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  • PANGAEA  (69)
  • SPRINGER  (5)
  • Kiel  (2)
  • Springer International Publishing  (2)
  • AGU (American Geophysical Union)  (1)
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  • 1
    Keywords: Hochschulschrift
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (171 Seiten = 26 MB) , Karte, Graphen
    Edition: 2020
    Language: German
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  • 2
    Keywords: Hochschulschrift
    Type of Medium: Online Resource
    Pages: Online-Ressource (169 Seiten = 26 MB) , Diagramme, Karte
    Language: German
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  • 3
    Publication Date: 2014-05-05
    Description: Correlating metal to calcium (Me/Ca) ratios of marine biogenic carbonates, such as bivalve shells, to environmental parameters has led to contradictory results. Biogenic carbonates represent complex composites of organic and inorganic phases. Some elements are incorporated preferentially into organic phases, and others are incorporated into inorganic phases. Chemical sample pretreatment to remove the organic matrix prior to trace element analysis may increase the applicability of the investigated proxy relationship, though its efficiency and side effects remain questionable. We treated inorganic calcium carbonate and bivalve shell powder (Arctica islandica) with eight different chemical treatments including H2O2, NaOH, NaOCl, and acetone and analyzed the effects on (1) Me/Ca ratios (Sr/Ca, Mg/Ca, Ba/Ca, and Mn/Ca), (2) organic matter (≈N) content, and (3) mineralogical composition of the calcium carbonate. The different treatments (1) cause element and treatment specific changes of Me/Ca ratios, (2) vary in their efficiency to remove organic matter, and (3) can even alter the phase composition of the calcium carbonate (e.g., formation of Ca(OH)2 during NaOH treatment). Among all examined treatments there were none without any side effects. In addition, certain Me/Ca changes we observed upon chemical treatment contradict our expectations that lattice-bound elements (Sr and Ba) should not be affected, whereas non-lattice-bound elements (Mg and Mn) should decrease upon removal of the organic matrix. For instance, we observe that NaOCl treatment did not alter Sr/Ca ratios but caused unexpected changes of the Mg/Ca ratios. The latter demonstrates that the buildup of complex biogenic composites like the shell of Arctica islandica are still poorly understood.
    Type: Article , PeerReviewed
    Format: text
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  • 4
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    PANGAEA
    In:  Supplement to: Schalkhausser, Burgel; Bock, Christian; Stemmer, Kristina; Brey, Thomas; Pörtner, Hans-Otto; Lannig, Gisela (2013): Impact of ocean acidification on escape performance of the king scallop, Pecten maximus, from Norway. Marine Biology, 160(8), 1995-2006, https://doi.org/10.1007/s00227-012-2057-8
    Publication Date: 2023-05-12
    Description: The ongoing process of ocean acidification already affects marine life and, according to the concept of oxygen- and capacity limitation of thermal tolerance (OCLTT), these effects may be exacerbated at the boarders of the thermal tolerance window. We studied the effects of elevated CO2 concentrations on clapping performance and energy metabolism of the commercially important scallop Pecten maximus. Individuals were exposed for at least 30 days to 4°C (winter) or to 10°C (spring/summer) at either ambient (0.04 kPa, normocapnia) or predicted future PCO2 levels (0.11 kPa, hypercapnia). Cold (4°C) exposed groups revealed thermal stress exacerbated by PCO2 indicated by a high mortality overall and its increase from 55% under normocapnia to 90% under hypercapnia. We therefore excluded the 4°C groups from further experimentation. Scallops at 10°C showed impaired clapping performance following hypercapnic exposure. Force production was significantly reduced although the number of claps was unchanged between normo- and hypercapnia exposed scallops. The difference between maximal and resting metabolic rate (aerobic scope) of the hypercapnic scallops was significantly reduced compared to normocapnic animals, indicating a reduction in net aerobic scope. Our data confirm that ocean acidification narrows the thermal tolerance range of scallops resulting in elevated vulnerability to temperature extremes and impairs the animal's performance capacity with potentially detrimental consequences for its fitness and survival in the ocean of tomorrow.
