Developing an acoustic survey of euphausiids to understand trophic interactions in the Bering Sea ecosystem

Ressler, Patrick H.; Robertis, Alex De; Warren, Joseph D.; Smith, Joy N.; Kotwicki, Stan

doi:10.1016/j.dsr2.2012.02.015

Cited by 81 publications

(59 citation statements)

References 64 publications

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“…Field studies of pollock in the Bering Sea designed for stock assessment have focused on the regional scale , Ressler et al 2012, while laboratory efforts (Ryer & Olla 1992,1995,1998) and some field programs (Swartzman et al 1994 have examined individual pollock schools. To scale up from studies of individuals and schools to data measured in largescale surveys, it is critical to identify the intervening scales (Wiens 1985).…”

Section: Discussionmentioning

confidence: 99%

“…Spatial distributions of pollock are highly variable at scales ranging from tens of meters (Swartzman et al 1999a) to hundreds of kilometers (Ressler et al 2012), likely a result of a combination of biological and physical factors such as growth potential, prey availability, advection, and predator avoidance (Bailey 1989, Ciannelli 2002. At the largest scales, the distribution of young-of-the-year pollock is affected by the spawning patterns in adult fish (Bacheler et al 2012), as well as the survival and recruitment of the resulting offspring (Bailey et al 2005).…”

Section: Introductionmentioning

confidence: 99%

“…The distributions of prey (Bailey 1989), competitors (Ressler et al 2012), and predators (Ryer & Olla 1998) affect spatial patterns in juvenile pollock. These factors can lead to differential growth and survival, resulting in heterogeneous distributions of individuals .…”

Section: Introductionmentioning

confidence: 99%

“…schools (Swartzman et al 1994(Swartzman et al , 1999a or broad-scale distributions (e.g. Ressler et al 2012). Our second objective was to understand how the spatial heterogeneity of juvenile pollock was affected by the physical and biological environmental drivers across scales, both vertically and horizontally.…”

Section: Introductionmentioning

confidence: 99%

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Nested scales of spatial heterogeneity in juvenile walleye pollock Theragra chalcogramma in the southeastern Bering Sea

Benoit‐Bird¹,

McIntosh²,

Heppell³

2013

Mar. Ecol. Prog. Ser.

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We sought to characterize the distribution of juvenile walleye pollock Theragra chalcogramma in an area of intense predator−prey interactions and to describe habitat features that lead to their observed distributions. The distribution of juvenile walleye pollock around the Pribilof Islands in the southeastern Bering Sea in 2008 and 2009 was patchy, at spatial scales ranging from a few meters to several 10s of kilometers. These patches, and the spaces between them, were hierarchically nested with small, dense patches clustered together into larger aggregations which were further aggregated over the region sampled. Vertical physical habitat structure affected the vertical distribution of juvenile pollock similarly in both years. However, despite largely similar physical characteristics in both years, there were significant differences between years in the horizontal distribution, patch structure, and abundance of juvenile pollock. In neither year did biological or physical environment characteristics explain the broad-scale variability in the horizontal distribution of juvenile pollock, but at small horizontal scales a behavioral component was evident, with fish changing their group coherence as conditions changed despite consistent group sizes. It is clear that if we are to understand the processes that drive the distribution of juvenile pollock, we must consider multiple scales of heterogeneity. Only then will we begin to understand the role of pollock in the ecosystem and be able to predict the consequences of large sources of variability such as climate change, a critical question in the rapidly changing physical and biological environment of the Bering Sea.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Nested scales of spatial heterogeneity in juvenile walleye pollock Theragra chalcogramma in the southeastern Bering Sea

Benoit‐Bird¹,

McIntosh²,

Heppell³

2013

Mar. Ecol. Prog. Ser.

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“…During the warm period in the Bering Sea from 2001 to 2005, ice retreat came early and the production of C. marshallae/glacialis was limited . If these copepods, and the euphausiid Thysanoessa raschii are, as is believed, dependent on sea ice or at least a bloom in cold water (Baier and Napp, 2003;Drobysheva, 1994;Ressler et al, 2012), then warming of the northern Bering Sea sufficient to remove seasonal ice cover might result in failure of pollock recruitment, as happened in the southeastern Bering Sea during the warm period of Hunt et al, 2011).…”

Section: Mechanisms Suggesting Decreases In Productivitymentioning

confidence: 99%

The Barents and Chukchi Seas: Comparison of two Arctic shelf ecosystems

Hunt

Blanchard

Boveng

et al. 2013

Journal of Marine Systems

135

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Measuring the distribution, abundance, and biovolume of zooplankton in an oligotrophic freshwater lake with a 710 kHz scientific echosounder

Warren

Leach

Williamson

2016

Limnology & Ocean Methods

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Acoustic surveys of the distribution and abundance of freshwater zooplankton were conducted in Lake Giles, an oligotrophic freshwater lake. Volume backscatter data from a 710 kHz scientific echosounder were converted to high-resolution spatial and temporal numerical density estimates of small zooplankton. Vertical net tows of a 153 lm mesh closing bongo net at multiple depth intervals provided both identification of the types and sizes (0.5-1.5 mm length) of crustacean zooplankton present in the lake as well as an independent measurement of zooplankton numerical density. Net and acoustic estimates of zooplankton abundance, biovolume, and distribution were very similar. The improved resolution of the high-frequency acoustic sampling provides insight into several aspects of freshwater zooplankton ecology including: separation of migrating and non-migrating zooplankton, high resolution measurements of in situ zooplankton biovolume, calculation of in situ vertical velocities of migrating zooplankton, and fine-scale (sub-meter) horizontal and vertical zooplankton distribution during daytime, nighttime, and vertical migration events. These methods allow for more detailed and accurate estimates of zooplankton distribution than traditional net sampling methods can provide, including determining the total abundance of organisms within a specific habitat. They also provide higher resolution data in both space and time of smaller zooplankton taxa than have been measured previously in freshwater ecosystems.

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Developing an acoustic survey of euphausiids to understand trophic interactions in the Bering Sea ecosystem

Cited by 81 publications

References 64 publications

Nested scales of spatial heterogeneity in juvenile walleye pollock Theragra chalcogramma in the southeastern Bering Sea

Nested scales of spatial heterogeneity in juvenile walleye pollock Theragra chalcogramma in the southeastern Bering Sea

The Barents and Chukchi Seas: Comparison of two Arctic shelf ecosystems

Measuring the distribution, abundance, and biovolume of zooplankton in an oligotrophic freshwater lake with a 710 kHz scientific echosounder

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