Article

A synthesis of the ecosystem responses to the late 20th century cold period in the northern North Atlantic

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Abstract

Following rapid cooling in the 1960s, much of the North Atlantic Ocean was characterized by a cold period during the 1970s and 1980s. This cold period was part of the multidecadal variability in sea surface temperatures known as the Atlantic Multidecadal Oscillation or AMO, which has a period of 60–80 years. During this cold period, below average air and sea temperatures predominated, increased ice cover was observed in those northern regions with seasonal sea ice, and evidence was found of reduced Atlantic inflow into the Northeast Atlantic Ocean. The ecological responses included a reduction in primary production and geographic shifts in zooplankton species. Also, there was a general southward expansion of arctic and boreal fish species and a retreat of the temperate species. Major fish stocks such as Atlantic cod off Greenland and Labrador/northern Newfoundland, as well as the Norwegian spring-spawning herring, collapsed commercially. These collapses were partly driven by climate-induced declines in growth rates and recruitment survival, as well as fishing. In contrast, in the more southern range of Atlantic cod, such as the North Sea, the opposite response occurred as the cool conditions led to improved growth rates and higher abundance. Long-term measurements in the English Channel documented the replacement of several warm-water species with more northern cold-water species. Benthic and nearshore species also underwent distributional shifts and changing abundances. Comparisons with the responses to the warm periods suggest that following the cold period of the 1970s and 1980s, the ecosystem in the 1990s and 2000s returned to conditions akin to what they were in the previous warm period of the 1930s–1950s. However, there were some notable exceptions, such as the continued low abundance of Atlantic cod off West Greenland and Labrador/northern Newfoundland. © International Council for the Exploration of the Sea 2018. All rights reserved.

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... Such biological impacts may manifest not only at an individual species level but also at fish community and marine ecosystem levels (e.g. Alheit & Bakun, 2010;Attrill & Power, 2002;Beaugrand et al., 2015;Drinkwater & Kristiansen, 2018;Faillettaz et al., 2019;Ma et al., 2019;Noakes & Beamish, 2009;Pang et al., 2018;Tian et al., 2003Tian et al., , 2004Tian et al., , 2008Tian et al., , 2014Wooster & Zhang, 2004). Hence, identifying biological responses to physical processes is of crucial importance for the sustainable management of fish populations and ecosystems (Blöcker et al., 2023;Scheffer et al., 2009;Wooster & Zhang, 2004). ...
... regime shift was also identified in the ecosystems of the North Atlantic, suggesting the global impact of the regime shift (Beaugrand et al., 2015;Reid et al., 2016). Increasing evidences demonstrate that the Atlantic Multidecadal Oscillation (AMO), a proxy of water temperature of the North Atlantic, drives the spatio-temporal dynamics of the distribution and abundance of small pelagic fishes and tunas, as well as the North Atlantic ecosystems (Alheit et al., 2014;Drinkwater & Kristiansen, 2018;Faillettaz et al., 2019). A recently updated study indicates that the AMO drives the variability of the Pacific subtropical mode water (STMW) with potential effects on fishes such as skipjack tuna (Hou et al., 2022;Wu et al., 2020). ...
... Increasing evidence demonstrated that the AMO largely impacted not only small pelagic fishes, but also tunas and ecosystems in the North Atlantic (Alheit et al., 2014;Drinkwater & Kristiansen, 2018;Faillettaz et al., 2019). Small pelagic fish populations in the eastern North and Central Atlantic, including those in the Mediterranean Sea, responded quickly to the AMO variability by changing their abundance and migration ranges (Alheit et al., 2014). ...
