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description Publicationkeyboard_double_arrow_right Article , Other literature type 2019Publisher:Elsevier BV Angelika Brandt; Thomas Soltwedel; Melissa Käß; Melissa Käß; Andrey Vedenin; Christiane Hasemann;Abstract This study compares the macrofaunal communities along two bathymetric transects (1000 – 2500 m water depth) in predominantly ice-covered western (offshore Greenland) and generally ice-free eastern (offshore Svalbard) regions of the Fram Strait. Material was collected using an USNEL 0.25 m2 box corer and all sediment samples were processed through a 500-μm sieve. A total of 1671 organisms from 169 species were found. Densities off Greenland were generally lower than those observed off Svalbard. On both sides of the Fram Strait, density, biomass and biodiversity generally decreased with increasing water depth. An exception was observed at the deepest station off Greenland (2500 m water depth), which was located within the Marginal Ice Zone. At this station, macrofaunal density was elevated (992 ± 281 ind. m−2) compared to the adjacent shallower sampling areas off Greenland (272 ± 208 ind. m−2 to 787 ± 172 ind. m−2) and the deeper stations (2000 and 2500 m water depth) off Svalbard (552 ± 155 ind. m−2 and 756 ± 182 ind. m−2). The most abundant species along both transects was the polychaete Galathowenia fragilis (off Greenland: 288 ind. m−2, off Svalbard: 740 ind. m−2). Sea ice coverage and water depth, as well as the associated food availability at the seafloor, seem to be crucial factors driving the macrofaunal community patterns. A strong pelago-benthic coupling is observed to be typical in Arctic deep-sea ecosystems, and is also confirmed by our study.
Deep Sea Research Pa... arrow_drop_down Deep Sea Research Part I Oceanographic Research PapersArticle . 2019 . Peer-reviewedLicense: CC BY NC NDData sources: CrossrefDeep Sea Research Part I Oceanographic Research PapersArticleLicense: CC BY NC NDData sources: UnpayWallElectronic Publication Information CenterArticle . 2019Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access RoutesGreen hybrid 11 citations 11 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Deep Sea Research Pa... arrow_drop_down Deep Sea Research Part I Oceanographic Research PapersArticle . 2019 . Peer-reviewedLicense: CC BY NC NDData sources: CrossrefDeep Sea Research Part I Oceanographic Research PapersArticleLicense: CC BY NC NDData sources: UnpayWallElectronic Publication Information CenterArticle . 2019Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.Research data keyboard_double_arrow_right Dataset 2014Publisher:PANGAEA Degen, Renate; Vedenin, Andrey; Gusky, Manuela; Boetius, Antje; Brey, Thomas;PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2014License: CC BYData sources: DatacitePANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2014License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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more_vert PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2014License: CC BYData sources: DatacitePANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2014License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.Research data keyboard_double_arrow_right Dataset 2018Publisher:PANGAEA Vedenin, Andrey; Gusky, Manuela; Gebruk, Andrey V; Kremenetskaia, Antonina; Rybakova, Elena; Boetius, Antje;PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2018License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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more_vert PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2018License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.Research data keyboard_double_arrow_right Other dataset type , Dataset 2019Publisher:PANGAEA Käß, Melissa; Vedenin, Andrey; Hasemann, Christiane; Brandt, Angelika; Soltwedel, Thomas;Macrofauna data was collected using a box corer (0.25m² sampling area). The sampled sediment from each box corer was divided into eight subsamples (pseudoreplicates). The uppermost 12 cm of these subsamples were analyzed. Each subsample was processed through a 500-µm mesh size sieve. After sieving, residuals were fixed with 100% ethanol and stored at room temperature. Macrofaunal organisms were identified to the lowest possible taxonomical level. Whenever identification to species level was not possible, the sample was identified to the next identifiable taxonomical category and assigned a putative species name (e.g., 'Hesionidae genus sp. 1', 'Hesionidae genus sp. 2'). Posterior fragments, exuviae, xenobionts, meiofauna taxa (Nematoda, Ostracoda, Harpacticoida) and empty tubes were excluded from the analysis. Biomass (blotted wet weight, ww) was determined by weighing each specimen. Shelled organisms, such as mollusks, were weight in their shells. Supplement to: Käß, Melissa; Vedenin, Andrey; Hasemann, Christiane; Brandt, Angelika; Soltwedel, Thomas (2019): Community structure of macrofauna in the deep Fram Strait: A comparison between two bathymetric gradients in ice-covered and ice-free areas. Deep Sea Research Part I: Oceanographic Research Papers, 103102
PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceOther dataset type . 2019License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceOther dataset type . 2019License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2019Publisher:Cold Spring Harbor Laboratory Funded by:EC | ABYSSEC| ABYSSRybakova, Elena; Kremenetskaia, Antonina; Vedenin, Andrey; Boetius, Antje; Gebruk, Andrey;pmid: 31310604
pmc: PMC6634375
AbstractQuantitative camera surveys of benthic megafauna were carried out during the expedition ARK-XXVII/3 to the Eastern Central Arctic basins with the research icebreaker Polarstern in summer 2012 (2 August-29 September). Nine transects were performed for the first time in deep-sea areas previously fully covered by ice, four of them in the Nansen Basin (3571-4066m) and five in the Amundsen Basin (4041-4384m). At seven of these stations benthic Agassiz trawls were taken near the camera tracks for species identification. The observed Arctic deep-sea megafauna was largely endemic. Several taxa showed a substantially greater depth or geographical range than previously assumed. Variations in the composition and structure of megabenthic communities were analysed and linked to several environmental variables, including state of the sea ice and phytodetritus supply to the seafloor. Three different types of communities were identified based on species dominating the biomass. Among these species were the actiniarian Bathyphellia margaritacea and the holothurians Elpidia heckeri and Kolga hyalina. Variations in megafaunal abundance were first of all related to the proximity to the marginal ice zone. Stations located closer to this zone were characterized by relatively high densities and biomass of B. margaritacea (mean 0.2-1.7 ind m-2; 0.2-1.5 g ww.m-2). The food supply was higher at these stations, as suggested by enhanced concentrations of pigments, organic carbon, bacterial cell abundances and porewater nutrients in the sediments. The fully ice-covered stations closer to the North Pole and partially under multi-year ice were characterized by lower concentrations of the same biogeochemical indicators for food supply. These stations nevertheless hosted relatively high density and biomass of the holothurians E. heckeri (mean 0.9-1.5 ind m-2; 0.3-0.4 g ww.m-2) or K. hyalina (mean 0.004-1.7 ind m-2; 0.01-3.5 g ww.m-2), which were observed to feed on large food falls of the sea-ice colonial diatom Melosira arctica. The link between the community structure of megafauna and the extent and condition of the Central Arctic sea-ice cover suggests that future climate changes may substantially affect deep ocean biodiversity.
bioRxiv arrow_drop_down http://dx.doi.org/10.1371/jour...Article . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert bioRxiv arrow_drop_down http://dx.doi.org/10.1371/jour...Article . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV Vedenin, A. A.; Kröncke, I.; Beck, Aaron J.; Bodenbinder, A.; Chrysagi, E.; Gräwe, U.; Kampmeier, Mareike; Greinert, Jens;pmid: 38070398
Coastal German waters contain about 1.6 million tons of dumped munition, mostly left after World Wars. This study investigated the benthic macrofauna around the 'Kolberger Heide' munition dumpsite (Baltic Sea). A total of 93 macrofauna grab samples were obtained in the proximity of the munition dumpsite and in reference areas. Environmental variables analysed included the latitude/longitude, depth, terrain ruggedness, sediment grainsize distribution, TNT concentration in the bottom water and distance to the centre of munition dumpsite. The overall abundance, biomass and diversity varied among these groups, though demonstrated no clear differences regarding the proximity to munition and modelled near-bottom dissolved TNT. Among individual taxa, however, a total of 16 species demonstrated significant correlation with TNT concentration. Moreover, TNT may serve as a predictor for the distribution of three species: molluscs Retusa truncatula, Varicorbula gibba and polychaete Spio goniocephala. Possible reasons for the species distribution including their biological traits are discussed.
