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  • 1
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    PANGAEA
    In:  Supplement to: Ye, Ying; Völker, Christoph (2017): On the Role of Dust-Deposited Lithogenic Particles for Iron Cycling in the Tropical and Subtropical Atlantic. Global Biogeochemical Cycles, 31(10), 1543-1558, https://doi.org/10.1002/2017GB005663
    Publication Date: 2023-01-13
    Description: Lithogenic material deposited as dust is one of the major sources of trace metals to the ocean, particularly in the tropical and subtropical Atlantic. On the other hand, it can also act as a scavenging surface for iron. Here we studied this double role of lithogenic material in the marine iron cycle by adding a new scheme for describing particle dynamics into a global biogeochemistry and ecosystem model including particle aggregation and disaggregation of two particle size classes as well as scavenging on both organic and lithogenic particles. Considering the additional scavenging of iron on lithogenic particles, the modelled dissolved iron concentration is reduced significantly in the tropical and subtropical Atlantic, bringing the model much closer to observations. This underlines the necessity to consider the double role of dust particles as iron source and sink in studies on the marine iron cycle in high dust regions and with changing dust fluxes.
    Type: Dataset
    Format: application/zip, 11.9 MBytes
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  • 2
    Publication Date: 2023-01-30
    Description: The global marine iron cycle has been modeled using REcoM2 (Regulated Ecosystem Model 2) coupled with the ocean circulation model MITgcm (MIT General Circulation Model). A general description of the model can be found in the supporting material for Hauck et al. 2013. In the simulations producing this data set, the organic complexation of iron was made dependent on seawater pH and concentration of dissolved organic matter. With this parameterization, the effect of pH change on the iron cycle and the biological feedback to the iron cycle have been examined through the pathway of ligand binding. In this data set, model output of dissolved iron (DFe), dissolved organic carbon (DOC), stability constants of ligands, free Fe concentration and net primary production (NPP) are included. Four different simulations are considered: R_std (standard), R_constL (with constant 1 nM ligand concentration), R_progL (with one prognostic ligand) and R_ph (with future pH field).
    Keywords: biogeochemistry; File content; File format; File name; File size; iron; modelling; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 40 data points
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  • 3
    Publication Date: 2024-03-15
    Description: Acidification (OA), a global threat to the world's oceans, is projected to significantly grow if CO2 continues to be emitted into the atmosphere at high levels. This will result in a slight decrease in pH. Since the latter is a logarithmic scale of acidity, the higher acidic seawater is expected to have a tremendous impact on marine living resources in the long-term. An 8-week laboratory experiment was designed to assess the impact of the projected pH in 2100 and beyond on fish survival, health, growth, and fish meat quality. Two projected scenarios were simulated with the control treatment, in triplicates. The control treatment had a pH of 8.10, corresponding to a pCO2 of 321.37 ± 11.48 µatm. The two projected scenarios, named Predict_A and Predict_B, had pH values of 7.80-pCO2 = 749.12 ± 27.03 and 7.40-pCO2 = 321.37 ± 11.48 µatm, respectively. The experiment was preceded by 2 weeks of acclimation. After the acclimation, 20 juvenile black sea breams (Acanthopagrus schlegelii) of 2.72 ± 0.01 g were used per tank. This species has been selected mainly due to its very high resistance to diseases and environmental changes, assuming that a weaker fish resistance will also be susceptibly affected. In all tanks, the fish were fed with the same commercial diet. The seawater's physicochemical parameters were measured daily. Fish samples were subjected to physiological, histological, and biochemical analyses. Fish growth, feeding efficiency, protein efficiency ratio, and crude protein content were significantly decreased with a lower pH. Scanning electron microscopy revealed multiple atrophies of microvilli throughout the small intestine's brush border in samples from Predict_A and Predict_B. This significantly reduced nutrient absorption, resulting in significantly lower feed efficiency, lower fish growth, and lower meat quality. As a result of an elevated pCO2 in seawater, the fish eat more than normal but grow less than normal. Liver observation showed blood congestion, hemorrhage, necrosis, vacuolation of hepatocytes, and an increased number of Kupffer cells, which characterize liver damage. Transmission electron microscopy revealed an elongated and angular shape of the mitochondrion in the liver cell, with an abundance of peroxisomes, symptomatic of metabolic acidosis.