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The marine ecosystems around Japan are very productive and have typical wasp‐waist structure dominated by small pelagic fishes such as sardine, exhibiting large low‐frequency fluctuations in biomass. Whereas studies on the variability in abundance of individual species such as sardine and anchovy are popular, only a few studies focused on the long‐term variability of fish assemblage around Japan. In this study, 13 species/taxa ranging from small forage to large predatory species and from warm‐ to cold‐water species were selected to indicate essential characteristics of the fish assemblage and their drivers were analysed based on fishery, oceanographic and climatic data sets from 1901 to 2018. Results show that two outstanding peaks during the 1930s and 1980s were characterized by abundant sardine. Additionally, species composition showed high similarities during similar temperature regimes while exhibiting contrasts during different temperature regimes. Variations and regime shifts in dominant patterns and fish community indices coincided well with the Atlantic Multidecadal Oscillation (AMO) and regional sea surface temperature (SST). Furthermore, gradient forest analysis identified AMO and regional SSTs as most important predictors of dominant patterns and fish community indices, suggesting that the decadal and multidecadal variability in the fish assemblage around Japan was forced by basin‐scale climate variability as inherent in the AMO through its connections with regional SSTs. Autocorrelation coefficient demonstrated that the ecological indicators have the potential to be early warning signals of regime shifts, which suggests the possibility of coming cold regime since around 2015 and has important implications for fisheries management.
... In the northern hemisphere, nutrient flow and thus species abundance and migration was shown to be linked to the Atlantic Multidecadal Oscillation index (Alvarez-Fernandez, 2012;Hátún et al., 2016), which is the de-trended mean of North Atlantic (0-60° N) SST anomalies (Alheit et al., 2014). The AMO has implications for a trophic cascade through plankton to crustaceans and molluscs to seabirds (Drinkwater & Kristiansen, 2018). Conversely, predation pressure can act as a top-down driver on nest numbers and distribution of seabirds (Barros et al., 2016;Gerell, 1985;Nordström & Korpimäki, 2004), and the impacts of native and introduced predators can differ vastly (Salo et al., 2007). ...
... The AMO is used to capture cyclic changes that can have profound effects on ecosystems (Trenberth & Zhang, 2021), and we found evidence for the Bottom-up control hypothesis of eiders, as climate-driven resource availability partly drives eider nest dynamics in Brokey over the 123 years of study. While there are effects on algal blooms, zooplankton and fish abundance (Drinkwater & Kristiansen, 2018), the population effects on bird species need to be better understood (Nye et al., 2014). The increased oceanic productivity in warm AMO regimes could be projected to translate into higher bird numbers, but this has, for example, not been found in great cormorant (Phalacrocorax carbo) abundance in Iceland (Gardarsson & Jónsson, 2019). ...
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... Molinero et al., 2005). The dominant influence of NAO on the climate of the North Atlantic, mostly due to the regional asymmetry in wind patterns and its quasi-decadal variability (Hurrell and Dickson, 2004), supports its major role in determining the environmental conditions in marine ecosystems, with measurable effects on many organisms (Nye et al., 2014;Drinkwater and Kristiansen, 2018). The NAO was the dominant cause of shifts reported in the central North Atlantic zone (Figure 3b). ...
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... The NEA cod stock abundance has been in synchrony with multidecadal climate oscillations, e.g. the Atlantic Multidecadal Oscillation, as have its distribution and spawning habitats (Sundby and Nakken, 2008;Drinkwater and Kristiansen, 2018). Previous studies have shown that the NEA cod stock distribution expands northeast in the feeding habitat in the Barents Sea with increased temperatures and a corresponding smaller ice coverage (Ottersen et al., 1998;Kjesbu et al., 2014). ...
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... In the Norwegian and Barents Seas, recent warming and increased Atlantic water inflow events have been recorded, with a decline in sea-ice cover in the northern Barents Sea (19)(20)(21). As a consequence, profound effects on the geographical distribution and productivity of commercial fishing stocks are expected (22)(23)(24). In fact, species turnover was projected to increase in the area in the next decades, resulting from some local species extirpations and the arrival of warmer-water species (17,25,26). ...