OceanRep arrow_drop_down Marine Pollution BulletinArticle . 2024 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert OceanRep arrow_drop_down Marine Pollution BulletinArticle . 2024 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.Research data keyboard_double_arrow_right Collection , Dataset 2018Publisher:PANGAEA Funded by:EC | ABYSSEC| ABYSSVedenin, Andrey; Gusky, Manuela; Gebruk, Andrey V; Kremenetskaia, Antonina; Rybakova, Elena; Boetius, Antje;Permanent sea-ice cover and low primary productivity in the mostly ice-covered Central Arctic ocean basins result in significantly lower biomass and density of macrobenthos in the abyssal plains compared to the continental slopes. However, little is known on bathymetric and regional effects on the macrobenthos diversity. This study synthesizes new and available macrobenthos data to provide a baseline for future studies of the effects of Arctic change on macrofauna community composition in the Arctic basins. Samples collected during three expeditions (in 1993, 2012 and 2015) at 37 stations on the slope of the Barents and Laptev Seas and in the abyssal of the Nansen and Amundsen Basins in the depth range from 38 m to 4381 m were used for a quantitative analysis of species composition, abundance and biomass. Benthic communities clustered in five depth ranges across the slope and basin. A parabolic pattern of species diversity change with depth was found, with the diversity maximum for macrofauna at the shelf edge at depths of 100–300 m. This deviates from the typical species richness peak at mid-slope depths of 1500–3000 m in temperate oceans. Due to the limited availability of standardized benthos data, it remains difficult to assess if and how the significant sea-ice loss observed in the past decade has affected benthic community composition. The polychaete Ymerana pteropoda and the bryozoan Nolella sp. were found for the first time in the deep Nansen and Amundsen Basins. Supplement to: Vedenin, Andrey; Gusky, Manuela; Gebruk, Andrey V; Kremenetskaia, Antonina; Rybakova, Elena; Boetius, Antje (2018): Spatial distribution of benthic macrofauna in the Central Arctic Ocean. PLoS ONE, 13(10), e0200121
PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceCollection . 2018License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceCollection . 2018License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2018Publisher:Public Library of Science (PLoS) Funded by:EC | ABYSSEC| ABYSSAntje Boetius; Antje Boetius; Andrey Gebruk; Antonina Kremenetskaia; Elena Rybakova; Manuela Gusky; Andrey Vedenin;pmid: 30332418
pmc: PMC6192560
AbstractPermanent ice coverage and the low primary production in the mostly ice-covered Central Arctic ocean basins result in significantly lower biomass and density of macrobenthos in the abyssal plains compared to the continental slopes. However, little is known on bathymetric and regional effects on macrobenthos diversity. This study synthesizes new and available macrobenthos data to provide a baseline for future studies of the effects of Arctic change on macrofauna community composition in the Arctic basins. Samples taken during three expeditions (in 1993, 2012 and 2015) at 37 stations on the slope of the Barents and Laptev Seas and in the abyssal of the Nansen and Amundsen Basins in the depth range from 38 m to 4381 m were used for a quantitative analysis of species composition, abundance and biomass. Benthic communities clustered in five depth ranges across the slope and basin. A parabolic pattern of species diversity change with depth was found, with the diversity maximum for macrofauna at the shelf edge at depths of 100-300 m. This deviates from the typical species richness peak at mid-slope depths of 1500-3000 m in temperate oceans. Due to the limited availability of standardized benthos data, it remains difficult to assess the massive sea ice retreat observed in the past decade has affected benthic community composition. The polychaeteYmerana pteropodaand the bryozoanNolellasp. were found for the first time in the deep Nansen and Amundsen Basins, as a potential first sign of increasing productivity and carbon flux with the thinning ice.