    Keywords: BIOACID; Biological Impacts of Ocean Acidification
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 5
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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
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  • 6
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    PANGAEA
    In:  Supplement to: Krause-Nehring, Jacqueline; Brey, Thomas; Thorrold, Simon R (2012): Centennial records of lead contamination in northern Atlantic bivalves (Arctica islandica). Marine Pollution Bulletin, 64(2), 233-240, https://doi.org/10.1016/j.marpolbul.2011.11.028
    Publication Date: 2023-01-13
    Description: In the study, we establish centennial records of anthropogenic lead pollution at different locations in the North Atlantic (Iceland, USA, and Europe) by means of lead deposited in shells of the long-lived bivalve Arctica islandica. Due to local oceanographic and geological conditions we conclude that the lead concentrations in the Icelandic shell reflect natural influxes of lead into Icelandic waters. In comparison, the lead profile of the US shell is clearly driven by anthropogenic lead emissions transported from the continent to the ocean by westerly surface winds. Lead concentrations in the European North Sea shell, in contrast, are dominantly driven by local lead sources resulting in a much less conspicuous 1970s gasoline lead peak. In conclusion, the lead profiles of the three shells are driven by different influxes of lead, and yet, all support the applicability of Pb/Ca analyses of A. islandica shells to reconstruct location specific anthropogenic lead pollution.
    Keywords: Grab; GRAB; HELG; ICEL; Iceland; off Helgoland, North Sea; VIRG; Virginia, USA
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 7
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    PANGAEA
    In:  Supplement to: Brey, Thomas (2012): A multi-parameter artificial neural network model to estimate macrobenthic invertebrate productivity and production. Limnology and Oceanography-Methods, 10, 581-589, https://doi.org/10.4319/lom.2012.10.581
    Publication Date: 2023-01-13
    Description: I developed a new model for estimating annual production-to-biomass ratio P/B and production P of macrobenthic populations in marine and freshwater habitats. Self-learning artificial neural networks (ANN) were used to model the relationships between P/B and twenty easy-to-measure abiotic and biotic parameters in 1252 data sets of population production. Based on log-transformed data, the final predictive model estimates log(P/B) with reasonable accuracy and precision (r2 = 0.801; residual mean square RMS = 0.083). Body mass and water temperature contributed most to the explanatory power of the model. However, as with all least squares models using nonlinearly transformed data, back-transformation to natural scale introduces a bias in the model predictions, i.e., an underestimation of P/B (and P). When estimating production of assemblages of populations by adding up population estimates, accuracy decreases but precision increases with the number of populations in the assemblage.
    Type: Dataset
    Format: application/zip, 187.7 kBytes
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  • 8
    Publication Date: 2023-01-13
    Keywords: Age; AGE; Grab; GRAB; LA-ICP-MS Thermo Finnigan Element 2; Lead/Calcium ratio; Lead/Calcium ratio, standard deviation; Lead/Calcium ratio, standard error; VIRG; Virginia, USA
    Type: Dataset
    Format: text/tab-separated-values, 184 data points
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  • 9
    Publication Date: 2023-01-13
    Keywords: Age; AGE; Grab; GRAB; ICEL; Iceland; LA-ICP-MS Thermo Finnigan Element 2; Lead/Calcium ratio; Lead/Calcium ratio, standard deviation; Lead/Calcium ratio, standard error
    Type: Dataset
    Format: text/tab-separated-values, 188 data points
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  • 10
    Publication Date: 2023-01-13
    Keywords: Age; AGE; Grab; GRAB; HELG; LA-ICP-MS Thermo Finnigan Element 2; Lead/Calcium ratio; Lead/Calcium ratio, standard deviation; Lead/Calcium ratio, standard error; off Helgoland, North Sea
    Type: Dataset
    Format: text/tab-separated-values, 152 data points
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