Magnitude of mesozooplankton variability: a case study from the Marginal Ice Zone of the Barents Sea in spring.

dc.contributor.authorBlachowiak-Samolyk, Katarzyna
dc.contributor.authorKwasniewski, Slawek
dc.contributor.authorHop, Haakon
dc.contributor.authorFalk-Petersen, Stig
dc.coverage.spatialMEDIAN LATITUDE: 76.852750 * MEDIAN LONGITUDE: 30.241500 * SOUTH-BOUND LATITUDE: 76.050000 * WEST-BOUND LONGITUDE: 26.880000 * NORTH-BOUND LATITUDE: 77.520000 * EAST-BOUND LONGITUDE: 33.530000 * DATE/TIME START: 1999-05-09T00:00:00 * DATE/TIME END: 1999-05-21T00:00:00 * MINIMUM ELEVATION: -317.0 m * MAXIMUM ELEVATION: -128.0 m
dc.date.accessioned2019-11-13T05:45:56Z
dc.date.available2019-11-13T05:45:56Z
dc.date.issued2008-02-19
dc.description.abstractZooplankton was studied on eight stations in the marginal ice zone (MIZ) of the Barents Sea, in May 1999, along two transects across the ice edge. On each station, physical background measurements and zooplankton samples were taken every 6 h over a 24 h period at five discrete depth intervals. Cluster analysis revealed separation of open water stations from all ice stations as well as high similarity level among replicates belonging to particular station. Based on five replicates per station, analysis of variance (ANOVA) confirmed significant differences (P < 0.05) in abundances of the main mesozooplankton taxa among stations. Relations between the zooplankton community and environmental parameters were established using redundancy analysis (CANOCO). In total, 55% of mesozooplankton variability within studied area was explained by eight variables with significant conditional effects: depth stratum, fluorescence, temperature, salinity, bottom depth, latitude, bloom situation, and ice concentration. GLM models supported supposition about clear and negative relationship between concentration of Oithona similis, and overall mesozooplankton diversity The analyses showed a dynamic relationship between mesozooplankton distribution and hydrological conditions on short-term scale. Furthermore, our study demonstrated that variability in the physical environment of dynamic MIZ of the Barents Sea has measurable effect on the Arctic pelagic ecosystem.
dc.formattext/tab-separated-values, 271 data points
dc.identifierhttps://doi.pangaea.de/10.1594/PANGAEA.807548
dc.identifierhttps://doi.org/10.1594/PANGAEA.807548
dc.identifier.citationBlachowiak-Samolyk, Katarzyna; Kwasniewski, Slawek; Hop, Haakon; Falk-Petersen, Stig (2008): Magnitude of mesozooplankton variability: a case study from the Marginal Ice Zone of the Barents Sea in spring. Journal of Plankton Research, 30(3), 311-323, https://doi.org/10.1093/plankt/fbn002
dc.identifier.urihttps://repository.geologyscience.ru/handle/123456789/6578
dc.language.isoen
dc.publisherPANGAEA
dc.rightsCC-BY-3.0: Creative Commons Attribution 3.0 Unported
dc.rightsAccess constraints: unrestricted
dc.sourceSupplement to: Blachowiak-Samolyk, Katarzyna; Kwasniewski, Slawek; Hop, Haakon; Falk-Petersen, Stig (2008): Magnitude of mesozooplankton variability: a case study from the Marginal Ice Zone of the Barents Sea in spring. Journal of Plankton Research, 30(3), 311-323, https://doi.org/10.1093/plankt/fbn002
dc.subjectBarents Sea
dc.subjectClassification
dc.subjectCTD, Seabird
dc.subjectCTD, SEA-BIRD SBE 911plus
dc.subjectCTD-R
dc.subjectFluorescence
dc.subjectIce coverage
dc.subjectInternational Polar Year (2007-2008)
dc.subjectIPY
dc.subjectLA99/2
dc.subjectLA99/2_A31
dc.subjectLA99/2_A33
dc.subjectLA99/2_A34
dc.subjectLA99/2_A35
dc.subjectLA99/2_B49
dc.subjectLA99/2_B50
dc.subjectLA99/2_B51
dc.subjectLA99/2_B52
dc.subjectLance
dc.subjectSalinity
dc.subjectSample ID
dc.subjectTemperature, water
dc.titleMagnitude of mesozooplankton variability: a case study from the Marginal Ice Zone of the Barents Sea in spring.
dc.title.alternative(Table 1) Physical oceanography during Lance cruise LA99/2 in the marginal ice zone of the Barents Sea
dc.typeDataset

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