bioRxiv arrow_drop_down http://dx.doi.org/https://doi....Article . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert bioRxiv arrow_drop_down http://dx.doi.org/https://doi....Article . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.Research data keyboard_double_arrow_right Dataset 2018Publisher:PANGAEA Rybakova, Elena; Kremenetskaia, Antonina; Vedenin, Andrey; Boetius, Antje; Gebruk, Andrey V;A photographic survey was carried out during the expedition ARK-XXVII/3 to the Nansen and Amundsen basins. The seafloor was photographed using a towed Ocean Floor Observation System (OFOS). Nine transects were performed: four in the Nansen Basin between 83-84°N and 18-110°E at depths 3571-4066 m, and five in the Amundsen Basin between 83-89°N and 56-131°E at depths 4041-4384 m. All images were analysed and stored using the image analysis program and database BIIGLE (www.BIIGLE.de). The laser points were used for calculation of the seafloor surface area on images. Visible megafauna was counted and identified to the lowest possible taxonomic level. The number of different taxa on each image was converted to individuals per m² (density). Total megafauna density (±standard deviation) was calculated for each transect. The mean taxa biomass per m² and the total megafauna biomass per m² were roughly estimated for each transect. The mean biomass (preserved wet weight) was calculated based on the wet weight of preserved individuals sampled by trawls. For taxa with insufficient trawl data the biomass was estimated using the biomass data of congeneric taxa or taxa with similar body shape; in some cases such taxa were excluded from analyses. The coverage of seafloor by algae aggregations and their remains was calculated based on sixty images at each transect using ImageJ software. Images for this analysis were chosen with equal spatial intervals depending on the total number of images within a transect. Several environmental parameters were measured at the ice stations.
PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2018License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2018License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Research data keyboard_double_arrow_right Collection , Dataset 2018Publisher:PANGAEA Funded by:EC | ABYSSEC| ABYSSRybakova, Elena; Kremenetskaia, Antonina; Vedenin, Andrey; Boetius, Antje; Gebruk, Andrey V;Quantitative camera surveys of benthic megafauna were carried out during the expedition ARK-XXVII/3 to the Eastern Central Arctic basins with the research icebreaker Polarstern in summer 2012 (2 August-29 September). Nine transects were performed for the first time in deep-sea areas previously fully covered by ice, four of them in the Nansen Basin (3571-4066m) and five in the Amundsen Basin (4041-4384m). At seven of these stations benthic Agassiz trawls were taken near the camera tracks for species identification. Supplement to: Rybakova, Elena; Kremenetskaia, Antonina; Vedenin, Andrey; Boetius, Antje; Gebruk, Andrey V (2019): Deep-sea megabenthos communities of the Eurasian Central Arctic are influenced by ice-cover and sea-ice algal falls. PLoS ONE, 14(7), e0211009
PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceCollection . 2018License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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more_vert PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceCollection . 2018License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article , Other literature type 2019Publisher:Elsevier BV Angelika Brandt; Thomas Soltwedel; Melissa Käß; Melissa Käß; Andrey Vedenin; Christiane Hasemann;Abstract This study compares the macrofaunal communities along two bathymetric transects (1000 – 2500 m water depth) in predominantly ice-covered western (offshore Greenland) and generally ice-free eastern (offshore Svalbard) regions of the Fram Strait. Material was collected using an USNEL 0.25 m2 box corer and all sediment samples were processed through a 500-μm sieve. A total of 1671 organisms from 169 species were found. Densities off Greenland were generally lower than those observed off Svalbard. On both sides of the Fram Strait, density, biomass and biodiversity generally decreased with increasing water depth. An exception was observed at the deepest station off Greenland (2500 m water depth), which was located within the Marginal Ice Zone. At this station, macrofaunal density was elevated (992 ± 281 ind. m−2) compared to the adjacent shallower sampling areas off Greenland (272 ± 208 ind. m−2 to 787 ± 172 ind. m−2) and the deeper stations (2000 and 2500 m water depth) off Svalbard (552 ± 155 ind. m−2 and 756 ± 182 ind. m−2). The most abundant species along both transects was the polychaete Galathowenia fragilis (off Greenland: 288 ind. m−2, off Svalbard: 740 ind. m−2). Sea ice coverage and water depth, as well as the associated food availability at the seafloor, seem to be crucial factors driving the macrofaunal community patterns. A strong pelago-benthic coupling is observed to be typical in Arctic deep-sea ecosystems, and is also confirmed by our study.
