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  • PANGAEA  (9)
  • Wiley-Blackwell
  • 2010-2014  (9)
  • 2014  (7)
  • 2010  (2)
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  • 2010-2014  (9)
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  • 1
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    PANGAEA
    In:  Supplement to: Degen, Renate; Vedenin, Andrey; Gusky, Manuela; Boetius, Antje; Brey, Thomas (2015): Patterns and trends of macrobenthic abundance, biomass and production in the deep Arctic Ocean. Polar Research, 34(1), 24008, https://doi.org/10.3402/polar.v34.24008
    Publication Date: 2023-01-13
    Description: The few existing studies on macrobenthic communities of the deep Arctic Ocean report low standing stocks, and confirm a gradient with declining biomass from the slopes down to the basins as commonly reported for deep-sea benthos. In this study we have further investigated the relationship of faunal abundance (N), biomass (B) as well as community production (P) with water depth, geographical latitude and sea ice concentration. The underlying dataset combines legacy data from the past 20 years, as well as recent field studies selected according to standardized quality control procedures. Community P/B and production were estimated using the multi-parameter ANN model developed by Brey (2012). We could confirm the previously described negative relationship of water depth and macrofauna standing stock in the Arctic deep-sea. Furthermore, the sea-ice cover increasing with high latitudes, correlated with decreasing abundances of down to 〈 200 individuals/m**2, biomasses of 〈 65 mg C/m**2 and P of 〈 75 mg C/m**2/y. Stations under influence of the seasonal ice zone (SIZ) showed much higher standing stock and P means between 400 - 1400 mg C/m**2/y; even at depths up to 3700 m. We conclude that particle flux is the key factor structuring benthic communities in the deep Arctic ocean, explaining both the low values in the ice-covered Arctic basins and the high values along the SIZ.
    Type: Dataset
    Format: application/zip, 4 datasets
    Location Call Number Limitation Availability
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  • 2
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    PANGAEA
    In:  Supplement to: Tremblay, Nelly; Werner, Thorsten; Hünerlage, Kim; Buchholz, Friedrich; Abele, Doris; Meyer, Bettina; Brey, Thomas (2014): Euphausiid respiration model revamped: Latitudinal and seasonal shaping effects on krill respiration rates. Ecological Modelling, 291, 233-241, https://doi.org/10.1016/j.ecolmodel.2014.07.031
    Publication Date: 2023-02-16
    Description: Euphausiids constitute major biomass component in shelf ecosystems and play a fundamental role in the rapid vertical transport of carbon from the ocean surface to the deeper layers during their daily vertical migration (DVM). DVM depth and migration patterns depend on oceanographic conditions with respect to temperature, light and oxygen availability at depth, factors that are highly dependent on season in most marine regions. Changes in the abiotic conditions also shape Euphausiid metabolism including aerobic and anaerobic energy production. Here we introduce a global krill respiration model which includes the effect of latitude (LAT), the day of the year of interest (DoY), and the number of daylight hours on the day of interest (DLh), in addition to the basal variables that determine ectothermal oxygen consumption (temperature, body mass and depth) in the ANN model (Artificial Neural Networks). The newly implemented parameters link space and time in terms of season and photoperiod to krill respiration. The ANN model showed a better fit (r**2=0.780) when DLh and LAT were included, indicating a decrease in respiration with increasing LAT and decreasing DLh. We therefore propose DLh as a potential variable to consider when building physiological models for both hemispheres. We also tested for seasonality the standard respiration rate of the most common species that were investigated until now in a large range of DLh and DoY with Multiple Linear Regression (MLR) or General Additive model (GAM). GAM successfully integrated DLh (r**2= 0.563) and DoY (r**2= 0.572) effects on respiration rates of the Antarctic krill, Euphausia superba, yielding the minimum metabolic activity in mid-June and the maximum at the end of December. Neither the MLR nor the GAM approach worked for the North Pacific krill Euphausia pacifica, and MLR for the North Atlantic krill Meganyctiphanes norvegica remained inconclusive because of insufficient seasonal data coverage. We strongly encourage comparative respiration measurements of worldwide Euphausiid key species at different seasons to improve accuracy in ecosystem modelling.
