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  • Arctic; ARK-XXXI/4; B_LANDER; Bottom lander; Counted; Date/Time of event; Elevation of event; Event label; FRAM; FRontiers in Arctic marine Monitoring; Latitude of event; Longitude of event; Macrobenthos; Macrofauna, number of species; Method/Device of event; Multicorer with television; NEW Polynya; Northeast Water Polynya; outflow shelf; Phylum; Polarstern; Polychaeta; PS109; PS109_105-1; PS109_107-1; PS109_115-3; PS109_122-1; PS109_125-2; PS109_129-1; PS109_139-2; PS109_139-3; PS109_154-1; PS109_19-4; PS109_36-3; PS109_45-3; PS109_45-4; PS109_68-1; PS109_69-1; PS109_76-2; PS109_84-2; PS109_85-1; PS109_93-2; Sample ID; sediment; species; species composition; Species distribution; Taxon/taxa; Taxon/taxa, unique identification; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); TVMUC; Weighted; Wet mass  (1)
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  • 1
    Publication Date: 2024-03-01
    Description: The samples have been collected with R/V Polarstern during PS109 between September and October 2017. Sediment was collected with a camera-equipped MUC (TV-MUC; diameter of 93mm; circle area 0.007 m2) or with a benthic lander (dimensions 20 cmx20 cm; square area 0.04 m²), sliced into 0-5 cm and 5-10 cm layers and subsequently sieved over a 500 µm mesh. Afterwards, the samples were fixed with 4 % seawater-buffered formaldehyde in Kautex bottles at room temperature. In the lab, samples were stained with Rose Bengal and macrofauna and foraminifera individuals were identified to the lowest taxonomic level possible, and the blotted wet formalin weight of macrofauna individuals was measured with a precision balance (DeltaRange XP56 or AX205; Mettler Toledo, Ohio, USA).
    Keywords: Arctic; ARK-XXXI/4; B_LANDER; Bottom lander; Counted; Date/Time of event; Elevation of event; Event label; FRAM; FRontiers in Arctic marine Monitoring; Latitude of event; Longitude of event; Macrobenthos; Macrofauna, number of species; Method/Device of event; Multicorer with television; NEW Polynya; Northeast Water Polynya; outflow shelf; Phylum; Polarstern; Polychaeta; PS109; PS109_105-1; PS109_107-1; PS109_115-3; PS109_122-1; PS109_125-2; PS109_129-1; PS109_139-2; PS109_139-3; PS109_154-1; PS109_19-4; PS109_36-3; PS109_45-3; PS109_45-4; PS109_68-1; PS109_69-1; PS109_76-2; PS109_84-2; PS109_85-1; PS109_93-2; Sample ID; sediment; species; species composition; Species distribution; Taxon/taxa; Taxon/taxa, unique identification; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); TVMUC; Weighted; Wet mass
    Type: Dataset
    Format: text/tab-separated-values, 3947 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2022-05-27
    Description: © The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Mazurkiewicz, M., Meyer-Kaiser, K., Sweetman, A. K., Renaud, P. E., & Wlodarska-Kowalczuk, M. Megabenthic standing stocks and organic carbon demand in a warming Arctic. Progress in Oceanography, 196, (2021): 102616, https://doi.org/10.1016/j.pocean.2021.102616.
    Description: Benthic megafauna (organisms large enough to be visible on seabed photographs) are regarded as important for carbon cycling in benthic habitats. They are a food source for many predators like fish and marine mammals and may stimulate carbon mineralization in sediment by bioturbation. However, few studies address these basic characteristics of megabenthos quantitatively. This study quantifies the spatial variability in standing stock (biomass) and functioning (secondary production, respiration and carbon demand) of benthic megafauna in fjords and on the continental shelf of Svalbard. Organisms were measured from sea bottom images to assess their biomass using length-weight relationships and volumetric methods, then respiration and production were estimated with empirical artificial neural network models. Significantly higher standing stock, secondary production, respiration, and carbon demand were found in fjords categorized as ‘cold’ (as defined by water temperature, prevailing water masses and ice-cover) than in the ‘warm’ ones. Cold fjords were dominated by Echinodermata, while in warm fjords Crustacea prevailed. All megafaunal community parameters were negatively correlated with bottom temperature. It was not possible to assess specific direct impacts of temperature, and indirect effects may be more relevant to our findings. These include temperature-driven changes in primary production, ice cover and ice-algae production or predation pressure from carnivores expanding their ranges northward. The progression of climate warming may affect megafaunal communities by reducing their biomass, production, and carbon demand and have profound effects on ecosystem functioning.
    Description: Financing was provided by the University Centre in Svalbard and Akvaplan-niva (to PER), by the National Science Centre grant number UMO-2016/23/B/NZ8/02410 (AbeFun), and statutory funds of the Institute of Oceanology, Polish Academy of Sciences (to MWK).
    Keywords: Secondary production ; Respiration ; Seabed photography ; Benthos ; Svalbard
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Location Call Number Limitation Availability
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