High-resolution Quaternary record of marine organic carbon content in the hemipelagic sediments of the Japan Sea from bromine counts measured ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Arisa Seki, Ryuji Tada, Shunsuke Kurokawa, Masafumi Murayama

ABSTRACT

The marine organic carbon content in sediments is a useful tool for reconstructing past productivity in the ocean. Bromine has been proposed as a useful proxy for marine organic carbon, since bromine is more concentrated in marine organic matter compared to terrestrial organic matter. Here, we present a high-resolution Quaternary record of marine organic carbon in the hemipelagic sediments of the Japan Sea obtained during Integrated Ocean Drilling Program (IODP) Expedition 346. We measured the bromine content in the sediments using an XRF core scanner (ITRAX). The total organic carbon content, total nitrogen, and stable carbon isotope values were also measured for discrete samples from the same sediments. The total organic carbon/total nitrogen ratio and the stable carbon isotope ratio of the total organic carbon are used to estimate the marine organic carbon content within the total organic carbon. The Br counts and marine organic carbon content show a high correlation, which we used to construct a calibration equation of the marine organic carbon content from the Br counts. Using the calibration equation, we reconstructed the changes in the marine organic carbon content during the Quaternary with a time resolution of ~ 50 years using sediment cores from IODP Site U1424 in the east central Japan Sea. The method to estimate the marine organic carbon content from the Br counts measured by the XRF core scanner proposed in this paper will be a useful tool to reconstruct the organic carbon content with high resolution and high speed. More... »

PAGES

1

References to SciGraph publications

  • 2016-12. Transitional changes in microfossil assemblages in the Japan Sea from the Late Pliocene to Early Pleistocene related to global climatic and local tectonic events in PROGRESS IN EARTH AND PLANETARY SCIENCE
  • 2016-12. Preface for the article collection “Land–Ocean Linkages under the Influence of the Asian Monsoon” in PROGRESS IN EARTH AND PLANETARY SCIENCE
  • 2016-12. Evolution and variability of the Asian monsoon and its potential linkage with uplift of the Himalaya and Tibetan Plateau in PROGRESS IN EARTH AND PLANETARY SCIENCE
  • 2015-07-22. Twenty Years of XRF Core Scanning Marine Sediments: What Do Geochemical Proxies Tell Us? in MICRO-XRF STUDIES OF SEDIMENT CORES
  • 1983-10. Abyssal circulation in the Japan Sea in JOURNAL OF ENGINEERING PHYSICS AND THERMOPHYSICS
  • 2018-12. High-resolution and high-precision correlation of dark and light layers in the Quaternary hemipelagic sediments of the Japan Sea recovered during IODP Expedition 346 in PROGRESS IN EARTH AND PLANETARY SCIENCE
  • 2015. Prediction of Geochemical Composition from XRF Core Scanner Data: A New Multivariate Approach Including Automatic Selection of Calibration Samples and Quantification of Uncertainties in MICRO-XRF STUDIES OF SEDIMENT CORES
  • 2000-03. The natural production of organobromine compounds in ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
  • 1988-04. A regularity in trace element contents of marine zooplankton species in MARINE BIOLOGY
  • 2017-12. Cenozoic sedimentary records of climate-tectonic coupling in the Western Himalaya in PROGRESS IN EARTH AND PLANETARY SCIENCE
  • 2002-12. Water, Salt, Phosphorus and Nitrogen Budgets of the Japan Sea in JOURNAL OF OCEANOGRAPHY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s40645-018-0244-z

    DOI

    http://dx.doi.org/10.1186/s40645-018-0244-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1111250457


