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dc.contributor.authorChevalier, Manuel
dc.contributor.authorDavis, Basil A. S.
dc.contributor.authorHeiri, Olivier
dc.contributor.authorSeppä, Heikki
dc.contributor.authorChase, Brian M
dc.contributor.authorGajewski, Konrad
dc.contributor.authorLacourse, Terri
dc.contributor.authorTelford, Richard
dc.contributor.authorFinsinger, Walter
dc.contributor.authorGuiot, Joël
dc.contributor.authorKühl, Norbert
dc.contributor.authorMaezumi, S. Yoshi
dc.contributor.authorTipton, John R.
dc.contributor.authorCarter, Vachel A.
dc.contributor.authorBrussel, Thomas
dc.contributor.authorPhelps, Leanne N.
dc.contributor.authorDawson, Andria
dc.contributor.authorZanon, Marco
dc.contributor.authorVallé, Francesca
dc.contributor.authorNolan, Connor
dc.contributor.authorMauri, Achille
dc.contributor.authorde Vernal, Anne
dc.contributor.authorIzumi, Kenji
dc.contributor.authorHolmström, Lasse
dc.contributor.authorMarsicek, Jeremiah
dc.contributor.authorGoring, Simon
dc.contributor.authorSommer, Philipp S.
dc.contributor.authorChaput, Michelle
dc.contributor.authorKupriyanov, Dimitry
dc.date.accessioned2021-08-09T07:02:30Z
dc.date.available2021-08-09T07:02:30Z
dc.date.created2020-10-09T15:00:28Z
dc.date.issued2020
dc.identifier.issn0012-8252
dc.identifier.urihttps://hdl.handle.net/11250/2766847
dc.description.abstractFossil pollen records are well-established indicators of past vegetation changes. The prevalence of pollen across environmental settings including lakes, wetlands, and marine sediments, has made palynology one of the most ubiquitous and valuable tools for studying past environmental and climatic change globally for decades. A complementary research focus has been the development of statistical techniques to derive quantitative estimates of climatic conditions from pollen assemblages. This paper reviews the most commonly used statistical techniques and their rationale and seeks to provide a resource to facilitate their inclusion in more palaeoclimatic research. To this end, we first address the fundamental aspects of fossil pollen data that should be considered when undertaking pollen-based climate reconstructions. We then introduce the range of techniques currently available, the history of their development, and the situations in which they can be best employed. We review the literature on how to define robust calibration datasets, produce high-quality reconstructions, and evaluate climate reconstructions, and suggest methods and products that could be developed to facilitate accessibility and global usability. To continue to foster the development and inclusion of pollen climate reconstruction methods, we promote the development of reporting standards. When established, such standards should 1) enable broader application of climate reconstruction techniques, especially in regions where such methods are currently underused, and 2) enable the evaluation and reproduction of individual reconstructions, structuring them for the evolving open-science era, and optimising the use of fossil pollen data as a vital means for the study of past environmental and climatic variability. We also strongly encourage developers and users of palaeoclimate reconstruction methodologies to make associated programming code publicly available, which will further help disseminate these techniques to interested communities.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titlePollen-based climate reconstruction techniques for late Quaternary studiesen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2020 The Authorsen_US
dc.source.articlenumber103384en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.doi10.1016/j.earscirev.2020.103384
dc.identifier.cristin1838520
dc.source.journalEarth-Science Reviewsen_US
dc.identifier.citationEarth-Science Reviews. 2020, 210, 103384.en_US
dc.source.volume210en_US


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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