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  • 108; 111; 118; 122; 139; 146; 147; 153; 154; 158; 159; 165; 175; 184; 190; 194; 58GS2019107; 58GS2019107_146-MPT; 58GS2019107_154-MPT; 58GS2019107_158-MPT; 58GS2019107_165-MPT; 58GS2019107_175-MPT; 58GS2019107_184-MPT; 58GS2019107_190-MPT; 58GS2019107_194-MPT; 58GS2020106; 58GS2020106_108-MPT; 58GS2020106_111-MPT; 58GS2020106_118-MPT; 58GS2020106_122-MPT; 58GS2020106_139-MPT; 58GS2020106_147-MPT; 58GS2020106_153-MPT; 58GS2020106_159-MPT; Abundance per volume; Biomass, wet mass per volume; Calculated; Counted whole; Date/Time of event; Date/Time of event 2; DEPTH, water; Depth, water, bottom/maximum; Depth, water, top/minimum; Discard catch; Event label; G. O. Sars (2003); Index; Latitude of event; Latitude of event 2; Longitude of event; Longitude of event 2; macroplankton; Macroplankton trawl; Mass; Mean values; mesopelagic; micronekton; MPT; Norwegian Sea; Number of individuals; Optional event label; Serial number; Subsample, wet mass; SUMMER; Sustainable Management of Mesopelagic Resources; Taxon/taxa; Taxon/taxa, unique identification; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Total catch; trawl catch; Type; VID; Visual identification; Water volume, filtered; Weighted  (1)
  • Prey distribution  (1)
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  • 1
    Publication Date: 2022-05-26
    Description: © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Melle, W., Klevjer, T., Strand, E., Wiebe, P. H., Slotte, A., & Huse, G. Fine-scale observations of physical and biological environment along a herring feeding migration route. Deep-Sea Research Part II: Topical Studies in Oceanography, 180, (2020): 104845, doi:10.1016/j.dsr2.2020.104845.
    Description: We observed herring horizontal and vertical distribution during feeding migration along a 128 km transect across the Arctic front of the Norwegian and Iceland seas, in early June, in relation to its physical, chemical and biological environment, distribution of prey organisms and pelagic and mesopelagic competitors. The Norwegian Spring Spawning herring is one of the largest and economically most important stocks of pelagic fish in the world and understanding what controls its feeding migration is, and has been for centuries, a major research question that also has major implications for management. High resolution ecosystem data were obtained by hull mounted multi-frequency acoustics and a towed platform undulating between 10 and 400 m equipped with multi-frequency acoustics, temperature, salinity and fluorescence sensors, an Optical Plankton Counter and a Video Plankton Recorder. Additional sampling was done by MOCNESS, Macroplankton trawl, and CTD equipped with water bottles for temperature, salinity, nutrients and chlorophyll at discrete stations along the transect. Biological characteristics and stomach content of the herring were obtained from samples at discrete trawl stations. The Arctic front proved to be an important transitional zone in zooplankton biomass, abundance and diversity. Phenology of phyto- and zooplankton also changed across the front, being somewhat delayed on the cold side. The herring were distributed all along the transect showing a shallow distribution on the warm side and both deep and shallow on the cold side, not clearly related to light and time of the day. The herring stomach content was higher on the cold side. There was no significant pattern in average age, weight, or body length of the herring along the transect. The herring were present and fed in the area of the transect during the time when the overwintering generation of Calanus finmarchicus dominated, before the development of the new generation of the year. We suggest that the phenology of C. finmarchicus can be an important driver of the herring feeding migration. While prey-availability was higher on the Arctic side of the front, light conditions for visual feeding at depth were probably better on the Atlantic side. The herring did not show classical dial vertical migration, but its prey did, and the herring's prey were probably available within the upper 100 m during the course of a 24 h cycle. With a general westward direction of migration, the herring along the transect moved towards lower temperatures and temperature did not seem to be a probable driver for migration. We conclude that fine-scale studies of herring migration and feeding can increase our understanding of the migratory processes and add to our understanding of large-scale distributional patterns, changes therein, and herring trophodynamics and ecological role. The fine-resolution parameters can also be important as input to ecosystem models.
    Description: We would also like to acknowledge the funding from Euro-BASIN, EU FP7, Grant agreement No 264933, HARMES, Research Council of Norway project number 280546 and MEESO, EU H2020 research and innovation programme, Grant Agreement No 817669.
    Keywords: Herring ; Feeding migration ; Environment ; Prey distribution ; Fine-scale observation
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-02-15
    Description: We provide here a curated set of data containing standardized catch biomasses and abundances of key macroplankton and mesopelagic fish taxonomically identified to species or genera or the nearest possible taxonomic group collected by a Macroplankton trawl (~6 m x 6 m mouth opening, non-graded mesh with 3 mm light-opening) from cruises in the Norwegian Sea during the International Ecosystem Survey in the Nordic Seas (IESNS) in May to June 2019 and 2020. The collected material is obtained from standardized V-shaped hauls down to a maximum depth of about 1000 m, although some shallower V-hauls are included either to look at the vertically migrating mesopelagic organisms that enter the epipelagic domain during nighttime hours, or because of depth restrictions due to shallow bottom topography. This dataset holds the biomass and abundance data of species or taxonomically identified categories. Filtered water volume (m³) was determined by calculating the towed horizontal distance (m) from when the trawl was deployed until maximum depth (m) and similarly when retrieved. Then, knowing the maximum depth of the trawl, by trigonometric calculations the trawl path (hypothenuse) during downcast and upcast were derived. The filtered volume was calculated by multiplying the summed towpath distance (m) by the nominal trawl opening of 36 m².
    Keywords: 108; 111; 118; 122; 139; 146; 147; 153; 154; 158; 159; 165; 175; 184; 190; 194; 58GS2019107; 58GS2019107_146-MPT; 58GS2019107_154-MPT; 58GS2019107_158-MPT; 58GS2019107_165-MPT; 58GS2019107_175-MPT; 58GS2019107_184-MPT; 58GS2019107_190-MPT; 58GS2019107_194-MPT; 58GS2020106; 58GS2020106_108-MPT; 58GS2020106_111-MPT; 58GS2020106_118-MPT; 58GS2020106_122-MPT; 58GS2020106_139-MPT; 58GS2020106_147-MPT; 58GS2020106_153-MPT; 58GS2020106_159-MPT; Abundance per volume; Biomass, wet mass per volume; Calculated; Counted whole; Date/Time of event; Date/Time of event 2; DEPTH, water; Depth, water, bottom/maximum; Depth, water, top/minimum; Discard catch; Event label; G. O. Sars (2003); Index; Latitude of event; Latitude of event 2; Longitude of event; Longitude of event 2; macroplankton; Macroplankton trawl; Mass; Mean values; mesopelagic; micronekton; MPT; Norwegian Sea; Number of individuals; Optional event label; Serial number; Subsample, wet mass; SUMMER; Sustainable Management of Mesopelagic Resources; Taxon/taxa; Taxon/taxa, unique identification; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Total catch; trawl catch; Type; VID; Visual identification; Water volume, filtered; Weighted
    Type: Dataset
    Format: text/tab-separated-values, 2854 data points
    Location Call Number Limitation Availability
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