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0402", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Geochemistry", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/04", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Earth Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Shinshu University", 
              "id": "https://www.grid.ac/institutes/grid.263518.b", 
              "name": [
                "Faculty of Science, Shinshu University, 3-1-1 Asahi, Matsumoto, 390-8621, Nagano, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Seki", 
            "givenName": "Arisa", 
            "id": "sg:person.013040074734.72", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013040074734.72"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Tokyo", 
              "id": "https://www.grid.ac/institutes/grid.26999.3d", 
              "name": [
                "Graduate School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-0033, Tokyo, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tada", 
            "givenName": "Ryuji", 
            "id": "sg:person.011646545305.51", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011646545305.51"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Tokyo", 
              "id": "https://www.grid.ac/institutes/grid.26999.3d", 
              "name": [
                "Graduate School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-0033, Tokyo, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kurokawa", 
            "givenName": "Shunsuke", 
            "id": "sg:person.012652226072.27", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012652226072.27"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "K\u014dchi University", 
              "id": "https://www.grid.ac/institutes/grid.278276.e", 
              "name": [
                "Faculty of Agriculture and Marine Science, Kochi University, 200 Monobe, 783-8502, Nankoku-shi, Kochi, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Murayama", 
            "givenName": "Masafumi", 
            "id": "sg:person.010354662601.20", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010354662601.20"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1029/2010gb003794", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000429990"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.marchem.2007.07.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001952283"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.gca.2015.11.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002635406"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02070392", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002696994", 
              "https://doi.org/10.1007/bf02070392"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02070392", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002696994", 
              "https://doi.org/10.1007/bf02070392"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/1998pa900016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004643340"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40645-016-0087-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005542587", 
              "https://doi.org/10.1186/s40645-016-0087-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40645-016-0087-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005542587", 
              "https://doi.org/10.1186/s40645-016-0087-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40645-016-0080-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005716539", 
              "https://doi.org/10.1186/s40645-016-0080-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40645-016-0080-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005716539", 
              "https://doi.org/10.1186/s40645-016-0080-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1022815027968", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006692908", 
              "https://doi.org/10.1023/a:1022815027968"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1144/gsl.sp.2006.267.01.04", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008113197"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0304-4203(84)90022-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015121724"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0304-4203(84)90022-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015121724"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00391056", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017220346", 
              "https://doi.org/10.1007/bf00391056"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00391056", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017220346", 
              "https://doi.org/10.1007/bf00391056"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2343/geochemj.34.59", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017362333"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-017-9849-5_21", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018360445", 
              "https://doi.org/10.1007/978-94-017-9849-5_21"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2007gc001932", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019391508"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2004pa001071", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019910354"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.margeo.2006.03.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019993113"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40645-016-0100-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020146213", 
              "https://doi.org/10.1186/s40645-016-0100-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40645-016-0100-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020146213", 
              "https://doi.org/10.1186/s40645-016-0100-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.earscirev.2005.10.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023774592"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1065/espr199910.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025727502", 