Deep Sea Research Pa... arrow_drop_down Deep Sea Research Part I Oceanographic Research PapersArticle . 2019 . Peer-reviewedLicense: CC BY NC NDData sources: CrossrefDeep Sea Research Part I Oceanographic Research PapersArticleLicense: CC BY NC NDData sources: UnpayWallElectronic Publication Information CenterArticle . 2019Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access RoutesGreen hybrid 11 citations 11 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Deep Sea Research Pa... arrow_drop_down Deep Sea Research Part I Oceanographic Research PapersArticle . 2019 . Peer-reviewedLicense: CC BY NC NDData sources: CrossrefDeep Sea Research Part I Oceanographic Research PapersArticleLicense: CC BY NC NDData sources: UnpayWallElectronic Publication Information CenterArticle . 2019Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Research data keyboard_double_arrow_right Dataset 2014Publisher:PANGAEA Degen, Renate; Vedenin, Andrey; Gusky, Manuela; Boetius, Antje; Brey, Thomas;PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2014License: CC BYData sources: DatacitePANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2014License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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more_vert PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2014License: CC BYData sources: DatacitePANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2014License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Research data keyboard_double_arrow_right Dataset 2018Publisher:PANGAEA Vedenin, Andrey; Gusky, Manuela; Gebruk, Andrey V; Kremenetskaia, Antonina; Rybakova, Elena; Boetius, Antje;PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2018License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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more_vert PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2018License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Research data keyboard_double_arrow_right Other dataset type , Dataset 2019Publisher:PANGAEA Käß, Melissa; Vedenin, Andrey; Hasemann, Christiane; Brandt, Angelika; Soltwedel, Thomas;Macrofauna data was collected using a box corer (0.25m² sampling area). The sampled sediment from each box corer was divided into eight subsamples (pseudoreplicates). The uppermost 12 cm of these subsamples were analyzed. Each subsample was processed through a 500-µm mesh size sieve. After sieving, residuals were fixed with 100% ethanol and stored at room temperature. Macrofaunal organisms were identified to the lowest possible taxonomical level. Whenever identification to species level was not possible, the sample was identified to the next identifiable taxonomical category and assigned a putative species name (e.g., 'Hesionidae genus sp. 1', 'Hesionidae genus sp. 2'). Posterior fragments, exuviae, xenobionts, meiofauna taxa (Nematoda, Ostracoda, Harpacticoida) and empty tubes were excluded from the analysis. Biomass (blotted wet weight, ww) was determined by weighing each specimen. Shelled organisms, such as mollusks, were weight in their shells. Supplement to: Käß, Melissa; Vedenin, Andrey; Hasemann, Christiane; Brandt, Angelika; Soltwedel, Thomas (2019): Community structure of macrofauna in the deep Fram Strait: A comparison between two bathymetric gradients in ice-covered and ice-free areas. Deep Sea Research Part I: Oceanographic Research Papers, 103102
PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceOther dataset type . 2019License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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more_vert PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceOther dataset type . 2019License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2019Publisher:Cold Spring Harbor Laboratory Funded by:EC | ABYSSEC| ABYSSRybakova, Elena; Kremenetskaia, Antonina; Vedenin, Andrey; Boetius, Antje; Gebruk, Andrey;pmid: 31310604
pmc: PMC6634375
AbstractQuantitative camera surveys of benthic megafauna were carried out during the expedition ARK-XXVII/3 to the Eastern Central Arctic basins with the research icebreaker Polarstern in summer 2012 (2 August-29 September). Nine transects were performed for the first time in deep-sea areas previously fully covered by ice, four of them in the Nansen Basin (3571-4066m) and five in the Amundsen Basin (4041-4384m). At seven of these stations benthic Agassiz trawls were taken near the camera tracks for species identification. The observed Arctic deep-sea megafauna was largely endemic. Several taxa showed a substantially greater depth or geographical range than previously assumed. Variations in the composition and structure of megabenthic communities were analysed and linked to several environmental variables, including state of the sea ice and phytodetritus supply to the seafloor. Three different types of communities were identified based on species dominating the biomass. Among these species were the actiniarian Bathyphellia margaritacea and the holothurians Elpidia heckeri and Kolga hyalina. Variations in megafaunal abundance were first of all related to the proximity to the marginal ice zone. Stations located closer to this zone were characterized by relatively high densities and biomass of B. margaritacea (mean 0.2-1.7 ind m-2; 0.2-1.5 g ww.m-2). The food supply was higher at these stations, as suggested by enhanced concentrations of pigments, organic carbon, bacterial cell abundances and porewater nutrients in the sediments. The fully ice-covered stations closer to the North Pole and partially under multi-year ice were characterized by lower concentrations of the same biogeochemical indicators for food supply. These stations nevertheless hosted relatively high density and biomass of the holothurians E. heckeri (mean 0.9-1.5 ind m-2; 0.3-0.4 g ww.m-2) or K. hyalina (mean 0.004-1.7 ind m-2; 0.01-3.5 g ww.m-2), which were observed to feed on large food falls of the sea-ice colonial diatom Melosira arctica. The link between the community structure of megafauna and the extent and condition of the Central Arctic sea-ice cover suggests that future climate changes may substantially affect deep ocean biodiversity.
