The critical first year of life of walleye pollock (Gadus chalcogrammus) in the eastern Bering Sea: Implications for recruitment and future research

Duffy‐Anderson, Janet T.; Barbeaux, Steven J.; Farley, Ed; Heintz, Ron A.; Horne, John K.; Parker‐Stetter, Sandra L.; Petrik, Colleen M.; Siddon, Elizabeth; Smart, Tracey I.

doi:10.1016/j.dsr2.2015.02.001

Cited by 22 publications

(13 citation statements)

References 123 publications

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“…Based on previous studies and common hypotheses, we assumed that the vertical distribution of age-0 Walleye Pollock represented a response to environmental factors, but an HR survey that sampled as many environmental and biological factors as possible was needed to refine our understanding. We also recognized that vertical distribution could be related to ontogeny, particularly since the timing of the transition from near-surface to demersal waters by EBS age-0 Walleye Pollock is not well understood (Duffy-Anderson et al 2015).…”

Section: Discussionmentioning

confidence: 99%

“…There is currently no standard methodology to determine age in juvenile Walleye Pollock; therefore, we were unable to estimate growth rates or to evaluate the influence of daily age on our results. Previous efforts to estimate the daily ages of age-0 Walleye Pollock have been inconsistent or unable to identify daily growth rings (reviewed by Duffy-Anderson et al 2015). It is possible that differences in FL among locations could be due to different cohorts being advected away from spawning locations (cf.…”

Section: Aggregation Attributesmentioning

confidence: 99%

“…Previous efforts to estimate the daily ages of age-0 Walleye Pollock have been inconsistent or unable to identify daily growth rings (reviewed by Duffy-Anderson et al 2015). It is possible that differences in FL among locations could be due to different cohorts being advected away from spawning locations (cf.…”

Section: Aggregation Attributesmentioning

confidence: 99%

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Vertical Distribution of Age‐0 Walleye Pollock during Late Summer: Environment or Ontogeny?

et al. 2015

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Variability in the late‐summer vertical distribution of age‐0 Walleye Pollock Gadus chalcogrammus in the southeastern Bering Sea has been attributed to a range of physical and biological factors. Using acoustic data (38 and 120 kHz) collected during the 2010 Bering Aleutian Salmon International Survey (BASIS) and dedicated high‐resolution surveys (HR1 and HR2), we evaluated whether late‐summer distributions could be explained by water column properties (environment) or whether sampling was likely occurring during the ontogenetic shift of age‐0 Walleye Pollock from near‐surface habitat to demersal habitat (ontogeny). Neither water column attributes (temperature, relative temperature, salinity, dissolved oxygen, and density gradient) nor the acoustic density of zooplankton prey strongly predicted the acoustic estimates of age‐0 Walleye Pollock vertical presence or density. At 6 of 10 paired BASIS–HR1 stations, age‐0 Walleye Pollock shifted deeper in the water column between BASIS sampling and the HR1 sampling conducted 8–34 d later. There were no consistent differences in FL (P > 0.05 for 2 of 4 station pairs) or energy density (P > 0.05 for 3 station pairs) between age‐0 Walleye Pollock caught in near‐surface trawls and those caught in midwater trawls. Our data suggest that the observation of both near‐surface and midwater age‐0 Walleye Pollock during late summer is likely due to an ontogenetic habitat shift; however, the causative factor was not clear given the limited sample sizes and explanatory variables. The timing of the ontogenetic shift, which appears to have begun before August 18, 2010, can ultimately affect survey strategies, and knowledge of this timing can provide additional insight into factors affecting the overwinter survival of age‐0 Walleye Pollock. Received December 5, 2014; accepted May 10, 2015

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Section: Discussionmentioning

confidence: 99%

Section: Aggregation Attributesmentioning

confidence: 99%

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Vertical Distribution of Age‐0 Walleye Pollock during Late Summer: Environment or Ontogeny?

et al. 2015

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“…CC BY 4.0 License. (Mueter and Litzow, 2008;Stabeno et al, 2012) and recruitment of higher trophic level predators (Mueter et al, 2011;Duffy-Anderson et al, 2016) Buckley et al, 2009;Lauth et al, 2011, for details of data collection and postprocessing).…”