              "https://doi.org/10.1065/espr199910.002"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jqs.1361", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032625100"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jqs.1361", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032625100"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0967-0637(00)00069-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034145580"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0031-0182(97)00026-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040710840"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.palaeo.2006.11.020", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046216715"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4116/jaqua.51.151", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047136717"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.epsl.2008.07.054", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047491364"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4116/jaqua.37.221", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049618572"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5194/cp-6-63-2010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050117150"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0146-6380(81)90011-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051336807"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0146-6380(81)90011-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051336807"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ar9701777", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055152262"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ar9701777", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055152262"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5047/meep.2014.00201.0001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072567192"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-017-9849-5_2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1089694647", 
              "https://doi.org/10.1007/978-94-017-9849-5_2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-017-9849-5_2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1089694647", 
              "https://doi.org/10.1007/978-94-017-9849-5_2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40645-017-0151-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099698363", 
              "https://doi.org/10.1186/s40645-017-0151-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40645-018-0167-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101772527", 
              "https://doi.org/10.1186/s40645-018-0167-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40645-018-0167-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101772527", 
              "https://doi.org/10.1186/s40645-018-0167-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40645-018-0167-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101772527", 
              "https://doi.org/10.1186/s40645-018-0167-8"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-12", 
        "datePublishedReg": "2019-12-01", 
        "description": "The marine organic carbon content in sediments is a useful tool for reconstructing past productivity in the ocean. Bromine has been proposed as a useful proxy for marine organic carbon, since bromine is more concentrated in marine organic matter compared to terrestrial organic matter. Here, we present a high-resolution Quaternary record of marine organic carbon in the hemipelagic sediments of the Japan Sea obtained during Integrated Ocean Drilling Program (IODP) Expedition 346. We measured the bromine content in the sediments using an XRF core scanner (ITRAX). The total organic carbon content, total nitrogen, and stable carbon isotope values were also measured for discrete samples from the same sediments. The total organic carbon/total nitrogen ratio and the stable carbon isotope ratio of the total organic carbon are used to estimate the marine organic carbon content within the total organic carbon. The Br counts and marine organic carbon content show a high correlation, which we used to construct a calibration equation of the marine organic carbon content from the Br counts. Using the calibration equation, we reconstructed the changes in the marine organic carbon content during the Quaternary with a time resolution of ~ 50 years using sediment cores from IODP Site U1424 in the east central Japan Sea. The method to estimate the marine organic carbon content from the Br counts measured by the XRF core scanner proposed in this paper will be a useful tool to reconstruct the organic carbon content with high resolution and high speed. ", 
        "genre": "research_article", 
        "id": "sg:pub.10.1186/s40645-018-0244-z", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.5905097", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1136393", 
            "issn": [
              "2197-4284"
            ], 
            "name": "Progress in Earth and Planetary Science", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "6"
          }
        ], 
        "name": "High-resolution Quaternary record of marine organic carbon content in the hemipelagic sediments of the Japan Sea from bromine counts measured by XRF core scanner", 
        "pagination": "1", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "9a6776df828eed50a69813f966c6d5d300b26abbe994b66c9b614886750186d3"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s40645-018-0244-z"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1111250457"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s40645-018-0244-z", 
          "https://app.dimensions.ai/details/publication/pub.1111250457"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T08:36", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000314_0000000314/records_55826_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1186%2Fs40645-018-0244-z"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s40645-018-0244-z'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s40645-018-0244-z'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40645-018-0244-z'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40645-018-0244-z'