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 350.8 kBytes
    Location Call Number Limitation Availability
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  • 3
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    PANGAEA
    In:  Supplement to: Abele, Doris; Kruppe, Melanie; Philipp, Eva E R; Brey, Thomas (2010): Mantle cavity water oxygen partial pressure (Po-2) in marine molluscs aligns with lifestyle. Canadian Journal of Fisheries and Aquatic Sciences, 67(6), 977-986, https://doi.org/10.1139/F10-035
    Publication Date: 2023-12-13
    Description: Marine invertebrates with open circulatory system establish low and constant oxygen partial pressure (Po2) around their tissues. We hypothesized that as a first step towards maintenance of low haemolymph and tissue oxygenation, the Po2 in molluscan mantle cavity water should be lowered against normoxic (21 kPa) seawater Po2, but balanced high enough to meet the energetic requirements in a given species. We recorded Po2 in mantle cavity water of five molluscan species with different lifestyles, two pectinids (Aequipecten opercularis, Pecten maximus), two mud clams (Arctica islandica, Mya arenaria), and a limpet (Patella vulgata). All species maintain mantle cavity water oxygenation below normoxic Po2. Average mantle cavity water Po2 correlates positively with standard metabolic rate (SMR): highest in scallops and lowest in mud clams. Scallops show typical Po2 frequency distribution, with peaks between 3 and 10 kPa, whereas mud clams and limpets maintain mantle water Po2 mostly 〈5 kPa. Only A. islandica and P. vulgata display distinguishable temporal patterns in Po2 time series. Adjustment of mantle cavity Po2 to lower than ambient levels through controlled pumping prevents high oxygen gradients between bivalve tissues and surrounding fluid, limiting oxygen flux across the body surface. The patterns of Po2 in mantle cavity water correspond to molluscan ecotypes.
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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  • 4
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    PANGAEA
    In:  Supplement to: Begum, Salma; Basova, Larisa; Heilmayer, Olaf; Philipp, Eva E R; Abele, Doris; Brey, Thomas (2010): Growth and energy budget models of the bivalve Arctica islandica at six different sites in the Northeast Atlantic realm. Journal of Shellfish Research, 29(1), 107-115, https://doi.org/10.2983/035.029.0103
    Publication Date: 2023-12-13
    Description: We compared lifetime and population energy budgets of the extraordinary long-lived ocean quahog Arctica islandica from 6 different sites - the Norwegian coast, Kattegat, Kiel Bay, White Sea, German Bight, and off northeast Iceland - covering a temperature and salinity gradient of 4-10°C (annual mean) and 25-34, respectively. Based on von Bertalanffy growth models and size-mass relationships, we computed organic matter production of body (PSB) and of shell (PSS), whereas gonad production (PG) was estimated from the seasonal cycle in mass. Respiration (R) was computed by a model driven by body mass, temperature, and site. A. islandica populations differed distinctly in maximum life span (40 y in Kiel Bay to 197 y in Iceland), but less in growth performance (phi' ranged from 2.41 in the White Sea to 2.65 in Kattegat). Individual lifetime energy throughput, as approximated by assimilation, was highest in Iceland (43,730 kJ) and lowest in the White Sea (313 kJ). Net growth efficiency ranged between 0.251 and 0.348, whereas lifetime energy investment distinctly shifted from somatic to gonad production with increasing life span; PS/PG decreased from 0.362 (Kiel Bay, 40 y) to 0.031 (Iceland, 197 y). Population annual energy budgets were derived from individual budgets and estimates of population mortality rate (0.035/y in Iceland to 0.173/y in Kiel Bay). Relationships between budget ratios were similar on the population level, albeit with more emphasis on somatic production; PS/ PG ranged from 0.196 (Iceland) to 2.728 (White Sea), and P/B ranged from 0.203-0.285/y. Life span is the principal determinant of the relationship between budget parameters, whereas temperature affects net growth efficiency only. In the White Sea population, both growth performance and net growth efficiency of A. islandica were lowest. We presume that low temperature combined with low salinity represent a particularly stressful environment for this species.
