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dc.contributor.authorKoseoglu, Denizcan
dc.contributor.authorBelt, Simon T.
dc.contributor.authorSmik, Lukas
dc.contributor.authorYao, Haoyi
dc.contributor.authorPanieri, Giuliana
dc.contributor.authorKnies, Jochen
dc.date.accessioned2018-06-06T12:58:49Z
dc.date.available2018-06-06T12:58:49Z
dc.date.issued2017-11-10
dc.description.abstractThe discovery of IP25 as a qualitative biomarker proxy for Arctic sea ice and subsequent introduction of the so-called PIP25 index for semi-quantitative descriptions of sea ice conditions has significantly advanced our understanding of long-term paleo Arctic sea ice conditions over the past decade. We investigated the potential for classification tree1 (CT) models to provide a further approach to paleo Arctic sea ice reconstruction through analysis of a suite of highly branched isoprenoid (HBI) biomarkers in ca. 200 surface sediments from the Barents Sea. Four CT models constructed using different HBI assemblages revealed IP25 and an HBI triene as the most appropriate classifiers of sea ice conditions, achieving a >90% cross-validated classification rate. Additionally, lower model performance for locations in the Marginal Ice Zone (MIZ) highlighted difficulties in characterisation of this climatically-sensitive region. CT model classification and semi-quantitative PIP25- derived estimates of spring sea ice concentration (SpSIC) for four downcore records from the region were consistent, although agreement between proxy and satellite/observational records was weaker for a core from the west Svalbard margin, likely due to the highly variable sea conditions. The automatic selection of appropriate biomarkers for description of sea ice conditions, quantitative model assessment, and insensitivity to the c-factor used in the calculation of the PIP25 index are key attributes of the CT approach, and we provide an initial comparative assessment between these potentially complementary methods. The CT model should be capable of generating longer-term temporal shifts in sea ice conditions for the climatically sensitive Barents Sea.en_US
dc.description.sponsorshipUniversity of Plymouthen_US
dc.descriptionAccepted manuscript version. Published version available in <a href=http://doi.org/10.1016/j.gca.2017.11.001> Geochimica et Cosmochimica Acta, 222, 406-420. </a>en_US
dc.identifier.citationKoseoglu, D., Belt, S. T., Smik, L., Yao, H., Panieri, G. & Knies, J. (2017). Complementary biomarker-based methods for characterising Arctic sea ice conditions: A case study comparison between multivariate analysis and the PIP25 index. Geochimica et Cosmochimica Acta, 222, 406-420. http://doi.org/10.1016/j.gca.2017.11.001en_US
dc.identifier.cristinIDFRIDAID 1518998
dc.identifier.doi10.1016/j.gca.2017.11.001
dc.identifier.issn0016-7037
dc.identifier.issn1872-9533
dc.identifier.urihttps://hdl.handle.net/10037/12839
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.journalGeochimica et Cosmochimica Acta
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/SFF/223259/Norway/Centre for Arctic Gas Hydrate, Environment and Climate/CAGE/en_US
dc.rights.accessRightsopenAccessen_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Kvartærgeologi, glasiologi: 465en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Kvartærgeologi, glasiologi: 465en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Geofag: 450en_US
dc.subjectVDP::Mathematics and natural science: 400::Geosciences: 450en_US
dc.titleComplementary biomarker-based methods for characterising Arctic sea ice conditions: A case study comparison between multivariate analysis and the PIP25 indexen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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