     

    This table displays all metadata directly associated to this object as RDF triples.

    199 TRIPLES      21 PREDICATES      60 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s40645-018-0244-z schema:about anzsrc-for:04
    2 anzsrc-for:0402
    3 schema:author Na739b8eab763476394d253bca54b48bb
    4 schema:citation sg:pub.10.1007/978-94-017-9849-5_2
    5 sg:pub.10.1007/978-94-017-9849-5_21
    6 sg:pub.10.1007/bf00391056
    7 sg:pub.10.1007/bf02070392
    8 sg:pub.10.1023/a:1022815027968
    9 sg:pub.10.1065/espr199910.002
    10 sg:pub.10.1186/s40645-016-0080-y
    11 sg:pub.10.1186/s40645-016-0087-4
    12 sg:pub.10.1186/s40645-016-0100-y
    13 sg:pub.10.1186/s40645-017-0151-8
    14 sg:pub.10.1186/s40645-018-0167-8
    15 https://doi.org/10.1002/jqs.1361
    16 https://doi.org/10.1016/0146-6380(81)90011-5
    17 https://doi.org/10.1016/0304-4203(84)90022-7
    18 https://doi.org/10.1016/j.earscirev.2005.10.003
    19 https://doi.org/10.1016/j.epsl.2008.07.054
    20 https://doi.org/10.1016/j.gca.2015.11.003
    21 https://doi.org/10.1016/j.marchem.2007.07.007
    22 https://doi.org/10.1016/j.margeo.2006.03.002
    23 https://doi.org/10.1016/j.palaeo.2006.11.020
    24 https://doi.org/10.1016/s0031-0182(97)00026-6
    25 https://doi.org/10.1016/s0967-0637(00)00069-8
    26 https://doi.org/10.1021/ar9701777
    27 https://doi.org/10.1029/1998pa900016
    28 https://doi.org/10.1029/2004pa001071
    29 https://doi.org/10.1029/2007gc001932
    30 https://doi.org/10.1029/2010gb003794
    31 https://doi.org/10.1144/gsl.sp.2006.267.01.04
    32 https://doi.org/10.2343/geochemj.34.59
    33 https://doi.org/10.4116/jaqua.37.221
    34 https://doi.org/10.4116/jaqua.51.151
    35 https://doi.org/10.5047/meep.2014.00201.0001
    36 https://doi.org/10.5194/cp-6-63-2010
    37 schema:datePublished 2019-12
    38 schema:datePublishedReg 2019-12-01
    39 schema:description The marine organic carbon content in sediments is a useful tool for reconstructing past productivity in the ocean. Bromine has been proposed as a useful proxy for marine organic carbon, since bromine is more concentrated in marine organic matter compared to terrestrial organic matter. Here, we present a high-resolution Quaternary record of marine organic carbon in the hemipelagic sediments of the Japan Sea obtained during Integrated Ocean Drilling Program (IODP) Expedition 346. We measured the bromine content in the sediments using an XRF core scanner (ITRAX). The total organic carbon content, total nitrogen, and stable carbon isotope values were also measured for discrete samples from the same sediments. The total organic carbon/total nitrogen ratio and the stable carbon isotope ratio of the total organic carbon are used to estimate the marine organic carbon content within the total organic carbon. The Br counts and marine organic carbon content show a high correlation, which we used to construct a calibration equation of the marine organic carbon content from the Br counts. Using the calibration equation, we reconstructed the changes in the marine organic carbon content during the Quaternary with a time resolution of ~ 50 years using sediment cores from IODP Site U1424 in the east central Japan Sea. The method to estimate the marine organic carbon content from the Br counts measured by the XRF core scanner proposed in this paper will be a useful tool to reconstruct the organic carbon content with high resolution and high speed.
    40 schema:genre research_article
    41 schema:inLanguage en
    42 schema:isAccessibleForFree true
    43 schema:isPartOf N1d929b26895648f0b1506daebe46408c
    44 Nd85b6d701b394a8888cb2fd0b38eddb3
    45 sg:journal.1136393
    46 schema:name High-resolution Quaternary record of marine organic carbon content in the hemipelagic sediments of the Japan Sea from bromine counts measured by XRF core scanner
    47 schema:pagination 1
    48 schema:productId N00222afcf423427b870df7ec0956a8fc
    49 N6231b7cc063748539831891920cf8168
    50 Nb4cf917087864ea08af1a39e3a87ca85
    51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111250457
    52 https://doi.org/10.1186/s40645-018-0244-z
    53 schema:sdDatePublished 2019-04-11T08:36
    54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    55 schema:sdPublisher N5481ccbee0e04f368586ec428471792b
    56 schema:url https://link.springer.com/10.1186%2Fs40645-018-0244-z
    57 sgo:license sg:explorer/license/
    58 sgo:sdDataset articles