bioRxiv arrow_drop_down http://dx.doi.org/10.1371/jour...Article . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access RoutesGreen gold 32 citations 32 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert bioRxiv arrow_drop_down http://dx.doi.org/10.1371/jour...Article . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV Vedenin, A. A.; Kröncke, I.; Beck, Aaron J.; Bodenbinder, A.; Chrysagi, E.; Gräwe, U.; Kampmeier, Mareike; Greinert, Jens;pmid: 38070398
Coastal German waters contain about 1.6 million tons of dumped munition, mostly left after World Wars. This study investigated the benthic macrofauna around the 'Kolberger Heide' munition dumpsite (Baltic Sea). A total of 93 macrofauna grab samples were obtained in the proximity of the munition dumpsite and in reference areas. Environmental variables analysed included the latitude/longitude, depth, terrain ruggedness, sediment grainsize distribution, TNT concentration in the bottom water and distance to the centre of munition dumpsite. The overall abundance, biomass and diversity varied among these groups, though demonstrated no clear differences regarding the proximity to munition and modelled near-bottom dissolved TNT. Among individual taxa, however, a total of 16 species demonstrated significant correlation with TNT concentration. Moreover, TNT may serve as a predictor for the distribution of three species: molluscs Retusa truncatula, Varicorbula gibba and polychaete Spio goniocephala. Possible reasons for the species distribution including their biological traits are discussed.
OceanRep arrow_drop_down Marine Pollution BulletinArticle . 2024 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access RoutesGreen 2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert OceanRep arrow_drop_down Marine Pollution BulletinArticle . 2024 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Research data keyboard_double_arrow_right Collection , Dataset 2018Publisher:PANGAEA Funded by:EC | ABYSSEC| ABYSSVedenin, Andrey; Gusky, Manuela; Gebruk, Andrey V; Kremenetskaia, Antonina; Rybakova, Elena; Boetius, Antje;Permanent sea-ice cover and low primary productivity in the mostly ice-covered Central Arctic ocean basins result in significantly lower biomass and density of macrobenthos in the abyssal plains compared to the continental slopes. However, little is known on bathymetric and regional effects on the macrobenthos diversity. This study synthesizes new and available macrobenthos data to provide a baseline for future studies of the effects of Arctic change on macrofauna community composition in the Arctic basins. Samples collected during three expeditions (in 1993, 2012 and 2015) at 37 stations on the slope of the Barents and Laptev Seas and in the abyssal of the Nansen and Amundsen Basins in the depth range from 38 m to 4381 m were used for a quantitative analysis of species composition, abundance and biomass. Benthic communities clustered in five depth ranges across the slope and basin. A parabolic pattern of species diversity change with depth was found, with the diversity maximum for macrofauna at the shelf edge at depths of 100–300 m. This deviates from the typical species richness peak at mid-slope depths of 1500–3000 m in temperate oceans. Due to the limited availability of standardized benthos data, it remains difficult to assess if and how the significant sea-ice loss observed in the past decade has affected benthic community composition. The polychaete Ymerana pteropoda and the bryozoan Nolella sp. were found for the first time in the deep Nansen and Amundsen Basins. Supplement to: Vedenin, Andrey; Gusky, Manuela; Gebruk, Andrey V; Kremenetskaia, Antonina; Rybakova, Elena; Boetius, Antje (2018): Spatial distribution of benthic macrofauna in the Central Arctic Ocean. PLoS ONE, 13(10), e0200121
PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceCollection . 2018License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceCollection . 2018License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2018Publisher:Public Library of Science (PLoS) Funded by:EC | ABYSSEC| ABYSSAntje Boetius; Antje Boetius; Andrey Gebruk; Antonina Kremenetskaia; Elena Rybakova; Manuela Gusky; Andrey Vedenin;pmid: 30332418
pmc: PMC6192560
