Another interesting aspect is the high level of diatom FATM 16:1(n�7) and 20:5(n�3) ragingfrom 10% in northern fulmar to 25% in white whale compared to the low levels of dinoflagellate FATM22:6(n�3) and C18 PUFAs, confirming the importance of diatoms and Calanus at the base of the Arctic pela-gic marine food web.

13. Concluding remarks

Fram Strait represents a connection between the North Atlantic and the Arctic Ocean, with a two-waytransport of upper layer water masses (WSC and EGC), associated heat and biological energy. These currentsare somewhat connected with water masses circulating as deep return currents both in the Arctic Ocean and inthe deep part of Fram Strait. This makes it possible for long-lived plankton species, such as C. hyperboreus, tocomplete its life cycle in a loop in the Arctic Ocean and return to Fram Strait and Greenland Sea in the EGC.In addition, there is a one-way transport of ice in Fram Strait, with net transport southwards. The distribu-tions of water masses and ice are climate driven, and the export of Atlantic water directly into the ArcticOcean though Fram Strait represents a major heat transport into the ice covered sea. The magnitude ofthe Atlantic water masses in the branch entering the Arctic Ocean will likely play a major role in decreaseof ice extent in the Arctic Ocean in future climate warming.

The West Spitsbergen Current largely influences the west coast of Svalbard, and directly influences theopen, sill less, fjords along the Spitsbergen coast. Local forcing by winds, freshwater runoff and tidal currentsare important, especially for the water masses in the fjords, but the larger current systems in Fram Strait alsoinfluence the hydrographical conditions over the shelves and in the fjords. Advection of warm water massesduring late autumn and winter, together with prevailing wind patterns and air temperatures, may prevent ice

H. Hop et al. / Progress in Oceanography 71 (2006) 182–231 221

formation in the fjords. In the winter-spring of 2006, Kongsfjorden was almost completely ice free, except for asmall area of fast ice close to the islands in the inner bay.

Kongsfjorden, which is directly connected to waters over the shelf and in the deep Fram Strait, provides amore detailed archive of the larger oceanographic situation due to long-term monitoring records that includesboth physical and biological measurements. The Kongsfjorden–Krossfjorden system can be used as an indi-cator for the larger climate driven processes in Fram Strait. The fjords receive variable Arctic/Atlantic climaticsignals between years, with measurable effects on the physical and biological systems. The biological responsesmay be fast for the pelagic system and slow or delayed in the benthic system.

The physical transport of water masses and ice through Fram Strait has an associated biological transportof organisms and carbon. Transport of sediments, detritus and ice-associated organisms, incorporated in thesouthward ice flux, fuels the Greenland shelf and sea with a large annual input of carbon. Reduction in icethickness and extent in the Arctic Ocean, due to climatic warming, will likely decrease this southward biomasstransport substantially. The northward transport of biological matter, such as zooplankton associated withthe water masses, is currently unknown but must also be large. Some long-lived zooplankton species may com-plete a loop in the Arctic Ocean, but most boreal zooplankton transported into the Arctic Ocean are probablylost to their populations, similarly to ice-amphipods transported southward with the ice through Fram Strait,which are lost to their core population that likely resides in the ice gyre of the high-Arctic Canada Basin.

The pelagic systems of both Fram Strait and Kongsfjorden are highly influenced by advection, and, thus,may be regarded as transitional ecosystems for most species. However, some zooplankton species, such as C.

hyperboreus and meso- and bathypelagic copepods, reside in the deep Greenland Sea. Also, some Arctic spe-cies from all trophic levels are considered residents of Kongsfjorden, given that they reproduce there, althoughmost will not complete their entire life cycle in this system. The transitional pattern is mainly brought about byadvection of boreal species, which are distributed seasonally into both systems during the spring and summer.The balance between boreal vs. Arctic zooplankton and pelagic fishes depends on advection of Atlantic vs.Arctic water masses in which they occur. Marine mammals and seabirds also increase in population numbersduring the Arctic spring and summer season due to breeding and subsequent feeding on the lipid rich marinefood sources.

The trophic structure of the food web has traditionally been determined by analysing stomachs to deter-mine feeding habits. Stable isotopes and lipids provide a complementary way of looking at food web structureand energy transfer, and have thus provided some new insight into Arctic marine food webs. The marine foodweb and energy pathways determined by fatty acid trophic markers have largely supported the stable isotopepicture of the Arctic marine food web, but also provided new information on the trophic relationships forsome species. As more gaps are filled in our understanding of the functioning of Arctic marine food webs, par-ticularly with regard to seasonal and annual variability, it will become more feasible to predict how climatechange will influence the production, structure and system-couplings in these food webs.

Acknowledgements

This publication was supported by the Research Council of Norway NORKLIMA projects Carbon flux and

ecosystem feedback in the northern Barents Sea in an era of climate change (CABANERA, project 155936-700),and On thin ice: Climatic influence on energy flow and trophic structure in Arctic marine ecosystems (Project150356-S30).

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