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... Investigations of 64 herring populations detected the importance of local drivers in formation of R and suggested that generally complex and uncertain processes are responsible for the relationship between SSB and R (Trochta et al. 2020). One of the important drivers behind herring dynamics is climate change-warming, operating via modifications in ecosystem conditions, which may affect larval drift or cause changes in growth rates and recruitment survival (Drinkwater and Kristiansen 2018;Tiedemann et al. 2021). ...
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Scientific interest in the dynamics of fish recruitment dates back to the beginning of the 20th century. Since then, several studies have shown that the environment may have a stronger effect on recruitment (R) compared to that of the spawning stock biomass (SSB). By combining a suite of methods designed to detect the nonlinear, nonstationary and interactive relationships, we have re-evaluated the potential drivers and their interactions responsible for the multiannual dynamics of the recruitment dynamics of the Gulf of Riga (Baltic Sea) spring spawning herring (Clupea harengus membras) population at the longest time-span to date (1958–2015) allowing coverage of variable ecosystem conditions. R was affected significantly by prey density and the severity of the first winter. Although SSB was not a good predictor of R, adding interaction with SSB significantly improved the model, hence the effect of the two environmental variables on R was modulated by SSB. While temporal changes in the environment–R relationship were generally gradual, several abrupt changes were evident in the strength of these relationships. In addition, nonstationary, linear and nonlinear relationships were observed.
... For the majority of non-target species in Greenland waters and in contrast with other arctic-boreal ecosystems, such as the Barents Sea, sensitivity to temperature has not been quantitatively tested and recent reviews must still rely on information based on observations from the early 20th century (Drinkwater, 2006;Drinkwater & Kristiansen, 2018). Yet, information about how fish abundance responds to environmental change is necessary to lay the foundation to predict fish distribution in the future and draw conclusions on socio-ecological implications of rising temperatures. ...
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... While the retraction of ice northwards results in a well-known poleward shift in species distribution [25][26][27], and much is known about the functional role of boreal and arctic benthic fauna [28][29][30], uncertainties remain about how concurrent adjustments in biodiversity and food supply affect benthic biogeochemical responses. One source of ambiguity is that changes in sea ice extent, and all of its correlates, exhibit considerable inter-annual variability [31,32] that can appear to manifest as alternative ecosystem responses [33], making it difficult to distinguish natural variability within a period of gradual change from the onset of an abrupt regime shift [34]. Furthermore, the transition or borealization of arctic fauna [35] can positively affect local levels of biodiversity [36,37] and/or provide a functional buffer by maintaining ecological processes [38], depending on local context [39,40] and how post-borealization species interactions and compensatory responses are realized [41,42]. ...
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... Challenges: when relations between fish abundance and climate are examined, the additional impact of fisheries is always a challenge. Most aquatic species will have an unimodal response to temperature, too low and too high temperatures decrease their abundance, e.g., [51] and [52] respectively. For fish species the match-mismatch effects between fish and its food source are important [53]. ...
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... The observed shifts in spawning sites, may also be linked to temperature through the shifts of sea ice edge in the Barents Sea in cold and warm periods (Figure 4). Such shifts in the sea ice edge change the area available for predation (Sundby and Nakken, 2008;Drinkwater and Kristiansen, 2018). To find the mean position or center of geographic distribution for the spawning sites along the coast in March and April, we use the masks satisfying the spawning mass criteria for this study given in Table 1. ...
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... Several studies have documented the ecosystem responses to the mid-20th Century warm period in the North Atlantic associated with the AMO and the recent warming. Drinkwater and Kristiansen (2018) provide a synthesis of the ecosystem responses to the AMO-linked cold period of the 1970s and 1980s following the rapid cooling in the 1960s. This and other cold periods have received much less attention in the scientific literature. ...