    59 rdf:type schema:ScholarlyArticle
    60 N00222afcf423427b870df7ec0956a8fc schema:name doi
    61 schema:value 10.1186/s40645-018-0244-z
    62 rdf:type schema:PropertyValue
    63 N07724da6b88d4c259af7a4e810ecef06 rdf:first sg:person.010354662601.20
    64 rdf:rest rdf:nil
    65 N1185ae3274754a6e874a4232b62d3503 rdf:first sg:person.012652226072.27
    66 rdf:rest N07724da6b88d4c259af7a4e810ecef06
    67 N16de1e20364b4d929461090a30b2b0d9 rdf:first sg:person.011646545305.51
    68 rdf:rest N1185ae3274754a6e874a4232b62d3503
    69 N1d929b26895648f0b1506daebe46408c schema:issueNumber 1
    70 rdf:type schema:PublicationIssue
    71 N5481ccbee0e04f368586ec428471792b schema:name Springer Nature - SN SciGraph project
    72 rdf:type schema:Organization
    73 N6231b7cc063748539831891920cf8168 schema:name readcube_id
    74 schema:value 9a6776df828eed50a69813f966c6d5d300b26abbe994b66c9b614886750186d3
    75 rdf:type schema:PropertyValue
    76 Na739b8eab763476394d253bca54b48bb rdf:first sg:person.013040074734.72
    77 rdf:rest N16de1e20364b4d929461090a30b2b0d9
    78 Nb4cf917087864ea08af1a39e3a87ca85 schema:name dimensions_id
    79 schema:value pub.1111250457
    80 rdf:type schema:PropertyValue
    81 Nd85b6d701b394a8888cb2fd0b38eddb3 schema:volumeNumber 6
    82 rdf:type schema:PublicationVolume
    83 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
    84 schema:name Earth Sciences
    85 rdf:type schema:DefinedTerm
    86 anzsrc-for:0402 schema:inDefinedTermSet anzsrc-for:
    87 schema:name Geochemistry
    88 rdf:type schema:DefinedTerm
    89 sg:grant.5905097 http://pending.schema.org/fundedItem sg:pub.10.1186/s40645-018-0244-z
    90 rdf:type schema:MonetaryGrant
    91 sg:journal.1136393 schema:issn 2197-4284
    92 schema:name Progress in Earth and Planetary Science
    93 rdf:type schema:Periodical
    94 sg:person.010354662601.20 schema:affiliation https://www.grid.ac/institutes/grid.278276.e
    95 schema:familyName Murayama
    96 schema:givenName Masafumi
    97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010354662601.20
    98 rdf:type schema:Person
    99 sg:person.011646545305.51 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
    100 schema:familyName Tada
    101 schema:givenName Ryuji
    102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011646545305.51
    103 rdf:type schema:Person
    104 sg:person.012652226072.27 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
    105 schema:familyName Kurokawa
    106 schema:givenName Shunsuke
    107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012652226072.27
    108 rdf:type schema:Person
    109 sg:person.013040074734.72 schema:affiliation https://www.grid.ac/institutes/grid.263518.b
    110 schema:familyName Seki
    111 schema:givenName Arisa
    112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013040074734.72
    113 rdf:type schema:Person
    114 sg:pub.10.1007/978-94-017-9849-5_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1089694647
    115 https://doi.org/10.1007/978-94-017-9849-5_2
    116 rdf:type schema:CreativeWork
    117 sg:pub.10.1007/978-94-017-9849-5_21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018360445
    118 https://doi.org/10.1007/978-94-017-9849-5_21
    119 rdf:type schema:CreativeWork
    120 sg:pub.10.1007/bf00391056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017220346
    121 https://doi.org/10.1007/bf00391056
    122 rdf:type schema:CreativeWork
    123 sg:pub.10.1007/bf02070392 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002696994
    124 https://doi.org/10.1007/bf02070392
    125 rdf:type schema:CreativeWork
    126 sg:pub.10.1023/a:1022815027968 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006692908
    127 https://doi.org/10.1023/a:1022815027968
    128 rdf:type schema:CreativeWork
    129 sg:pub.10.1065/espr199910.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025727502
    130 https://doi.org/10.1065/espr199910.002
    131 rdf:type schema:CreativeWork
    132 sg:pub.10.1186/s40645-016-0080-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1005716539
    133 https://doi.org/10.1186/s40645-016-0080-y
    134 rdf:type schema:CreativeWork
    135 sg:pub.10.1186/s40645-016-0087-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005542587
    136 https://doi.org/10.1186/s40645-016-0087-4
    137 rdf:type schema:CreativeWork
    138 sg:pub.10.1186/s40645-016-0100-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1020146213
