2017
DOI: 10.1016/j.pocean.2016.12.009
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Spatial and temporal changes in the Barents Sea pelagic compartment during the recent warming

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Cited by 111 publications
(69 citation statements)
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References 70 publications
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“…Capelin schools appear to be able to forage down the zooplankton biomass in an area in a matter of 3-4 d (Hassel et al 1991) and the capelin form density-dependent migratory waves that move out from the central distribution area as the zooplankton prey are depleted locally (Fauchald et al 2006). The finding that top-down effects on copepods are stronger in central and northern than in southwestern Barents Sea is consistent with previous analyzes and with the location of the main feeding areas of capelin (Gjøsaeter 1998, Eriksen et al 2017.…”
Section: Discussionsupporting
confidence: 88%
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“…Capelin schools appear to be able to forage down the zooplankton biomass in an area in a matter of 3-4 d (Hassel et al 1991) and the capelin form density-dependent migratory waves that move out from the central distribution area as the zooplankton prey are depleted locally (Fauchald et al 2006). The finding that top-down effects on copepods are stronger in central and northern than in southwestern Barents Sea is consistent with previous analyzes and with the location of the main feeding areas of capelin (Gjøsaeter 1998, Eriksen et al 2017.…”
Section: Discussionsupporting
confidence: 88%
“…We find strongest statistical support for copepod effects on capelin at age 2 years. A relatively weak association between capelin growth and krill biomass variations is possibly related to the bulk of the krill biomass being south of the main summer feeding areas of capelin (Eriksen et al 2017), which may also explain why estimates of top-down effects by capelin on krill are uncertain. Uncertain estimates of copepod effects on capelin at ages 0 and 1 are likely caused by uncertain capelin lengths at age 0 (Fig.…”
Section: Discussionmentioning
confidence: 99%
“…The Norwegian Sea and Barents Sea ecosystems are affected by climate variability and change (Drinkwater, 2011;Loeng & Drinwater, 2007), and substantial changes in both these ecosystems were observed in the early 2000s (Eriksen, Skjoldal, Gjøsaeter, & Primicerio, 2017;Fossheim et al, 2015). The updates of the long time-series for From 2005, the temperature increases to higher values than previously seen, for example during the warm 1930s (Toresen & Østvedt, 2000), while the spawning stock biomass levels off and subsequently decreases (Figure 2).…”
Section: Spawning Stock Recruitment and Oceanographic Conditionsmentioning
confidence: 87%
“…The Norwegian Sea and Barents Sea ecosystems are affected by climate variability and change (Drinkwater, ; Loeng & Drinwater, ), and substantial changes in both these ecosystems were observed in the early 2000s (Eriksen, Skjoldal, Gjøsæter, & Primicerio, ; Fossheim et al, ). The updates of the long time‐series for Norwegian spring‐spawning herring demonstrate a radical shift in the relationship between temperature and development of the herring stock in response to warming as part of the on‐going climate fluctuations and possible changes.…”
Section: Discussionmentioning
confidence: 99%
“…During the 14 years of the BESS, we have obtained a better understanding of the ecosystem components and processes and knowledge has been documented in more than 200 scientific papers and 13 survey reports. During this period, many changes in the ecosystem have been documented, including changes in fish community structure , functional diversity of fish (Wiedmann et al, 2014), food web structure (Kortsch et al, 2015;Dolgov, 2016) and productivity (Eriksen et al, 2017). ICES working groups on integrated ecosystem assessment for the Barents Sea (WGIBAR) and the Arctic Ocean (WGICA, established 2016) mainly use the BESS-data, stock assessment data, and 3-D physical and ecological modeling to describe the status of the ecosystem, and based this longterm time series and knowledge, they try to explain current changes and predict further development of the ecosystem.…”
Section: Discussionmentioning
confidence: 99%