AbstractPermanent ice coverage and the low primary production in the mostly ice-covered Central Arctic ocean basins result in significantly lower biomass and density of macrobenthos in the abyssal plains compared to the continental slopes. However, little is known on bathymetric and regional effects on macrobenthos diversity. This study synthesizes new and available macrobenthos data to provide a baseline for future studies of the effects of Arctic change on macrofauna community composition in the Arctic basins. Samples taken during three expeditions (in 1993, 2012 and 2015) at 37 stations on the slope of the Barents and Laptev Seas and in the abyssal of the Nansen and Amundsen Basins in the depth range from 38 m to 4381 m were used for a quantitative analysis of species composition, abundance and biomass. Benthic communities clustered in five depth ranges across the slope and basin. A parabolic pattern of species diversity change with depth was found, with the diversity maximum for macrofauna at the shelf edge at depths of 100-300 m. This deviates from the typical species richness peak at mid-slope depths of 1500-3000 m in temperate oceans. Due to the limited availability of standardized benthos data, it remains difficult to assess the massive sea ice retreat observed in the past decade has affected benthic community composition. The polychaeteYmerana pteropodaand the bryozoanNolellasp. were found for the first time in the deep Nansen and Amundsen Basins, as a potential first sign of increasing productivity and carbon flux with the thinning ice.
bioRxiv arrow_drop_down http://dx.doi.org/https://doi....Article . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access RoutesGreen gold 22 citations 22 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert bioRxiv arrow_drop_down http://dx.doi.org/https://doi....Article . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Research data keyboard_double_arrow_right Dataset 2018Publisher:PANGAEA Rybakova, Elena; Kremenetskaia, Antonina; Vedenin, Andrey; Boetius, Antje; Gebruk, Andrey V;A photographic survey was carried out during the expedition ARK-XXVII/3 to the Nansen and Amundsen basins. The seafloor was photographed using a towed Ocean Floor Observation System (OFOS). Nine transects were performed: four in the Nansen Basin between 83-84°N and 18-110°E at depths 3571-4066 m, and five in the Amundsen Basin between 83-89°N and 56-131°E at depths 4041-4384 m. All images were analysed and stored using the image analysis program and database BIIGLE (www.BIIGLE.de). The laser points were used for calculation of the seafloor surface area on images. Visible megafauna was counted and identified to the lowest possible taxonomic level. The number of different taxa on each image was converted to individuals per m² (density). Total megafauna density (±standard deviation) was calculated for each transect. The mean taxa biomass per m² and the total megafauna biomass per m² were roughly estimated for each transect. The mean biomass (preserved wet weight) was calculated based on the wet weight of preserved individuals sampled by trawls. For taxa with insufficient trawl data the biomass was estimated using the biomass data of congeneric taxa or taxa with similar body shape; in some cases such taxa were excluded from analyses. The coverage of seafloor by algae aggregations and their remains was calculated based on sixty images at each transect using ImageJ software. Images for this analysis were chosen with equal spatial intervals depending on the total number of images within a transect. Several environmental parameters were measured at the ice stations.
PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2018License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2018License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Research data keyboard_double_arrow_right Collection , Dataset 2018Publisher:PANGAEA Funded by:EC | ABYSSEC| ABYSSRybakova, Elena; Kremenetskaia, Antonina; Vedenin, Andrey; Boetius, Antje; Gebruk, Andrey V;Quantitative camera surveys of benthic megafauna were carried out during the expedition ARK-XXVII/3 to the Eastern Central Arctic basins with the research icebreaker Polarstern in summer 2012 (2 August-29 September). Nine transects were performed for the first time in deep-sea areas previously fully covered by ice, four of them in the Nansen Basin (3571-4066m) and five in the Amundsen Basin (4041-4384m). At seven of these stations benthic Agassiz trawls were taken near the camera tracks for species identification. Supplement to: Rybakova, Elena; Kremenetskaia, Antonina; Vedenin, Andrey; Boetius, Antje; Gebruk, Andrey V (2019): Deep-sea megabenthos communities of the Eurasian Central Arctic are influenced by ice-cover and sea-ice algal falls. PLoS ONE, 14(7), e0211009
PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceCollection . 2018License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceCollection . 2018License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.