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2024-07-01
    Keywords: Abundance per area; Amundsen Basin; ARK-VIII/3; Author(s); Biomass, energy; Biomass, wet mass per area; Biomass as carbon, total per area; Body mass, mean; Carbon production per area; Class; Date/Time of event; Depth, bathymetric; DEPTH, sediment/rock; Energy production per area; Event label; Family; Gakkel Ridge, Arctic Ocean; Genus; Giant box corer; GKG; Identification; Infraclass; Infraorder; Kingdom; Latitude of event; Location; Lomonosov Ridge, Arctic Ocean; Longitude of event; Makarov Basin; Morris Jesup Rise; Nansen Basin; Order; Phylum; Polarstern; PS19/150; PS19/151; PS19/155; PS19/165; PS19/166; PS19/181; PS19/182; PS19/186; PS19/196; PS19/198; PS19/200; PS19/204; PS19/206; PS19/210; PS19/214; PS19/216; PS19/218; PS19/220; PS19/222; PS19/226; PS19/239; PS19/241; PS19/245; PS19/246; PS19/249; PS19 ARCTIC91; PS2157-7; PS2158-1; PS2159-7; PS2161-5; PS2162-1; PS2163-5; PS2164-7; PS2165-6; PS2166-4; PS2167-4; PS2168-4; PS2170-1; PS2171-1; PS2172-5; PS2174-7; PS2175-6; PS2176-7; PS2177-7; PS2178-6; PS2179-4; PS2180-1; PS2181-1; PS2182-6; PS2183-5; PS2184-4; PS2185-3; PS2186-6; PS2187-6; PS2189-6; PS2190-6; PS2191-4; PS2192-1; PS2193-2; PS2194-1; PS2195-4; PS2196-2; PS2198-1; PS2199-5; PS2200-3; PS2201-2; PS2202-11; PS2205-7; PS2209-3; PS2210-1; PS2212-1; PS2213-1; PS2214-1; Rank; Rate of production; Species; Subclass; Subfamily; Subgenus; Suborder; Subphylum; Subspecies; Superfamily; Superorder; Temperature, water; Yermak Plateau
    Type: Dataset
    Format: text/tab-separated-values, 5341 data points
    Location Call Number Limitation Availability
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  • 6
    Publication Date: 2024-07-01
    Keywords: Abundance per area; ARK-XXVII/2; Author(s); BC; Biomass, energy; Biomass, wet mass per area; Biomass as carbon, total per area; Body mass, mean; Box corer; Carbon production per area; Class; Date/Time of event; Depth, bathymetric; DEPTH, sediment/rock; Energy production per area; Event label; Family; Genus; Giant box corer; GKG; HGIV; Identification; Infraclass; Kingdom; Latitude of event; Location; Longitude of event; N1; N2; N3; N4; N5; North Greenland Sea; Order; Phylum; Polarstern; PS80; PS80/165-9; PS80/174-1; PS80/176-10; PS80/177-1; PS80/185-6; PS80/186-4; PS80/188-4; PS80/191-3; PS80/194-3; PS80/195-3; PS80/197-1; Rank; Rate of production; S1; see further details; Species; Subclass; Subfamily; Subgenus; Suborder; Subphylum; Superfamily; Superorder; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3567 data points
    Location Call Number Limitation Availability
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  • 7
    Publication Date: 2024-07-01
    Keywords: Abundance per area; ARK-XIII/2; Author(s); Biomass, energy; Biomass, wet mass per area; Biomass as carbon, total per area; Body mass, mean; Carbon production per area; Class; Date/Time of event; Depth, bathymetric; DEPTH, sediment/rock; East Greenland continental slope; Energy production per area; Event label; Family; Genus; Giant box corer; GKG; Identification; Infraclass; Infraorder; Kingdom; Latitude of event; Location; Longitude of event; Order; Phylum; Polarstern; PS2830-6; PS2831-5; PS2832-12; PS2833-5; PS2834-6; PS2835-5; PS2836-6; PS2837-6; PS2838-9; PS2839-5; PS2840-4; PS2843-2; PS2847-3; PS2849-7; PS2851-2; PS2853-9; PS2854-2; PS2855-7; PS2859-10; PS2860-7; PS2861-11; PS2868-5; PS44; PS44/057; PS44/058; PS44/059; PS44/060; PS44/062; PS44/063; PS44/064; PS44/065; PS44/067; PS44/068; PS44/069; PS44/072A; PS44/076; PS44/079; PS44/082; PS44/084; PS44/085; PS44/087; PS44/091; PS44/092; PS44/093A; PS44/100; Rank; Rate of production; see further details; Species; Subclass; Subfamily; Subgenus; Suborder; Subphylum; Superfamily; Superorder; Temperature, water; W Spitzbergen; Yermak Plateau
    Type: Dataset
    Format: text/tab-separated-values, 5272 data points
    Location Call Number Limitation Availability
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  • 8
    Publication Date: 2024-07-01
    Keywords: Abundance per area; Arctic Ocean; ARK-XXVII/3; Author(s); B_LANDER; Biomass, energy; Biomass, wet mass per area; Biomass as carbon, total per area; Body mass, mean; Bottom lander; Carbon production per area; Class; Date/Time of event; Depth, bathymetric; DEPTH, sediment/rock; Energy production per area; Event label; Family; Genus; Identification; Infraclass; Kingdom; Latitude of event; Location; Longitude of event; MG; Multiboxcorer; Order; Phylum; Polarstern; PS80/221-2; PS80/229-2; PS80/236-3; PS80/241-1; PS80/251-3; PS80/262-2; PS80/278-1; PS80/334-2; PS80/339-1; PS80/355-1; PS80/368-1; PS80/371-1; PS80 IceArc; Rank; Rate of production; see further details; Species; Subclass; Subfamily; Suborder; Subphylum; Superfamily; Superorder; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 1513 data points
    Location Call Number Limitation Availability
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  • 9
    Publication Date: 2014-08-13
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
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