Section: The Cold Poolmentioning

confidence: 99%

A coupled pelagic-benthic-sympagic biogeochemical model for the Bering Sea: documentation and validation of the BESTNPZ model (v2019.08.23) within a high-resolution regional ocean model

Kearney¹,

Hermann²,

Cheng³

et al. 2019

Preprint

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Abstract. The Bering Sea is a highly productive ecosystem, supporting a variety of fish, seabird, and marine mammal populations as well as large commercial fisheries. Due to its unique shelf geometry and the presence of seasonal sea ice, the processes controlling productivity in the Bering Sea ecosystem span the pelagic water column, the benthic sea floor, and the sympagic sea ice environments. The BESTNPZ model has been developed to simulate the lower trophic level processes throughout this region. Here, we present a version of this lower trophic level model coupled to a three-dimensional regional ocean model for the Bering Sea. We quantify the model's ability to reproduce key physical features of biological importance as well as its skill in capturing the seasonal and interannual variations in primary and secondary productivity. We find that the ocean model demonstrates considerable skill in replicating observed horizontal and vertical patterns of water movement, mixing, and stratification, as well as the temperature and salinity signatures of various water masses throughout the Bering Sea. It is also able to capture the mean seasonal cycle of primary production observed on the data-rich eastern middle shelf. However, its ability to replicate domain-wide patterns in nutrient cycling, primary production, and zooplankton community composition, particularly with respect to the interannual variations that are important in a fisheries management context, remains limited.

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“…The recent rebound was associated with strong year classes in 2008 and 2012 . Mechanisms controlling pollock recruitment are complex and poorly understood, but likely involve both physical and biological factors, as well as interactions among them (Duffy-Anderson et al, 2016;Hunt et al, 2011;Jurado-Molina & Livingston, 2002a;Mueter, Ladd, Palmer, & Norcross, 2006;Sigler et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Multispecies biomass dynamics models reveal effects of ocean temperature on predation of juvenile pollock in the eastern Bering Sea

Uchiyama

Mueter

Kruse

2019

Fisheries Oceanography

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Walleye pollock (Gadus chalcogrammus) supports one of the largest commercial fisheries in the world. Juvenile pollock are important forage fish in the eastern Bering Sea (EBS) ecosystem, often representing the largest fraction in the diets of major Bering Sea piscivores. Large variability in the EBS pollock stock biomass in recent years has been attributed primarily to fluctuations in recruitment. It has been hypothesized that predation rates on forage fishes increase when the cold pool (a body of cold water < 2°C) is extensive and covers much of the middle continental shelf, which tends to concentrate larger predatory fishes in the outer shelf and slope regions. In contrast, young pollock appear to tolerate colder temperatures than older fish and can stay in the cold pool, thereby reducing predation. We used a multispecies modeling approach to examine the effects of the cold pool size on predation of juvenile pollock. We found that predation on age‐1 pollock by age‐3+ pollock decreased, and predation on age‐1 and age‐2 pollock by arrowtooth flounder increased with increasing bottom temperature, which was used as a proxy for the cold pool size. These results suggest that the cold pool creates spatial separation between juvenile pollock and arrowtooth flounder, but not between adult and juvenile pollock. The model developed in this study could be used to examine the effects of other covariates on interspecific interactions, help explain observed changes in fish communities, and understand implications of climate change on ecosystems and their productivity.

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The critical first year of life of walleye pollock (Gadus chalcogrammus) in the eastern Bering Sea: Implications for recruitment and future research

Cited by 22 publications

References 123 publications

Vertical Distribution of Age‐0 Walleye Pollock during Late Summer: Environment or Ontogeny?

Vertical Distribution of Age‐0 Walleye Pollock during Late Summer: Environment or Ontogeny?

A coupled pelagic-benthic-sympagic biogeochemical model for the Bering Sea: documentation and validation of the BESTNPZ model (v2019.08.23) within a high-resolution regional ocean model

Multispecies biomass dynamics models reveal effects of ocean temperature on predation of juvenile pollock in the eastern Bering Sea

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