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An extended reanalysis, a combination of observations and model output, is used to examine the spatial patterns of physical variables associated with the Atlantic Multidecadal Oscillation (AMO) from 1871 to 2008. The results are presented as anomalies during positive and negative phases of the AMO. As in previous studies, during positive (negative) AMO phases the sea surface temperature (SST) is anomalously warm (cold) over most of the North Atlantic, with the exception of the east coast of the United States. The atmospheric patterns, associated with the positive phase of the AMO, include anomalous low pressure over the Atlantic between 20°S and 50°N, cyclonic surface winds around the low, reduced wind speeds over the tropical Atlantic and enhanced precipitation in the eastern tropical Atlantic, with roughly opposite conditions during negative AMO phases. There are, however, substantial differences in the SST and the atmospheric anomalies between periods of the same phase, especially in the extratropics. Correlations between the AMO and air temperature anomalies are positive over much of the globe between 40°S and 50°N, with correlations exceeding 0.6 (~ 95% significance level) over the Maritime Continent and northern rim of the Pacific Ocean. Most of the sea level pressure (SLP) anomalies beyond the Atlantic are not statistically significant.
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Using surface data from 57 UK meteorological stations, a national (BADC-57) and regional wind index for the UK has been calculated for the period 1983 to 2011. For a subset of seven stations, an additional national index (BADC-7) has been calculated for the period 1957 to 2011. The indices show an annual variability of 4% over their respective periods corresponding to a variation in typical wind turbine capacity factor of 7%. These indices are compared with indices calculated from other sources, namely: an index generated using a gridded dataset of observed values interpolated across the UK; an index calculated from an area bounding the UK using the ERA-40 reanalysis dataset; indices calculated from bilinear interpolation of the ERA-40 reanalysis dataset to the 57 and seven stations; and another independent UK wind index. The indices show variation in trends with all showing some level of decline with the exception of that generated using the ERA-40 reanalysis dataset averaged over the UK which shows a significant increase. The various indices show varying degrees of agreement with correlation coefficients, after trends are removed, ranging between 0.611-0.979. The effect of changes in site exposure, instrument bias and measuring height were considered for the BADC-7 and BADC-57 indices. The change in instrument measurement height appears to have a significant biasing effect and it is likely that this along with changes in exposure at urban sites have caused the decline in annual wind speeds observed for some of the indices. There does not appear to be evidence for significant changes in large area (mesoscale) surface roughness. The correlation between annual mean wind speeds at the seven surface station sites used to calculate the BADC-7 index is seen to be quite weak indicating very localised variations in inter-annual variability. When regional differences in the index are investigated, it is seen that wind speeds show a very slight decline across the UK in all regions except the south-east, which shows a slight increase. The greatest decrease is seen in the north-west. These changes are in the same direction as the tentative predictions given by climate models for future changes in wind speed across the UK, though the uncertainty is large given the large degree of inter-annual variation.
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It follows from the analysis of observation data that the secular variation of the mean temperature of the Earth can be explained by the variation of short-wave radiation, arriving at the surface of the Earth. In connection with this, the influence of long-term changes of radiation, caused by variations of atmospheric transparency on the thermal regime is being studied. Taking into account the influence of changes of planetary albedo of the Earth under the development of glaciations on the thermal regime, it is found that comparatively small variations of atmospheric transparency could be sufficient for the development of quaternary glaciations. DOI: 10.1111/j.2153-3490.1969.tb00466.x
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We use observed air temperature data series from 14 meteorological stations in coastal Greenland (located all around the Greenland Ice Sheet) for 1960–2010, where long-term records for five of the stations extend back to 1890, to illustrate the annual and monthly temporal and spatial distribution of temperature extremes, with the main focus on the latest decade 2001–2010 (2000s). We find that the 2000s had the highest number of mean annual air temperature (MAAT) warm extremes, and the 1890s the highest number of cold extremes, and that a high (low) positive North Atlantic Oscillation (NAO) Index equals a high number of cold (warm) extreme events. For the 2000s the number of warm extremes was significantly higher by around 50% than the number in the 1940s (the early twentieth century warm period): the latter being the decade with the second highest occurrence of MAAT warm extremes. Since 1960, based on MAAT the number of cold extremes has overall decreased on the decadal timescale, besides a peak in 1980s, while warm extremes have increased, leading to a higher occurrence of extremes (cold plus warm extremes): an almost similar pattern occurred for monthly mean temperatures and monthly mean daily maximum and minimum temperature datasets. Furthermore, a division of Greenland into east and west sectors shows that the occurrence of cold (warm) extremes was more pronounced in the East than in the West in the 1960s and 1970s (mid-1980s to the 2000s).
