Pollen-based climate reconstruction techniques for late Quaternary studies.

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From: Earth-Science Reviews(Vol. 210)
Publisher: Elsevier Science Publishers
Document Type: Report
Length: 753 words

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Keywords Pollen; Climate; Palaeoclimate; Quantitative reconstructions; Probability density functions; Analogues; Transfer functions; Community-based standards Abstract Fossil 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. Author Affiliation: (a) Institute of Earth Surface Dynamics, Geopolis, University of Lausanne, Switzerland (b) Geoecology, Department of Environmental Sciences, University of Basel, Switzerland (c) Department of Geosciences and Geography, P.O. Box 64, 00014, University of Helsinki, Finland (d) Institut des Sciences de l'Evolution-Montpellier (ISEM), University of Montpellier, Centre National de la Recherche Scientifique (CNRS), EPHE, IRD, Montpellier, France (e) Department of Geography, Environment and Geomatics, University of Ottawa, Canada (f) Department of Biology and Centre for Forest Biology, University of Victoria, Canada (g) Department of Biological Sciences, University of Bergen and Bjerknes Centre for Climate Research, Postbox 7803, N-5020 Bergen, Norway (h) ISEM, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France (i) Aix Marseille Univ, CNRS, IRD, INRA, Coll France, CEREGE, Aix-en-Provence, France (j) Institute of Forest Sciences, Chair of Silviculture, Tennenbacherstr. 4, University of Freiburg, 79106 Freiburg, Germany (k) Department of Ecosystem and Landscape Dynamics, University of Amsterdam, the Netherlands (l) Department of Archaeology, University of Exeter, United Kingdom (m) Department of Mathematical Sciences, University of Arkansas, USA (n) Department of Botany, Charles University, Prague, Czechia (o) Department of Geography, University of Oregon, Eugene, Oregon 97403, USA (p) School of Geosciences, University of Edinburgh, UK (q) Royal Botanic Gardens Edinburgh, UK (r) Mount Royal University, Calgary, Alberta, Canada (s) Institute of Pre- and Protohistoric Archaeology, Christian-Albrechts-Universität zu Kiel, Germany (t) Department of Earth and Environmental Sciences, University of Milano-Bicocca, Milan, Italy (u) Woods Institute for the Environment, Stanford University, USA (v) European Commission, Joint Research Centre, Directorate D -- Sustainable Resources - Bio-Economy Unit, Italy (w) Geotop & Department of Earth and atmospheric sciences, Université du Québec à Montréal, Canada (x) School of Geographical Sciences, University of Bristol, UK (y) Laboratoire des Sciences du Climat et de l'Environment, CNRS-CEA-UVSQ, Université Paris-Saclay, France (z) Research Unit of Mathematical Sciences, University of Oulu, Finland (aa) Department of Geoscience, University of Wisconsin-, Madison, USA (ab) Department of Geography, University of Wisconsin-, Madison, USA (ac) Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Geesthacht, Germany (ad) Department of Physical Geography and Landscape Science, Faculty of Geography, Lomonosov Moscow State University, Russia * Corresponding author. Article History: Received 8 May 2020; Revised 20 September 2020; Accepted 24 September 2020 Byline: Manuel Chevalier [chevalier.manuel@gmail.com] (a,*), Basil A.S. Davis (a), Oliver Heiri (b), Heikki Seppä (c), Brian M. Chase (d), Konrad Gajewski (e), Terri Lacourse (f), Richard J. Telford (g), Walter Finsinger (h), Joël Guiot (i), Norbert Kühl (j), S. Yoshi Maezumi (k,l), John R. Tipton (m), Vachel A. Carter (n), Thomas Brussel (o), Leanne N. Phelps (a,p,q), Andria Dawson (r), Marco Zanon (s), Francesca Vallé (t), Connor Nolan (u), Achille Mauri (v), Anne de Vernal (w), Kenji Izumi (x,y), Lasse Holmström (z), Jeremiah Marsicek (aa), Simon Goring (ab), Philipp S. Sommer (a,ac), Michelle Chaput (e), Dmitry Kupriyanov (ad)

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Gale Document Number: GALE|A640647189