    139 https://doi.org/10.1186/s40645-016-0100-y
    140 rdf:type schema:CreativeWork
    141 sg:pub.10.1186/s40645-017-0151-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099698363
    142 https://doi.org/10.1186/s40645-017-0151-8
    143 rdf:type schema:CreativeWork
    144 sg:pub.10.1186/s40645-018-0167-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101772527
    145 https://doi.org/10.1186/s40645-018-0167-8
    146 rdf:type schema:CreativeWork
    147 https://doi.org/10.1002/jqs.1361 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032625100
    148 rdf:type schema:CreativeWork
    149 https://doi.org/10.1016/0146-6380(81)90011-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051336807
    150 rdf:type schema:CreativeWork
    151 https://doi.org/10.1016/0304-4203(84)90022-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015121724
    152 rdf:type schema:CreativeWork
    153 https://doi.org/10.1016/j.earscirev.2005.10.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023774592
    154 rdf:type schema:CreativeWork
    155 https://doi.org/10.1016/j.epsl.2008.07.054 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047491364
    156 rdf:type schema:CreativeWork
    157 https://doi.org/10.1016/j.gca.2015.11.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002635406
    158 rdf:type schema:CreativeWork
    159 https://doi.org/10.1016/j.marchem.2007.07.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001952283
    160 rdf:type schema:CreativeWork
    161 https://doi.org/10.1016/j.margeo.2006.03.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019993113
    162 rdf:type schema:CreativeWork
    163 https://doi.org/10.1016/j.palaeo.2006.11.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046216715
    164 rdf:type schema:CreativeWork
    165 https://doi.org/10.1016/s0031-0182(97)00026-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040710840
    166 rdf:type schema:CreativeWork
    167 https://doi.org/10.1016/s0967-0637(00)00069-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034145580
    168 rdf:type schema:CreativeWork
    169 https://doi.org/10.1021/ar9701777 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055152262
    170 rdf:type schema:CreativeWork
    171 https://doi.org/10.1029/1998pa900016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004643340
    172 rdf:type schema:CreativeWork
    173 https://doi.org/10.1029/2004pa001071 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019910354
    174 rdf:type schema:CreativeWork
    175 https://doi.org/10.1029/2007gc001932 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019391508
    176 rdf:type schema:CreativeWork
    177 https://doi.org/10.1029/2010gb003794 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000429990
    178 rdf:type schema:CreativeWork
    179 https://doi.org/10.1144/gsl.sp.2006.267.01.04 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008113197
    180 rdf:type schema:CreativeWork
    181 https://doi.org/10.2343/geochemj.34.59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017362333
    182 rdf:type schema:CreativeWork
    183 https://doi.org/10.4116/jaqua.37.221 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049618572
    184 rdf:type schema:CreativeWork
    185 https://doi.org/10.4116/jaqua.51.151 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047136717
    186 rdf:type schema:CreativeWork
    187 https://doi.org/10.5047/meep.2014.00201.0001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072567192
    188 rdf:type schema:CreativeWork
    189 https://doi.org/10.5194/cp-6-63-2010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050117150
    190 rdf:type schema:CreativeWork
    191 https://www.grid.ac/institutes/grid.263518.b schema:alternateName Shinshu University
    192 schema:name Faculty of Science, Shinshu University, 3-1-1 Asahi, Matsumoto, 390-8621, Nagano, Japan
    193 rdf:type schema:Organization
    194 https://www.grid.ac/institutes/grid.26999.3d schema:alternateName University of Tokyo
    195 schema:name Graduate School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-0033, Tokyo, Japan
    196 rdf:type schema:Organization
    197 https://www.grid.ac/institutes/grid.278276.e schema:alternateName Kōchi University
    198 schema:name Faculty of Agriculture and Marine Science, Kochi University, 200 Monobe, 783-8502, Nankoku-shi, Kochi, Japan
    199 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...