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Few links have been established between the Atlantic Multidecadal Oscillation and long-term dynamics of marine systems due to the scarcity of sustained biological time-series with sufficient multi-decadal coverage. The abundances of co-occurring boreal and Lusitanian species of barnacle have been recorded annually at a rocky shore in Devon, southwest England since 1953. Multidecadal cycles in relative abundances of the cold-water Semibalanus balanoides and warm-water Chthamalus spp. are strongly correlated with both local sea surface temperatures, and a 'Warm Index' of barnacle abundance shows strong links to the basin-scale Atlantic Multidecadal Oscillation. In contrast there are weak or no observed relationships with the North Atlantic Oscillation for either species. The shorter lifecycle of S. balanoides compared to the chthamalids and the increase in spring and summer temperatures to which newly settled S. balanoides recruits have been exposed during the last decade are likely mechanisms by which barnacle densities are responding to low-frequency temperature variability expressed in the Atlantic Multidecadal Oscillation.
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twentieth century Northern Hemisphere mean surface temperature (NHT) is characterized by a multidecadal warming-cooling-warming pattern followed by a flat trend since about 2000 (recent warming hiatus). Here we demonstrate that the North Atlantic Oscillation (NAO) is implicated as a useful predictor of NHT multidecadal variability. Observational analysis shows that the NAO leads both the detrended NHT and oceanic Atlantic Multidecadal Oscillation (AMO) by 15-20 years. Theoretical analysis illuminates that the NAO precedes NHT multidecadal variability through its delayed effect on the AMO due to the large thermal inertia associated with slow oceanic processes. An NAO-based linear model is therefore established to predict the NHT, which gives an excellent hindcast for NHT in 1971-2011 with the recent flat trend well predicted. NHT in 2012-2027 is predicted to fall slightly over the next decades, due to the recent NAO decadal weakening that temporarily offsets the anthropogenically induced warming.
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Understanding the biophysical mechanisms that shape variability in fisheries recruitment is critical for estimating the effects of climate change on fisheries. In this study, we used an Earth System Model (ESM) and a mechanistic individual-based model (IBM) for larval fish to analyze how climate change may impact the growth and survival of larval cod in the North Atlantic. We focused our analysis on five regions that span the current geographical range of cod and are known to contain important spawning populations. Under the SRES A2 (high emissions) scenario, the ESM-projected surface ocean temperatures are expected to increase by >1 °C for 3 of the 5 regions, and stratification is expected to increase at all sites between 1950-1999 and 2050-2099. This enhanced stratification is projected to decrease large (>5 μm ESD) phytoplankton productivity and mesozooplankton biomass at all 5 sites. Higher temperatures are projected to increase larval metabolic costs, which combined with decreased food resources will reduce larval weight, increase the probability of larvae dying from starvation and increase larval exposure to visual and invertebrate predators at most sites. If current concentrations of piscivore and invertebrate predators are maintained, larval survival is projected to decrease at all five sites by 2050-2099. In contrast to past observed responses to climate variability in which warm anomalies led to better recruitment in cold-water stocks, our simulations indicated that reduced prey availability under climate change may cause a reduction in larval survival despite higher temperatures in these regions. In the lower prey environment projected under climate change, higher metabolic costs due to higher temperatures outweigh the advantages of higher growth potential, leading to negative effects on northern cod stocks. Our results provide an important first large-scale assessment of the impacts of climate change on larval cod in the North Atlantic.