    Keywords: Acanthopagrus schlegelii; Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Behaviour; Bicarbonate ion; Bicarbonate ion, standard deviation; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2calc; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Category; Chordata; Coast and continental shelf; Condition factor; Condition factor, standard deviation; Containers and aquaria (20-1000 L or 〈 1 m**2); Feed conversion efficiency; Feed conversion efficiency, standard deviation; Feed conversion ratio; Feed conversion ratio, standard deviation; Feed intake; Feed intake, standard deviation; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gain; Gain, standard deviation; Growth/Morphology; Hepatosomatic index; Hepatosomatic index, standard deviation; Laboratory experiment; Mass; Mass, standard deviation; Mortality/Survival; Nekton; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Other studied parameter or process; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Potentiometric; Potentiometric titration; Protein efficiency ratio; Protein efficiency ratio, standard deviation; Proximate composition; Proximate composition, standard deviation; Registration number of species; Salinity; Salinity, standard deviation; Single species; Species; Specific growth rate; Specific growth rate, standard deviation; Survival; Survival rate, standard deviation; Temperate; Temperature, water; Temperature, water, standard deviation; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 651 data points
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  • 4
    Publication Date: 2024-04-20
    Description: In this study, we used MITgcm-REcoM2 to simulate the stepwise glacial-interglacial atmospheric pCO2 change. A general description of the model can be found in the supporting material for Hauck et al. 2013. There are seven simulations included in this dataset: two control runs for interglacial and glacial conditions (IG_ctl, G_ctl); three region-specific sensitivity runs(IG_Gso, IG_Gna, IG_Gns); and two simulations regarding the glacial iron fertilization in the Southern Ocean. Dissolved Inorganic Carbon (DIC) and Export Production in all runs are included in this study, and the potential temperature (THETA), salinity (SALT), meridional velocity (VVEL), sea ice concentration(SIarea), air-sea surface pCO2 (dpCO2surface) difference are available in IG_ctl, IG_Gso, IG_Gna, IG_Gns, and G_ctl.
    Keywords: Binary Object; biogeochemical modeling; Carbon cycle; Glacial – Interglacial; modeling; Paleo Modelling; PalMod
    Type: Dataset
    Format: text/tab-separated-values, 7 data points
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  • 5
    ISSN: 1432-1211
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Medicine
    Notes: Abstract Major histocompatibility complex (Mhc) class II Ab genes have evolved into three distinct lineages. While lineage 2 alleles differ from lineage 1 alleles by the insertion of a retroposon in intron 2, the basis for the extremely large intron 2 in lineage 3 alleles has heretofore been undetermined. In this report, we demonstrate by nucleotide sequencing that the genomic sequences of prototypic alleles from all three lineages diverge significantly and that lineage 3 is derived from lineage 2 by two insertional events in intron 2. One insert, composed of a member of B1 short interspersed repetitive elements (SINEs), occurs 508 base pairs (bp) 3′ of exon 2, and the other, 1141 bp 3′ of exon 2 within the retroposon that distinguishes lineage 2 from lineage 1. To assess the evolutionary stability of these lineages and the extent of ancestral polymorphisms of Ab within Mus species, we extended our restriction site polymorphism analysis to include 86 alleles from 120 independently derived H2 haplotypes from 12 separate species and subspecies of Mus. A phylogenetic tree revealing the relationships of these Ab alleles with respect to restriction site polymorphisms, but excluding the retroposon insertions, demonstrated that these lineages have distinctive genomic structures beyond the retroposon polymorphisms. In summary, these mouse Ab genes were produced from successive retroposon insertion events. Lineage 1 and 2 were detected in a variety of Mus species, including Mus caroli, indicating that these lineages diverged more than 2 million years ago. Lineage 3 alleles were found only in the Mus musculus subspecies, suggesting that it diverged from lineage 2 more recently. These results indicate that all three lineages of Ab have persisted through several speciation events in the genus Mus.
    Type of Medium: Electronic Resource
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  • 6
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    In:  EPIC3Luncheon Seminar of State Key Laboratory of Marine Environmental Science at Xiamen University, Xiamen, China, 2017-04-24-2017-04-24
    Publication Date: 2017-09-06
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 7
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    Wiley
    In:  EPIC3Global Biogeochemical Cycles, Wiley, ISSN: 0886-6236
    Publication Date: 2017-10-27
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 8
    Publication Date: 2018-09-10
    Description: Stable carbon isotopes have now been implemented in REcoM (Hauck et al., 2016), the marine ecosystem and biogeochemistry model applied at AWI. In an ocean-only setup imple- mented in the MITgcm 3D-OGCM we here show how changing boundary conditions influence the simulated δ13C fields. Different to most other marine biogeochemistry models, RECOM does not rely on fixed stoichiometric ratios of phytoplankton organic matter. Instead, the composition of phytoplankton organic matter is calculated as a response to light, tempera- ture and nutrient supply, which allows for assessing potential stoichiometric shifts between the past and present. We study different parametrisations of biogenic carbon-isotopic fractiona- tion of marine phytoplankton during photosynthesis (Laws versus Rau) and their influence on model–data comparisons for the Last Glacial Maximum and the Holocene. Furthermore, we perform simulations, in which the climatic boundary and initial condi- tions (SST, wind, precipitation, runoff, salinity) and / or the dust fluxes are prescribed for preindustrial or LGM conditions based on previous studies (Zhang et al., 2014; Völker & Köh- ler, 2013; Albani et al., 2016). This gives us four simulations, from which we will analyse how especially dust via iron fertilization of the marine biology versus mainly physical (ocean overturning) changes will influence simulated δ13C fields. In doing so we will quantify how relevant the silicic acid leakage hypothesis and ocean overturning changes are for glacial δ13C.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 9
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    In:  EPIC3NSFC Project Kick-off Meeting, Hangzhou, China, 2018-03-10-2018-03-12Hangzhou, China
    Publication Date: 2018-11-08
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 10
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    PERGAMON-ELSEVIER SCIENCE LTD
    In:  EPIC3Geochimica et Cosmochimica Acta, PERGAMON-ELSEVIER SCIENCE LTD, 260, pp. 49-61, ISSN: 0016-7037
    Publication Date: 2019-07-18
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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