Distribution and growth in juveniles of the squid<i>Berryteuthis magister</i>(Cephalopoda, Gonatidae) in the western Bering sea

Arkhipkin, Alexander I.; Бизиков, В. А.; Verkhunov, A. V.

doi:10.1080/00364827.1998.10413668

Cited by 23 publications

(35 citation statements)

References 8 publications

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“…While Gonatus juveniles inhabit the upper water column, the short-lived adults roam depths .400 m, where they are preyed upon by narwhals (Laidre and Heide-Jørgensen 2005), belugas, and other deep-diving mammals such as sperm whales, northern bottlenose whales, and long-finned pilot whales (Bjørke 2001). In the Bering Sea, where Berrytheuthis magister is the predominant squid species, squid are preyed upon by some mammals such as northern fur seals (Arkhipin et al 1995).…”

Section: Hopcroft Personal Communication)mentioning

confidence: 99%

Regional Variability in Food Availability for Arctic Marine Mammals

Bluhm

Gradinger

2008

Ecological Applications

282

192

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Abstract. This review provides an overview of prey preferences of seven core Arctic marine mammal species (AMM) and four non-core species on a pan-Arctic scale with regional examples. Arctic marine mammal species exploit prey resources close to the sea ice, in the water column, and at the sea floor, including lipid-rich pelagic and benthic crustaceans and pelagic and ice-associated schooling fishes such as capelin and Arctic cod. Prey preferred by individual species range from cephalopods and benthic bivalves to Greenland halibut. A few AMM are very prey-, habitat-, and/or depth-specific (e.g., walrus, polar bear), while others are rather opportunistic and, therefore, likely less vulnerable to change (e.g., beluga, bearded seal). In the second section, we review prey distribution patterns and current biomass hotspots in the three major physical realms (sea ice, water column, and seafloor), highlighting relations to environmental parameters such as advection patterns and the sea ice regime. The third part of the contribution presents examples of documented changes in AMM prey distribution and biomass and, subsequently, suggests three potential scenarios of large-scale biotic change, based on published observations and predictions of environmental change. These scenarios discuss (1) increased pelagic primary and, hence, secondary production, particularly in the central Arctic, during open-water conditions in the summer (based on surplus nutrients currently unutilized); (2) reduced benthic and pelagic biomass in coastal/shelf areas (due to increased river runoff and, hence, changed salinity and turbidity conditions); and (3) increased pelagic grazing and recycling in open-water conditions at the expense of the current tight benthic-pelagic coupling in part of the ice-covered shelf regions (due to increased pelagic consumption vs. vertical flux). Should those scenarios hold true, pelagic-feeding and generalist AMM might be advantaged, while the range for benthic shelf-feeding, ice-dependent AMM such as walrus would decrease. New pelagic feeding grounds may open up to AMM and subarctic marine mammal species in the High Arctic basins while nearshore waters might provide less abundant food in the future.

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Section: Hopcroft Personal Communication)mentioning

confidence: 99%

Regional Variability in Food Availability for Arctic Marine Mammals

Bluhm

Gradinger

2008

Ecological Applications

282

192

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“…For example, schoolmaster gonate squid (Berryteuthis magister) in the Bering Sea are found in low concentrations in the summer but aggregate over the continental slope in the winter (Arkhipkin et al 1996). Similarly, in northwest Africa, mature European flying squid (Todarodes sagittatus) move to continental slopes to spawn in winter months (Arkhipkin et aL 1999).…”

Section: Resultsmentioning

confidence: 99%

Temporal variation in dwarf sperm whale (Kogia sima) habitat use and group size off Great Abaco Island, the Bahamas

Dunphy‐Daly¹

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“…Generally, squid growth follows one of two patterns: non-asymptotic (Boyle & Rodhouse 2005) or asymptotic (Arkhipkin et al 1996, Arkhipkin & RoaUreta 2005. According to Boyle & Rodhouse (2005), we analyzed a non-asymptotic growth pattern for jumbo squid using 4 growth candidate models:…”

Section: Non-asymptotic Modelsmentioning

confidence: 99%

“…Conversely, authors studying both slope and open ocean species (primarily oegopsin squid) have often found that growth in these individuals slows down earlier in onto genesis than in tropical or subtropical myopsins and displays asymptotic tendencies by the end of their life cycle. Length-at-age data for these species were commonly best described by asymptotic functions (Arkhipkin et al 1996, Arkhipkin & Roa-Ureta 2005, Miyahara et al 2006, Schwarz & Alvarez-Perez 2010. This paper presents the first growth curve for D. gigas from paralarvae to adult individuals in the population based on a statistical confrontation of asymp totic and non-asymptotic models.…”

Section: Introductionmentioning

confidence: 99%