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dc.contributor.authorKoseoglu, Denizcan
dc.contributor.authorBelt, Simon T.
dc.contributor.authorHusum, Katrine
dc.contributor.authorKnies, Jochen
dc.date.accessioned2019-03-21T08:55:03Z
dc.date.available2019-03-21T08:55:03Z
dc.date.issued2018-08-30
dc.description.abstractThe development of various combinative methods for Arctic sea ice reconstruction using the sympagic highly-branched isoprenoid (HBI) IP<sub>25</sub> in conjunction with pelagic biomarkers has often facilitated more detailed descriptions of sea ice conditions than using IP<sub>25</sub> alone. Here, we investigated the application of the Phytoplankton-IP<sub>25</sub> index (PIP<sub>25</sub>) and a recently proposed Classification Tree (CT) model for describing temporal shifts in sea ice conditions to assess the consistency of both methods. Based on biomarker data from three downcore records from the Barents Sea spanning millennial timescales, we showcase apparent and potential limitations of both approaches, and provide recommendations for their identification or prevention. Both methods provided generally consistent outcomes and, within the studied cores, captured abrupt shifts in sea ice regimes, such as those evident during the Younger Dryas, as well as more gradual trends in sea ice conditions during the Holocene. The most significant discrepancies occurred during periods of highly unstable climate change, such as those characteristic of the Younger Dryas–Holocene transition. Such intervals of increased discrepancy were identifiable by significant changes of HBI distributions and correlations to values not observed in proximal surface sediments. We suggest that periods of highly36 fluctuating climate that are not represented in modern settings may hinder the performance and complementary application of PIP<sub>25</sub> and CT-based methods, and that data visualisation techniques should be employed to identify such occurrences in downcore records. Additionally, due to the reliance of both methods on biomarker distributions, we emphasise the importance of accurate and consistent biomarker quantification.en_US
dc.descriptionAccepted manuscript version, licensed <a href=http://creativecommons.org/licenses/by-nc-nd/4.0/> CC BY-NC-ND 4.0. </a> Source at: <a href=http://doi.org/10.1016/j.orggeochem.2018.08.014> http://doi.org/10.1016/j.orggeochem.2018.08.014 </a>en_US
dc.identifier.citationKoseoglu, D., Belt, S. T., Husum, K. & Knies, J. (2018). An assessment of biomarker-based multivariate classification methods versus the PIP<sub>25</sub> index for paleo Arctic sea ice reconstruction.<i> Organic Geochemistry, 125</i>, 82-94. http://doi.org/10.1016/j.orggeochem.2018.08.014en_US
dc.identifier.cristinIDFRIDAID 1609961
dc.identifier.doi10.1016/j.orggeochem.2018.08.014
dc.identifier.issn0146-6380
dc.identifier.issn1873-5290
dc.identifier.urihttps://hdl.handle.net/10037/15039
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.journalOrganic Geochemistry
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::Mathematics and natural science: 400::Geosciences: 450::Hydrogeology: 467en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Hydrogeologi: 467en_US
dc.subjectVDP::Mathematics and natural science: 400::Geosciences: 450en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Geofag: 450en_US
dc.titleAn assessment of biomarker-based multivariate classification methods versus the PIP25 index for paleo Arctic sea ice reconstructionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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