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Over 32 years of wind data, which are based on surface pressure maps, from the Hindcast data base that has been developed by the Norwegian Meteorological Institute have been used to study the wind stress curl field, over the Nordic Seas. The mean wind stress curl pattern is characterized by very large values over most of the area, especially over the Greenland Sea. Within the framework of Sverdrup dynamics this gives rise to a cyclonic circulation in the area, with a maximum transport in the western boundary current of about 35 Sv. Only one gyre is present, and its center is situated between Jan Mayen and Greenland. The seasonal variation of the wind stress curl is very large, with almost negligible values during summer, from May through August. During September the wind stress curl starts to build up and has reached its full winter strength by November. This maximum is maintained until April, when it begins to decline to typical summer values. In order to study the spatial and temporal scales of the wind stress curl, an empirical orthogonal function analysis was performed on the wind stress curl after filtering it with a half-power period of 50 days and then resampling the wind stress curl every 30 days. A Monte Carlo method is used to estimate the statistical significance of the various modes. The first 11 modes are found to be significant, and they represent 83.6% of the total variance of the data set. The first mode clearly shows the seasonal fluctuations of the mean wind stress curl pattern, representing the seasonal variation in the intensity of the Icelandic low. The next two modes show mostly interannual variability, with a decadal time scale. Most of these variations are happening in the northern part of the Greenland Sea. The other significant modes are mainly describing variability that is limited either in space or in time. A large part of this anomalous variability occurs in the 1980s.
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We compare Atlantic cod stocks in the Barents Sea and on the Newfoundland Shelf.The Barents Sea (BS) cod has remained productive whereas the NF cod collapsed.Management reduced catches more for BS cod at a time of crisis in the late 1980s.Intensification of the NAO in the early 1990s contributed to the differences.
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This paper reviews three modes of natural variability that have been identified in the North Atlantic Ocean, namely, the North Atlantic Oscillation (NAO), the Atlantic Multidecadal Oscillation (AMO) and the Atlantic Meridional Mode (AMM). This manuscript focuses on the multidecadal fluctuations of these three modes. A range of different mechanisms to initiate phase reversals in these modes on multidecadal timescales has been suggested previously. We propose a systematic grouping of these mechanisms into three types that involve, respectively, (1) the dependency of the Atlantic thermohaline circulation (THC) on salinity, (2) the sensitivity of the THC to changes in ocean heat transport and (3) the dependency of the NAO to changes in the Atlantic meridional temperature gradient. Some new density data is also provided, demonstrating physical links between the THC and the AMO.
Article
A recent period (1977–1982) of cold climate in the Barents Sea resulted in a greatly reduced feeding area available for the Arctic cod and in consistently low recruitment. With the start of a warmer period in 1982/83, the area and potential for production of cod biomass expanded and recruitment has increased. A hypothesis is presented that through evolutionary processes, the reproduction of the Arctic cod is adjusted to the variations in the feeding area caused by climatic fluctuations. Historical data on sea temperature and ice cover are used to describe the climatic fluctuations for the period 1900–1983 and these are compared with data on fluctuations in year-class strength. It is concluded that conditions favouring high survival rates of cod larvae must be related to the occurrence of high temperatures in the Atlantic component of the Norwegian current. The processes and/or phenomena must have a large time and space scale. This is also confirmed by the high incidence of temporal similarity in survival success of the stocks of cod, haddock and herring in this area.
Article
Stocks of Atlantic cod (Gadus morhua) have been declining over much of the North Atlantic for the past 30 years, owing to a combination of overfishing and adverse changes in their environment. In a previous study, environmental effects were introduced as an extra parameter in the stock-recruit relationship, where they act as a multiplier, independent of the level of spawning-stock biomass (SSB). Using a non-parametric pooled analysis of all cod stocks on the European Shelf south of 62 degrees N, it is shown here that environmental variability (as represented by the North Atlantic Oscillation) only has a significant effect on recruitment when the spawning stock is low. This has implications for fisheries management strategies, and for rates of stock recovery, which will be very dependent on environmental conditions. (c) 2004 International Council for the Exploration of the Sea. Published by Elsevier Ltd. All rights reserved.